1 / 4

Analysis of Candidate Neutrino Sources Based on Gamma Ray Observations and Astrophysical Models

This study presents an analysis of 40 selected sources from the IC40 candidate list, focusing on gamma ray observations and astrophysical models that predict neutrino emissions. It incorporates historically proposed neutrino emitters and examines sources, like RXJ 1713.7, where leptonic processes are likely the acceleration mechanism. Careful consideration is given to potential biases in sample selection, ensuring the total number of sources remains below 100 to address significance issues. This is the first attempt at combining these samples, differing from previous analyses which utilized varying data samples.

jon
Télécharger la présentation

Analysis of Candidate Neutrino Sources Based on Gamma Ray Observations and Astrophysical Models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Around 40 sources are selected in the candidate list (IC40 Analysis) on the basis of observation in gamma rays or astrophysical model that predicts neutrino emission • Include sources that for years have been proposed as possible neutrino emitters • Include some for what it’s almost sure that leptonic process is the acceleration mechanism (RXJ 1713.7 for instance) • Take care about possible bias when combining samples • Number of sources should be below 100 to avoid trials problems on significance • The extra flux required to achieve a stricter p-value is not a linear with the number of sources in the list

  2. First time they try to combine samples In the past different candidate list were used, but the corresponding analysis used different data-samples

  3. IC40 : 39 source selected for a candidate list search

  4. Thesis: http://w3.iihe.ac.be/Publications/Thesis/labare.pdf 26 sources in the Analysis using 2000-06 data

More Related