Skip to content

PyCALI: A Bayesian Package for Intercalibrating Light Curves

Latest

Choose a tag to compare

@liyropt liyropt released this 17 Aug 01:44
· 13 commits to master since this release

PyCALI v0.2.4.
PyCALI applies additive and multiplicative factors to light curves to bring them into a common scale, by modelling the variability with a damped random walk process. Systematic error factors and error scale factors can also be incorporated.

This new version includes the recent updates since previous release.

Major updates: 1) add progress bar. 2) enable optget to work on MacOS. 3) remove cblas library.