Optimal use of timing measurement in vertex reconstruction at CMS

The MIP Timing Detector (MTD) is a novel component of the CMS experiment, currently under construction as part of the upgrade program to prepare for the High Luminosity era of the LHC (HL-LHC). The MTD will provide precise time information for charged particles and will play an important role in the mitigation of the high pileup expected in HL-LHC. The timing will be used to disentangle vertices that cannot be distinguished spatially, thus reducing the vertex cross-contamination and the effects of pileup on the physics observables used for any data analysis. This contribution presents the recent developments in the vertex reconstruction with the use of timing, which feature a reduction in the vertex CPU-time by 30% with respect to the previous algorithm without loss in performance. Moreover, it introduces a new set of tools useful to evaluate the behaviour of different reconstruction algorithms in terms of time resolution, number of reconstructed vertices and pileup rejection, which can serve as a benchmark for future developments in the field.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701235/pdf
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
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article

Optimal use of timing measurement in vertex reconstruction at CMS

Noemi Palmeri, Fabio Cossutti, Ksenia de Leo, Raffaele Delli Gatti et al.
Springer Link (Chiba Institute of Technology)
Particle Detector Development and Performance
article

Optimal use of timing measurement in vertex reconstruction at CMS

Noemi Palmeri, Fabio Cossutti, Ksenia de Leo, Raffaele Delli Gatti, Marino Missiroli, Wolfram Erdmann, Martina Malberti
article en

Abstract

The MIP Timing Detector (MTD) is a novel component of the CMS experiment, currently under construction as part of the upgrade program to prepare for the High Luminosity era of the LHC (HL-LHC). The MTD will provide precise time information for charged particles and will play an important role in the mitigation of the high pileup expected in HL-LHC. The timing will be used to disentangle vertices that cannot be distinguished spatially, thus reducing the vertex cross-contamination and the effects of pileup on the physics observables used for any data analysis. This contribution presents the recent developments in the vertex reconstruction with the use of timing, which feature a reduction in the vertex CPU-time by 30% with respect to the previous algorithm without loss in performance. Moreover, it introduces a new set of tools useful to evaluate the behaviour of different reconstruction algorithms in terms of time resolution, number of reconstructed vertices and pileup rejection, which can serve as a benchmark for future developments in the field.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 19%
Particle Detector Development and Performance
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