Firstly, incorporates variational inference method as presented in Uzsoy+2024 (to be submitted), allowing for faster light curve fitting. Also includes miscellaneous bug fixes, and adds new functions for fitting light curves within a Python script/Jupyter notebook.
0.3.2
Combination of updates for compatibility with SNANA and minor bug fixes
What's Changed * Added option to specify wavelength units for filter responses if not … by mattgrayling in https://github.com/bayesn/bayesn/pull/17 * Updates for SNANA integration by mattgrayling in https://github.com/bayesn/bayesn/pull/18
Minor bug fixes from code version at time of paper release. Removed deprecated reference to default_flow_style when saving yaml file and switched from linspace to arange in simulate_spectrum method to resolve issue 14.
0.3.0
Release of BayeSN as of time of release of Grayling et al. 2024 presenting the numpyro code implementation. Supports model training, fitting and dust inference although full integration/compatibility with SNANA is not yet completed.
0.2.1alpha
Updated yaml reading/saving using ruamel.yaml for compatibility with most recent package version