/lightcurvefinder

Implementation of the Witt (1993) method to compute gravitational microlensing light curves for an ensemble of point masses with shear

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

lightcurvefinder

python implementation of the Witt (1993) technique to compute gravitational microlensing light curves for an ensemble of point masses with shear.

Copyright 2020 Robert W. Schmidt rschmidthd at gmail.com

The magnification curve estimation routine iso_magnification() is an extension of causticfinder-py which can be found at https://github.com/rschmidthd/causticfinder-py

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Instructions: The jupyter notebook will produce a track image, a caustic pattern (with track overlaid) and a light curve (point source). You can change settings in the first cell.

For detailed information about the technique, see https://ui.adsabs.harvard.edu/abs/1993ApJ...403..530W