Robert Lauer (University of New Mexico)
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) aim to solve this issue, providing a common framework which allows for a coherent modeling of sources using all the available data, no matter their origin. At the same time, thanks to its architecture based on plug-ins, 3ML uses the existing official software of each instrument for the corresponding data in a way which is transparent to the user. 3ML is based on the likelihood formalism, in which a model summarizing our knowledge about a particular region of the sky is convolved with the instrument response and compared to the corresponding data. The user can choose between a frequentist analysis, and a Bayesian analysis. In the former, parameters of the model are optimized in order to obtain the best match to the data (i.e., the maximum of the likelihood). In the latter, the priors specified by the user will be used to build the posterior distribution, which will be then sampled with Markov Chain Monte Carlo or Multinest. Our implementation of this idea is very flexible, allowing the study of point sources as well as extended sources with arbitrary spectra. We will review the architecture of the software, as well as preliminary results based on the plug-ins already developed for the Fermi Gamma-ray space telescope and other instruments.
|Registration number following "ICRC2015-I/"||257|
|Collaboration||-- not specified --|
Giacomo Vianello (urn:Google)
C. Michelle Hui (Michigan Technological University) Hao Zhou (Michigan Technological University) Hugo Ayala (Michigan Technological University) J. Patrick Harding (Los Alamos National Laboratory) J.Michael Burgess (Stockholm University) Luigi Tibaldo (SLAC) Nicola Omodei (Stanford University, CA, USA) Patrick Younk (Los Alamos National Laboratory) Robert Lauer (University of New Mexico)