IMAGINE: Interstellar MAGnetic field INference Engine

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Ada Coda
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IMAGINE: Interstellar MAGnetic field INference Engine

Post by Ada Coda » Tue Mar 27, 2018 7:30 pm

IMAGINE: Interstellar MAGnetic field INference Engine

Abstract: IMAGINE (Interstellar MAGnetic field INference Engine) performs inference on generic parametric models of the Galaxy. The modular open source framework uses highly optimized tools and technology such as the MultiNest sampler (ascl:1109.006) and the information field theory framework NIFTy (ascl:1302.013) to create an instance of the Milky Way based on a set of parameters for physical observables, using Bayesian statistics to judge the mismatch between measured data and model prediction. The flexibility of the IMAGINE framework allows for simple refitting for newly available data sets and makes state-of-the-art Bayesian methods easily accessible particularly for random components of the Galactic magnetic field.

Credit: Steininger, Theo

Site: https://gitlab.mpcdf.mpg.de/ift/IMAGINE
https://ui.adsabs.harvard.edu/abs/2018arXiv180104341S

Bibcode: 2018ascl.soft03007S

ID: ascl:1803.007
Last edited by Ada Coda on Mon Dec 28, 2020 5:09 am, edited 1 time in total.
Reason: Updated code entry.

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