most citedGamma/hadron segregation for a ground based imaging atmospheric Cherenkov telescope using machine learning methods: Random Forest leads

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.IM2014★ 10 cited

Gamma/hadron segregation for a ground based imaging atmospheric Cherenkov telescope using machine learning methods: Random Forest leads

Mradul Sharma, J. Nayak, M. K. Koul +2

A detailed case study of -hadron segregation for a ground based atmospheric Cherenkov telescope is presented. We have evaluated and compared various supervised machine learning…