diff --git a/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx b/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
new file mode 100644
index 0000000000000000000000000000000000000000..5ed3163cad5922ccc82b403b3a7bc67136a1c6ec
--- /dev/null
+++ b/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
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+64156 88.095 -88.784 37.841 -0.827 -0.478 -0.296 0.0
+64157 88.26 -88.879 37.841 0.0 -0.955 -0.296 0.0
+64158 88.425 -88.784 37.841 0.827 -0.478 -0.296 0.0
+64159 88.451 -88.688 37.959 0.955 0.0 0.296 0.0
+64160 88.356 -88.523 37.959 0.478 0.827 0.296 0.0
+64161 88.164 -88.523 37.959 -0.478 0.827 0.296 0.0
+64162 88.069 -88.688 37.959 -0.955 -0.0 0.296 0.0
+64163 88.164 -88.853 37.959 -0.478 -0.827 0.296 0.0
+64164 88.356 -88.853 37.959 0.478 -0.827 0.296 0.0
+64165 88.404 -88.605 38.011 0.719 0.415 0.558 0.0
+64166 88.26 -88.522 38.011 0.0 0.83 0.558 0.0
+64167 88.116 -88.605 38.011 -0.719 0.415 0.558 0.0
+64168 88.116 -88.771 38.011 -0.719 -0.415 0.558 0.0
+64169 88.26 -88.854 38.011 0.0 -0.83 0.558 0.0
+64170 88.404 -88.771 38.011 0.719 -0.415 0.558 0.0
diff --git a/docs/api.rst b/docs/api.rst
index 01cd734471d5fd962801f5046a9e1d19e306454e..7aaebc55cf22d65c5483ce469a03ef07c85c27f6 100644
--- a/docs/api.rst
+++ b/docs/api.rst
@@ -18,10 +18,13 @@ OrcaSong: Main Framework
 .. autosummary::
   :toctree: api
 
+  parse_input
+  parser_check_input
   calculate_bin_edges
   calculate_bin_edges_test
+  skip_event
+  data_to_images
   main
-  parse_input
 
 
 ``orcasong.file_to_hits``: Extracting event information
diff --git a/docs/getting_started.rst b/docs/getting_started.rst
index a7df373c920d5bd53abb32c3dfda6c1401057b20..3eea8a862f85a80468b52f54e81dda55f1f6dfd4 100644
--- a/docs/getting_started.rst
+++ b/docs/getting_started.rst
@@ -28,7 +28,7 @@ In order to use :code:`tohdf5`, you need to have loaded a jpp version first. A r
 
     /sps/km3net/users/mmoser/setenvAA_jpp9_cent_os7.sh
 
-
+Additionally, you need to have a python environment on Lyon, where you have installed km3pipe (e.g. use a pyenv).
 Then, the usage of :code:`tohdf5` is quite easy::
 
     ~$: tohdf5 -o testfile.h5 /sps/km3net/users/kmcprod/JTE_NEMOWATER/withMX/muon-CC/3-100GeV/JTE.KM3Sim.gseagen.muon-CC.3-100GeV-9.1E7-1bin-3.0gspec.ORCA115_9m_2016.99.root
@@ -138,41 +138,106 @@ After pulling the OrcaSong repo to your local harddisk you first need to install
 
     ~/orcasong$: pip install .
 
-Before you can start to use OrcaSong, you need to provide a file that contains the XYZ positions of the DOMs to OrcaSong.
+Before you can start to use OrcaSong, you need a .detx detector geometry file that corresponds to your input files.
 OrcaSong is currently producing event "images" based on a 1 DOM / XYZ-bin assumption. This image generation is done
 automatically, based on the number of bins (n_bins) for each dimension XYZ that you supply as an input and based on the
-DOM XYZ position file. An examplary file for the DOM positions can be found in the folder /orcasong of the OrcaSong
-repo, "ORCA_Geo_115lines.txt". Currently, this file is hardcoded as an input for OrcaSong, so if you want to use another
-detector geometry, you should include your .txt file in the main() function in "data_to_images.py".
-You can generate this .txt file by taking the .det (not .detx!) file, e.g.::
+.detx file which contains the DOM positions.
+
+If your .detx file is not contained in the OrcaSong/detx_files folder, please add it to the repository!
+Currently, only the 115l ORCA 2016 detx file is available.
 
-    /afs/in2p3.fr/throng/km3net/detectors/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.det
+At this point, you're finally ready to use OrcaSong, it can be executed as follows::
 
-Then, you need to look for the :code:`OM_cluster_data` lines::
+    ~/orcasong$: python data_to_images.py testfile.h5 geofile.detx
 
-    OM_cluster_data: 1  -86.171 116.880 196.500 -1.57080 0.00000 1.57080
-    OM_cluster_data: 2  -86.171 116.880 187.100 -1.57080 0.00000 1.57080
-    ...
+OrcaSong will then generate a hdf5 file with images into the Results folder, e.g. Results/4dTo4d/h5/xyzt.
 
-Here, the first column is the dom_id and the second, third and fourth column is the XYZ position.
-You need to copy this information into a .txt file, such that it can be read by OrcaSong. One could automate this such
-that OrcaSong looks for the correct lines in the .det file automatically, however, multiple (old) conventions exist for
-the .det file structure, so it may be a bit tedious. Nevertheless, contributions are very welcome! :)
+The configuration options of OrcaSong can be found by calling the help::
+
+    ~/orcasong$: python data_to_images.py -h
+    Main OrcaSong code which takes raw simulated .h5 files and the corresponding .detx detector file as input in
+    order to generate 2D/3D/4D histograms ('images') that can be used for CNNs.
+    The input file can be calibrated or not (e.g. contains pos_xyz of the hits).
+    Makes only 4D histograms ('images') by default.
+
+    Usage:
+        data_to_images.py [options] FILENAME DETXFILE
+        data_to_images.py (-h | --help)
+
+    Options:
+        -h --help                       Show this screen.
+
+        -c CONFIGFILE                   Load all options from a config file (.toml format).
+
+        --n_bins N_BINS                 Number of bins that are used in the image making for each dimension, e.g. (x,y,z,t).
+                                        [default: 11,13,18,60]
+
+        --det_geo DET_GEO               Which detector geometry to use for the binning, e.g. 'Orca_115l_23m_h_9m_v'.
+                                        [default: Orca_115l_23m_h_9m_v]
+
+        --do2d                          If 2D histograms, 'images', should be created.
+
+        --do2d_plots                    If 2D pdf plot visualizations of the 2D histograms should be created, cannot be called if do2d=False.
+
+        --do2d_plots_n N                For how many events the 2D plot visualizations should be made.
+                                        OrcaSong will exit after reaching N events. [default: 10]
+
+        --do3d                          If 3D histograms, 'images', should be created.
+
+        --dont_do4d                     If 4D histograms, 'images', should NOT be created.
+
+        --do4d_mode MODE                What dimension should be used in the 4D histograms as the 4th dim.
+                                        Available: 'time', 'channel_id'. [default: time]
+
+        --timecut_mode MODE             Defines what timecut mode should be used in hits_to_histograms.py.
+                                        At the moment, these cuts are only optimized for ORCA 115l neutrino events!
+                                        Currently available:
+                                        'timeslice_relative': Cuts out the central 30% of the snapshot.
+                                        'trigger_cluster': Cuts based on the mean of the triggered hits.
+                                        The timespan for this cut can be chosen in --timecut_timespan.
+                                        'None': No timecut.
+                                        [default: trigger_cluster]
+
+        --timecut_timespan TIMESPAN     Only used with timecut_mode 'trigger_cluster'.
+                                        Defines the timespan of the trigger_cluster cut.
+                                        Currently available:
+                                        'all': [-350ns, 850ns] -> 20ns / bin (60 bins)
+                                        'tight-1': [-250ns, 500ns] -> 12.5ns / bin
+                                        'tight-2': [-150ns, 200ns] -> 5.8ns / bin
+                                        [default: tight-1]
+
+        --do_mc_hits                    If only the mc_hits (no BG hits!) should be used for the image processing.
+
+        --data_cut_triggered            If non-triggered hits should be thrown away for the images.
+
+        --data_cut_e_low E_LOW          Cut events that are lower than the specified threshold value in GeV.
+
+        --data_cut_e_high E_HIGH        Cut events that are higher than the specified threshold value in GeV.
+
+        --data_cut_throw_away FRACTION  Throw away a random fraction (percentage) of events. [default: 0.00]
+
+        --prod_ident PROD_IDENT         Optional int identifier for the used mc production.
+                                        This is useful, if you use events from two different mc productions,
+                                        e.g. the 1-5GeV & 3-100GeV Orca 2016 MC. The prod_ident int will be saved in
+                                        the 'y' dataset of the output file of OrcaSong. [default: 1]
 
-At this point, you're finally ready to use OrcaSong, it can be executed as follows::
 
-    python data_to_images.py testfile.h5
 
 OrcaSong will then generate a hdf5 file with images into the Results folder, e.g. Results/4dTo4d/h5/xyzt.
 
-The configuration options of OrcaSong can be found in the :code:`main()` function.
+Alternatively, they can also be found in the docs of the :code:`main()` function:
 
 .. currentmodule:: orcasong.data_to_images
 .. autosummary::
     main
 
-In the future, these configurations should probably be relocated to a dedicated .config file. Again, contributions and
-thoughts are very welcome!
+Other than parsing every information to orcasong via the console, you can also load a .toml config file::
+
+    ~/orcasong$: python data_to_images.py -c config.toml testfile.h5 geofile.detx
+
+Please checkout the config.toml file in the main folder of the OrcaSong repo in order to get an idea about
+the structure of the config file.
+
 If anything is still unclear after this introduction just tell me in the deep_learning channel on chat.km3net.de or
 write me an email at michael.m.moser@fau.de, such that I can improve this guide!
 
diff --git a/orcasong/ORCA_Geo_115lines.txt b/orcasong/ORCA_Geo_115lines.txt
deleted file mode 100644
index faf536b1ffee554ce3e8ca7de774946fb8bab912..0000000000000000000000000000000000000000
--- a/orcasong/ORCA_Geo_115lines.txt
+++ /dev/null
@@ -1 +0,0 @@
-1	-86.171	116.880	196.500			
2	-86.171	116.880	187.100			
3	-86.171	116.880	178.400			
4	-86.171	116.880	169.000			
5	-86.171	116.880	160.300			
6	-86.171	116.880	150.900			
7	-86.171	116.880	140.000			
8	-86.171	116.880	130.600			
9	-86.171	116.880	121.900			
10	-86.171	116.880	112.500			
11	-86.171	116.880	103.800			
12	-86.171	116.880	94.400			
13	-86.171	116.880	83.500			
14	-86.171	116.880	74.100			
15	-86.171	116.880	65.400			
16	-86.171	116.880	56.000			
17	-86.171	116.880	47.300			
18	-86.171	116.880	37.900			
19	-74.645	99.089	196.500			
20	-74.645	99.089	187.100			
21	-74.645	99.089	178.400			
22	-74.645	99.089	169.000			
23	-74.645	99.089	160.300			
24	-74.645	99.089	150.900			
25	-74.645	99.089	140.000			
26	-74.645	99.089	130.600			
27	-74.645	99.089	121.900			
28	-74.645	99.089	112.500			
29	-74.645	99.089	103.800			
30	-74.645	99.089	94.400			
31	-74.645	99.089	83.500			
32	-74.645	99.089	74.100			
33	-74.645	99.089	65.400			
34	-74.645	99.089	56.000			
35	-74.645	99.089	47.300			
36	-74.645	99.089	37.900			
37	-64.171	116.880	196.500			
38	-64.171	116.880	187.100			
39	-64.171	116.880	178.400			
40	-64.171	116.880	169.000			
41	-64.171	116.880	160.300			
42	-64.171	116.880	150.900			
43	-64.171	116.880	140.000			
44	-64.171	116.880	130.600			
45	-64.171	116.880	121.900			
46	-64.171	116.880	112.500			
47	-64.171	116.880	103.800			
48	-64.171	116.880	94.400			
49	-64.171	116.880	83.500			
50	-64.171	116.880	74.100			
51	-64.171	116.880	65.400			
52	-64.171	116.880	56.000			
53	-64.171	116.880	47.300			
54	-64.171	116.880	37.900			
55	-53.872	98.766	196.500			
56	-53.872	98.766	187.100			
57	-53.872	98.766	178.400			
58	-53.872	98.766	169.000			
59	-53.872	98.766	160.300			
60	-53.872	98.766	150.900			
61	-53.872	98.766	140.000			
62	-53.872	98.766	130.600			
63	-53.872	98.766	121.900			
64	-53.872	98.766	112.500			
65	-53.872	98.766	103.800			
66	-53.872	98.766	94.400			
67	-53.872	98.766	83.500			
68	-53.872	98.766	74.100			
69	-53.872	98.766	65.400			
70	-53.872	98.766	56.000			
71	-53.872	98.766	47.300			
72	-53.872	98.766	37.900			
73	-41.680	117.374	196.500			
74	-41.680	117.374	187.100			
75	-41.680	117.374	178.400			
76	-41.680	117.374	169.000			
77	-41.680	117.374	160.300			
78	-41.680	117.374	150.900			
79	-41.680	117.374	140.000			
80	-41.680	117.374	130.600			
81	-41.680	117.374	121.900			
82	-41.680	117.374	112.500			
83	-41.680	117.374	103.800			
84	-41.680	117.374	94.400			
85	-41.680	117.374	83.500			
86	-41.680	117.374	74.100			
87	-41.680	117.374	65.400			
88	-41.680	117.374	56.000			
89	-41.680	117.374	47.300			
90	-41.680	117.374	37.900			
91	-30.296	99.687	196.500			
92	-30.296	99.687	187.100			
93	-30.296	99.687	178.400			
94	-30.296	99.687	169.000			
95	-30.296	99.687	160.300			
96	-30.296	99.687	150.900			
97	-30.296	99.687	140.000			
98	-30.296	99.687	130.600			
99	-30.296	99.687	121.900			
100	-30.296	99.687	112.500			
101	-30.296	99.687	103.800			
102	-30.296	99.687	94.400			
103	-30.296	99.687	83.500			
104	-30.296	99.687	74.100			
105	-30.296	99.687	65.400			
106	-30.296	99.687	56.000			
107	-30.296	99.687	47.300			
108	-30.296	99.687	37.900			
109	-20.530	120.558	196.500			
110	-20.530	120.558	187.100			
111	-20.530	120.558	178.400			
112	-20.530	120.558	169.000			
113	-20.530	120.558	160.300			
114	-20.530	120.558	150.900			
115	-20.530	120.558	140.000			
116	-20.530	120.558	130.600			
117	-20.530	120.558	121.900			
118	-20.530	120.558	112.500			
119	-20.530	120.558	103.800			
120	-20.530	120.558	94.400			
121	-20.530	120.558	83.500			
122	-20.530	120.558	74.100			
123	-20.530	120.558	65.400			
124	-20.530	120.558	56.000			
125	-20.530	120.558	47.300			
126	-20.530	120.558	37.900			
127	-9.399	100.012	196.500			
128	-9.399	100.012	187.100			
129	-9.399	100.012	178.400			
130	-9.399	100.012	169.000			
131	-9.399	100.012	160.300			
132	-9.399	100.012	150.900			
133	-9.399	100.012	140.000			
134	-9.399	100.012	130.600			
135	-9.399	100.012	121.900			
136	-9.399	100.012	112.500			
137	-9.399	100.012	103.800			
138	-9.399	100.012	94.400			
139	-9.399	100.012	83.500			
140	-9.399	100.012	74.100			
141	-9.399	100.012	65.400			
142	-9.399	100.012	56.000			
143	-9.399	100.012	47.300			
144	-9.399	100.012	37.900			
145	-62.181	77.374	196.500			
146	-62.181	77.374	187.100			
147	-62.181	77.374	178.400			
148	-62.181	77.374	169.000			
149	-62.181	77.374	160.300			
150	-62.181	77.374	150.900			
151	-62.181	77.374	140.000			
152	-62.181	77.374	130.600			
153	-62.181	77.374	121.900			
154	-62.181	77.374	112.500			
155	-62.181	77.374	103.800			
156	-62.181	77.374	94.400			
157	-62.181	77.374	83.500			
158	-62.181	77.374	74.100			
159	-62.181	77.374	65.400			
160	-62.181	77.374	56.000			
161	-62.181	77.374	47.300			
162	-62.181	77.374	37.900			
163	-51.959	54.747	196.500			
164	-51.959	54.747	187.100			
165	-51.959	54.747	178.400			
166	-51.959	54.747	169.000			
167	-51.959	54.747	160.300			
168	-51.959	54.747	150.900			
169	-51.959	54.747	140.000			
170	-51.959	54.747	130.600			
171	-51.959	54.747	121.900			
172	-51.959	54.747	112.500			
173	-51.959	54.747	103.800			
174	-51.959	54.747	94.400			
175	-51.959	54.747	83.500			
176	-51.959	54.747	74.100			
177	-51.959	54.747	65.400			
178	-51.959	54.747	56.000			
179	-51.959	54.747	47.300			
180	-51.959	54.747	37.900			
181	-86.156	75.046	196.500			
182	-86.156	75.046	187.100			
183	-86.156	75.046	178.400			
184	-86.156	75.046	169.000			
185	-86.156	75.046	160.300			
186	-86.156	75.046	150.900			
187	-86.156	75.046	140.000			
188	-86.156	75.046	130.600			
189	-86.156	75.046	121.900			
190	-86.156	75.046	112.500			
191	-86.156	75.046	103.800			
192	-86.156	75.046	94.400			
193	-86.156	75.046	83.500			
194	-86.156	75.046	74.100			
195	-86.156	75.046	65.400			
196	-86.156	75.046	56.000			
197	-86.156	75.046	47.300			
198	-86.156	75.046	37.900			
199	-97.965	55.080	196.500			
200	-97.965	55.080	187.100			
201	-97.965	55.080	178.400			
202	-97.965	55.080	169.000			
203	-97.965	55.080	160.300			
204	-97.965	55.080	150.900			
205	-97.965	55.080	140.000			
206	-97.965	55.080	130.600			
207	-97.965	55.080	121.900			
208	-97.965	55.080	112.500			
209	-97.965	55.080	103.800			
210	-97.965	55.080	94.400			
211	-97.965	55.080	83.500			
212	-97.965	55.080	74.100			
213	-97.965	55.080	65.400			
214	-97.965	55.080	56.000			
215	-97.965	55.080	47.300			
216	-97.965	55.080	37.900			
217	-74.853	58.227	196.500			
218	-74.853	58.227	187.100			
219	-74.853	58.227	178.400			
220	-74.853	58.227	169.000			
221	-74.853	58.227	160.300			
222	-74.853	58.227	150.900			
223	-74.853	58.227	140.000			
224	-74.853	58.227	130.600			
225	-74.853	58.227	121.900			
226	-74.853	58.227	112.500			
227	-74.853	58.227	103.800			
228	-74.853	58.227	94.400			
229	-74.853	58.227	83.500			
230	-74.853	58.227	74.100			
231	-74.853	58.227	65.400			
232	-74.853	58.227	56.000			
233	-74.853	58.227	47.300			
234	-74.853	58.227	37.900			
235	-64.704	33.942	196.500			
236	-64.704	33.942	187.100			
237	-64.704	33.942	178.400			
238	-64.704	33.942	169.000			
239	-64.704	33.942	160.300			
240	-64.704	33.942	150.900			
241	-64.704	33.942	140.000			
242	-64.704	33.942	130.600			
243	-64.704	33.942	121.900			
244	-64.704	33.942	112.500			
245	-64.704	33.942	103.800			
246	-64.704	33.942	94.400			
247	-64.704	33.942	83.500			
248	-64.704	33.942	74.100			
249	-64.704	33.942	65.400			
250	-64.704	33.942	56.000			
251	-64.704	33.942	47.300			
252	-64.704	33.942	37.900			
253	-43.641	35.500	196.500			
254	-43.641	35.500	187.100			
255	-43.641	35.500	178.400			
256	-43.641	35.500	169.000			
257	-43.641	35.500	160.300			
258	-43.641	35.500	150.900			
259	-43.641	35.500	140.000			
260	-43.641	35.500	130.600			
261	-43.641	35.500	121.900			
262	-43.641	35.500	112.500			
263	-43.641	35.500	103.800			
264	-43.641	35.500	94.400			
265	-43.641	35.500	83.500			
266	-43.641	35.500	74.100			
267	-43.641	35.500	65.400			
268	-43.641	35.500	56.000			
269	-43.641	35.500	47.300			
270	-43.641	35.500	37.900			
271	-42.029	77.075	196.500			
272	-42.029	77.075	187.100			
273	-42.029	77.075	178.400			
274	-42.029	77.075	169.000			
275	-42.029	77.075	160.300			
276	-42.029	77.075	150.900			
277	-42.029	77.075	140.000			
278	-42.029	77.075	130.600			
279	-42.029	77.075	121.900			
280	-42.029	77.075	112.500			
281	-42.029	77.075	103.800			
282	-42.029	77.075	94.400			
283	-42.029	77.075	83.500			
284	-42.029	77.075	74.100			
285	-42.029	77.075	65.400			
286	-42.029	77.075	56.000			
287	-42.029	77.075	47.300			
288	-42.029	77.075	37.900			
289	-30.747	55.656	196.500			
290	-30.747	55.656	187.100			
291	-30.747	55.656	178.400			
292	-30.747	55.656	169.000			
293	-30.747	55.656	160.300			
294	-30.747	55.656	150.900			
295	-30.747	55.656	140.000			
296	-30.747	55.656	130.600			
297	-30.747	55.656	121.900			
298	-30.747	55.656	112.500			
299	-30.747	55.656	103.800			
300	-30.747	55.656	94.400			
301	-30.747	55.656	83.500			
302	-30.747	55.656	74.100			
303	-30.747	55.656	65.400			
304	-30.747	55.656	56.000			
305	-30.747	55.656	47.300			
306	-30.747	55.656	37.900			
307	-20.204	37.143	196.500			
308	-20.204	37.143	187.100			
309	-20.204	37.143	178.400			
310	-20.204	37.143	169.000			
311	-20.204	37.143	160.300			
312	-20.204	37.143	150.900			
313	-20.204	37.143	140.000			
314	-20.204	37.143	130.600			
315	-20.204	37.143	121.900			
316	-20.204	37.143	112.500			
317	-20.204	37.143	103.800			
318	-20.204	37.143	94.400			
319	-20.204	37.143	83.500			
320	-20.204	37.143	74.100			
321	-20.204	37.143	65.400			
322	-20.204	37.143	56.000			
323	-20.204	37.143	47.300			
324	-20.204	37.143	37.900			
325	-19.174	78.240	196.500			
326	-19.174	78.240	187.100			
327	-19.174	78.240	178.400			
328	-19.174	78.240	169.000			
329	-19.174	78.240	160.300			
330	-19.174	78.240	150.900			
331	-19.174	78.240	140.000			
332	-19.174	78.240	130.600			
333	-19.174	78.240	121.900			
334	-19.174	78.240	112.500			
335	-19.174	78.240	103.800			
336	-19.174	78.240	94.400			
337	-19.174	78.240	83.500			
338	-19.174	78.240	74.100			
339	-19.174	78.240	65.400			
340	-19.174	78.240	56.000			
341	-19.174	78.240	47.300			
342	-19.174	78.240	37.900			
343	-10.592	55.253	196.500			
344	-10.592	55.253	187.100			
345	-10.592	55.253	178.400			
346	-10.592	55.253	169.000			
347	-10.592	55.253	160.300			
348	-10.592	55.253	150.900			
349	-10.592	55.253	140.000			
350	-10.592	55.253	130.600			
351	-10.592	55.253	121.900			
352	-10.592	55.253	112.500			
353	-10.592	55.253	103.800			
354	-10.592	55.253	94.400			
355	-10.592	55.253	83.500			
356	-10.592	55.253	74.100			
357	-10.592	55.253	65.400			
358	-10.592	55.253	56.000			
359	-10.592	55.253	47.300			
360	-10.592	55.253	37.900			
361	1.505	38.033	196.500			
362	1.505	38.033	187.100			
363	1.505	38.033	178.400			
364	1.505	38.033	169.000			
365	1.505	38.033	160.300			
366	1.505	38.033	150.900			
367	1.505	38.033	140.000			
368	1.505	38.033	130.600			
369	1.505	38.033	121.900			
370	1.505	38.033	112.500			
371	1.505	38.033	103.800			
372	1.505	38.033	94.400			
373	1.505	38.033	83.500			
374	1.505	38.033	74.100			
375	1.505	38.033	65.400			
376	1.505	38.033	56.000			
377	1.505	38.033	47.300			
378	1.505	38.033	37.900			
379	0.928	76.458	196.500			
380	0.928	76.458	187.100			
381	0.928	76.458	178.400			
382	0.928	76.458	169.000			
383	0.928	76.458	160.300			
384	0.928	76.458	150.900			
385	0.928	76.458	140.000			
386	0.928	76.458	130.600			
387	0.928	76.458	121.900			
388	0.928	76.458	112.500			
389	0.928	76.458	103.800			
390	0.928	76.458	94.400			
391	0.928	76.458	83.500			
392	0.928	76.458	74.100			
393	0.928	76.458	65.400			
394	0.928	76.458	56.000			
395	0.928	76.458	47.300			
396	0.928	76.458	37.900			
397	14.343	55.612	196.500			
398	14.343	55.612	187.100			
399	14.343	55.612	178.400			
400	14.343	55.612	169.000			
401	14.343	55.612	160.300			
402	14.343	55.612	150.900			
403	14.343	55.612	140.000			
404	14.343	55.612	130.600			
405	14.343	55.612	121.900			
406	14.343	55.612	112.500			
407	14.343	55.612	103.800			
408	14.343	55.612	94.400			
409	14.343	55.612	83.500			
410	14.343	55.612	74.100			
411	14.343	55.612	65.400			
412	14.343	55.612	56.000			
413	14.343	55.612	47.300			
414	14.343	55.612	37.900			
415	24.350	36.342	196.500			
416	24.350	36.342	187.100			
417	24.350	36.342	178.400			
418	24.350	36.342	169.000			
419	24.350	36.342	160.300			
420	24.350	36.342	150.900			
421	24.350	36.342	140.000			
422	24.350	36.342	130.600			
423	24.350	36.342	121.900			
424	24.350	36.342	112.500			
425	24.350	36.342	103.800			
426	24.350	36.342	94.400			
427	24.350	36.342	83.500			
428	24.350	36.342	74.100			
429	24.350	36.342	65.400			
430	24.350	36.342	56.000			
431	24.350	36.342	47.300			
432	24.350	36.342	37.900			
433	-54.968	14.430	196.500			
434	-54.968	14.430	187.100			
435	-54.968	14.430	178.400			
436	-54.968	14.430	169.000			
437	-54.968	14.430	160.300			
438	-54.968	14.430	150.900			
439	-54.968	14.430	140.000			
440	-54.968	14.430	130.600			
441	-54.968	14.430	121.900			
442	-54.968	14.430	112.500			
443	-54.968	14.430	103.800			
444	-54.968	14.430	94.400			
445	-54.968	14.430	83.500			
446	-54.968	14.430	74.100			
447	-54.968	14.430	65.400			
448	-54.968	14.430	56.000			
449	-54.968	14.430	47.300			
450	-54.968	14.430	37.900			
451	-75.103	12.872	196.500			
452	-75.103	12.872	187.100			
453	-75.103	12.872	178.400			
454	-75.103	12.872	169.000			
455	-75.103	12.872	160.300			
456	-75.103	12.872	150.900			
457	-75.103	12.872	140.000			
458	-75.103	12.872	130.600			
459	-75.103	12.872	121.900			
460	-75.103	12.872	112.500			
461	-75.103	12.872	103.800			
462	-75.103	12.872	94.400			
463	-75.103	12.872	83.500			
464	-75.103	12.872	74.100			
465	-75.103	12.872	65.400			
466	-75.103	12.872	56.000			
467	-75.103	12.872	47.300			
468	-75.103	12.872	37.900			
469	-84.413	34.895	196.500			
470	-84.413	34.895	187.100			
471	-84.413	34.895	178.400			
472	-84.413	34.895	169.000			
473	-84.413	34.895	160.300			
474	-84.413	34.895	150.900			
475	-84.413	34.895	140.000			
476	-84.413	34.895	130.600			
477	-84.413	34.895	121.900			
478	-84.413	34.895	112.500			
479	-84.413	34.895	103.800			
480	-84.413	34.895	94.400			
481	-84.413	34.895	83.500			
482	-84.413	34.895	74.100			
483	-84.413	34.895	65.400			
484	-84.413	34.895	56.000			
485	-84.413	34.895	47.300			
486	-84.413	34.895	37.900			
487	-95.977	14.529	196.500			
488	-95.977	14.529	187.100			
489	-95.977	14.529	178.400			
490	-95.977	14.529	169.000			
491	-95.977	14.529	160.300			
492	-95.977	14.529	150.900			
493	-95.977	14.529	140.000			
494	-95.977	14.529	130.600			
495	-95.977	14.529	121.900			
496	-95.977	14.529	112.500			
497	-95.977	14.529	103.800			
498	-95.977	14.529	94.400			
499	-95.977	14.529	83.500			
500	-95.977	14.529	74.100			
501	-95.977	14.529	65.400			
502	-95.977	14.529	56.000			
503	-95.977	14.529	47.300			
504	-95.977	14.529	37.900			
505	-108.042	34.052	196.500			
506	-108.042	34.052	187.100			
507	-108.042	34.052	178.400			
508	-108.042	34.052	169.000			
509	-108.042	34.052	160.300			
510	-108.042	34.052	150.900			
511	-108.042	34.052	140.000			
512	-108.042	34.052	130.600			
513	-108.042	34.052	121.900			
514	-108.042	34.052	112.500			
515	-108.042	34.052	103.800			
516	-108.042	34.052	94.400			
517	-108.042	34.052	83.500			
518	-108.042	34.052	74.100			
519	-108.042	34.052	65.400			
520	-108.042	34.052	56.000			
521	-108.042	34.052	47.300			
522	-108.042	34.052	37.900			
523	-65.910	-6.046	196.500			
524	-65.910	-6.046	187.100			
525	-65.910	-6.046	178.400			
526	-65.910	-6.046	169.000			
527	-65.910	-6.046	160.300			
528	-65.910	-6.046	150.900			
529	-65.910	-6.046	140.000			
530	-65.910	-6.046	130.600			
531	-65.910	-6.046	121.900			
532	-65.910	-6.046	112.500			
533	-65.910	-6.046	103.800			
534	-65.910	-6.046	94.400			
535	-65.910	-6.046	83.500			
536	-65.910	-6.046	74.100			
537	-65.910	-6.046	65.400			
538	-65.910	-6.046	56.000			
539	-65.910	-6.046	47.300			
540	-65.910	-6.046	37.900			
541	-42.332	-5.619	196.500			
542	-42.332	-5.619	187.100			
543	-42.332	-5.619	178.400			
544	-42.332	-5.619	169.000			
545	-42.332	-5.619	160.300			
546	-42.332	-5.619	150.900			
547	-42.332	-5.619	140.000			
548	-42.332	-5.619	130.600			
549	-42.332	-5.619	121.900			
550	-42.332	-5.619	112.500			
551	-42.332	-5.619	103.800			
552	-42.332	-5.619	94.400			
553	-42.332	-5.619	83.500			
554	-42.332	-5.619	74.100			
555	-42.332	-5.619	65.400			
556	-42.332	-5.619	56.000			
557	-42.332	-5.619	47.300			
558	-42.332	-5.619	37.900			
559	-31.109	14.124	196.500			
560	-31.109	14.124	187.100			
561	-31.109	14.124	178.400			
562	-31.109	14.124	169.000			
563	-31.109	14.124	160.300			
564	-31.109	14.124	150.900			
565	-31.109	14.124	140.000			
566	-31.109	14.124	130.600			
567	-31.109	14.124	121.900			
568	-31.109	14.124	112.500			
569	-31.109	14.124	103.800			
570	-31.109	14.124	94.400			
571	-31.109	14.124	83.500			
572	-31.109	14.124	74.100			
573	-31.109	14.124	65.400			
574	-31.109	14.124	56.000			
575	-31.109	14.124	47.300			
576	-31.109	14.124	37.900			
577	-20.739	-5.146	196.500			
578	-20.739	-5.146	187.100			
579	-20.739	-5.146	178.400			
580	-20.739	-5.146	169.000			
581	-20.739	-5.146	160.300			
582	-20.739	-5.146	150.900			
583	-20.739	-5.146	140.000			
584	-20.739	-5.146	130.600			
585	-20.739	-5.146	121.900			
586	-20.739	-5.146	112.500			
587	-20.739	-5.146	103.800			
588	-20.739	-5.146	94.400			
589	-20.739	-5.146	83.500			
590	-20.739	-5.146	74.100			
591	-20.739	-5.146	65.400			
592	-20.739	-5.146	56.000			
593	-20.739	-5.146	47.300			
594	-20.739	-5.146	37.900			
595	-9.962	15.527	196.500			
596	-9.962	15.527	187.100			
597	-9.962	15.527	178.400			
598	-9.962	15.527	169.000			
599	-9.962	15.527	160.300			
600	-9.962	15.527	150.900			
601	-9.962	15.527	140.000			
602	-9.962	15.527	130.600			
603	-9.962	15.527	121.900			
604	-9.962	15.527	112.500			
605	-9.962	15.527	103.800			
606	-9.962	15.527	94.400			
607	-9.962	15.527	83.500			
608	-9.962	15.527	74.100			
609	-9.962	15.527	65.400			
610	-9.962	15.527	56.000			
611	-9.962	15.527	47.300			
612	-9.962	15.527	37.900			
613	13.699	15.640	196.500			
614	13.699	15.640	187.100			
615	13.699	15.640	178.400			
616	13.699	15.640	169.000			
617	13.699	15.640	160.300			
618	13.699	15.640	150.900			
619	13.699	15.640	140.000			
620	13.699	15.640	130.600			
621	13.699	15.640	121.900			
622	13.699	15.640	112.500			
623	13.699	15.640	103.800			
624	13.699	15.640	94.400			
625	13.699	15.640	83.500			
626	13.699	15.640	74.100			
627	13.699	15.640	65.400			
628	13.699	15.640	56.000			
629	13.699	15.640	47.300			
630	13.699	15.640	37.900			
631	2.979	-7.470	196.500			
632	2.979	-7.470	187.100			
633	2.979	-7.470	178.400			
634	2.979	-7.470	169.000			
635	2.979	-7.470	160.300			
636	2.979	-7.470	150.900			
637	2.979	-7.470	140.000			
638	2.979	-7.470	130.600			
639	2.979	-7.470	121.900			
640	2.979	-7.470	112.500			
641	2.979	-7.470	103.800			
642	2.979	-7.470	94.400			
643	2.979	-7.470	83.500			
644	2.979	-7.470	74.100			
645	2.979	-7.470	65.400			
646	2.979	-7.470	56.000			
647	2.979	-7.470	47.300			
648	2.979	-7.470	37.900			
649	-51.392	-25.446	196.500			
650	-51.392	-25.446	187.100			
651	-51.392	-25.446	178.400			
652	-51.392	-25.446	169.000			
653	-51.392	-25.446	160.300			
654	-51.392	-25.446	150.900			
655	-51.392	-25.446	140.000			
656	-51.392	-25.446	130.600			
657	-51.392	-25.446	121.900			
658	-51.392	-25.446	112.500			
659	-51.392	-25.446	103.800			
660	-51.392	-25.446	94.400			
661	-51.392	-25.446	83.500			
662	-51.392	-25.446	74.100			
663	-51.392	-25.446	65.400			
664	-51.392	-25.446	56.000			
665	-51.392	-25.446	47.300			
666	-51.392	-25.446	37.900			
667	-87.056	-7.832	196.500			
668	-87.056	-7.832	187.100			
669	-87.056	-7.832	178.400			
670	-87.056	-7.832	169.000			
671	-87.056	-7.832	160.300			
672	-87.056	-7.832	150.900			
673	-87.056	-7.832	140.000			
674	-87.056	-7.832	130.600			
675	-87.056	-7.832	121.900			
676	-87.056	-7.832	112.500			
677	-87.056	-7.832	103.800			
678	-87.056	-7.832	94.400			
679	-87.056	-7.832	83.500			
680	-87.056	-7.832	74.100			
681	-87.056	-7.832	65.400			
682	-87.056	-7.832	56.000			
683	-87.056	-7.832	47.300			
684	-87.056	-7.832	37.900			
685	-108.601	-7.028	196.500			
686	-108.601	-7.028	187.100			
687	-108.601	-7.028	178.400			
688	-108.601	-7.028	169.000			
689	-108.601	-7.028	160.300			
690	-108.601	-7.028	150.900			
691	-108.601	-7.028	140.000			
692	-108.601	-7.028	130.600			
693	-108.601	-7.028	121.900			
694	-108.601	-7.028	112.500			
695	-108.601	-7.028	103.800			
696	-108.601	-7.028	94.400			
697	-108.601	-7.028	83.500			
698	-108.601	-7.028	74.100			
699	-108.601	-7.028	65.400			
700	-108.601	-7.028	56.000			
701	-108.601	-7.028	47.300			
702	-108.601	-7.028	37.900			
703	-73.363	-27.210	196.500			
704	-73.363	-27.210	187.100			
705	-73.363	-27.210	178.400			
706	-73.363	-27.210	169.000			
707	-73.363	-27.210	160.300			
708	-73.363	-27.210	150.900			
709	-73.363	-27.210	140.000			
710	-73.363	-27.210	130.600			
711	-73.363	-27.210	121.900			
712	-73.363	-27.210	112.500			
713	-73.363	-27.210	103.800			
714	-73.363	-27.210	94.400			
715	-73.363	-27.210	83.500			
716	-73.363	-27.210	74.100			
717	-73.363	-27.210	65.400			
718	-73.363	-27.210	56.000			
719	-73.363	-27.210	47.300			
720	-73.363	-27.210	37.900			
721	-96.188	-25.270	196.500			
722	-96.188	-25.270	187.100			
723	-96.188	-25.270	178.400			
724	-96.188	-25.270	169.000			
725	-96.188	-25.270	160.300			
726	-96.188	-25.270	150.900			
727	-96.188	-25.270	140.000			
728	-96.188	-25.270	130.600			
729	-96.188	-25.270	121.900			
730	-96.188	-25.270	112.500			
731	-96.188	-25.270	103.800			
732	-96.188	-25.270	94.400			
733	-96.188	-25.270	83.500			
734	-96.188	-25.270	74.100			
735	-96.188	-25.270	65.400			
736	-96.188	-25.270	56.000			
737	-96.188	-25.270	47.300			
738	-96.188	-25.270	37.900			
739	-30.971	-25.102	196.500			
740	-30.971	-25.102	187.100			
741	-30.971	-25.102	178.400			
742	-30.971	-25.102	169.000			
743	-30.971	-25.102	160.300			
744	-30.971	-25.102	150.900			
745	-30.971	-25.102	140.000			
746	-30.971	-25.102	130.600			
747	-30.971	-25.102	121.900			
748	-30.971	-25.102	112.500			
749	-30.971	-25.102	103.800			
750	-30.971	-25.102	94.400			
751	-30.971	-25.102	83.500			
752	-30.971	-25.102	74.100			
753	-30.971	-25.102	65.400			
754	-30.971	-25.102	56.000			
755	-30.971	-25.102	47.300			
756	-30.971	-25.102	37.900			
757	-9.679	-25.227	196.500			
758	-9.679	-25.227	187.100			
759	-9.679	-25.227	178.400			
760	-9.679	-25.227	169.000			
761	-9.679	-25.227	160.300			
762	-9.679	-25.227	150.900			
763	-9.679	-25.227	140.000			
764	-9.679	-25.227	130.600			
765	-9.679	-25.227	121.900			
766	-9.679	-25.227	112.500			
767	-9.679	-25.227	103.800			
768	-9.679	-25.227	94.400			
769	-9.679	-25.227	83.500			
770	-9.679	-25.227	74.100			
771	-9.679	-25.227	65.400			
772	-9.679	-25.227	56.000			
773	-9.679	-25.227	47.300			
774	-9.679	-25.227	37.900			
775	12.256	-28.696	196.500			
776	12.256	-28.696	187.100			
777	12.256	-28.696	178.400			
778	12.256	-28.696	169.000			
779	12.256	-28.696	160.300			
780	12.256	-28.696	150.900			
781	12.256	-28.696	140.000			
782	12.256	-28.696	130.600			
783	12.256	-28.696	121.900			
784	12.256	-28.696	112.500			
785	12.256	-28.696	103.800			
786	12.256	-28.696	94.400			
787	12.256	-28.696	83.500			
788	12.256	-28.696	74.100			
789	12.256	-28.696	65.400			
790	12.256	-28.696	56.000			
791	12.256	-28.696	47.300			
792	12.256	-28.696	37.900			
793	-87.061	-47.684	196.500			
794	-87.061	-47.684	187.100			
795	-87.061	-47.684	178.400			
796	-87.061	-47.684	169.000			
797	-87.061	-47.684	160.300			
798	-87.061	-47.684	150.900			
799	-87.061	-47.684	140.000			
800	-87.061	-47.684	130.600			
801	-87.061	-47.684	121.900			
802	-87.061	-47.684	112.500			
803	-87.061	-47.684	103.800			
804	-87.061	-47.684	94.400			
805	-87.061	-47.684	83.500			
806	-87.061	-47.684	74.100			
807	-87.061	-47.684	65.400			
808	-87.061	-47.684	56.000			
809	-87.061	-47.684	47.300			
810	-87.061	-47.684	37.900			
811	-65.272	-47.490	196.500			
812	-65.272	-47.490	187.100			
813	-65.272	-47.490	178.400			
814	-65.272	-47.490	169.000			
815	-65.272	-47.490	160.300			
816	-65.272	-47.490	150.900			
817	-65.272	-47.490	140.000			
818	-65.272	-47.490	130.600			
819	-65.272	-47.490	121.900			
820	-65.272	-47.490	112.500			
821	-65.272	-47.490	103.800			
822	-65.272	-47.490	94.400			
823	-65.272	-47.490	83.500			
824	-65.272	-47.490	74.100			
825	-65.272	-47.490	65.400			
826	-65.272	-47.490	56.000			
827	-65.272	-47.490	47.300			
828	-65.272	-47.490	37.900			
829	-42.618	-48.681	196.500			
830	-42.618	-48.681	187.100			
831	-42.618	-48.681	178.400			
832	-42.618	-48.681	169.000			
833	-42.618	-48.681	160.300			
834	-42.618	-48.681	150.900			
835	-42.618	-48.681	140.000			
836	-42.618	-48.681	130.600			
837	-42.618	-48.681	121.900			
838	-42.618	-48.681	112.500			
839	-42.618	-48.681	103.800			
840	-42.618	-48.681	94.400			
841	-42.618	-48.681	83.500			
842	-42.618	-48.681	74.100			
843	-42.618	-48.681	65.400			
844	-42.618	-48.681	56.000			
845	-42.618	-48.681	47.300			
846	-42.618	-48.681	37.900			
847	-19.525	-46.174	196.500			
848	-19.525	-46.174	187.100			
849	-19.525	-46.174	178.400			
850	-19.525	-46.174	169.000			
851	-19.525	-46.174	160.300			
852	-19.525	-46.174	150.900			
853	-19.525	-46.174	140.000			
854	-19.525	-46.174	130.600			
855	-19.525	-46.174	121.900			
856	-19.525	-46.174	112.500			
857	-19.525	-46.174	103.800			
858	-19.525	-46.174	94.400			
859	-19.525	-46.174	83.500			
860	-19.525	-46.174	74.100			
861	-19.525	-46.174	65.400			
862	-19.525	-46.174	56.000			
863	-19.525	-46.174	47.300			
864	-19.525	-46.174	37.900			
865	-75.171	-111.120	196.500			
866	-75.171	-111.120	187.100			
867	-75.171	-111.120	178.400			
868	-75.171	-111.120	169.000			
869	-75.171	-111.120	160.300			
870	-75.171	-111.120	150.900			
871	-75.171	-111.120	140.000			
872	-75.171	-111.120	130.600			
873	-75.171	-111.120	121.900			
874	-75.171	-111.120	112.500			
875	-75.171	-111.120	103.800			
876	-75.171	-111.120	94.400			
877	-75.171	-111.120	83.500			
878	-75.171	-111.120	74.100			
879	-75.171	-111.120	65.400			
880	-75.171	-111.120	56.000			
881	-75.171	-111.120	47.300			
882	-75.171	-111.120	37.900			
883	-85.032	-90.580	196.500			
884	-85.032	-90.580	187.100			
885	-85.032	-90.580	178.400			
886	-85.032	-90.580	169.000			
887	-85.032	-90.580	160.300			
888	-85.032	-90.580	150.900			
889	-85.032	-90.580	140.000			
890	-85.032	-90.580	130.600			
891	-85.032	-90.580	121.900			
892	-85.032	-90.580	112.500			
893	-85.032	-90.580	103.800			
894	-85.032	-90.580	94.400			
895	-85.032	-90.580	83.500			
896	-85.032	-90.580	74.100			
897	-85.032	-90.580	65.400			
898	-85.032	-90.580	56.000			
899	-85.032	-90.580	47.300			
900	-85.032	-90.580	37.900			
901	-75.278	-68.721	196.500			
902	-75.278	-68.721	187.100			
903	-75.278	-68.721	178.400			
904	-75.278	-68.721	169.000			
905	-75.278	-68.721	160.300			
906	-75.278	-68.721	150.900			
907	-75.278	-68.721	140.000			
908	-75.278	-68.721	130.600			
909	-75.278	-68.721	121.900			
910	-75.278	-68.721	112.500			
911	-75.278	-68.721	103.800			
912	-75.278	-68.721	94.400			
913	-75.278	-68.721	83.500			
914	-75.278	-68.721	74.100			
915	-75.278	-68.721	65.400			
916	-75.278	-68.721	56.000			
917	-75.278	-68.721	47.300			
918	-75.278	-68.721	37.900			
919	-98.357	-68.703	196.500			
920	-98.357	-68.703	187.100			
921	-98.357	-68.703	178.400			
922	-98.357	-68.703	169.000			
923	-98.357	-68.703	160.300			
924	-98.357	-68.703	150.900			
925	-98.357	-68.703	140.000			
926	-98.357	-68.703	130.600			
927	-98.357	-68.703	121.900			
928	-98.357	-68.703	112.500			
929	-98.357	-68.703	103.800			
930	-98.357	-68.703	94.400			
931	-98.357	-68.703	83.500			
932	-98.357	-68.703	74.100			
933	-98.357	-68.703	65.400			
934	-98.357	-68.703	56.000			
935	-98.357	-68.703	47.300			
936	-98.357	-68.703	37.900			
937	-51.961	-109.378	196.500			
938	-51.961	-109.378	187.100			
939	-51.961	-109.378	178.400			
940	-51.961	-109.378	169.000			
941	-51.961	-109.378	160.300			
942	-51.961	-109.378	150.900			
943	-51.961	-109.378	140.000			
944	-51.961	-109.378	130.600			
945	-51.961	-109.378	121.900			
946	-51.961	-109.378	112.500			
947	-51.961	-109.378	103.800			
948	-51.961	-109.378	94.400			
949	-51.961	-109.378	83.500			
950	-51.961	-109.378	74.100			
951	-51.961	-109.378	65.400			
952	-51.961	-109.378	56.000			
953	-51.961	-109.378	47.300			
954	-51.961	-109.378	37.900			
955	-62.497	-90.182	196.500			
956	-62.497	-90.182	187.100			
957	-62.497	-90.182	178.400			
958	-62.497	-90.182	169.000			
959	-62.497	-90.182	160.300			
960	-62.497	-90.182	150.900			
961	-62.497	-90.182	140.000			
962	-62.497	-90.182	130.600			
963	-62.497	-90.182	121.900			
964	-62.497	-90.182	112.500			
965	-62.497	-90.182	103.800			
966	-62.497	-90.182	94.400			
967	-62.497	-90.182	83.500			
968	-62.497	-90.182	74.100			
969	-62.497	-90.182	65.400			
970	-62.497	-90.182	56.000			
971	-62.497	-90.182	47.300			
972	-62.497	-90.182	37.900			
973	-42.339	-89.590	196.500			
974	-42.339	-89.590	187.100			
975	-42.339	-89.590	178.400			
976	-42.339	-89.590	169.000			
977	-42.339	-89.590	160.300			
978	-42.339	-89.590	150.900			
979	-42.339	-89.590	140.000			
980	-42.339	-89.590	130.600			
981	-42.339	-89.590	121.900			
982	-42.339	-89.590	112.500			
983	-42.339	-89.590	103.800			
984	-42.339	-89.590	94.400			
985	-42.339	-89.590	83.500			
986	-42.339	-89.590	74.100			
987	-42.339	-89.590	65.400			
988	-42.339	-89.590	56.000			
989	-42.339	-89.590	47.300			
990	-42.339	-89.590	37.900			
991	-53.179	-67.797	196.500			
992	-53.179	-67.797	187.100			
993	-53.179	-67.797	178.400			
994	-53.179	-67.797	169.000			
995	-53.179	-67.797	160.300			
996	-53.179	-67.797	150.900			
997	-53.179	-67.797	140.000			
998	-53.179	-67.797	130.600			
999	-53.179	-67.797	121.900			
1000	-53.179	-67.797	112.500			
1001	-53.179	-67.797	103.800			
1002	-53.179	-67.797	94.400			
1003	-53.179	-67.797	83.500			
1004	-53.179	-67.797	74.100			
1005	-53.179	-67.797	65.400			
1006	-53.179	-67.797	56.000			
1007	-53.179	-67.797	47.300			
1008	-53.179	-67.797	37.900			
1009	-30.486	-109.178	196.500			
1010	-30.486	-109.178	187.100			
1011	-30.486	-109.178	178.400			
1012	-30.486	-109.178	169.000			
1013	-30.486	-109.178	160.300			
1014	-30.486	-109.178	150.900			
1015	-30.486	-109.178	140.000			
1016	-30.486	-109.178	130.600			
1017	-30.486	-109.178	121.900			
1018	-30.486	-109.178	112.500			
1019	-30.486	-109.178	103.800			
1020	-30.486	-109.178	94.400			
1021	-30.486	-109.178	83.500			
1022	-30.486	-109.178	74.100			
1023	-30.486	-109.178	65.400			
1024	-30.486	-109.178	56.000			
1025	-30.486	-109.178	47.300			
1026	-30.486	-109.178	37.900			
1027	-31.071	-69.631	196.500			
1028	-31.071	-69.631	187.100			
1029	-31.071	-69.631	178.400			
1030	-31.071	-69.631	169.000			
1031	-31.071	-69.631	160.300			
1032	-31.071	-69.631	150.900			
1033	-31.071	-69.631	140.000			
1034	-31.071	-69.631	130.600			
1035	-31.071	-69.631	121.900			
1036	-31.071	-69.631	112.500			
1037	-31.071	-69.631	103.800			
1038	-31.071	-69.631	94.400			
1039	-31.071	-69.631	83.500			
1040	-31.071	-69.631	74.100			
1041	-31.071	-69.631	65.400			
1042	-31.071	-69.631	56.000			
1043	-31.071	-69.631	47.300			
1044	-31.071	-69.631	37.900			
1045	-18.474	-88.308	196.500			
1046	-18.474	-88.308	187.100			
1047	-18.474	-88.308	178.400			
1048	-18.474	-88.308	169.000			
1049	-18.474	-88.308	160.300			
1050	-18.474	-88.308	150.900			
1051	-18.474	-88.308	140.000			
1052	-18.474	-88.308	130.600			
1053	-18.474	-88.308	121.900			
1054	-18.474	-88.308	112.500			
1055	-18.474	-88.308	103.800			
1056	-18.474	-88.308	94.400			
1057	-18.474	-88.308	83.500			
1058	-18.474	-88.308	74.100			
1059	-18.474	-88.308	65.400			
1060	-18.474	-88.308	56.000			
1061	-18.474	-88.308	47.300			
1062	-18.474	-88.308	37.900			
1063	-8.079	-66.639	196.500			
1064	-8.079	-66.639	187.100			
1065	-8.079	-66.639	178.400			
1066	-8.079	-66.639	169.000			
1067	-8.079	-66.639	160.300			
1068	-8.079	-66.639	150.900			
1069	-8.079	-66.639	140.000			
1070	-8.079	-66.639	130.600			
1071	-8.079	-66.639	121.900			
1072	-8.079	-66.639	112.500			
1073	-8.079	-66.639	103.800			
1074	-8.079	-66.639	94.400			
1075	-8.079	-66.639	83.500			
1076	-8.079	-66.639	74.100			
1077	-8.079	-66.639	65.400			
1078	-8.079	-66.639	56.000			
1079	-8.079	-66.639	47.300			
1080	-8.079	-66.639	37.900			
1081	-9.236	-107.494	196.500			
1082	-9.236	-107.494	187.100			
1083	-9.236	-107.494	178.400			
1084	-9.236	-107.494	169.000			
1085	-9.236	-107.494	160.300			
1086	-9.236	-107.494	150.900			
1087	-9.236	-107.494	140.000			
1088	-9.236	-107.494	130.600			
1089	-9.236	-107.494	121.900			
1090	-9.236	-107.494	112.500			
1091	-9.236	-107.494	103.800			
1092	-9.236	-107.494	94.400			
1093	-9.236	-107.494	83.500			
1094	-9.236	-107.494	74.100			
1095	-9.236	-107.494	65.400			
1096	-9.236	-107.494	56.000			
1097	-9.236	-107.494	47.300			
1098	-9.236	-107.494	37.900			
1099	0.870	-89.983	196.500			
1100	0.870	-89.983	187.100			
1101	0.870	-89.983	178.400			
1102	0.870	-89.983	169.000			
1103	0.870	-89.983	160.300			
1104	0.870	-89.983	150.900			
1105	0.870	-89.983	140.000			
1106	0.870	-89.983	130.600			
1107	0.870	-89.983	121.900			
1108	0.870	-89.983	112.500			
1109	0.870	-89.983	103.800			
1110	0.870	-89.983	94.400			
1111	0.870	-89.983	83.500			
1112	0.870	-89.983	74.100			
1113	0.870	-89.983	65.400			
1114	0.870	-89.983	56.000			
1115	0.870	-89.983	47.300			
1116	0.870	-89.983	37.900			
1117	1.743	-47.683	196.500			
1118	1.743	-47.683	187.100			
1119	1.743	-47.683	178.400			
1120	1.743	-47.683	169.000			
1121	1.743	-47.683	160.300			
1122	1.743	-47.683	150.900			
1123	1.743	-47.683	140.000			
1124	1.743	-47.683	130.600			
1125	1.743	-47.683	121.900			
1126	1.743	-47.683	112.500			
1127	1.743	-47.683	103.800			
1128	1.743	-47.683	94.400			
1129	1.743	-47.683	83.500			
1130	1.743	-47.683	74.100			
1131	1.743	-47.683	65.400			
1132	1.743	-47.683	56.000			
1133	1.743	-47.683	47.300			
1134	1.743	-47.683	37.900			
1135	13.228	-66.448	196.500			
1136	13.228	-66.448	187.100			
1137	13.228	-66.448	178.400			
1138	13.228	-66.448	169.000			
1139	13.228	-66.448	160.300			
1140	13.228	-66.448	150.900			
1141	13.228	-66.448	140.000			
1142	13.228	-66.448	130.600			
1143	13.228	-66.448	121.900			
1144	13.228	-66.448	112.500			
1145	13.228	-66.448	103.800			
1146	13.228	-66.448	94.400			
1147	13.228	-66.448	83.500			
1148	13.228	-66.448	74.100			
1149	13.228	-66.448	65.400			
1150	13.228	-66.448	56.000			
1151	13.228	-66.448	47.300			
1152	13.228	-66.448	37.900			
1153	-19.203	-129.979	196.500			
1154	-19.203	-129.979	187.100			
1155	-19.203	-129.979	178.400			
1156	-19.203	-129.979	169.000			
1157	-19.203	-129.979	160.300			
1158	-19.203	-129.979	150.900			
1159	-19.203	-129.979	140.000			
1160	-19.203	-129.979	130.600			
1161	-19.203	-129.979	121.900			
1162	-19.203	-129.979	112.500			
1163	-19.203	-129.979	103.800			
1164	-19.203	-129.979	94.400			
1165	-19.203	-129.979	83.500			
1166	-19.203	-129.979	74.100			
1167	-19.203	-129.979	65.400			
1168	-19.203	-129.979	56.000			
1169	-19.203	-129.979	47.300			
1170	-19.203	-129.979	37.900			
1171	3.765	-130.185	196.500			
1172	3.765	-130.185	187.100			
1173	3.765	-130.185	178.400			
1174	3.765	-130.185	169.000			
1175	3.765	-130.185	160.300			
1176	3.765	-130.185	150.900			
1177	3.765	-130.185	140.000			
1178	3.765	-130.185	130.600			
1179	3.765	-130.185	121.900			
1180	3.765	-130.185	112.500			
1181	3.765	-130.185	103.800			
1182	3.765	-130.185	94.400			
1183	3.765	-130.185	83.500			
1184	3.765	-130.185	74.100			
1185	3.765	-130.185	65.400			
1186	3.765	-130.185	56.000			
1187	3.765	-130.185	47.300			
1188	3.765	-130.185	37.900			
1189	12.791	-108.075	196.500			
1190	12.791	-108.075	187.100			
1191	12.791	-108.075	178.400			
1192	12.791	-108.075	169.000			
1193	12.791	-108.075	160.300			
1194	12.791	-108.075	150.900			
1195	12.791	-108.075	140.000			
1196	12.791	-108.075	130.600			
1197	12.791	-108.075	121.900			
1198	12.791	-108.075	112.500			
1199	12.791	-108.075	103.800			
1200	12.791	-108.075	94.400			
1201	12.791	-108.075	83.500			
1202	12.791	-108.075	74.100			
1203	12.791	-108.075	65.400			
1204	12.791	-108.075	56.000			
1205	12.791	-108.075	47.300			
1206	12.791	-108.075	37.900			
1207	23.770	-87.769	196.500			
1208	23.770	-87.769	187.100			
1209	23.770	-87.769	178.400			
1210	23.770	-87.769	169.000			
1211	23.770	-87.769	160.300			
1212	23.770	-87.769	150.900			
1213	23.770	-87.769	140.000			
1214	23.770	-87.769	130.600			
1215	23.770	-87.769	121.900			
1216	23.770	-87.769	112.500			
1217	23.770	-87.769	103.800			
1218	23.770	-87.769	94.400			
1219	23.770	-87.769	83.500			
1220	23.770	-87.769	74.100			
1221	23.770	-87.769	65.400			
1222	23.770	-87.769	56.000			
1223	23.770	-87.769	47.300			
1224	23.770	-87.769	37.900			
1225	26.029	-130.920	196.500			
1226	26.029	-130.920	187.100			
1227	26.029	-130.920	178.400			
1228	26.029	-130.920	169.000			
1229	26.029	-130.920	160.300			
1230	26.029	-130.920	150.900			
1231	26.029	-130.920	140.000			
1232	26.029	-130.920	130.600			
1233	26.029	-130.920	121.900			
1234	26.029	-130.920	112.500			
1235	26.029	-130.920	103.800			
1236	26.029	-130.920	94.400			
1237	26.029	-130.920	83.500			
1238	26.029	-130.920	74.100			
1239	26.029	-130.920	65.400			
1240	26.029	-130.920	56.000			
1241	26.029	-130.920	47.300			
1242	26.029	-130.920	37.900			
1243	32.737	-109.261	196.500			
1244	32.737	-109.261	187.100			
1245	32.737	-109.261	178.400			
1246	32.737	-109.261	169.000			
1247	32.737	-109.261	160.300			
1248	32.737	-109.261	150.900			
1249	32.737	-109.261	140.000			
1250	32.737	-109.261	130.600			
1251	32.737	-109.261	121.900			
1252	32.737	-109.261	112.500			
1253	32.737	-109.261	103.800			
1254	32.737	-109.261	94.400			
1255	32.737	-109.261	83.500			
1256	32.737	-109.261	74.100			
1257	32.737	-109.261	65.400			
1258	32.737	-109.261	56.000			
1259	32.737	-109.261	47.300			
1260	32.737	-109.261	37.900			
1261	45.829	-132.720	196.500			
1262	45.829	-132.720	187.100			
1263	45.829	-132.720	178.400			
1264	45.829	-132.720	169.000			
1265	45.829	-132.720	160.300			
1266	45.829	-132.720	150.900			
1267	45.829	-132.720	140.000			
1268	45.829	-132.720	130.600			
1269	45.829	-132.720	121.900			
1270	45.829	-132.720	112.500			
1271	45.829	-132.720	103.800			
1272	45.829	-132.720	94.400			
1273	45.829	-132.720	83.500			
1274	45.829	-132.720	74.100			
1275	45.829	-132.720	65.400			
1276	45.829	-132.720	56.000			
1277	45.829	-132.720	47.300			
1278	45.829	-132.720	37.900			
1279	58.681	-109.518	196.500			
1280	58.681	-109.518	187.100			
1281	58.681	-109.518	178.400			
1282	58.681	-109.518	169.000			
1283	58.681	-109.518	160.300			
1284	58.681	-109.518	150.900			
1285	58.681	-109.518	140.000			
1286	58.681	-109.518	130.600			
1287	58.681	-109.518	121.900			
1288	58.681	-109.518	112.500			
1289	58.681	-109.518	103.800			
1290	58.681	-109.518	94.400			
1291	58.681	-109.518	83.500			
1292	58.681	-109.518	74.100			
1293	58.681	-109.518	65.400			
1294	58.681	-109.518	56.000			
1295	58.681	-109.518	47.300			
1296	58.681	-109.518	37.900			
1297	101.718	14.248	196.500			
1298	101.718	14.248	187.100			
1299	101.718	14.248	178.400			
1300	101.718	14.248	169.000			
1301	101.718	14.248	160.300			
1302	101.718	14.248	150.900			
1303	101.718	14.248	140.000			
1304	101.718	14.248	130.600			
1305	101.718	14.248	121.900			
1306	101.718	14.248	112.500			
1307	101.718	14.248	103.800			
1308	101.718	14.248	94.400			
1309	101.718	14.248	83.500			
1310	101.718	14.248	74.100			
1311	101.718	14.248	65.400			
1312	101.718	14.248	56.000			
1313	101.718	14.248	47.300			
1314	101.718	14.248	37.900			
1315	79.817	13.858	196.500			
1316	79.817	13.858	187.100			
1317	79.817	13.858	178.400			
1318	79.817	13.858	169.000			
1319	79.817	13.858	160.300			
1320	79.817	13.858	150.900			
1321	79.817	13.858	140.000			
1322	79.817	13.858	130.600			
1323	79.817	13.858	121.900			
1324	79.817	13.858	112.500			
1325	79.817	13.858	103.800			
1326	79.817	13.858	94.400			
1327	79.817	13.858	83.500			
1328	79.817	13.858	74.100			
1329	79.817	13.858	65.400			
1330	79.817	13.858	56.000			
1331	79.817	13.858	47.300			
1332	79.817	13.858	37.900			
1333	57.644	13.818	196.500			
1334	57.644	13.818	187.100			
1335	57.644	13.818	178.400			
1336	57.644	13.818	169.000			
1337	57.644	13.818	160.300			
1338	57.644	13.818	150.900			
1339	57.644	13.818	140.000			
1340	57.644	13.818	130.600			
1341	57.644	13.818	121.900			
1342	57.644	13.818	112.500			
1343	57.644	13.818	103.800			
1344	57.644	13.818	94.400			
1345	57.644	13.818	83.500			
1346	57.644	13.818	74.100			
1347	57.644	13.818	65.400			
1348	57.644	13.818	56.000			
1349	57.644	13.818	47.300			
1350	57.644	13.818	37.900			
1351	35.609	14.831	196.500			
1352	35.609	14.831	187.100			
1353	35.609	14.831	178.400			
1354	35.609	14.831	169.000			
1355	35.609	14.831	160.300			
1356	35.609	14.831	150.900			
1357	35.609	14.831	140.000			
1358	35.609	14.831	130.600			
1359	35.609	14.831	121.900			
1360	35.609	14.831	112.500			
1361	35.609	14.831	103.800			
1362	35.609	14.831	94.400			
1363	35.609	14.831	83.500			
1364	35.609	14.831	74.100			
1365	35.609	14.831	65.400			
1366	35.609	14.831	56.000			
1367	35.609	14.831	47.300			
1368	35.609	14.831	37.900			
1369	110.460	37.035	196.500			
1370	110.460	37.035	187.100			
1371	110.460	37.035	178.400			
1372	110.460	37.035	169.000			
1373	110.460	37.035	160.300			
1374	110.460	37.035	150.900			
1375	110.460	37.035	140.000			
1376	110.460	37.035	130.600			
1377	110.460	37.035	121.900			
1378	110.460	37.035	112.500			
1379	110.460	37.035	103.800			
1380	110.460	37.035	94.400			
1381	110.460	37.035	83.500			
1382	110.460	37.035	74.100			
1383	110.460	37.035	65.400			
1384	110.460	37.035	56.000			
1385	110.460	37.035	47.300			
1386	110.460	37.035	37.900			
1387	87.778	36.035	196.500			
1388	87.778	36.035	187.100			
1389	87.778	36.035	178.400			
1390	87.778	36.035	169.000			
1391	87.778	36.035	160.300			
1392	87.778	36.035	150.900			
1393	87.778	36.035	140.000			
1394	87.778	36.035	130.600			
1395	87.778	36.035	121.900			
1396	87.778	36.035	112.500			
1397	87.778	36.035	103.800			
1398	87.778	36.035	94.400			
1399	87.778	36.035	83.500			
1400	87.778	36.035	74.100			
1401	87.778	36.035	65.400			
1402	87.778	36.035	56.000			
1403	87.778	36.035	47.300			
1404	87.778	36.035	37.900			
1405	68.029	36.630	196.500			
1406	68.029	36.630	187.100			
1407	68.029	36.630	178.400			
1408	68.029	36.630	169.000			
1409	68.029	36.630	160.300			
1410	68.029	36.630	150.900			
1411	68.029	36.630	140.000			
1412	68.029	36.630	130.600			
1413	68.029	36.630	121.900			
1414	68.029	36.630	112.500			
1415	68.029	36.630	103.800			
1416	68.029	36.630	94.400			
1417	68.029	36.630	83.500			
1418	68.029	36.630	74.100			
1419	68.029	36.630	65.400			
1420	68.029	36.630	56.000			
1421	68.029	36.630	47.300			
1422	68.029	36.630	37.900			
1423	46.897	33.972	196.500			
1424	46.897	33.972	187.100			
1425	46.897	33.972	178.400			
1426	46.897	33.972	169.000			
1427	46.897	33.972	160.300			
1428	46.897	33.972	150.900			
1429	46.897	33.972	140.000			
1430	46.897	33.972	130.600			
1431	46.897	33.972	121.900			
1432	46.897	33.972	112.500			
1433	46.897	33.972	103.800			
1434	46.897	33.972	94.400			
1435	46.897	33.972	83.500			
1436	46.897	33.972	74.100			
1437	46.897	33.972	65.400			
1438	46.897	33.972	56.000			
1439	46.897	33.972	47.300			
1440	46.897	33.972	37.900			
1441	101.305	58.726	196.500			
1442	101.305	58.726	187.100			
1443	101.305	58.726	178.400			
1444	101.305	58.726	169.000			
1445	101.305	58.726	160.300			
1446	101.305	58.726	150.900			
1447	101.305	58.726	140.000			
1448	101.305	58.726	130.600			
1449	101.305	58.726	121.900			
1450	101.305	58.726	112.500			
1451	101.305	58.726	103.800			
1452	101.305	58.726	94.400			
1453	101.305	58.726	83.500			
1454	101.305	58.726	74.100			
1455	101.305	58.726	65.400			
1456	101.305	58.726	56.000			
1457	101.305	58.726	47.300			
1458	101.305	58.726	37.900			
1459	79.634	55.863	196.500			
1460	79.634	55.863	187.100			
1461	79.634	55.863	178.400			
1462	79.634	55.863	169.000			
1463	79.634	55.863	160.300			
1464	79.634	55.863	150.900			
1465	79.634	55.863	140.000			
1466	79.634	55.863	130.600			
1467	79.634	55.863	121.900			
1468	79.634	55.863	112.500			
1469	79.634	55.863	103.800			
1470	79.634	55.863	94.400			
1471	79.634	55.863	83.500			
1472	79.634	55.863	74.100			
1473	79.634	55.863	65.400			
1474	79.634	55.863	56.000			
1475	79.634	55.863	47.300			
1476	79.634	55.863	37.900			
1477	56.709	55.185	196.500			
1478	56.709	55.185	187.100			
1479	56.709	55.185	178.400			
1480	56.709	55.185	169.000			
1481	56.709	55.185	160.300			
1482	56.709	55.185	150.900			
1483	56.709	55.185	140.000			
1484	56.709	55.185	130.600			
1485	56.709	55.185	121.900			
1486	56.709	55.185	112.500			
1487	56.709	55.185	103.800			
1488	56.709	55.185	94.400			
1489	56.709	55.185	83.500			
1490	56.709	55.185	74.100			
1491	56.709	55.185	65.400			
1492	56.709	55.185	56.000			
1493	56.709	55.185	47.300			
1494	56.709	55.185	37.900			
1495	35.270	57.108	196.500			
1496	35.270	57.108	187.100			
1497	35.270	57.108	178.400			
1498	35.270	57.108	169.000			
1499	35.270	57.108	160.300			
1500	35.270	57.108	150.900			
1501	35.270	57.108	140.000			
1502	35.270	57.108	130.600			
1503	35.270	57.108	121.900			
1504	35.270	57.108	112.500			
1505	35.270	57.108	103.800			
1506	35.270	57.108	94.400			
1507	35.270	57.108	83.500			
1508	35.270	57.108	74.100			
1509	35.270	57.108	65.400			
1510	35.270	57.108	56.000			
1511	35.270	57.108	47.300			
1512	35.270	57.108	37.900			
1513	87.929	77.201	196.500			
1514	87.929	77.201	187.100			
1515	87.929	77.201	178.400			
1516	87.929	77.201	169.000			
1517	87.929	77.201	160.300			
1518	87.929	77.201	150.900			
1519	87.929	77.201	140.000			
1520	87.929	77.201	130.600			
1521	87.929	77.201	121.900			
1522	87.929	77.201	112.500			
1523	87.929	77.201	103.800			
1524	87.929	77.201	94.400			
1525	87.929	77.201	83.500			
1526	87.929	77.201	74.100			
1527	87.929	77.201	65.400			
1528	87.929	77.201	56.000			
1529	87.929	77.201	47.300			
1530	87.929	77.201	37.900			
1531	67.890	76.097	196.500			
1532	67.890	76.097	187.100			
1533	67.890	76.097	178.400			
1534	67.890	76.097	169.000			
1535	67.890	76.097	160.300			
1536	67.890	76.097	150.900			
1537	67.890	76.097	140.000			
1538	67.890	76.097	130.600			
1539	67.890	76.097	121.900			
1540	67.890	76.097	112.500			
1541	67.890	76.097	103.800			
1542	67.890	76.097	94.400			
1543	67.890	76.097	83.500			
1544	67.890	76.097	74.100			
1545	67.890	76.097	65.400			
1546	67.890	76.097	56.000			
1547	67.890	76.097	47.300			
1548	67.890	76.097	37.900			
1549	46.613	77.366	196.500			
1550	46.613	77.366	187.100			
1551	46.613	77.366	178.400			
1552	46.613	77.366	169.000			
1553	46.613	77.366	160.300			
1554	46.613	77.366	150.900			
1555	46.613	77.366	140.000			
1556	46.613	77.366	130.600			
1557	46.613	77.366	121.900			
1558	46.613	77.366	112.500			
1559	46.613	77.366	103.800			
1560	46.613	77.366	94.400			
1561	46.613	77.366	83.500			
1562	46.613	77.366	74.100			
1563	46.613	77.366	65.400			
1564	46.613	77.366	56.000			
1565	46.613	77.366	47.300			
1566	46.613	77.366	37.900			
1567	25.193	77.582	196.500			
1568	25.193	77.582	187.100			
1569	25.193	77.582	178.400			
1570	25.193	77.582	169.000			
1571	25.193	77.582	160.300			
1572	25.193	77.582	150.900			
1573	25.193	77.582	140.000			
1574	25.193	77.582	130.600			
1575	25.193	77.582	121.900			
1576	25.193	77.582	112.500			
1577	25.193	77.582	103.800			
1578	25.193	77.582	94.400			
1579	25.193	77.582	83.500			
1580	25.193	77.582	74.100			
1581	25.193	77.582	65.400			
1582	25.193	77.582	56.000			
1583	25.193	77.582	47.300			
1584	25.193	77.582	37.900			
1585	78.238	97.530	196.500			
1586	78.238	97.530	187.100			
1587	78.238	97.530	178.400			
1588	78.238	97.530	169.000			
1589	78.238	97.530	160.300			
1590	78.238	97.530	150.900			
1591	78.238	97.530	140.000			
1592	78.238	97.530	130.600			
1593	78.238	97.530	121.900			
1594	78.238	97.530	112.500			
1595	78.238	97.530	103.800			
1596	78.238	97.530	94.400			
1597	78.238	97.530	83.500			
1598	78.238	97.530	74.100			
1599	78.238	97.530	65.400			
1600	78.238	97.530	56.000			
1601	78.238	97.530	47.300			
1602	78.238	97.530	37.900			
1603	56.608	99.464	196.500			
1604	56.608	99.464	187.100			
1605	56.608	99.464	178.400			
1606	56.608	99.464	169.000			
1607	56.608	99.464	160.300			
1608	56.608	99.464	150.900			
1609	56.608	99.464	140.000			
1610	56.608	99.464	130.600			
1611	56.608	99.464	121.900			
1612	56.608	99.464	112.500			
1613	56.608	99.464	103.800			
1614	56.608	99.464	94.400			
1615	56.608	99.464	83.500			
1616	56.608	99.464	74.100			
1617	56.608	99.464	65.400			
1618	56.608	99.464	56.000			
1619	56.608	99.464	47.300			
1620	56.608	99.464	37.900			
1621	35.701	99.215	196.500			
1622	35.701	99.215	187.100			
1623	35.701	99.215	178.400			
1624	35.701	99.215	169.000			
1625	35.701	99.215	160.300			
1626	35.701	99.215	150.900			
1627	35.701	99.215	140.000			
1628	35.701	99.215	130.600			
1629	35.701	99.215	121.900			
1630	35.701	99.215	112.500			
1631	35.701	99.215	103.800			
1632	35.701	99.215	94.400			
1633	35.701	99.215	83.500			
1634	35.701	99.215	74.100			
1635	35.701	99.215	65.400			
1636	35.701	99.215	56.000			
1637	35.701	99.215	47.300			
1638	35.701	99.215	37.900			
1639	13.554	98.285	196.500			
1640	13.554	98.285	187.100			
1641	13.554	98.285	178.400			
1642	13.554	98.285	169.000			
1643	13.554	98.285	160.300			
1644	13.554	98.285	150.900			
1645	13.554	98.285	140.000			
1646	13.554	98.285	130.600			
1647	13.554	98.285	121.900			
1648	13.554	98.285	112.500			
1649	13.554	98.285	103.800			
1650	13.554	98.285	94.400			
1651	13.554	98.285	83.500			
1652	13.554	98.285	74.100			
1653	13.554	98.285	65.400			
1654	13.554	98.285	56.000			
1655	13.554	98.285	47.300			
1656	13.554	98.285	37.900			
1657	71.129	116.880	196.500			
1658	71.129	116.880	187.100			
1659	71.129	116.880	178.400			
1660	71.129	116.880	169.000			
1661	71.129	116.880	160.300			
1662	71.129	116.880	150.900			
1663	71.129	116.880	140.000			
1664	71.129	116.880	130.600			
1665	71.129	116.880	121.900			
1666	71.129	116.880	112.500			
1667	71.129	116.880	103.800			
1668	71.129	116.880	94.400			
1669	71.129	116.880	83.500			
1670	71.129	116.880	74.100			
1671	71.129	116.880	65.400			
1672	71.129	116.880	56.000			
1673	71.129	116.880	47.300			
1674	71.129	116.880	37.900			
1675	45.566	118.794	196.500			
1676	45.566	118.794	187.100			
1677	45.566	118.794	178.400			
1678	45.566	118.794	169.000			
1679	45.566	118.794	160.300			
1680	45.566	118.794	150.900			
1681	45.566	118.794	140.000			
1682	45.566	118.794	130.600			
1683	45.566	118.794	121.900			
1684	45.566	118.794	112.500			
1685	45.566	118.794	103.800			
1686	45.566	118.794	94.400			
1687	45.566	118.794	83.500			
1688	45.566	118.794	74.100			
1689	45.566	118.794	65.400			
1690	45.566	118.794	56.000			
1691	45.566	118.794	47.300			
1692	45.566	118.794	37.900			
1693	23.596	117.310	196.500			
1694	23.596	117.310	187.100			
1695	23.596	117.310	178.400			
1696	23.596	117.310	169.000			
1697	23.596	117.310	160.300			
1698	23.596	117.310	150.900			
1699	23.596	117.310	140.000			
1700	23.596	117.310	130.600			
1701	23.596	117.310	121.900			
1702	23.596	117.310	112.500			
1703	23.596	117.310	103.800			
1704	23.596	117.310	94.400			
1705	23.596	117.310	83.500			
1706	23.596	117.310	74.100			
1707	23.596	117.310	65.400			
1708	23.596	117.310	56.000			
1709	23.596	117.310	47.300			
1710	23.596	117.310	37.900			
1711	2.910	119.964	196.500			
1712	2.910	119.964	187.100			
1713	2.910	119.964	178.400			
1714	2.910	119.964	169.000			
1715	2.910	119.964	160.300			
1716	2.910	119.964	150.900			
1717	2.910	119.964	140.000			
1718	2.910	119.964	130.600			
1719	2.910	119.964	121.900			
1720	2.910	119.964	112.500			
1721	2.910	119.964	103.800			
1722	2.910	119.964	94.400			
1723	2.910	119.964	83.500			
1724	2.910	119.964	74.100			
1725	2.910	119.964	65.400			
1726	2.910	119.964	56.000			
1727	2.910	119.964	47.300			
1728	2.910	119.964	37.900			
1729	25.703	-6.291	196.500			
1730	25.703	-6.291	187.100			
1731	25.703	-6.291	178.400			
1732	25.703	-6.291	169.000			
1733	25.703	-6.291	160.300			
1734	25.703	-6.291	150.900			
1735	25.703	-6.291	140.000			
1736	25.703	-6.291	130.600			
1737	25.703	-6.291	121.900			
1738	25.703	-6.291	112.500			
1739	25.703	-6.291	103.800			
1740	25.703	-6.291	94.400			
1741	25.703	-6.291	83.500			
1742	25.703	-6.291	74.100			
1743	25.703	-6.291	65.400			
1744	25.703	-6.291	56.000			
1745	25.703	-6.291	47.300			
1746	25.703	-6.291	37.900			
1747	46.330	-3.831	196.500			
1748	46.330	-3.831	187.100			
1749	46.330	-3.831	178.400			
1750	46.330	-3.831	169.000			
1751	46.330	-3.831	160.300			
1752	46.330	-3.831	150.900			
1753	46.330	-3.831	140.000			
1754	46.330	-3.831	130.600			
1755	46.330	-3.831	121.900			
1756	46.330	-3.831	112.500			
1757	46.330	-3.831	103.800			
1758	46.330	-3.831	94.400			
1759	46.330	-3.831	83.500			
1760	46.330	-3.831	74.100			
1761	46.330	-3.831	65.400			
1762	46.330	-3.831	56.000			
1763	46.330	-3.831	47.300			
1764	46.330	-3.831	37.900			
1765	65.750	-4.812	196.500			
1766	65.750	-4.812	187.100			
1767	65.750	-4.812	178.400			
1768	65.750	-4.812	169.000			
1769	65.750	-4.812	160.300			
1770	65.750	-4.812	150.900			
1771	65.750	-4.812	140.000			
1772	65.750	-4.812	130.600			
1773	65.750	-4.812	121.900			
1774	65.750	-4.812	112.500			
1775	65.750	-4.812	103.800			
1776	65.750	-4.812	94.400			
1777	65.750	-4.812	83.500			
1778	65.750	-4.812	74.100			
1779	65.750	-4.812	65.400			
1780	65.750	-4.812	56.000			
1781	65.750	-4.812	47.300			
1782	65.750	-4.812	37.900			
1783	91.118	-6.996	196.500			
1784	91.118	-6.996	187.100			
1785	91.118	-6.996	178.400			
1786	91.118	-6.996	169.000			
1787	91.118	-6.996	160.300			
1788	91.118	-6.996	150.900			
1789	91.118	-6.996	140.000			
1790	91.118	-6.996	130.600			
1791	91.118	-6.996	121.900			
1792	91.118	-6.996	112.500			
1793	91.118	-6.996	103.800			
1794	91.118	-6.996	94.400			
1795	91.118	-6.996	83.500			
1796	91.118	-6.996	74.100			
1797	91.118	-6.996	65.400			
1798	91.118	-6.996	56.000			
1799	91.118	-6.996	47.300			
1800	91.118	-6.996	37.900			
1801	32.826	-25.472	196.500			
1802	32.826	-25.472	187.100			
1803	32.826	-25.472	178.400			
1804	32.826	-25.472	169.000			
1805	32.826	-25.472	160.300			
1806	32.826	-25.472	150.900			
1807	32.826	-25.472	140.000			
1808	32.826	-25.472	130.600			
1809	32.826	-25.472	121.900			
1810	32.826	-25.472	112.500			
1811	32.826	-25.472	103.800			
1812	32.826	-25.472	94.400			
1813	32.826	-25.472	83.500			
1814	32.826	-25.472	74.100			
1815	32.826	-25.472	65.400			
1816	32.826	-25.472	56.000			
1817	32.826	-25.472	47.300			
1818	32.826	-25.472	37.900			
1819	55.452	-27.813	196.500			
1820	55.452	-27.813	187.100			
1821	55.452	-27.813	178.400			
1822	55.452	-27.813	169.000			
1823	55.452	-27.813	160.300			
1824	55.452	-27.813	150.900			
1825	55.452	-27.813	140.000			
1826	55.452	-27.813	130.600			
1827	55.452	-27.813	121.900			
1828	55.452	-27.813	112.500			
1829	55.452	-27.813	103.800			
1830	55.452	-27.813	94.400			
1831	55.452	-27.813	83.500			
1832	55.452	-27.813	74.100			
1833	55.452	-27.813	65.400			
1834	55.452	-27.813	56.000			
1835	55.452	-27.813	47.300			
1836	55.452	-27.813	37.900			
1837	76.944	-25.929	196.500			
1838	76.944	-25.929	187.100			
1839	76.944	-25.929	178.400			
1840	76.944	-25.929	169.000			
1841	76.944	-25.929	160.300			
1842	76.944	-25.929	150.900			
1843	76.944	-25.929	140.000			
1844	76.944	-25.929	130.600			
1845	76.944	-25.929	121.900			
1846	76.944	-25.929	112.500			
1847	76.944	-25.929	103.800			
1848	76.944	-25.929	94.400			
1849	76.944	-25.929	83.500			
1850	76.944	-25.929	74.100			
1851	76.944	-25.929	65.400			
1852	76.944	-25.929	56.000			
1853	76.944	-25.929	47.300			
1854	76.944	-25.929	37.900			
1855	101.804	-28.399	196.500			
1856	101.804	-28.399	187.100			
1857	101.804	-28.399	178.400			
1858	101.804	-28.399	169.000			
1859	101.804	-28.399	160.300			
1860	101.804	-28.399	150.900			
1861	101.804	-28.399	140.000			
1862	101.804	-28.399	130.600			
1863	101.804	-28.399	121.900			
1864	101.804	-28.399	112.500			
1865	101.804	-28.399	103.800			
1866	101.804	-28.399	94.400			
1867	101.804	-28.399	83.500			
1868	101.804	-28.399	74.100			
1869	101.804	-28.399	65.400			
1870	101.804	-28.399	56.000			
1871	101.804	-28.399	47.300			
1872	101.804	-28.399	37.900			
1873	22.868	-49.300	196.500			
1874	22.868	-49.300	187.100			
1875	22.868	-49.300	178.400			
1876	22.868	-49.300	169.000			
1877	22.868	-49.300	160.300			
1878	22.868	-49.300	150.900			
1879	22.868	-49.300	140.000			
1880	22.868	-49.300	130.600			
1881	22.868	-49.300	121.900			
1882	22.868	-49.300	112.500			
1883	22.868	-49.300	103.800			
1884	22.868	-49.300	94.400			
1885	22.868	-49.300	83.500			
1886	22.868	-49.300	74.100			
1887	22.868	-49.300	65.400			
1888	22.868	-49.300	56.000			
1889	22.868	-49.300	47.300			
1890	22.868	-49.300	37.900			
1891	45.058	-49.179	196.500			
1892	45.058	-49.179	187.100			
1893	45.058	-49.179	178.400			
1894	45.058	-49.179	169.000			
1895	45.058	-49.179	160.300			
1896	45.058	-49.179	150.900			
1897	45.058	-49.179	140.000			
1898	45.058	-49.179	130.600			
1899	45.058	-49.179	121.900			
1900	45.058	-49.179	112.500			
1901	45.058	-49.179	103.800			
1902	45.058	-49.179	94.400			
1903	45.058	-49.179	83.500			
1904	45.058	-49.179	74.100			
1905	45.058	-49.179	65.400			
1906	45.058	-49.179	56.000			
1907	45.058	-49.179	47.300			
1908	45.058	-49.179	37.900			
1909	68.110	-49.435	196.500			
1910	68.110	-49.435	187.100			
1911	68.110	-49.435	178.400			
1912	68.110	-49.435	169.000			
1913	68.110	-49.435	160.300			
1914	68.110	-49.435	150.900			
1915	68.110	-49.435	140.000			
1916	68.110	-49.435	130.600			
1917	68.110	-49.435	121.900			
1918	68.110	-49.435	112.500			
1919	68.110	-49.435	103.800			
1920	68.110	-49.435	94.400			
1921	68.110	-49.435	83.500			
1922	68.110	-49.435	74.100			
1923	68.110	-49.435	65.400			
1924	68.110	-49.435	56.000			
1925	68.110	-49.435	47.300			
1926	68.110	-49.435	37.900			
1927	89.686	-45.951	196.500			
1928	89.686	-45.951	187.100			
1929	89.686	-45.951	178.400			
1930	89.686	-45.951	169.000			
1931	89.686	-45.951	160.300			
1932	89.686	-45.951	150.900			
1933	89.686	-45.951	140.000			
1934	89.686	-45.951	130.600			
1935	89.686	-45.951	121.900			
1936	89.686	-45.951	112.500			
1937	89.686	-45.951	103.800			
1938	89.686	-45.951	94.400			
1939	89.686	-45.951	83.500			
1940	89.686	-45.951	74.100			
1941	89.686	-45.951	65.400			
1942	89.686	-45.951	56.000			
1943	89.686	-45.951	47.300			
1944	89.686	-45.951	37.900			
1945	35.532	-68.022	196.500			
1946	35.532	-68.022	187.100			
1947	35.532	-68.022	178.400			
1948	35.532	-68.022	169.000			
1949	35.532	-68.022	160.300			
1950	35.532	-68.022	150.900			
1951	35.532	-68.022	140.000			
1952	35.532	-68.022	130.600			
1953	35.532	-68.022	121.900			
1954	35.532	-68.022	112.500			
1955	35.532	-68.022	103.800			
1956	35.532	-68.022	94.400			
1957	35.532	-68.022	83.500			
1958	35.532	-68.022	74.100			
1959	35.532	-68.022	65.400			
1960	35.532	-68.022	56.000			
1961	35.532	-68.022	47.300			
1962	35.532	-68.022	37.900			
1963	57.619	-68.203	196.500			
1964	57.619	-68.203	187.100			
1965	57.619	-68.203	178.400			
1966	57.619	-68.203	169.000			
1967	57.619	-68.203	160.300			
1968	57.619	-68.203	150.900			
1969	57.619	-68.203	140.000			
1970	57.619	-68.203	130.600			
1971	57.619	-68.203	121.900			
1972	57.619	-68.203	112.500			
1973	57.619	-68.203	103.800			
1974	57.619	-68.203	94.400			
1975	57.619	-68.203	83.500			
1976	57.619	-68.203	74.100			
1977	57.619	-68.203	65.400			
1978	57.619	-68.203	56.000			
1979	57.619	-68.203	47.300			
1980	57.619	-68.203	37.900			
1981	80.677	-68.791	196.500			
1982	80.677	-68.791	187.100			
1983	80.677	-68.791	178.400			
1984	80.677	-68.791	169.000			
1985	80.677	-68.791	160.300			
1986	80.677	-68.791	150.900			
1987	80.677	-68.791	140.000			
1988	80.677	-68.791	130.600			
1989	80.677	-68.791	121.900			
1990	80.677	-68.791	112.500			
1991	80.677	-68.791	103.800			
1992	80.677	-68.791	94.400			
1993	80.677	-68.791	83.500			
1994	80.677	-68.791	74.100			
1995	80.677	-68.791	65.400			
1996	80.677	-68.791	56.000			
1997	80.677	-68.791	47.300			
1998	80.677	-68.791	37.900			
1999	101.532	-69.112	196.500			
2000	101.532	-69.112	187.100			
2001	101.532	-69.112	178.400			
2002	101.532	-69.112	169.000			
2003	101.532	-69.112	160.300			
2004	101.532	-69.112	150.900			
2005	101.532	-69.112	140.000			
2006	101.532	-69.112	130.600			
2007	101.532	-69.112	121.900			
2008	101.532	-69.112	112.500			
2009	101.532	-69.112	103.800			
2010	101.532	-69.112	94.400			
2011	101.532	-69.112	83.500			
2012	101.532	-69.112	74.100			
2013	101.532	-69.112	65.400			
2014	101.532	-69.112	56.000			
2015	101.532	-69.112	47.300			
2016	101.532	-69.112	37.900			
2017	46.304	-88.668	196.500			
2018	46.304	-88.668	187.100			
2019	46.304	-88.668	178.400			
2020	46.304	-88.668	169.000			
2021	46.304	-88.668	160.300			
2022	46.304	-88.668	150.900			
2023	46.304	-88.668	140.000			
2024	46.304	-88.668	130.600			
2025	46.304	-88.668	121.900			
2026	46.304	-88.668	112.500			
2027	46.304	-88.668	103.800			
2028	46.304	-88.668	94.400			
2029	46.304	-88.668	83.500			
2030	46.304	-88.668	74.100			
2031	46.304	-88.668	65.400			
2032	46.304	-88.668	56.000			
2033	46.304	-88.668	47.300			
2034	46.304	-88.668	37.900			
2035	68.733	-87.166	196.500			
2036	68.733	-87.166	187.100			
2037	68.733	-87.166	178.400			
2038	68.733	-87.166	169.000			
2039	68.733	-87.166	160.300			
2040	68.733	-87.166	150.900			
2041	68.733	-87.166	140.000			
2042	68.733	-87.166	130.600			
2043	68.733	-87.166	121.900			
2044	68.733	-87.166	112.500			
2045	68.733	-87.166	103.800			
2046	68.733	-87.166	94.400			
2047	68.733	-87.166	83.500			
2048	68.733	-87.166	74.100			
2049	68.733	-87.166	65.400			
2050	68.733	-87.166	56.000			
2051	68.733	-87.166	47.300			
2052	68.733	-87.166	37.900			
2053	88.260	-88.688	196.500			
2054	88.260	-88.688	187.100			
2055	88.260	-88.688	178.400			
2056	88.260	-88.688	169.000			
2057	88.260	-88.688	160.300			
2058	88.260	-88.688	150.900			
2059	88.260	-88.688	140.000			
2060	88.260	-88.688	130.600			
2061	88.260	-88.688	121.900			
2062	88.260	-88.688	112.500			
2063	88.260	-88.688	103.800			
2064	88.260	-88.688	94.400			
2065	88.260	-88.688	83.500			
2066	88.260	-88.688	74.100			
2067	88.260	-88.688	65.400			
2068	88.260	-88.688	56.000			
2069	88.260	-88.688	47.300			
2070	88.260	-88.688	37.900			
\ No newline at end of file
diff --git a/orcasong/config.toml b/orcasong/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..191e8cdabae315afaffa7c234c348cefbfdd9eb2
--- /dev/null
+++ b/orcasong/config.toml
@@ -0,0 +1,77 @@
+# filename: config.toml
+# A config file for OrcaSong with multiple configurations.
+# Outcomment the config that you want to use!
+# More info about the .toml format at https://github.com/toml-lang/toml
+
+### All available options with some dummy values
+# --n_bins = '11,13,18,60'
+# --det_geo = 'Orca_115l_23m_h_9m_v'
+# --do2d = false
+# --do2d_plots = false
+# --do2d_plots_n = 10
+# --do3d = false
+# --do4d = true
+# --do4d_mode = 'time'
+# --timecut_mode = 'trigger_cluster'
+# --timecut_timespan = 'tight_1'
+# --do_mc_hits = false
+# --data_cut_triggered = false
+# --data_cut_e_low = 3
+# --data_cut_e_high = 100
+# --data_cut_throw_away = 0.00
+# --prod_ident = 1
+
+
+####----- Collection of configurations for ORCA 115l -----####
+
+###--- 3-100GeV ---###
+
+## XYZ-T
+
+--n_bins = '11,13,18,60'
+--det_geo = 'Orca_115l_23m_h_9m_v'
+--do4d_mode = 'time'
+--timecut_mode = 'trigger_cluster'
+--timecut_timespan = 'tight_1'
+--prod_ident = 1
+
+## XYZ-C
+
+#--n_bins = '11,13,18,31'
+#--det_geo = 'Orca_115l_23m_h_9m_v'
+#--do4d_mode = 'channel_id'
+#--timecut_mode = 'trigger_cluster'
+#--timecut_timespan = 'tight_1'
+#--prod_ident = 1
+
+###--- 3-100GeV ---###
+
+###--- 1-5GeV ---###
+
+### only take < 3GeV events, info throw away: elec-CC 0.25, muon-CC 0.25, elec-NC: 0.00
+
+## XYZ-T
+
+#--n_bins = '11,13,18,60'
+#--det_geo = 'Orca_115l_23m_h_9m_v'
+#--do4d_mode = 'time'
+#--timecut_mode = 'trigger_cluster'
+#--timecut_timespan = 'tight_1'
+#--data_cut_e_high = 3
+#--data_cut_throw_away = 0.25 # elec-CC 0.25, muon-CC 0.25, elec-NC: 0.00
+#--prod_ident = 2
+
+## XYZ-C
+
+#--n_bins = '11,13,18,31'
+#--det_geo = 'Orca_115l_23m_h_9m_v'
+#--do4d_mode = 'channel_id'
+#--timecut_mode = 'trigger_cluster'
+#--timecut_timespan = 'tight_1'
+#--data_cut_e_high = 3
+#--data_cut_throw_away = 0.25 # elec-CC 0.25, muon-CC 0.25, elec-NC: 0.00
+#--prod_ident = 2
+
+###--- 1-5GeV ---###
+
+####----- Collection of configurations for ORCA 115l -----####
diff --git a/orcasong/data_to_images.py b/orcasong/data_to_images.py
index 7ea83a54e53cd40848c7451e45331f7e834f87f8..ae56ed7cad0bf5fe7bde9d866653c0994d0ba13b 100644
--- a/orcasong/data_to_images.py
+++ b/orcasong/data_to_images.py
@@ -1,10 +1,86 @@
 #!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""Main OrcaSong code which takes raw simulated .h5 files as input in order to generate 2D/3D/4D histograms ('images') that can be used for CNNs."""
+# coding=utf-8
+# Filename: data_to_images.py
+"""
+Main OrcaSong code which takes raw simulated .h5 files and the corresponding .detx detector file as input in
+order to generate 2D/3D/4D histograms ('images') that can be used for CNNs.
+The input file can be calibrated or not (e.g. contains pos_xyz of the hits).
+Makes only 4D histograms ('images') by default.
+
+Usage:
+    data_to_images.py [options] FILENAME DETXFILE
+    data_to_images.py (-h | --help)
+
+Options:
+    -h --help                       Show this screen.
+
+    -c CONFIGFILE                   Load all options from a config file (.toml format).
+
+    --n_bins N_BINS                 Number of bins that are used in the image making for each dimension, e.g. (x,y,z,t).
+                                    [default: 11,13,18,60]
+
+    --det_geo DET_GEO               Which detector geometry to use for the binning, e.g. 'Orca_115l_23m_h_9m_v'.
+                                    [default: Orca_115l_23m_h_9m_v]
+
+    --do2d                          If 2D histograms, 'images', should be created.
+
+    --do2d_plots                    If 2D pdf plot visualizations of the 2D histograms should be created, cannot be called if do2d=False.
+
+    --do2d_plots_n N                For how many events the 2D plot visualizations should be made.
+                                    OrcaSong will exit after reaching N events. [default: 10]
+
+    --do3d                          If 3D histograms, 'images', should be created.
+
+    --dont_do4d                     If 4D histograms, 'images', should NOT be created.
+
+    --do4d_mode MODE                What dimension should be used in the 4D histograms as the 4th dim.
+                                    Available: 'time', 'channel_id'. [default: time]
+
+    --timecut_mode MODE             Defines what timecut mode should be used in hits_to_histograms.py.
+                                    At the moment, these cuts are only optimized for ORCA 115l neutrino events!
+                                    Currently available:
+                                    'timeslice_relative': Cuts out the central 30% of the snapshot.
+                                    'trigger_cluster': Cuts based on the mean of the triggered hits.
+                                    The timespan for this cut can be chosen in --timecut_timespan.
+                                    'None': No timecut.
+                                    [default: trigger_cluster]
+
+    --timecut_timespan TIMESPAN     Only used with timecut_mode 'trigger_cluster'.
+                                    Defines the timespan of the trigger_cluster cut.
+                                    Currently available:
+                                    'all': [-350ns, 850ns] -> 20ns / bin (60 bins)
+                                    'tight-1': [-250ns, 500ns] -> 12.5ns / bin
+                                    'tight-2': [-150ns, 200ns] -> 5.8ns / bin
+                                    [default: tight-1]
+
+    --do_mc_hits                    If only the mc_hits (no BG hits!) should be used for the image processing.
+
+    --data_cut_triggered            If non-triggered hits should be thrown away for the images.
+
+    --data_cut_e_low E_LOW          Cut events that are lower than the specified threshold value in GeV.
+
+    --data_cut_e_high E_HIGH        Cut events that are higher than the specified threshold value in GeV.
+
+    --data_cut_throw_away FRACTION  Throw away a random fraction (percentage) of events. [default: 0.00]
+
+    --prod_ident PROD_IDENT         Optional int identifier for the used mc production.
+                                    This is useful, if you use events from two different mc productions,
+                                    e.g. the 1-5GeV & 3-100GeV Orca 2016 MC. The prod_ident int will be saved in
+                                    the 'y' dataset of the output file of OrcaSong. [default: 1]
+
+"""
+
+__author__ = 'Michael Moser'
+__license__ = 'AGPL'
+__version__ = '1.0'
+__email__ = 'michael.m.moser@fau.de'
+__status__ = 'Prototype'
 
 import os
 import sys
 import warnings
+import toml
+from docopt import docopt
 #from memory_profiler import profile # for memory profiling, call with @profile; myfunc()
 #import line_profiler # call with kernprof -l -v file.py args
 import km3pipe as kp
@@ -16,76 +92,98 @@ from orcasong.file_to_hits import *
 from orcasong.histograms_to_files import *
 from orcasong.hits_to_histograms import *
 
-__author__ = 'Michael Moser'
-__license__ = 'AGPL'
-__version__ = '1.0'
-__email__ = 'michael.m.moser@fau.de'
-__status__ = 'Prototype'
 
+def parse_input():
+    """
+    Parses and returns all necessary input options for the data_to_images function.
 
-def parse_input(do2d, do2d_pdf):
+    Check the data_to_images function to get docs about the individual parameters.
+    """
+    args = docopt(__doc__)
+
+    if args['-c']:
+        config = toml.load(args['-c'])
+        args.update(config)
+
+    fname = args['FILENAME']
+    detx_filepath = args['DETXFILE']
+
+    n_bins = tuple(map(int, args['--n_bins'].split(',')))
+    det_geo = args['--det_geo']
+    do2d = args['--do2d']
+    do2d_plots = (args['--do2d_plots'], int(args['--do2d_plots_n']))
+    do3d = args['--do3d']
+    do4d = (not bool(args['--dont_do4d']), args['--do4d_mode'])
+    timecut = (args['--timecut_mode'], args['--timecut_timespan'])
+    do_mc_hits = args['--do_mc_hits']
+    data_cuts = dict()
+    data_cuts['triggered'] = args['--data_cut_triggered']
+    data_cuts['energy_lower_limit'] = float(args['--data_cut_e_low']) if args['--data_cut_e_low'] is not None else None
+    data_cuts['energy_upper_limit'] = float(args['--data_cut_e_high']) if args['--data_cut_e_high'] is not None else None
+    data_cuts['throw_away_prob'] = float(args['--data_cut_throw_away'])
+    prod_ident = int(args['--prod_ident'])
+
+    return fname, detx_filepath, n_bins, det_geo, do2d, do2d_plots, do3d, do4d, prod_ident, timecut,\
+           do_mc_hits, data_cuts
+
+
+def parser_check_input(args):
     """
-    Handles input exceptions, warnings and helps.
+    Sanity check of the user input. Only necessary for options that are not boolean.
 
     Parameters
     ----------
-    do2d : bool
-        Boolean flag for creation of 2D histograms.
-    do2d_pdf : tuple(bool, int)
-        Tuple with boolean flag for creation of 2D pdf images.
-
-    Returns
-    -------
-    fname : str
-        A string containing the parsed filename.
+    args : dict
+        Docopt parser element that contains all input information.
 
     """
-    if len(sys.argv) < 2 or str(sys.argv[1]) == "-h":
-        print("Usage: python " + str(sys.argv[0]) + " file.h5")
-        sys.exit(1)
+    #---- Checks input types ----#
 
-    if do2d==False and do2d_pdf==True:
-        raise ValueError('The 2D pdf images cannot be created if do2d=False. Please try again.')
+    # Check for options with a single, non-boolean element
+    single_args = {'--det_geo': str, '--do2d_plots_n': int, '--do4d_mode': str, '--timecut_mode': str,
+                   'timecut_timespan': str,  '--data_cut_e_low ': float, '--data_cut_e_high': float,
+                   '--data_cut_throw_away': float, '--prod_ident': int}
 
-    if do2d_pdf[0] is True and do2d_pdf[1] > 100:
-        warnings.warn('You declared do2d_pdf=(True, int) with int > 100. This will take more than two minutes.'
-                      'Do you really want to create pdfs images for so many events?')
+    for key in single_args:
+        expected_arg_type = single_args[key]
+        parsed_arg = args[key]
 
-    if not os.path.isfile(str(sys.argv[1])):
-        raise IOError('The file -' + str(sys.argv[1]) + '- does not exist.')
+        if parsed_arg is None: # we don't want to check args when there has been no user input
+            continue
 
-    fname = str(sys.argv[1])
-    return fname
+        try:
+            map(expected_arg_type, parsed_arg)
+        except ValueError:
+            raise TypeError('The argument option ', key, ' only accepts ', str(expected_arg_type),
+                            ' values as an input.')
 
+    # Checks the n_bins tuple input
+    try:
+        map(int, args['--n_bins'].split(','))
+    except ValueError:
+        raise TypeError('The argument option n_bins only accepts integer values as an input'
+                        ' (Format: --n_bins 11,13,18,60).')
 
-def calculate_bin_edges_test(geo, y_bin_edge, z_bin_edge):
-    """
-    Tests, if the bins in one direction don't accidentally have more than 'one' OM.
 
-    For the x-direction, an overlapping can not be avoided in an orthogonal space.
-    For y and z though, it can!
-    For y, every bin should contain the number of lines per y-direction * 18 for 18 doms per line.
-    For z, every bin should contain 115 entries, since every z bin contains one storey of the 115 ORCA lines.
-    Not 100% accurate, since only the dom positions are used and not the individual pmt positions for a dom.
-    """
-    geo_y = geo[:, 2]
-    geo_z = geo[:, 3]
-    hist_y = np.histogram(geo_y, bins=y_bin_edge)
-    hist_z = np.histogram(geo_z, bins=z_bin_edge)
+    # ---- Checks input types ----#
 
-    print('----------------------------------------------------------------------------------------------')
-    print('Y-axis: Bin content: ' + str(hist_y[0]))
-    print('It should be:        ' + str(np.array(
-        [4 * 18, 7 * 18, 9 * 18, 10 * 18, 9 * 18, 10 * 18, 10 * 18, 10 * 18, 11 * 18, 10 * 18, 9 * 18, 8 * 18, 8 * 18])))
-    print('Y-axis: Bin edges: ' + str(hist_y[1]))
-    print('..............................................................................................')
-    print('Z-axis: Bin content: ' + str(hist_z[0]))
-    print('It should have 115 entries everywhere')
-    print('Z-axis: Bin edges: ' + str(hist_z[1]))
-    print('----------------------------------------------------------------------------------------------')
+    # ---- Check other things ----#
+
+    if not os.path.isfile(args['FILENAME']):
+        raise IOError('The file -' + args['FILENAME'] + '- does not exist.')
+
+    if not os.path.isfile(args['DETXFILE']):
+        raise IOError('The file -' + args['DETXFILE'] + '- does not exist.')
+
+    if bool(args['--do2d']) == False and bool(args['--do2d_plots']) == True:
+        raise ValueError('The 2D pdf images cannot be created if do2d=False!')
 
+    if bool(args['--do2d_plots']) == True and int(args['--do2d_plots_n']) > 100:
+        warnings.warn('You declared do2d_pdf=(True, int) with int > 100. This will take more than two minutes.'
+                      'Do you really want to create pdfs images for so many events?')
 
-def calculate_bin_edges(n_bins, det_geo, fname_geo_limits, do4d):
+
+def calculate_bin_edges(n_bins, det_geo, detx_filepath, do4d):
     """
     Calculates the bin edges for the corresponding detector geometry (1 DOM/bin) based on the number of specified bins.
 
@@ -98,8 +196,8 @@ def calculate_bin_edges(n_bins, det_geo, fname_geo_limits, do4d):
         Contains the desired number of bins for each dimension, [n_bins_x, n_bins_y, n_bins_z].
     det_geo : str
         Declares what detector geometry should be used for the binning.
-    fname_geo_limits : str
-        Filepath of the .txt ORCA geometry file.
+    detx_filepath : str
+        Filepath of a .detx detector file which contains the geometry of the detector.
     do4d : tuple(boo, str)
         Tuple that declares if 4D histograms should be created [0] and if yes, what should be used as the 4th dim after xyz.
 
@@ -109,16 +207,20 @@ def calculate_bin_edges(n_bins, det_geo, fname_geo_limits, do4d):
         The bin edges for the x,y,z direction.
 
     """
-    print("Reading detector geometry in order to calculate the detector dimensions from file " + fname_geo_limits)
-    geo = np.loadtxt(fname_geo_limits)
+    # Loads a kp.Geometry object based on the filepath of a .detx file
+    print("Reading detector geometry in order to calculate the detector dimensions from file " + detx_filepath)
+    geo = kp.calib.Calibration(filename=detx_filepath)
 
-    # derive maximum and minimum x,y,z coordinates of the geometry input [[first_OM_id, xmin, ymin, zmin], [last_OM_id, xmax, ymax, zmax]]
-    geo_limits = np.nanmin(geo, axis = 0), np.nanmax(geo, axis = 0)
-    print('Detector dimensions [[first_OM_id, xmin, ymin, zmin], [last_OM_id, xmax, ymax, zmax]]: ' + str(geo_limits))
+    # derive maximum and minimum x,y,z coordinates of the geometry input [[xmin, ymin, zmin], [xmax, ymax, zmax]]
+    dom_position_values = geo.get_detector().dom_positions.values()
+    dom_pos_max = np.amax([pos for pos in dom_position_values], axis=0)
+    dom_pos_min = np.amin([pos for pos in dom_position_values], axis=0)
+    geo_limits = dom_pos_min, dom_pos_max
+    print('Detector dimensions [[xmin, ymin, zmin], [xmax, ymax, zmax]]: ' + str(geo_limits))
 
     if det_geo == 'Orca_115l_23m_h_9m_v' or det_geo == 'Orca_115l_23m_h_?m_v':
-        x_bin_edges = np.linspace(geo_limits[0][1] - 9.95, geo_limits[1][1] + 9.95, num=n_bins[0] + 1) #try to get the lines in the bin center 9.95*2 = average x-separation of two lines
-        y_bin_edges = np.linspace(geo_limits[0][2] - 9.75, geo_limits[1][2] + 9.75, num=n_bins[1] + 1) # Delta y = 19.483
+        x_bin_edges = np.linspace(geo_limits[0][0] - 9.95, geo_limits[1][0] + 9.95, num=n_bins[0] + 1) #try to get the lines in the bin center 9.95*2 = average x-separation of two lines
+        y_bin_edges = np.linspace(geo_limits[0][1] - 9.75, geo_limits[1][1] + 9.75, num=n_bins[1] + 1) # Delta y = 19.483
 
         # Fitted offsets: x,y,factor: factor*(x+x_off), # Stefan's modifications:
         offset_x, offset_y, scale = [6.19, 0.064, 1.0128]
@@ -135,31 +237,108 @@ def calculate_bin_edges(n_bins, det_geo, fname_geo_limits, do4d):
 
         else:
             n_bins_z = n_bins[2] if do4d[1] != 'xzt-c' else n_bins[1] # n_bins = [xyz,t/c] or n_bins = [xzt,c]
-            z_bin_edges = np.linspace(geo_limits[0][3] - 4.665, geo_limits[1][3] + 4.665, num=n_bins_z + 1)  # Delta z = 9.329
+            z_bin_edges = np.linspace(geo_limits[0][2] - 4.665, geo_limits[1][2] + 4.665, num=n_bins_z + 1)  # Delta z = 9.329
 
-        # calculate_bin_edges_test(geo, y_bin_edges, z_bin_edges) # test disabled by default. Activate it, if you change the offsets in x/y/z-bin-edges
+        # calculate_bin_edges_test(dom_positions, y_bin_edges, z_bin_edges) # test disabled by default. Activate it, if you change the offsets in x/y/z-bin-edges
 
     else:
         raise ValueError('The specified detector geometry "' + str(det_geo) + '" is not available.')
 
-    return x_bin_edges, y_bin_edges, z_bin_edges
+    return geo, x_bin_edges, y_bin_edges, z_bin_edges
+
+
+def calculate_bin_edges_test(geo, y_bin_edges, z_bin_edges):
+    """
+    Tests, if the bins in one direction don't accidentally have more than 'one' OM.
+
+    For the x-direction, an overlapping can not be avoided in an orthogonal space.
+    For y and z though, it can!
+    For y, every bin should contain the number of lines per y-direction * 18 for 18 doms per line.
+    For z, every bin should contain 115 entries, since every z bin contains one storey of the 115 ORCA lines.
+    Not 100% accurate, since only the dom positions are used and not the individual pmt positions for a dom.
+    """
+    dom_positions = np.stack(list(geo.get_detector().dom_positions.values()))
+    dom_y = dom_positions[:, 1]
+    dom_z = dom_positions[:, 2]
+    hist_y = np.histogram(dom_y, bins=y_bin_edges)
+    hist_z = np.histogram(dom_z, bins=z_bin_edges)
+
+    print('----------------------------------------------------------------------------------------------')
+    print('Y-axis: Bin content: ' + str(hist_y[0]))
+    print('It should be:        ' + str(np.array(
+        [4 * 18, 7 * 18, 9 * 18, 10 * 18, 9 * 18, 10 * 18, 10 * 18, 10 * 18, 11 * 18, 10 * 18, 9 * 18, 8 * 18, 8 * 18])))
+    print('Y-axis: Bin edges: ' + str(hist_y[1]))
+    print('..............................................................................................')
+    print('Z-axis: Bin content: ' + str(hist_z[0]))
+    print('It should have 115 entries everywhere')
+    print('Z-axis: Bin edges: ' + str(hist_z[1]))
+    print('----------------------------------------------------------------------------------------------')
 
 
-def main(n_bins, det_geo, do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(True, 'time'), prod_ident=None,
-         timecut=('trigger_cluster', 'tight_1'), do_mc_hits=False, use_calibrated_file=False, data_cuts=None):
+def skip_event(event_track, data_cuts):
+    """
+    Function that checks if an event should be skipped, depending on the data_cuts input.
+
+    Parameters
+    ----------
+    event_track : ndarray(ndim=1)
+        1D array containing important MC information of the event, only the energy of the event (pos_2) is used here.
+    data_cuts : dict
+        Dictionary that contains information about any possible cuts that should be applied.
+        Supports the following cuts: 'triggered', 'energy_lower_limit', 'energy_upper_limit', 'throw_away_prob'.
+
+    Returns
+    -------
+    continue_bool : bool
+        boolean flag to specify, if this event should be skipped or not.
+
+    """
+    continue_bool = False
+
+    if data_cuts['energy_lower_limit'] is not None:
+        continue_bool = event_track[2] < data_cuts['energy_lower_limit'] # True if E < lower limit
+
+    if data_cuts['energy_upper_limit'] is not None:
+        continue_bool = event_track[2] > data_cuts['energy_upper_limit'] # True if E > upper limit
+
+    if data_cuts['throw_away_prob'] > 0:
+        throw_away_prob = data_cuts['throw_away_prob']
+        throw_away = np.random.choice([False, True], p=[1 - throw_away_prob, throw_away_prob])
+        if throw_away == True: continue_bool = True
+
+    #     # TODO temporary, deprecated solution, we always need to throw away the same events if we have multiple inputs -> use fixed seed
+    #     arr = np.load('/home/woody/capn/mppi033h/Code/OrcaSong/utilities/low_e_prod_surviving_evts_elec-CC.npy')
+    #     arr_list = arr.tolist()
+    #     evt_id = event_track[0]
+    #     run_id = event_track[9]
+    #
+    #     if [run_id, evt_id] not in arr_list:
+    #         continue
+
+    return continue_bool
+
+
+def data_to_images(fname, detx_filepath, n_bins, det_geo, do2d, do2d_plots, do3d, do4d, prod_ident, timecut,
+                   do_mc_hits, data_cuts):
     """
     Main code with config parameters. Reads raw .hdf5 files and creates 2D/3D histogram projections that can be used
     for a CNN.
 
     Parameters
     ----------
+    fname : str
+        Filename (full path!) of the input file.
+    detx_filepath : str
+        String with the full filepath to the corresponding .detx file of the input file.
+        Used for the binning and for the hits calibration if the input file is not calibrated yet
+        (e.g. hits do not contain pos_x/y/z, time, ...).
     n_bins : tuple of int
         Declares the number of bins that should be used for each dimension, e.g. (x,y,z,t).
     det_geo : str
         Declares what detector geometry should be used for the binning. E.g. 'Orca_115l_23m_h_9m_v'.
     do2d : bool
         Declares if 2D histograms, 'images', should be created.
-    do2d_pdf : tuple(bool, int)
+    do2d_plots : tuple(bool, int)
         Declares if pdf visualizations of the 2D histograms should be created, cannot be called if do2d=False.
         The event loop will be stopped after the integer specified in the second argument.
     do3d : bool
@@ -177,74 +356,45 @@ def main(n_bins, det_geo, do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(Tr
         Currently available:
         ('timeslice_relative', None): Cuts out the central 30% of the snapshot.
         ('trigger_cluster', 'all' / 'tight-1' / 'tight-2'): Cuts based on the mean of the triggered hits.
+        (None, ...): No timecut.
         all: [-350ns, 850ns] -> 20ns / bin (60 bins)
         tight-1: [-250ns, 500ns] -> 12.5ns / bin , tight-2: [-150ns, 200ns] -> 5.8ns / bin
     do_mc_hits : bool
-        Declares if hits (False, mc_hits + BG) or mc_hits (True) should be processed
-    use_calibrated_file : bool
-        Declares if the input file is already calibrated (pos_x/y/z, time) or not.
+        Declares if hits (False, mc_hits + BG) or mc_hits (True) should be processed.
     data_cuts : dict
         Dictionary that contains information about any possible cuts that should be applied.
-        Supports the following cuts: 'triggered', 'energy_lower_limit'
+        Supports the following cuts: 'triggered', 'energy_lower_limit', 'energy_upper_limit', 'throw_away_prob'.
 
     """
-    if data_cuts is None: data_cuts={'triggered': False, 'energy_lower_limit': 0}
     np.random.seed(42) # set random seed
 
-    filename_input = parse_input(do2d, do2d_pdf)
-    filename = os.path.basename(os.path.splitext(filename_input)[0])
+    filename = os.path.basename(os.path.splitext(fname)[0])
     filename_output = filename.replace('.','_')
-    filename_geo_limits = 'ORCA_Geo_115lines.txt' # used for calculating the dimensions of the ORCA can
-
-    geo = None
-    if use_calibrated_file is False:
-        filename_geometry = 'orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx'  # used for x/y/z calibration
-        if os.path.isfile(filename_geometry) is True:
-            geo = kp.Geometry(filename='/home/woody/capn/mppi033h/misc/orca_detectors/fixed/' + filename_geometry)
-        else:
-            raise IOError('The .detx file does not exist in the default path </home/woody/capn/mppi033h/misc/orca_detectors/fixed/>! '
-                          'Change the path or add the .detx file to the default path.')
 
-    x_bin_edges, y_bin_edges, z_bin_edges = calculate_bin_edges(n_bins, det_geo, filename_geo_limits, do4d)
+    geo, x_bin_edges, y_bin_edges, z_bin_edges = calculate_bin_edges(n_bins, det_geo, detx_filepath, do4d)
 
     all_4d_to_2d_hists, all_4d_to_3d_hists, all_4d_to_4d_hists, mc_infos = [], [], [], []
 
-    pdf_2d_plots = PdfPages('Results/4dTo2d/' + filename_output + '_plots.pdf') if do2d_pdf[0] is True else None
+    pdf_2d_plots = PdfPages('Results/4dTo2d/' + filename_output + '_plots.pdf') if do2d_plots[0] is True else None
 
     # Initialize HDF5Pump of the input file
-    event_pump = kp.io.hdf5.HDF5Pump(filename=filename_input)
-    print('Generating histograms from the hits in XYZT format for files based on ' + filename_input)
+    event_pump = kp.io.hdf5.HDF5Pump(filename=fname)
+    print('Generating histograms from the hits in XYZT format for files based on ' + fname)
     for i, event_blob in enumerate(event_pump):
         if i % 10 == 0:
             print('Event No. ' + str(i))
 
         # filter out all hit and track information belonging that to this event
-        event_hits, event_track = get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts, do4d, prod_ident)
+        event_hits, event_track = get_event_data(event_blob, geo, do_mc_hits, data_cuts, do4d, prod_ident)
 
-        if event_track[2] < data_cuts['energy_lower_limit'] or event_track[2] > data_cuts['energy_upper_limit']:
-            # Cutting events with energy < threshold (default=0) and with energy > threshold (default=200)
-            continue
-
-        if data_cuts['throw_away_prob'] > 0:
-            throw_away_prob = data_cuts['throw_away_prob']
-            throw_away = np.random.choice([False, True], p=[1-throw_away_prob, throw_away_prob])
-            if throw_away is True:
-                continue
-
-        #     # TODO temporary, deprecated solution, we always need to throw away the same events if we have multiple inputs -> use fixed seed
-        #     arr = np.load('/home/woody/capn/mppi033h/Code/OrcaSong/utilities/low_e_prod_surviving_evts_elec-CC.npy')
-        #     arr_list = arr.tolist()
-        #     evt_id = event_track[0]
-        #     run_id = event_track[9]
-        #
-        #     if [run_id, evt_id] not in arr_list:
-        #         continue
+        continue_bool = skip_event(event_track, data_cuts)
+        if continue_bool: continue
 
         # event_track: [event_id, particle_type, energy, isCC, bjorkeny, dir_x/y/z, time]
         mc_infos.append(event_track)
 
         if do2d:
-            compute_4d_to_2d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edges, n_bins, all_4d_to_2d_hists, timecut, event_track, do2d_pdf[0], pdf_2d_plots)
+            compute_4d_to_2d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edges, n_bins, all_4d_to_2d_hists, timecut, event_track, do2d_plots[0], pdf_2d_plots)
 
         if do3d:
             compute_4d_to_3d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edges, n_bins, all_4d_to_3d_hists, timecut)
@@ -252,7 +402,7 @@ def main(n_bins, det_geo, do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(Tr
         if do4d[0]:
             compute_4d_to_4d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edges, n_bins, all_4d_to_4d_hists, timecut, do4d)
 
-        if do2d_pdf[0] is True and i >= do2d_pdf[1]:
+        if do2d_plots[0] is True and i >= do2d_plots[1]:
             pdf_2d_plots.close()
             break
 
@@ -283,31 +433,18 @@ def main(n_bins, det_geo, do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(Tr
             store_histograms_as_hdf5(np.array(all_4d_to_4d_hists), np.array(mc_infos), 'Results/4dTo4d/h5/xyzt/' + folder + filename_output + '_xyzt.h5', compression=('gzip', 1))
 
 
+def main():
+    """
+    Parses the input to the main data_to_images function.
+    """
+    fname, detx_filepath, n_bins, det_geo, do2d, do2d_plots, do3d, do4d, prod_ident, timecut, do_mc_hits, data_cuts = parse_input()
+    data_to_images(fname, detx_filepath, n_bins, det_geo, do2d, do2d_plots, do3d, do4d, prod_ident, timecut,
+                   do_mc_hits, data_cuts)
+
+
 if __name__ == '__main__':
-    # 3-100GeV
-    # main(n_bins=(11,13,18,60), det_geo='Orca_115l_23m_h_9m_v', do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(True, 'time'),
-    #      timecut = ('trigger_cluster', 'tight_1'), do_mc_hits=False, use_calibrated_file=True,
-    #      data_cuts = {'triggered': False, 'energy_lower_limit': 0, 'energy_upper_limit': 200, 'throw_away_prob': 0})
-
-    # 1-5GeV , info throw away: elec-CC 0.25, muon-CC 0.25, elec-NC: 0.00
-    # main(n_bins=(11,13,18,60), det_geo='Orca_115l_23m_h_9m_v', do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(True, 'time'),
-    #      timecut = ('trigger_cluster', 'tight_1'), do_mc_hits=False, use_calibrated_file=True,
-    #      data_cuts = {'triggered': False, 'energy_lower_limit': 0, 'energy_upper_limit': 3, 'throw_away_prob': 0.00})
-
-    # xyz-c
-    # 3-100GeV
-    # main(n_bins=(11,13,18,31), det_geo='Orca_115l_23m_h_9m_v', do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(True, 'channel_id'),
-    #      timecut = ('trigger_cluster', 'tight_1'), do_mc_hits=False, use_calibrated_file=True,
-    #      data_cuts = {'triggered': False, 'energy_lower_limit': 0, 'energy_upper_limit': 200, 'throw_away_prob': 0})
-
-    # 1-5GeV , info throw away: elec-CC 0.25, muon-CC 0.25, elec-NC: 0.00
-    main(n_bins=(11,13,18,31), det_geo='Orca_115l_23m_h_9m_v', do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(True, 'channel_id'),
-         timecut = ('trigger_cluster', 'tight_1'), do_mc_hits=False, use_calibrated_file=True,
-         data_cuts = {'triggered': False, 'energy_lower_limit': 0, 'energy_upper_limit': 3, 'throw_away_prob': 0.00})
-
-    # main(n_bins=(11,13,18,60), det_geo='Orca_115l_23m_h_9m_v', do2d=False, do2d_pdf=(False, 10), do3d=False, do4d=(True, 'channel_id'),
-    #      timecut = ('trigger_cluster', 'all'), do_mc_hits=False, use_calibrated_file=True,
-    #      data_cuts = {'triggered': False, 'energy_lower_limit': 0, 'energy_upper_limit': 200, 'throw_away_prob': 0})
+    main()
+
 
 
 
diff --git a/orcasong/file_to_hits.py b/orcasong/file_to_hits.py
index 061ccada2d32165716cb346f8f201398cddc7c40..fe311ff5584a53d424bc6769eb876ac8f482d77c 100644
--- a/orcasong/file_to_hits.py
+++ b/orcasong/file_to_hits.py
@@ -45,7 +45,6 @@ def get_time_residual_nu_interaction_mean_triggered_hits(time_interaction, hits_
         Array with trigger flags that specifies if the hit is triggered or not.
 
     """
-
     hits_time_triggered = hits_time[triggered == 1]
     t_mean_triggered = np.mean(hits_time_triggered, dtype=np.float64)
     time_residual_vertex = t_mean_triggered - time_interaction
@@ -53,7 +52,7 @@ def get_time_residual_nu_interaction_mean_triggered_hits(time_interaction, hits_
     return time_residual_vertex
 
 
-def get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts, do4d, prod_ident):
+def get_event_data(event_blob, geo, do_mc_hits, data_cuts, do4d, prod_ident):
     """
     Reads a km3pipe blob which contains the information for one event and returns a hit array and a track array
     that contains all relevant information of the event.
@@ -68,9 +67,6 @@ def get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts,
     do_mc_hits : bool
         Tells the function of the hits (mc_hits + BG) or the mc_hits only should be parsed.
         In the case of mc_hits, the dom_id needs to be calculated thanks to the jpp output.
-    use_calibrated_file : bool
-        Specifies if a calibrated file is used as an input for the event_blob.
-        If False, the hits of the event_blob are calibrated based on the geo parameter.
     data_cuts : dict
         Specifies if cuts should be applied.
         Contains the keys 'triggered' and 'energy_lower/upper_limit' and 'throw_away_prob'.
@@ -79,6 +75,9 @@ def get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts,
         In the case of 'channel_id', this information needs to be included in the event_hits as well.
     prod_ident : int
         Optional int that identifies the used production, more documentation in the docs of the main function.
+    geo : None/kp.Geometry
+        If none, the event_blob should already contain the calibrated hit information (e.g. pos_xyz).
+        Else, a km3pipe Geometry instance that contains the geometry information of the detector.
 
     Returns
     -------
@@ -91,11 +90,16 @@ def get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts,
         vertex_pos_x, vertex_pos_y, vertex_pos_z, time_residual_vertex, (prod_ident)].
 
     """
-    p = get_primary_track_index(event_blob)
+    p = get_primary_track_index(event_blob) # TODO fix for mupage/random_noise
+
+    # parse track, contains event information like mc_energy
+
+    if 'Header' in event_blob: # if Header exists in file, take run_id from it. Else take it from RawHeader.
+        run_id = event_blob['Header'].start_run.run_id.astype('float32')
+    else:
+        run_id = event_blob['RawHeader'][0][0].astype('float32')
 
-    # parse tracks [event_id, particle_type, energy, isCC, bjorkeny, dir_x/y/z, time]
     event_id = event_blob['EventInfo'].event_id[0]
-    run_id = event_blob['Header'].start_run.run_id.astype('float32') # todo check if already f32
     particle_type = event_blob['McTracks'][p].type
     energy = event_blob['McTracks'][p].energy
     is_cc = event_blob['McTracks'][p].is_cc
@@ -106,12 +110,9 @@ def get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts,
     time_interaction = event_blob['McTracks'][p].time
 
     # parse hits [x,y,z,time]
-    if do_mc_hits is True:
-        hits = event_blob["McHits"]
-    else:
-        hits = event_blob["Hits"]
+    hits = event_blob['Hits'] if do_mc_hits is False else event_blob['McHits']
 
-    if use_calibrated_file is False:
+    if 'pos_x' not in event_blob['Hits'].dtype.names: # check if blob already calibrated
         hits = geo.apply(hits)
 
     if data_cuts['triggered'] is True:
@@ -127,7 +128,7 @@ def get_event_data(event_blob, geo, do_mc_hits, use_calibrated_file, data_cuts,
     # save collected information to arrays event_track and event_hits
     track = [event_id, particle_type, energy, is_cc, bjorkeny, dir_x, dir_y, dir_z, time_track, run_id,
              vertex_pos_x, vertex_pos_y, vertex_pos_z, time_residual_vertex]
-    if prod_ident is not None: track.append(np.full(event_id.shape, prod_ident))
+    if prod_ident is not None: track.append(prod_ident)
 
     event_track = np.array(track, dtype=np.float64)
 
diff --git a/orcasong/hits_to_histograms.py b/orcasong/hits_to_histograms.py
index 5f447e104136b9330123a8799a7b301449bfba91..e150db5eceedd1de466fe00cfb69adfc39761c36 100644
--- a/orcasong/hits_to_histograms.py
+++ b/orcasong/hits_to_histograms.py
@@ -65,12 +65,16 @@ def get_time_parameters(event_hits, mode=('trigger_cluster', 'all'), t_start_mar
         t_start = t_mean - t_start_margin * t_diff
         t_end = t_mean + t_end_margin * t_diff
 
+    elif mode[0] is None:
+        t_start = np.amin(t)
+        t_end = np.amax(t)
+
     else: raise ValueError('Time cut modes other than "first_triggered" or "timeslice_relative" are currently not supported.')
 
     return t_start, t_end
 
 
-def compute_4d_to_2d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edges, n_bins, all_4d_to_2d_hists, timecut, event_track, do2d_pdf, pdf_2d_plots):
+def compute_4d_to_2d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edges, n_bins, all_4d_to_2d_hists, timecut, event_track, do2d_plots, pdf_2d_plots):
     """
     Computes 2D numpy histogram 'images' from the 4D data and appends the 2D histograms to the all_4d_to_2d_hists list,
     [xy, xz, yz, xt, yt, zt].
@@ -89,7 +93,7 @@ def compute_4d_to_2d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edge
         Tuple that defines what timecut should be used in hits_to_histograms.
     event_track : ndarray(ndim=2)
         Contains the relevant mc_track info for the event in order to get a nice title for the pdf histos.
-    do2d_pdf : bool
+    do2d_plots : bool
         If True, generate 2D matplotlib pdf histograms.
     pdf_2d_plots : mpl.backends.backend_pdf.PdfPages/None
         Either a mpl PdfPages instance or None.
@@ -117,7 +121,7 @@ def compute_4d_to_2d_histograms(event_hits, x_bin_edges, y_bin_edges, z_bin_edge
                                np.array(hist_yt[0], dtype=np.uint8),
                                np.array(hist_zt[0], dtype=np.uint8)))
 
-    if do2d_pdf:
+    if do2d_plots:
         # Format in classical numpy convention: x along first dim (vertical), y along second dim (horizontal)
         # Need to take that into account in convert_2d_numpy_hists_to_pdf_image()
         # transpose to get typical cartesian convention: y along first dim (vertical), x along second dim (horizontal)
diff --git a/requirements.txt b/requirements.txt
index 315080cc43e07693f626b317a43f77264ffafed1..ef68082bf2d8a5a05dc3e3869e8ee62b2b59b5ab 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,3 +2,5 @@ numpy
 h5py
 matplotlib
 km3pipe
+docopt
+toml