A python3 package to create artificial blazar light curves with a predefined power spectral density (PSD) and probability density function (PDF).
The lcsim script uses the following standard python packages:
- copy
- math
The lcsim script uses the following python packages:
- numpy
- scipy
- statsmodels
The simdb script uses the following standard python packages:
- os
- sys
The simdb script uses the following python packages:
- numpy
- sqlite3
Get the python scripts:
$ git clone https://github.com/skiehl/lcsim.git
Open the jupyter notebook SimulationDemo.ipynb for a demonstation of the
code. Either use jupyter lab:
$ jupyter lab
Or jupyter notebook:
$ jupyter notebook SimulationDemo.ipynb
lcsim.py: The main module for simulating light curves.simdb.py: A SQLite3-based database backend to store simulations.run_lcsim.py: A wrapper script to run and save light curve simulations for multiple sources.
Usage of the package is demonstrated in the jupyter notebook
SimulationDemo.ipynb
Note: Documentation of the simdb.py module is not yet included.
A complete code documentation is given in html/.
Bibtex:
@MISC{2023ascl.soft10002K,
author = {{Kiehlmann}, Sebastian},
title = "{lcsim: Light curve simulation code}",
keywords = {Software},
howpublished = {Astrophysics Source Code Library, record ascl:2310.002},
year = 2023,
month = oct,
eid = {ascl:2310.002},
pages = {ascl:2310.002},
archivePrefix = {ascl},
eprint = {2310.002},
adsurl = {https://ui.adsabs.harvard.edu/abs/2023ascl.soft10002K},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
This software package is indexed on ASCL and ADS.
lcsim is licensed under the BSD 3-Clause License - see the LICENSE file.
Timmer&Koenig, 1995. Emmanoulopoulos et al., 2013.
At least on other python implementations of the Emmanoulopoulos+ method is available:
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