# Talk - Multi-mission maximum likelihood analysis with 3ML

* Presenter: [Luigi Tibaldo](https://github.com/tibaldo)
* Duration: 12 + 3 min

## Abstract

[3ML](https://threeml.stanford.edu)

## Outline

TODO: Summarize what is covered in bullet points
(this is to help us assemble the program for the workshop)

* ...
* Science cases - why multi-mission analyses?
* Frequentist and Bayesian analysis?
* 3ML software overview
* ...
* What can we work on this week?

## References

TODO: add some references to web pages or papers with further info

# Talk - Multi-mission maximum likelihood analysis with 3ML

* Presenter: [Luigi Tibaldo](https://github.com/tibaldo)
* Duration: 12 + 3 min

## Abstract

The Multi-Mission Maximum Likelihood
[3ML](https://threeml.stanford.edu) project aims at providing a common
framework for joint analysis of sources combining data from different
instruments in a statistically consistent fashion. 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 relevant data. The innovative
architecture of 3ML employs plugins to handle the instrument-specific
part of the analysis based on the existing/official software for each
instrument. 3ML provides a variety of models for the spectrum and
morphology of the sources, and tools for likelihood analysis based on
either likelihood optimization or Bayesian sampling.

## Outline

* Motivations: why multi-mission analyses?
* Approaches: instrument response deconvolution versus model forward folding
* 3ML concept overview (plugins, models, analysis)
* frequentist versus Bayesian analysis 
* status of the 3ML software
* demo: analysis of a point source with Fermi and ...
* What can we work on this week?

## References

For more information see the [ICRC 2015 proceedings](http://arxiv.org/abs/1507.08343)

Add threeml talk description (commit for @tibaldo)
Add threeml talk description (commit for @tibaldo)
