Sep 12 – 16, 2016
Europe/Zurich timezone
There is a live webcast for this event.

A novel statistical test for dark matter induced dark matter sources

Sep 14, 2016, 2:00 PM
500/1-201 - Mezzanine (CERN)

500/1-201 - Mezzanine


Show room on map
Poster Contributions Gamma-ray astrophysics Poster Session (coffee at 15:00) & CERN Visit


Sara Algeri (Imperial College London)


The firm establishment of gamma-ray sources of dark matter is often impeded by source confusion. Conventional astrophysical sources can mimic hypothetical dark matter sources, manifested in unidentified sources in the Fermi-LAT catalogues or in the GC excess. In statistical terms, the question of whether a sources is dark matter or conventional astrophsyics is an example of a non-standard hypothesis test where the usual chi-squared approximations do not apply because the hypotheses are not nested. We can reformulate the problem in a way that allows us to leverage methods developed to handle so called trial factors and obtain asymptotically valid frequentist tests. We illustrate the proposed method in a series of numerical studies that validate its power and false positive rate.

Primary author

Sara Algeri (Imperial College London)


Prof. Jan Conrad (Stokcholm University)

Presentation materials

There are no materials yet.