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Gamma ray spectra dep #2793

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1 change: 1 addition & 0 deletions .mailmap
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ Atharwa Kharkar <atharwa.kharkar19@vit.edu> atharwa_24 <atharwa.kharkar19@vit.ed
Atul Kumar <kr.atul.atk@gmail.com>

Anirban Dutta <anirbaniamdutta@gmail.com>
Anirban Dutta <duttaan2@msu.edu>
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Change mailmap!


Barnabás Barna <bbarna@titan.physx.u-szeged.hu>

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5 changes: 5 additions & 0 deletions tardis/energy_input/GXPacket.py
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@
("status", int64),
("shell", int64),
("time_current", float64),
("positron_energy", float64),
("tau", float64),
]

Expand All @@ -53,6 +54,7 @@
status,
shell,
time_current,
positron_energy,
):
self.location = location
self.direction = direction
Expand All @@ -64,6 +66,7 @@
self.shell = shell
self.time_current = time_current
# TODO: rename to tau_event
self.positron_energy = positron_energy

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self.tau = -np.log(np.random.random())

def get_location_r(self):
Expand Down Expand Up @@ -95,6 +98,7 @@
status,
shell,
time_current,
positron_energy,
):
self.location = location
self.direction = direction
Expand All @@ -106,6 +110,7 @@
self.shell = shell
self.time_current = time_current
self.number_of_packets = len(self.energy_rf)
self.positron_energy = positron_energy

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self.tau = -np.log(np.random.random(self.number_of_packets))


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70 changes: 22 additions & 48 deletions tardis/energy_input/gamma_packet_loop.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,6 @@
import numpy as np
from numba import njit

from tardis.energy_input.gamma_ray_estimators import deposition_estimator_kasen
from tardis.energy_input.gamma_ray_grid import (
distance_trace,
move_packet,
Expand Down Expand Up @@ -38,17 +37,16 @@
pair_creation_opacity_type,
electron_number_density_time,
mass_density_time,
inv_volume_time,
iron_group_fraction_per_shell,
inner_velocities,
outer_velocities,
times,
dt_array,
times,
effective_time_array,
energy_bins,
energy_df_rows,
energy_plot_df_rows,
energy_out,
energy_deposited_gamma,
energy_deposited_positron,
packets_info_array,
):
"""Propagates packets through the simulation
Expand Down Expand Up @@ -103,21 +101,23 @@
escaped_packets = 0
scattered_packets = 0
packet_count = len(packets)
# Logging does not work with numba
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Remove the "print statement".

print("Entering gamma ray loop for " + str(packet_count) + " packets")

deposition_estimator = np.zeros_like(energy_df_rows)

for i in range(packet_count):
packet = packets[i]
time_index = get_index(packet.time_current, times)
energy_deposited_positron[

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packet.shell, time_index
] += packet.positron_energy

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Set positron energy to zero here now that it has been deposited?

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Alternatively, remove and calculate separately.

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i.e. instead of in this loop, use the dataframe and sum all the positron energy per shell per time step and use those to fill out this array

if time_index < 0:
print(packet.time_current, time_index)
raise ValueError("Packet time index less than 0!")

scattered = False

initial_energy = packet.energy_cmf
# Not used now. Useful for the deposition estimator.
# initial_energy = packet.energy_cmf

while packet.status == GXPacketStatus.IN_PROCESS:
# Get delta-time value for this step
Expand Down Expand Up @@ -214,17 +214,6 @@

packet = move_packet(packet, distance)

deposition_estimator[packet.shell, time_index] += (
(initial_energy * 1000)
* distance
* (packet.energy_cmf / initial_energy)
* deposition_estimator_kasen(
comoving_energy,
mass_density_time[packet.shell, time_index],
iron_group_fraction_per_shell[packet.shell],
)
)

if distance == distance_time:
time_index += 1

Expand All @@ -246,26 +235,9 @@

packet, ejecta_energy_gained = process_packet_path(packet)

# Save packets to dataframe rows
# convert KeV to eV / s / cm^3
energy_df_rows[packet.shell, time_index] += (
ejecta_energy_gained * 1000
)

energy_plot_df_rows[i] = np.array(
[
i,
ejecta_energy_gained * 1000
# * inv_volume_time[packet.shell, time_index]
/ dt,
packet.get_location_r(),
packet.time_current,
packet.shell,
compton_opacity,
photoabsorption_opacity,
pair_creation_opacity,
]
)
energy_deposited_gamma[

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packet.shell, time_index
] += ejecta_energy_gained

if packet.status == GXPacketStatus.PHOTOABSORPTION:
# Packet destroyed, go to the next packet
Expand All @@ -279,14 +251,18 @@

if packet.shell > len(mass_density_time[:, 0]) - 1:
rest_energy = packet.nu_rf * H_CGS_KEV
lum_rf = (packet.energy_rf * 1.6022e-9) / dt
bin_index = get_index(rest_energy, energy_bins)
bin_width = (
energy_bins[bin_index + 1] - energy_bins[bin_index]
)
energy_out[bin_index, time_index] += rest_energy / (
bin_width * dt
freq_bin_width = bin_width / H_CGS_KEV
energy_out[bin_index, time_index] += (

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packet.energy_rf
/ dt
/ freq_bin_width # Take light crossing time into account
)

luminosity = packet.energy_rf / dt

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packet.status = GXPacketStatus.ESCAPED
escaped_packets += 1
if scattered:
Expand All @@ -303,7 +279,7 @@
packet.nu_cmf,
packet.nu_rf,
packet.energy_cmf,
lum_rf,
luminosity,
packet.energy_rf,
packet.shell,
]
Expand All @@ -313,12 +289,10 @@
print("Scattered packets:", scattered_packets)

return (
energy_df_rows,
energy_plot_df_rows,
energy_out,
deposition_estimator,
bin_width,
packets_info_array,
energy_deposited_gamma,
energy_deposited_positron,
)


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93 changes: 91 additions & 2 deletions tardis/energy_input/gamma_ray_channel.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
import radioactivedecay as rd

from tardis.energy_input.util import KEV2ERG
from tardis.model.matter.decay import IsotopicMassFraction

logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
Expand Down Expand Up @@ -83,10 +84,10 @@
cumulative_decay_df : pd.DataFrame
total decays for x g of isotope for time 't'
"""
time_delta = u.Quantity(time_delta, u.s)
time_delta = u.Quantity(time_delta, u.d)
total_decays = {}
for shell, inventory in inventories.items():
total_decays[shell] = inventory.cumulative_decays(time_delta.value)
total_decays[shell] = inventory.cumulative_decays(time_delta.value, "d")

flattened_dict = {}

Expand Down Expand Up @@ -167,3 +168,91 @@
)

return isotope_decay_df


def time_evolve_mass_fraction(raw_isotope_mass_fraction, time_array):
"""
Function to evolve the mass fraction of isotopes with time.

Parameters
----------
raw_isotope_mass_fraction : pd.DataFrame
isotope mass fraction in mass fractions.
time_array : np.array
array of time in days.

Returns
-------
time_evolved_isotope_mass_fraction : pd.DataFrame
time evolved mass fraction of isotopes.
"""

initial_isotope_mass_fraction = raw_isotope_mass_fraction
isotope_mass_fraction_list = []

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for time in time_array:

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decayed_isotope_mass_fraction = IsotopicMassFraction(

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initial_isotope_mass_fraction
).decay(time)
isotope_mass_fraction_list.append(decayed_isotope_mass_fraction)
initial_isotope_mass_fraction = decayed_isotope_mass_fraction

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time_evolved_isotope_mass_fraction = pd.concat(

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isotope_mass_fraction_list, keys=time_array, names=["time"]
)

return time_evolved_isotope_mass_fraction

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def time_evolve_cumulative_decay(
raw_isotope_mass_fraction, shell_masses, gamma_ray_lines, time_array
):
"""
Function to calculate the total decays for each isotope for each shell at each time step.

Parameters
----------
raw_isotope_mass_fraction : pd.DataFrame
isotope abundance in mass fractions.
shell_masses : numpy.ndarray
shell masses in units of g
gamma_ray_lines : pd.DataFrame
gamma ray lines from nndc stored as a pandas dataframe.
time_array : numpy.ndarray
array of time steps in days.

Returns
-------
time_evolve_decay_df : pd.DataFrame
dataframe of isotopes for each shell with their decay mode, number of decays, radiation type,
radiation energy and radiation intensity at each time step.

"""

isotope_decay_df_list = []
initial_isotope_mass_fraction = raw_isotope_mass_fraction

dt = np.diff(time_array)
# Do not append dataframes to empty lists
for time in dt:
#
isotope_dict = create_isotope_dicts(
initial_isotope_mass_fraction, shell_masses
)
inventories = create_inventories_dict(isotope_dict)
total_decays = calculate_total_decays(inventories, time)
isotope_df_time = create_isotope_decay_df(total_decays, gamma_ray_lines)
isotope_decay_df_list.append(isotope_df_time)

decayed_isotope_mass_fraction = IsotopicMassFraction(
initial_isotope_mass_fraction
).decay(time)

initial_isotope_mass_fraction = decayed_isotope_mass_fraction

time_evolved_decay_df = pd.concat(
isotope_decay_df_list, keys=time_array, names=["time"]
)

return time_evolved_decay_df
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