dc.contributor.author |
THALAPILLIL, ARUN M. |
|
dc.contributor.editor |
Mohanty, Bedangadas |
|
dc.contributor.editor |
Swain, Sanjay Kumar |
|
dc.contributor.editor |
Singh, Ranbir |
|
dc.contributor.editor |
Kashyap, Varchaswi K. S. |
|
dc.date.accessioned |
2023-04-26T09:20:02Z |
|
dc.date.available |
2023-04-26T09:20:02Z |
|
dc.date.issued |
2022-10 |
|
dc.identifier.citation |
Proceedings of the XXIV DAE-BRNS High Energy Physics Symposium, Jatni, India, 43–47. |
en_US |
dc.identifier.isbn |
9789811923531 |
|
dc.identifier.isbn |
9789811923548 |
|
dc.identifier.uri |
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7754 |
|
dc.identifier.uri |
https://doi.org/10.1007/978-981-19-2354-8_8 |
|
dc.description.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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer Nature |
en_US |
dc.subject |
Jets |
en_US |
dc.subject |
Jet substructure |
en_US |
dc.subject |
Collider physics |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
2022 |
|
dc.title |
Jets and Jet Substructure—A Mini Review |
en_US |
dc.type |
Book Chapter |
en_US |
dc.contributor.department |
Dept. of Physics |
en_US |
dc.title.book |
Proceedings of the XXIV DAE-BRNS High Energy Physics Symposium, Jatni, India |
en_US |
dc.identifier.doi |
https://doi.org/10.1007/978-981-19-2354-8_8 |
en_US |
dc.identifier.sourcetitle |
Proceedings of the XXIV DAE-BRNS High Energy Physics Symposium, Jatni, India |
en_US |
dc.publication.originofpublisher |
Foreign |
en_US |