Dimensionality reduction and sensitivity improvement for TACTIC Cherenkov data using t-SNE machine learning algorithm

Author:

Das M.P.ORCID,Dhar V.K.,Verma S.ORCID,Yadav K.K.

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference35 articles.

1. Cerenkov Light Images of EAS Produced by Primary Gamma Rays and by Nuclei;Hillas,1985

2. Artificial neural network based γ-hadron segregation methodology for TACTIC telescope;Dhar;Nucl. Instrum. Methods Phys. Res. A,2013

3. Gamma/hadron separation in imaging air Cherenkov telescopes using deep learning libraries TensorFlow and Pytorch;Postnikov;J. Phys. Conf. Ser.,2019

4. The Galah survey: Classification and diagnostics with t-SNE reduction of spectral information;Traven;Astrophys. J. Suppl. Ser.,2017

5. Powerful t-SNE Technique Leading to Clear Separation of Type-2 AGN and H II Galaxies in BPT Diagrams;Zhang;Astrophys. J.,2020

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