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The Multi-Mission Maximum Likelihood Framework threeML: Multi-wavelength Astronomy in Practice
- Publication Year :
- 2020
- Publisher :
- United States: NASA Center for Aerospace Information (CASI), 2020.
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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 :
- Astronomy
Subjects
Details
- Language :
- English
- Database :
- NASA Technical Reports
- Notes :
- 80GSFC20D0001
- Publication Type :
- Report
- Accession number :
- edsnas.20205009690
- Document Type :
- Report