Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

The CMS collaboration

doi:10.1088/1748-0221/18/11/P11017

Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

The CMS collaboration

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Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.

Original language	English
Article number	P11017
Journal	Journal of Instrumentation
Volume	11
DOIs	https://doi.org/10.1088/1748-0221/18/11/P11017
State	Published - 1 Nov 2023
Externally published	Yes

Keywords

Calorimeters
Data reduction methods

Access to Document

10.1088/1748-0221/18/11/P11017

Cite this

@article{047f3830ff114910a2fe664cca2e135e,

title = "Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data",

abstract = "A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.",

keywords = "Calorimeters, Data reduction methods",

author = "\{The CMS collaboration\} and A. Tumasyan and W. Adam and Andrejkovic, \{J. W.\} and T. Bergauer and S. Chatterjee and K. Damanakis and M. Dragicevic and \{Escalante Del Valle\}, A. and Hussain, \{P. S.\} and M. Jeitler and N. Krammer and L. Lechner and D. Liko and I. Mikulec and P. Paulitsch and J. Schieck and R. Sch{\"o}fbeck and D. Schwarz and M. Sonawane and S. Templ and W. Waltenberger and Wulz, \{C. E.\} and Darwish, \{M. R.\} and T. Janssen and T. Kello and \{Van Mechelen\}, P. and Bols, \{E. S.\} and J. D{\textquoteright}Hondt and \{De Moor\}, A. and M. Delcourt and \{El Faham\}, H. and S. Lowette and A. Morton and D. M{\"u}ller and Sahasransu, \{A. R.\} and S. Tavernier and \{Van Doninck\}, W. and \{Van Putte\}, S. and D. Vannerom and B. Clerbaux and S. Dansana and \{De Lentdecker\}, G. and L. Favart and D. Hohov and J. Jaramillo and K. Lee and M. Mahdavikhorrami and I. Makarenko and A. Malara and S. Paredes",

note = "Publisher Copyright: {\textcopyright} 2023 CERN for the benefit of the CMS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.",

year = "2023",

month = nov,

day = "1",

doi = "10.1088/1748-0221/18/11/P11017",

language = "Ingl{\'e}s",

volume = "11",

journal = "Journal of Instrumentation",

issn = "1748-0221",

publisher = "Institute of Physics",

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TY - JOUR

T1 - Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

AU - The CMS collaboration

AU - Tumasyan, A.

AU - Adam, W.

AU - Andrejkovic, J. W.

AU - Bergauer, T.

AU - Chatterjee, S.

AU - Damanakis, K.

AU - Dragicevic, M.

AU - Escalante Del Valle, A.

AU - Hussain, P. S.

AU - Jeitler, M.

AU - Krammer, N.

AU - Lechner, L.

AU - Liko, D.

AU - Mikulec, I.

AU - Paulitsch, P.

AU - Schieck, J.

AU - Schöfbeck, R.

AU - Schwarz, D.

AU - Sonawane, M.

AU - Templ, S.

AU - Waltenberger, W.

AU - Wulz, C. E.

AU - Darwish, M. R.

AU - Janssen, T.

AU - Kello, T.

AU - Van Mechelen, P.

AU - Bols, E. S.

AU - D’Hondt, J.

AU - De Moor, A.

AU - Delcourt, M.

AU - El Faham, H.

AU - Lowette, S.

AU - Morton, A.

AU - Müller, D.

AU - Sahasransu, A. R.

AU - Tavernier, S.

AU - Van Doninck, W.

AU - Van Putte, S.

AU - Vannerom, D.

AU - Clerbaux, B.

AU - Dansana, S.

AU - De Lentdecker, G.

AU - Favart, L.

AU - Hohov, D.

AU - Jaramillo, J.

AU - Lee, K.

AU - Mahdavikhorrami, M.

AU - Makarenko, I.

AU - Malara, A.

AU - Paredes, S.

N1 - Publisher Copyright: © 2023 CERN for the benefit of the CMS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

PY - 2023/11/1

Y1 - 2023/11/1

N2 - A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.

AB - A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.

KW - Calorimeters

KW - Data reduction methods

UR - https://www.scopus.com/pages/publications/85182444219

U2 - 10.1088/1748-0221/18/11/P11017

DO - 10.1088/1748-0221/18/11/P11017

M3 - Artículo

AN - SCOPUS:85182444219

SN - 1748-0221

VL - 11

JO - Journal of Instrumentation

JF - Journal of Instrumentation

M1 - P11017

ER -

Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

Abstract

Keywords

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