The techniques to classify the HAWC showers events

by Dr Tomás Capistrán Rojas (University of Namibia)

Friday 30 Sept 2022, 10:00 → 11:00 Asia/Shanghai

TDLI

Abstract

One of the main issue of the High-Altitude Water Cherenkov (HAWC) observatory is the fraction of the charge particles detected that represent almost 99.9% of the total particles arriving on Earth. So HAWC has to apply a technique to remove the most hadron-induced shower and keep the most gamma-induced shower on the gamma-ray analysis. In this work, we describe the official techniques to recognize the gamma events from hadron events and two new implementations using the most popular machine learning techniques: boosted decision tree and neural networks. Three astrophysical sources are used to compare all these techniques.

Biography

February 2013, Engineering in communications and electronics at IPN 

December 2014, Master of Science in astrophysics at INAOE 

September 2020, PhD of Science in astrophysics at INAOE

Now, Postdoc at Astronomy department at UNAM

Chair

Hao Zhou

Division

Astronomy and Astrophysics

Other information

Place: N630

Tencent Meeting link:  https://meeting.tencent.com/dm/WftiVEgvlhtN

Meeting ID:  715-584-771