diff --git a/km3buu/config.py b/km3buu/config.py
index e4d5acfdc59ec15ede970b5557a6690c5b151937..37834491dabe8e1306b8b5fdc87a1130a70affbf 100644
--- a/km3buu/config.py
+++ b/km3buu/config.py
@@ -3,7 +3,7 @@
# Filename: config.py
# Author: Johannes Schumann <jschumann@km3net.de>
"""
-
+Configuration for km3buu
"""
import os
@@ -30,6 +30,8 @@ log = get_logger(__name__)
GIBUU_SECTION = "GiBUU"
PROPOSAL_SECTION = "PROPOSAL"
+GSEAGEN_SECTION = "gSeagen"
+GSEAGEN_MEDIA_COMPOSITION_FILE = "MediaComposition.xml"
class Config(object):
@@ -95,7 +97,15 @@ class Config(object):
@proposal_itp_tables.setter
def proposal_itp_tables(self, value):
- self.set(PROPOSAL_SECTION, "itp_table_path")
+ self.set(PROPOSAL_SECTION, "itp_table_path", value)
+
+ @property
+ def gseagen_path(self):
+ return self.get(GSEAGEN_SECTION, "path")
+
+ @gseagen_path.setter
+ def gseagen_path(self, value):
+ self.set(GIBUU_SECTION, "path", value)
def read_media_compositions(filename):
@@ -122,9 +132,15 @@ def read_media_compositions(filename):
elements[name] = (mendeleev.element(name), fraction)
attr = dict()
if "density" in media.attrib:
- density = media.attrib["density"]
+ density = float(media.attrib["density"])
attr["density"] = density
attr["elements"] = elements
key = media.attrib["media"]
compositions[key] = attr
return compositions
+
+
+def read_default_media_compositions():
+ cfg = Config()
+ fpath = join(cfg.gseagen_path, "dat", GSEAGEN_MEDIA_COMPOSITION_FILE)
+ return read_media_compositions(fpath)
diff --git a/km3buu/output.py b/km3buu/output.py
index c29042c74c440dd62ba30f20e278b4d44833047f..8eb318f314267c16d45553e72a045181789169df 100644
--- a/km3buu/output.py
+++ b/km3buu/output.py
@@ -22,8 +22,11 @@ import awkward1
import uproot4
from scipy.interpolate import UnivariateSpline
from scipy.spatial.transform import Rotation
+import scipy.constants as constants
+import mendeleev
from .jobcard import Jobcard, read_jobcard, PDGID_LOOKUP
+from .config import read_default_media_compositions
EVENT_FILENAME = "FinalEvents.dat"
ROOT_PERT_FILENAME = "EventOutput.Pert.[0-9]{8}.root"
@@ -31,6 +34,8 @@ ROOT_REAL_FILENAME = "EventOutput.Real.[0-9]{8}.root"
FLUXDESCR_FILENAME = "neutrino_initialized_energyFlux.dat"
XSECTION_FILENAMES = {"all": "neutrino_absorption_cross_section_ALL.dat"}
+SECONDS_PER_YEAR = 365.25 * 24 * 60 * 60
+
PARTICLE_COLUMNS = ["E", "Px", "Py", "Pz", "barcode"]
EVENTINFO_COLUMNS = [
"weight", "evType", "lepIn_E", "lepIn_Px", "lepIn_Py", "lepIn_Pz",
@@ -161,8 +166,34 @@ class GiBUUOutput:
xsec = np.divide(total_flux_events * weights, deltaE * n_files)
return xsec
- def _w2weights(self, root_tupledata):
- pass
+ def w2weights(self, volume, target_density, solid_angle):
+ """
+ Calculate w2weights
+
+ Parameters
+ ----------
+ volume: float [m^3]
+ The interaction volume
+ target_density: float [m^-3]
+ N_A * Ï
+ solid_angle: float
+ Solid angle of the possible neutrino incident direction
+
+ """
+ root_tupledata = self.arrays
+ energy_min = np.min(self.flux_data["energy"])
+ energy_max = np.max(self.flux_data["energy"])
+ energy_phase_space = self.flux_interpolation.integral(
+ energy_min, energy_max)
+ xsec = self._event_xsec(
+ root_tupledata
+ ) * self.A #xsec_per_nucleon * no_nucleons in the core
+ inv_gen_flux = np.power(
+ self.flux_interpolation(root_tupledata.lepIn_E), -1)
+ phase_space = solid_angle * energy_phase_space
+ env_factor = volume * SECONDS_PER_YEAR
+ retval = env_factor * phase_space * inv_gen_flux * xsec * 10**-42 * target_density
+ return retval
@staticmethod
def bjorken_x(roottuple_data):
@@ -222,23 +253,12 @@ class GiBUUOutput:
@property
def df(self):
+ """
+ GiBUU output data in pandas dataframe format
+ """
import pandas as pd
df = None
- for fname in self.root_pert_files:
- with uproot4.open(join(self._data_path, fname)) as fobj:
- event_data = fobj[ROOTTUPLE_KEY].arrays()
- tmp_df = awkward1.to_pandas(event_data)
- idx_mask = tmp_df.groupby(level=[0]).ngroup()
- tmp_df["xsec"] = self._event_xsec(event_data)[idx_mask]
- tmp_df["Bx"] = GiBUUOutput.bjorken_x(event_data)[idx_mask]
- tmp_df["By"] = GiBUUOutput.bjorken_y(event_data)[idx_mask]
- if df is None:
- df = tmp_df
- else:
- new_indices = tmp_df.index.levels[0] + df.index.levels[0].max(
- ) + 1
- tmp_df.index = tmp_df.index.set_levels(new_indices, level=0)
- df = df.append(tmp_df)
+ df = awkward1.to_pandas(self.arrays)
sec_df = df[df.index.get_level_values(1) == 0]
sec_df.loc[:, "E"] = sec_df.lepOut_E
sec_df.loc[:, "Px"] = sec_df.lepOut_Px
@@ -253,6 +273,25 @@ class GiBUUOutput:
df = df.append(sec_df)
return df
+ @property
+ def arrays(self):
+ """
+ GiBUU output data in awkward1 format
+ """
+ retval = None
+ for ifile in self.root_pert_files:
+ fobj = uproot4.open(join(self.data_path, ifile))
+ if retval is None:
+ retval = fobj["RootTuple"].arrays()
+ else:
+ tmp = fobj["RootTuple"].arrays()
+ retval = np.concatenate((retval, tmp))
+ # Calculate additional information
+ retval["xsec"] = self._event_xsec(retval)
+ retval["Bx"] = GiBUUOutput.bjorken_x(retval)
+ retval["By"] = GiBUUOutput.bjorken_y(retval)
+ return retval
+
def write_detector_file(gibuu_output,
ofile="gibuu.aanet.root",
@@ -269,7 +308,8 @@ def write_detector_file(gibuu_output,
ofile: str
Output filename
can: tuple
- The can dimensions which are used to distribute the events
+ The can dimensions which are used to distribute the events
+ (z_min, z_max, radius)
livetime: float
The data livetime
"""
@@ -277,17 +317,14 @@ def write_detector_file(gibuu_output,
aafile = ROOT.EventFile()
aafile.set_output(ofile)
- mc_event_id = 0
mc_trk_id = 0
- def add_particles(particle_data, pos_offset, rotation):
+ def add_particles(particle_data, pos_offset, rotation, start_mc_trk_id,
+ timestamp):
nonlocal aafile
- nonlocal mc_event_id
- nonlocal mc_trk_id
for i in range(len(particle_data.E)):
trk = ROOT.Trk()
- trk.id = mc_trk_id
- mc_trk_id += 1
+ trk.id = start_mc_trk_id + i
mom = np.array([
particle_data.Px[i], particle_data.Py[i], particle_data.Pz[i]
])
@@ -296,14 +333,16 @@ def write_detector_file(gibuu_output,
prtcl_pos = np.array([
particle_data.x[i], particle_data.y[i], particle_data.z[i]
])
+ prtcl_pos = rotation.apply(prtcl_pos)
trk.pos.set(*np.add(pos_offset, prtcl_pos))
+ trk.t = timestamp + particle_data.deltaT[i] * 1e9
except AttributeError:
trk.pos.set(*pos_offset)
+ trk.t = timestamp
trk.dir.set(*p_dir)
trk.mother_id = 0
trk.type = int(particle_data.barcode[i])
trk.E = particle_data.E[i]
- trk.t = timestamp
aafile.evt.mc_trks.push_back(trk)
is_cc = False
@@ -322,84 +361,95 @@ def write_detector_file(gibuu_output,
nu_type *= -1
sec_lep_type *= -1
- for ifile in gibuu_output.root_pert_files:
- fobj = uproot4.open(join(gibuu_output.data_path, ifile))
- event_data = fobj["RootTuple"].arrays()
- bjorkenx = GiBUUOutput.bjorken_x(event_data)
- bjorkeny = GiBUUOutput.bjorken_y(event_data)
-
- tau_secondaries = None
- if propagate_tau and abs(nu_type) == 16:
- from .propagation import propagate_lepton
- tau_secondaries = propagate_lepton(event_data,
- np.sign(nu_type) * 15)
-
- for i, event in enumerate(event_data):
- aafile.evt.clear()
- aafile.evt.id = mc_event_id
- aafile.evt.mc_run_id = mc_event_id
- mc_event_id += 1
- # Vertex Position
- r = can[2] * np.sqrt(np.random.uniform(0, 1))
- phi = np.random.uniform(0, 2 * np.pi)
- pos_x = r * np.cos(phi)
- pos_y = r * np.sin(phi)
- pos_z = np.random.uniform(can[0], can[1])
- vtx_pos = np.array([pos_x, pos_y, pos_z])
- # Direction
- phi = np.random.uniform(0, 2 * np.pi)
- cos_theta = np.random.uniform(-1, 1)
- sin_theta = np.sqrt(1 - cos_theta**2)
-
- dir_x = np.cos(phi) * sin_theta
- dir_y = np.sin(phi) * sin_theta
- dir_z = cos_theta
-
- direction = np.array([dir_x, dir_y, dir_z])
- theta = np.arccos(cos_theta)
- R = Rotation.from_euler("yz", [theta, phi])
-
- timestamp = np.random.uniform(0, livetime)
-
- nu_in_trk = ROOT.Trk()
- nu_in_trk.id = mc_trk_id
+ event_data = gibuu_output.arrays
+ bjorkenx = event_data.Bx
+ bjorkeny = event_data.By
+
+ tau_secondaries = None
+ if propagate_tau and abs(nu_type) == 16:
+ from .propagation import propagate_lepton
+ tau_secondaries = propagate_lepton(event_data, np.sign(nu_type) * 15)
+
+ media = read_default_media_compositions()
+ density = media["SeaWater"]["density"]
+ symbol = mendeleev.element(gibuu_output.Z).symbol
+ target = media["SeaWater"]["elements"][symbol]
+ target_density = 1e3 * density * target[1]
+ targets_per_volume = target_density * (1e3 * constants.Avogadro /
+ target[0].atomic_weight)
+
+ can_volume = np.pi * (can[1] - can[0]) * np.power(can[2], 2)
+ w2 = gibuu_output.w2weights(can_volume, targets_per_volume, 4 * np.pi)
+
+ for mc_event_id, event in enumerate(event_data):
+ aafile.evt.clear()
+ aafile.evt.id = mc_event_id
+ aafile.evt.mc_run_id = mc_event_id
+ # Weights
+ aafile.evt.w.push_back(can_volume) #w1 (can volume)
+ aafile.evt.w.push_back(w2[mc_event_id]) #w2
+ aafile.evt.w.push_back(-1.0) #w3 (= w2*flux)
+ # Vertex Position
+ r = can[2] * np.sqrt(np.random.uniform(0, 1))
+ phi = np.random.uniform(0, 2 * np.pi)
+ pos_x = r * np.cos(phi)
+ pos_y = r * np.sin(phi)
+ pos_z = np.random.uniform(can[0], can[1])
+ vtx_pos = np.array([pos_x, pos_y, pos_z])
+ # Direction
+ phi = np.random.uniform(0, 2 * np.pi)
+ cos_theta = np.random.uniform(-1, 1)
+ sin_theta = np.sqrt(1 - cos_theta**2)
+
+ dir_x = np.cos(phi) * sin_theta
+ dir_y = np.sin(phi) * sin_theta
+ dir_z = cos_theta
+
+ direction = np.array([dir_x, dir_y, dir_z])
+ theta = np.arccos(cos_theta)
+ R = Rotation.from_euler("yz", [theta, phi])
+
+ timestamp = np.random.uniform(0, livetime)
+
+ nu_in_trk = ROOT.Trk()
+ nu_in_trk.id = mc_trk_id
+ mc_trk_id += 1
+ nu_in_trk.mother_id = -1
+ nu_in_trk.type = nu_type
+ nu_in_trk.pos.set(*vtx_pos)
+ nu_in_trk.dir.set(*direction)
+ nu_in_trk.E = event.lepIn_E
+ nu_in_trk.t = timestamp
+
+ if not propagate_tau:
+ lep_out_trk = ROOT.Trk()
+ lep_out_trk.id = mc_trk_id
mc_trk_id += 1
- nu_in_trk.mother_id = -1
- nu_in_trk.type = nu_type
- nu_in_trk.pos.set(*vtx_pos)
- nu_in_trk.dir.set(*direction)
- nu_in_trk.E = event.lepIn_E
- nu_in_trk.t = timestamp
-
- if not propagate_tau:
- lep_out_trk = ROOT.Trk()
- lep_out_trk.id = mc_trk_id
- mc_trk_id += 1
- lep_out_trk.mother_id = 0
- lep_out_trk.type = sec_lep_type
- lep_out_trk.pos.set(*vtx_pos)
- mom = np.array(
- [event.lepOut_Px, event.lepOut_Py, event.lepOut_Pz])
- p_dir = R.apply(mom / np.linalg.norm(mom))
- lep_out_trk.dir.set(*p_dir)
- lep_out_trk.E = event.lepOut_E
- lep_out_trk.t = timestamp
- aafile.evt.mc_trks.push_back(lep_out_trk)
-
- # bjorken_y = 1.0 - float(event.lepOut_E / event.lepIn_E)
- nu_in_trk.setusr('bx', bjorkenx[i])
- nu_in_trk.setusr('by', bjorkeny[i])
- nu_in_trk.setusr('ichan', ichan)
- nu_in_trk.setusr("cc", is_cc)
-
- aafile.evt.mc_trks.push_back(nu_in_trk)
-
- if tau_secondaries is not None:
- event_tau_sec = tau_secondaries[i]
- add_particles(event_tau_sec, vtx_pos, R)
-
- add_particles(event, vtx_pos, R)
-
- aafile.write()
+ lep_out_trk.mother_id = 0
+ lep_out_trk.type = sec_lep_type
+ lep_out_trk.pos.set(*vtx_pos)
+ mom = np.array([event.lepOut_Px, event.lepOut_Py, event.lepOut_Pz])
+ p_dir = R.apply(mom / np.linalg.norm(mom))
+ lep_out_trk.dir.set(*p_dir)
+ lep_out_trk.E = event.lepOut_E
+ lep_out_trk.t = timestamp
+ aafile.evt.mc_trks.push_back(lep_out_trk)
+
+ # bjorken_y = 1.0 - float(event.lepOut_E / event.lepIn_E)
+ nu_in_trk.setusr('bx', bjorkenx[mc_event_id])
+ nu_in_trk.setusr('by', bjorkeny[mc_event_id])
+ nu_in_trk.setusr('ichan', ichan)
+ nu_in_trk.setusr("cc", is_cc)
+
+ aafile.evt.mc_trks.push_back(nu_in_trk)
+
+ if tau_secondaries is not None:
+ event_tau_sec = tau_secondaries[mc_event_id]
+ add_particles(event_tau_sec, vtx_pos, R, mc_trk_id, timestamp)
+ mc_trk_id += len(event_tau_sec.E)
+
+ add_particles(event, vtx_pos, R, mc_trk_id, timestamp)
+
+ aafile.write()
del aafile
diff --git a/km3buu/propagation.py b/km3buu/propagation.py
index d1d03e0b44c7e871320158967ad7fb930815872b..8c69262fd47c8757bca61d9b11ee7aff925c641b 100644
--- a/km3buu/propagation.py
+++ b/km3buu/propagation.py
@@ -83,6 +83,7 @@ def propagate_lepton(lepout_data, pdgid):
for entry in lepout_data:
lepton.energy = entry.lepOut_E * 1e3
+ lepton.position = pp.Vector3D(0, 0, 0)
lepton.direction = pp.Vector3D(entry.lepOut_Px, entry.lepOut_Py,
entry.lepOut_Pz)
lepton.direction.normalize()
@@ -90,12 +91,13 @@ def propagate_lepton(lepout_data, pdgid):
E = np.array(secondaries.energy) / 1e3
pdgid = [p.type for p in secondaries.particles]
- Px = [p.direction.x * p.momentum for p in secondaries.particles]
- Py = [p.direction.y * p.momentum for p in secondaries.particles]
- Pz = [p.direction.z * p.momentum for p in secondaries.particles]
- x = [p.position.x for p in secondaries.particles]
- y = [p.position.y for p in secondaries.particles]
- z = [p.position.z for p in secondaries.particles]
+ Px = [p.direction.x * p.momentum / 1e3 for p in secondaries.particles]
+ Py = [p.direction.y * p.momentum / 1e3 for p in secondaries.particles]
+ Pz = [p.direction.z * p.momentum / 1e3 for p in secondaries.particles]
+ x = [p.position.x / 100 for p in secondaries.particles]
+ y = [p.position.y / 100 for p in secondaries.particles]
+ z = [p.position.z / 100 for p in secondaries.particles]
+ dt = [p.time for p in secondaries.particles]
propagated_data["E"].append(E)
propagated_data["Px"].append(Px)
@@ -105,5 +107,6 @@ def propagate_lepton(lepout_data, pdgid):
propagated_data["x"].append(x)
propagated_data["y"].append(y)
propagated_data["z"].append(z)
+ propagated_data["deltaT"].append(dt)
return ak.Array(propagated_data)
diff --git a/km3buu/tests/test_propagation.py b/km3buu/tests/test_propagation.py
index c366864fd97ad8973d4e05dcb14febd5bae7db82..6689676b8b01bce6d3ab32a2f50037fbd945ccc8 100644
--- a/km3buu/tests/test_propagation.py
+++ b/km3buu/tests/test_propagation.py
@@ -40,17 +40,17 @@ class TestTauPropagation(unittest.TestCase):
def test_secondary_momenta(self):
np.testing.assert_array_almost_equal(np.array(self.sec[0].E),
- [0.5, 1.3, 0.3],
- decimal=1)
+ [0.535, 1.316, 0.331],
+ decimal=3)
np.testing.assert_array_almost_equal(np.array(self.sec[0].Px),
- [-467.4, 320.7, -245.5],
- decimal=1)
+ [-0.467, 0.321, -0.246],
+ decimal=3)
np.testing.assert_array_almost_equal(np.array(self.sec[0].Py),
- [127.2, -822.4, 217.5],
- decimal=1)
+ [0.127, -0.822, 0.218],
+ decimal=3)
np.testing.assert_array_almost_equal(np.array(self.sec[0].Pz),
- [179., 967.1, -41.1],
- decimal=1)
+ [0.179, 0.967, -0.041],
+ decimal=3)
def test_secondary_types(self):
np.testing.assert_array_equal(np.array(self.sec[0].barcode),