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Title: | Jets and Jet Substructure—A Mini Review |
Authors: | THALAPILLIL, ARUN M. Mohanty, Bedangadas Swain, Sanjay Kumar Singh, Ranbir Kashyap, Varchaswi K. S. Dept. of Physics |
Keywords: | Jets Jet substructure Collider physics Machine learning 2022 |
Issue Date: | Oct-2022 |
Publisher: | Springer Nature |
Citation: | Proceedings of the XXIV DAE-BRNS High Energy Physics Symposium, Jatni, India, 43–47. |
Abstract: | I briefly review some of the ideas behind jet finding strategies at colliders and extracting substructure information from them. The latter, over the past many years, have enabled us to extract crucial information in particle collisions and in characterizing potentially interesting events. Jet substructure techniques, often in tandem with newer approaches, remain at the forefront of our search for beyond Standard Model phenomena. I present a terse and subjective selection of topics, related to recent progress. |
URI: | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7754 https://doi.org/10.1007/978-981-19-2354-8_8 |
ISBN: | 9789811923531 9789811923548 |
Appears in Collections: | BOOK CHAPTERS |
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