EmpiriciSN: Re-sampling Observed Supernova/Host Galaxy Populations using an XD Gaussian Mixture Model

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Holoien, Thomas W. -S.; Marshall, Philip J.; Wechsler, Risa H.;

(2016)

Related identifiers: doi: 10.3847/1538-3881/aa68a1
Subject: Astrophysics - Instrumentation and Methods for Astrophysics

We describe two new open source tools written in Python for performing extreme deconvolution Gaussian mixture modeling (XDGMM) and using a conditioned model to re-sample observed supernova and host galaxy populations. XDGMM is new program for using Gaussian mixtures to ... View more

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Related Research Results (7)

Inferred by OpenAIRE

software Sncosmo V0.4.2 (2014)	73%
software Tholoien/Xdgmm: Initial Release (2016)	73%
software Tholoien/Empiricisn: Initial Release (2016)	73%
software extreme-deconvolution software on GitHub in support of 'Characterization and Photometric Performance of the Hyper Suprime-Cam Software Pipeline'	72%
software Twinkles software on GitHub	72%
software empiriciSN software on GitHub	72%
software XDGMM software on GitHub in support of 'EmpiriciSN: Re-sampling Observed Supernova/Host Galaxy Populations using an XD Gaussian Mixture Model'	72%

Related Organizations (7)

SLAC National Accelerator Laboratory	90%
Stanford University ( SU ) United States Website url: http://www.stanford.edu/	90%
SLAC National Accelerator Laboratory	90%
SLAC National Accelerator Laboratory United States	90%
Stanford University	90%
STANFORD UNIVERSITY	90%
THE OHIO STATE UNIVERSITY	90%

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