dc.contributor.author |
CMS Collaboration |
en_US |
dc.contributor.author |
Sirunyan, A. M. |
en_US |
dc.contributor.author |
DUBE, SOURABH |
en_US |
dc.contributor.author |
KANSAL, B. |
en_US |
dc.contributor.author |
KAPOOR, A. |
en_US |
dc.contributor.author |
KOTHEKAR, K. |
en_US |
dc.contributor.author |
PANDEY, S. |
en_US |
dc.contributor.author |
RANE, A. |
en_US |
dc.contributor.author |
RASTOGI, A. |
en_US |
dc.contributor.author |
SHARMA, SEEMA et al. |
en_US |
dc.date.accessioned |
2020-07-24T05:59:05Z |
|
dc.date.available |
2020-07-24T05:59:05Z |
|
dc.date.issued |
2020-06 |
en_US |
dc.identifier.citation |
Journal of Instrumentation, 15(6). |
en_US |
dc.identifier.issn |
1748-0221 |
en_US |
dc.identifier.uri |
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/4896 |
|
dc.identifier.uri |
https://doi.org/10.1088/1748-0221/15/06/P06005 |
en_US |
dc.description.abstract |
Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. The identification performances of a variety of algorithms are characterized in simulated events and directly compared with data. The algorithms are validated using proton-proton collision data at √s = 13TeV, corresponding to an integrated luminosity of 35.9 fb−1. Systematic uncertainties are assessed by comparing the results obtained using simulation and collision data. The new techniques studied in this paper provide significant performance improvements over non-ML techniques, reducing the background rate by up to an order of magnitude at the same signal efficiency. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IOP Publishing |
en_US |
dc.subject |
CMS |
en_US |
dc.subject |
Physics |
en_US |
dc.subject |
TOC-JUL-2020 |
en_US |
dc.subject |
2020 |
en_US |
dc.subject |
2020-JUL-WEEK4 |
en_US |
dc.title |
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques |
en_US |
dc.type |
Article |
en_US |
dc.contributor.department |
Dept. of Physics |
en_US |
dc.identifier.sourcetitle |
Journal of Instrumentation |
en_US |
dc.publication.originofpublisher |
Foreign |
en_US |