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The Multi-Mission Maximum Likelihood Framework threeML: Multi-wavelength Astronomy in Practice

Authors :
Henrike Fleischhack
J Michael Burgess
Niccolo Di Lalla
Nicola Omodei
Publication Year :
2020
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2020.

Abstract

The Multi-Mission Maximum Likelihood framework (threeML)is a flexi-ble python-based framework for multiwavelength data analysis in astronomy. ThreeMLallows joint likelihood fits of data recorded by many different instruments, from radio to gamma rays. This is achieved by encapsulating data access into instrument-specific plugins, leaving the rest of the analysis agnostic of the data format. In this paper, I out-line threeML’s design and major components, with a focus on the modeling language(astromodels) and the data-access plugins

Subjects

Subjects :
Astronomy

Details

Language :
English
Database :
NASA Technical Reports
Notes :
80GSFC20D0001
Publication Type :
Report
Accession number :
edsnas.20205009690
Document Type :
Report