Python library for supernova cosmology
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Updated
May 14, 2024 - Python
Python library for supernova cosmology
Modular Open Source Fitter for Transients
Astrocats module for the Open Supernova Catalog (OSC). Please use the issue tracker on this repo for all OSC issues.
A Bayesian inference software package for end-to-end fitting and interpretation of electromagnetic transients
Deep learning for the automated spectral classification of supernovae
Package to interact with `LSST` `OpSim` outputs for simulations of Time Domain Astronomy objects.
Open Astronomy Catalog API
Elementary Supernova Spectrum Synthesis
Open, versioned taxonomy for astronomical time-series sources
Effective calibration prior on the absolute magnitude of Type Ia supernovae
Clustering code to for triggering at DUNE. Credit for some of this work should also go to Alex Booth from univeristy of Sussex
Plotting and analysis tools for ARTIS simulations
Supernova light-curve fitting code
Repositório do projeto apresentado no vídeo "Classificando Supernovas com Rede Neural! (Machine Learning e Astronomia 2)" do canal Universo Discreto
Deep Learning of Supernova Ia Parameters
Fulu is a python library of supernova light curves approximation methods based on machine learning.
A Python package to produce Mock Data Challenge data sets for LIGO interferometers.
Two supernova remnant profiles after the model of Chevalier 1982
Spectral feature measurements for SN Ia
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