supernovae
There are 1 repository under supernovae topic.
astrocatalogs / OACAPI
Open Astronomy Catalog API
Language:Python 108- Language:Python 79
nikhil-sarin / redback
A software package for end-to-end modelling, fitting, and interpretation of electromagnetic transients via Bayesian Inference
Language:Python 63Astrocats module for the Open Supernova Catalog (OSC). Please use the issue tracker on this repo for all OSC issues.
Language:Python 53- Language:Jupyter Notebook 46
daniel-muthukrishna / astrodash
Deep learning for the automated spectral classification of supernovae
Language:Python 39hse-cs / fulu
Fulu is a python library of supernova light curves approximation methods based on machine learning.
Language:Jupyter Notebook 25artis-mcrt / artistools
Plotting and analysis tools for ARTIS simulations
Language:Python 14profjsb / timedomain-taxonomy
Open, versioned taxonomy for astronomical time-series sources
Language:Python 12- Language:Shell 12
- Language:Python 8
thomasvrussell / snail
SuperNova Artificial Inference by Lstm neural networks (SNAIL)
Language:Python 8valerio-marra / CalPriorSNIa
Effective calibration prior on the absolute magnitude of Type Ia supernovae
Language:Mathematica 7benstahl92 / deepSIP
Deep Learning of Supernova Ia Parameters
Language:Python 6- Language:Python 5
- Language:Python 5
transientlunatic / minke
A Python package to produce Mock Data Challenge data sets for LIGO interferometers.
Language:Jupyter Notebook 5- Language:Python 4
leon-astrophy / cumc3d
A CPU/GPU Accelerated Multi-dimensional Magnetohydrodynamics Code
Language:Fortran 4LSSTDESC / OpSimSummary
Package to interact with `LSST` `OpSim` outputs for simulations of Time Domain Astronomy objects.
Language:Jupyter Notebook 4pikarpov-LANL / COLLAPSO1D
Embedding 3D Turbulence into 1D Core-Collapse Supernovae with ML
Language:Fortran 4- Language:Jupyter Notebook 4
koppj / mm-astro-nu
Magnetic moments of astrophysical neutrino (supernova and ultra high-energy neutrinos)
Language:Jupyter Notebook 3- Language:Python 2
Spectral feature measurements for SN Ia
Language:Python 2Fabrizio-Cogato / A-late-Universe-approach
Main tools and results from arxiv:
Language:Python 2- Language:Jupyter Notebook 2
Jonathanfreundlich / DTD_MCMC
Constraining the delay time distribution of Type-Ia supernovae in clusters with a MCMC Bayesian method and the spectral-population synthesis code Pégase.3.
Language:Jupyter Notebook 2lucaslattari / supernova-classifier
Repositório do projeto apresentado no vídeo "Classificando Supernovas com Rede Neural! (Machine Learning e Astronomia 2)" do canal Universo Discreto
Language:Jupyter Notebook 2- Language:Python 2
ofek-b / spectra_in_time
Exploring the diversity of SNe by their flux function through time and wavelength.
Language:HTML 2george-hummus / SALTnPEPPER
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.
Language:Python 1SinclaM / sneparse
🌌 Parse supernovae records (from the Open Astronomy Catalog, Transient Name Server, etc.) into Postgresql databases prepared for fast cross-matching
Language:Python 1sPaMFouR / HostBSGSNe
Investigation of host environments of BSG SNe
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
williamjouse / LCDM
We analyze the LambdaCDM model using the scipy.integrate.cumtrapz, scipy.integrate.quad, and F2py implementations.
Language:Fortran 1
