Code to produce simulated lightcurves based on PASTIS
This project was abandoned; please see htttps://github.com/exord/pastisML-tess instead.
The package uses the PASTIS package (not public yet; sorry!)
The PASTIS code is available on request, and the main paper describing it is:
@ARTICLE{pastis,
author = {{D{\'\i}az}, R.~F. and {Almenara}, J.~M. and {Santerne}, A. and
{Moutou}, C. and {Lethuillier}, A. and {Deleuil}, M.},
title = "{PASTIS: Bayesian extrasolar planet validation - I. General framework, models, and performance}",
journal = {\mnras},
keywords = {methods: statistical, techniques: photometric, techniques: radial velocities, planetary systems, Astrophysics - Earth and Planetary Astrophysics},
year = "2014",
month = "Jun",
volume = {441},
number = {2},
pages = {983-1004},
doi = {10.1093/mnras/stu601},
archivePrefix = {arXiv},
eprint = {1403.6725},
primaryClass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2014MNRAS.441..983D},
}
The main file is simulator.py, which can be run from a terminal as a stand alone script (but requires access to the pastisML sub-package) or from inside a running python3.
The code reads a configuration file with a format that depends on the astrophysical scneario that is being modelled. Some examples are shown in the inputs/ folder. Most global parameters are in the simuldict dictionary, at the top of these files. Then, details on the physical model are provided (more details soon!).
Then, the code is run
$ python3 PATH_TO_SCRIPT/simulator.py PATH_TO_CONFIG
The resulting light curves are stored in the the file lcdir, under a subdirectory with the current date. Currently, one tab-separated file is produced for each light curve being produced, and the scenario label scenario is appended to the file names.