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Quickstart for TARDIS¶
Every simulation run requires atomic data and a configuration file.
Atomic Data¶
We recommend using the kurucz_cd23_chianti_H_He_latest.h5 dataset.
[1]:
from tardis.io.atom_data import download_atom_data
[2]:
download_atom_data('kurucz_cd23_chianti_H_He_latest')
Atomic Data kurucz_cd23_chianti_H_He_latest already exists in /home/runner/Downloads/tardis-data/kurucz_cd23_chianti_H_He_latest.h5. Will not download - override with force_download=True.
You can also obtain a copy of the atomic data from the tardis-regression-data repository.
Example Configuration File¶
The configuration file tardis_example.yml is used throughout this Quickstart.
[3]:
!wget -q -nc https://raw.githubusercontent.com/tardis-sn/tardis/master/docs/tardis_example.yml
[4]:
!cat tardis_example.yml
# Example YAML configuration for TARDIS
tardis_config_version: v1.0
supernova:
luminosity_requested: 9.44 log_lsun
time_explosion: 13 day
atom_data: kurucz_cd23_chianti_H_He_latest.h5
model:
structure:
type: specific
velocity:
start: 1.1e4 km/s
stop: 20000 km/s
num: 20
density:
type: branch85_w7
abundances:
type: uniform
O: 0.19
Mg: 0.03
Si: 0.52
S: 0.19
Ar: 0.04
Ca: 0.03
plasma:
disable_electron_scattering: no
ionization: lte
excitation: lte
radiative_rates_type: dilute-blackbody
line_interaction_type: macroatom
montecarlo:
seed: 23111963
no_of_packets: 4.0e+4
iterations: 20
nthreads: 1
last_no_of_packets: 1.e+5
no_of_virtual_packets: 10
convergence_strategy:
type: damped
damping_constant: 1.0
threshold: 0.05
fraction: 0.8
hold_iterations: 3
t_inner:
damping_constant: 0.5
spectrum:
start: 500 angstrom
stop: 20000 angstrom
num: 10000
Running the Simulation¶
To run the simulation, import the run_tardis
function and create the sim
object.
[5]:
from tardis import run_tardis
Note:
Get more information about the progress bars, logging configuration, and convergence plots.
[6]:
sim = run_tardis("tardis_example.yml",
virtual_packet_logging=True,
show_convergence_plots=True,
export_convergence_plots=True,
log_level="INFO")
Auto-detected Jupyter notebook environment
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Auto-detected Jupyter notebook environment
Initializing panel with ipywidgets comms for Jupyter notebook
Initializing tabulator and plotly panel extensions for widgets to work
Embedding the final state for Jupyter environments
Plotting the Spectrum¶
Finally, plot the generated spectrum with matplotlib
.
[7]:
import matplotlib.pyplot as plt
[8]:
spectrum = sim.spectrum_solver.spectrum_real_packets
spectrum_virtual = sim.spectrum_solver.spectrum_virtual_packets
spectrum_integrated = sim.spectrum_solver.spectrum_integrated
[9]:
%matplotlib inline
plt.figure(figsize=(10, 6.5))
spectrum.plot(label="Normal packets")
spectrum_virtual.plot(label="Virtual packets")
spectrum_integrated.plot(label='Formal integral')
plt.xlim(500, 9000)
plt.title("TARDIS example model spectrum")
plt.xlabel(r"Wavelength [$\AA$]")
plt.ylabel(r"Luminosity density [erg/s/$\AA$]")
plt.legend()
plt.show()
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