3ML: Framework for multi-wavelength/multi-messenger analysis

ThreeML is supported by National Science Foundation (NSF) https://www.nsf.gov/

FYI:
https://heasarc.gsfc.nasa.gov/xanadu/xspec/

https://ui.adsabs.harvard.edu/abs/2015arXiv150708343V/abstract

https://arxiv.org/pdf/1507.08343

#space #code #python #bsd3 #fermi #xspec #hawc #science #astronomy

3ML: Framework for multi-wavelength/multi-messenger analysis

The Multi-Mission Maximum Likelihood framework (3ML) provides a common high-level interface and model definition for coherent and intuitive modeling of sources using all the available data, no matter their origin. Astrophysical sources are observed by different instruments at different wavelengths with an unprecedented quality, and each instrument and data type has its own ad-hoc software and handling procedure. 3ML's architecture is based on plug-ins; the package uses the official software of each instrument under the hood, thus guaranteeing that 3ML is always using the best possible methodology to deal with the data of each instrument. Though Maximum Likelihood is in the name for historical reasons, 3ML is an interface to several Bayesian inference algorithms such as MCMC and nested sampling as well as likelihood optimization algorithms.

https://github.com/threeML/threeML
https://ui.adsabs.harvard.edu/abs/2015arXiv150708343V/abstract
https://github.com/threeML/threeML/blob/master/LICENSE
https://news.stanford.edu/stories/2017/12/software-advances-modeling-astronomical-observations

#code #python #bsd3 #fermi #xspec #hawc #science #astronomy