Python library for supernova cosmology
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Updated
May 14, 2024 - Python
Python library for supernova cosmology
A Bayesian inference software package for end-to-end fitting and interpretation of electromagnetic transients
Astrocats module for the Open Supernova Catalog (OSC). Please use the issue tracker on this repo for all OSC issues.
Deep learning for the automated spectral classification of supernovae
Open Astronomy Catalog API
Open, versioned taxonomy for astronomical time-series sources
Plotting and analysis tools for ARTIS simulations
Supernova light-curve fitting code
Deep Learning of Supernova Ia Parameters
Spectral feature measurements for SN Ia
SuperNova Artificial Inference by Lstm neural networks (SNAIL)
Perform dust analysis and observability of light echoes
Main tools and results from arxiv:
Plotting distance modulus from the luminosity distance vs. redshfit
The repository for YSPA team 1 (Memoriae Keo) ⭐
Deep learning for the automated spectral classification of supernovae
An automated pipeline to identify interesting transients from the Transient Name Server (TNS) and request observations of them with the Liverpool Telescope and its MOPTOP instrument for the PEPPER Survey.
🌌 Parse supernovae records (from the Open Astronomy Catalog, Transient Name Server, etc.) into Postgresql databases prepared for fast cross-matching
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