Bagpipes: Bayesian Analysis of Galaxies for Physical Inference and Parameter EStimation

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Ada Coda
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Bagpipes: Bayesian Analysis of Galaxies for Physical Inference and Parameter EStimation

Post by Ada Coda » Thu Apr 29, 2021 3:43 pm

Bagpipes: Bayesian Analysis of Galaxies for Physical Inference and Parameter EStimation

Abstract: Bagpipes generates realistic model galaxy spectra and fits these to spectroscopic and photometric observations.

Credit: Carnall, A. C.; McLure, R. J.; Dunlop, J. S.; Davé, R.

Site: https://bagpipes.readthedocs.io/en/latest/
https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.4379C

Bibcode: 2021ascl.soft04017C

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.4379C

ID: ascl:2104.017
Last edited by Ada Coda on Mon May 03, 2021 1:18 am, edited 1 time in total.
Reason: Updated code entry.

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