Proceedings of 7th International Fermi Symposium — PoS(IFS2017) 2017
DOI: 10.22323/1.312.0130
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The Multi-Mission Maximum Likelihood framework (3ML)

Abstract: Astrophysical sources are now observed by many different instruments at different wavelengths, from radio to high-energy gamma-rays, with an unprecedented quality. Putting all these data together to form a coherent view, however, is a very difficult task. Each instrument has its own data format, software and analysis procedure, which are difficult to combine. It is for example very challenging to perform a broadband fit of the energy spectrum of the source. The Multi-Mission Maximum Likelihood framework (3ML) … Show more

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Cited by 40 publications
(44 citation statements)
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“…www.sciencemag.org Materials and Methods Figs. S1, S2 References (36)(37)(38)(39)(40)(41) [Note: The numbers refer to any additional references cited only within the Supplementary Materials]…”
Section: Supplementary Materialsmentioning
confidence: 99%
“…www.sciencemag.org Materials and Methods Figs. S1, S2 References (36)(37)(38)(39)(40)(41) [Note: The numbers refer to any additional references cited only within the Supplementary Materials]…”
Section: Supplementary Materialsmentioning
confidence: 99%
“…These constants are allowed to vary in each spectral fit 21 . All spectral analysis and data reduction is performed within the 3ML framework 35 . Our radiative code is implemented in C++ and interfaced via Cython into astromodels 36 .…”
Section: Observations and Data Analysismentioning
confidence: 99%
“…Figure 3 compares the radial profile as a function of the distance from the pulsar from three morphological models. We then fit the gamma-ray emission around Geminga and PSR B0656+14 with the diffusion model defined in equation 4.5 and 4.6 using the Multi-Mission Maximum Likelihood framework [16], and calculate the diffusion coefficient of 100 TeV electrons based on the obtained diffusion angle from the likelihood fit.…”
Section: Diffusion Modelmentioning
confidence: 99%