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The Multi-Mission Maximum Likelihood Framework threeML: Multi-wavelength Astronomy in PracticeThe 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
Document ID
20205009690
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Henrike Fleischhack
(Catholic University of America Washington D.C., District of Columbia, United States)
J Michael Burgess
(Max Planck Institute for Extraterrestrial Physics Garching bei München, Germany)
Niccolo Di Lalla
(Stanford University Stanford, California, United States)
Nicola Omodei
(Stanford University Stanford, California, United States)
Date Acquired
November 4, 2020
Publication Date
November 1, 2020
Publication Information
URL: https://adass2020.es/
Subject Category
Astronomy
Meeting Information
Meeting: 30th Annual Astronomical Data Analysis Software & Systems Conference (ADASS)
Location: Virtual
Country: ES
Start Date: November 8, 2020
End Date: November 12, 2020
Sponsors: Association of Universities For Research In Astronomy
Funding Number(s)
CONTRACT_GRANT: 80GSFC20D0001
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
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