mkounkel

Pinned Repositories

apogeesb2
Examine CCFs in the APOGEE apstar files to search for double lined spectroscopic binaries
Language:Python50
Auriga
A neural network for predicting population parameters
Language:Python20
astrometric_binaries
Fits orbits of astrometric binaries in the absolute coordinate reference frame.
Language:Jupyter Notebook20
Sagitta
Sagitta is a deep neural network based python3 pipeline that relies on Gaia DR2 and 2MASS photometry to identify pre-main sequence (PMS) stars and derive their age estimates.
Language:Python20
EclBin
Language:Jupyter Notebook20
SEDFit
Performs SED fit to the spectrum of a star or a multiple system given its broadband photometry
Language:Python20
isochrones
Pythonic stellar model grid access; easy MCMC fitting of stellar properties
Language:Jupyter Notebook01
lineforest
Language:PureBasic00
pyxcsao
Replicates functionality of IRAF XCSAO
Language:Python00
fullcalendar
Full-sized drag & drop event calendar in JavaScript
Language:TypeScript18.3k3.6k

mkounkel's Repositories

mkounkel/SEDFit
Performs SED fit to the spectrum of a star or a multiple system given its broadband photometry
Language:Python2
mkounkel/Auriga
A neural network for predicting population parameters
Language:Python2
mkounkel/lineforest
Language:PureBasic
mkounkel/apogeesb2
Examine CCFs in the APOGEE apstar files to search for double lined spectroscopic binaries
Language:Python5
mkounkel/pyxcsao
Replicates functionality of IRAF XCSAO
Language:Python
mkounkel/astrometric_binaries
Fits orbits of astrometric binaries in the absolute coordinate reference frame.
Language:Jupyter Notebook2
mkounkel/EclBin
Language:Jupyter Notebook2
mkounkel/isochrones
Pythonic stellar model grid access; easy MCMC fitting of stellar properties
Language:Jupyter Notebook1