StarPy: Quenched star formation history parameters of a galaxy using MCMC

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Ada Coda
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StarPy: Quenched star formation history parameters of a galaxy using MCMC

Post by Ada Coda » Fri Sep 02, 2016 9:27 am

StarPy: Quenched star formation history parameters of a galaxy using MCMC

Abstract: StarPy derives the quenching star formation history (SFH) of a single galaxy through the Bayesian Markov Chain Monte Carlo method code <i>emcee</i> (ascl:1303.002). The sample function implements the emcee EnsembleSampler function for the galaxy colors input. Burn-in is run and calculated for the length specified before the sampler is reset and then run for the length of steps specified. StarPy provides the ability to use the look-up tables provided or creating your own.

Credit: Smethurst, R. J.; Lintott, C. J.; Simmons, B. D.; Schawinski, K.; Marshall, P. J.; Bamford, S.; Fortson, L.; Kaviraj, S.; Masters, K. L.; Melvin, T.; Nichol, R. C.; Skibba, R. A.; Willett, K. W.

Site: https://github.com/zooniverse/starpy
https://ui.adsabs.harvard.edu/abs/2015MNRAS.450..435S

Bibcode: 2016ascl.soft09002S

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2015MNRAS.450..435S and acknowledgement: This work has made use of the StarPy star formation history Python code described in Smethurst et al. (2015).

ID: ascl:1609.002
Last edited by Ada Coda on Wed Oct 21, 2020 11:06 am, edited 1 time in total.
Reason: Updated code entry.

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