University of Cambridge > Talks.cam > Inference Group > A Bayesian Unfolding Method Applied to the PAMELA Experiment

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

A Bayesian Unfolding Method Applied to the PAMELA Experiment

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact David MacKay.

PAMELA is a satellite-borne experiment that is going to study cosmic rays in a wide energy range and for a very long period (approx. 3 yrs), with an unprecedented precision. Its main scientific objectives are the indirect study of possible dark matter candidates and the search for antiparticles coming directly from antimatter domains.

These scientific tasks require a good spectrum reconstruction and particle separation in order to appreciate weak signals over a strong background (e.g positrons over protons) that could be hints for the phenomena PAMELA is going to look for. For inference problems like these, we think the Bayesian statistics (or “probabilistic approach”) offers a better tool than standard statistics, both conceptually and practically.

We present some results, based on Montecarlo simulations, that shows how we applied an unfolding algorithm (D’Agostini 1995) to reconstruct a positrons spectrum over a stronger protons background. We used only observables of a subset of PAMELA ’s, obtaining good results anyway. We show also how we solved some practical problems we faced with during our work.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Sustainability Talks Kuwait Foundation Lectures Semantics Lunch (Computer Laboratory)

Other talks

Mechanistic model development to characterise drug effects on platelets over time in pharmaceutical research. Cambridge - Corporate Finance Theory Symposium September 2018 - Day 2 Designing Active Macroscopic Heat Engines Sacred Mountains as Flood Refuge Sites in Northwest North America Making Refuge: Academics at Risk Neurodevelopment disorders of genetic origin – what can we learn?
 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity