Primary vertex time reconstruction using the LHCb ring-imaging Cherenkov detectors

The introduction of picosecond time information in the LHCb ringimaging Cherenkov (RICH) detectors during LHC Run 4 will allow the primary vertex time (PV t0) to be estimated using only RICH detector information. The presented method can be integrated into the RICH reconstruction algorithm to determine the PV t0. This PV t0 is a necessary input for the application of a time gate around the predicted photon time-of-arrival for each track, which reduces out-of-time photon background from other tracks and improves particle identification (PID) performance. In the RICH reconstruction, each photon object (PO), which is a possible association of a photon detector hit to a particle track, has a PV assigned to it. However, only a fraction of POs is correct and the resolution of the RICH PV t0 strongly depends on the fraction of correct POs for the PV, called the PV purity. To improve the PV purity while maintaining sufficient photon statistics, two PO selection criteria are introduced: the PO signal amplitude and the selection of POs uniquely associated with a pixel hit. The resulting increase in PV purity is 34 % for each selection criteria, while maintaining more than 20 POs for 98 % and 95 % of the PVs in the sample for the first and second selection respectively.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701178/pdf
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Primary vertex time reconstruction using the LHCb ring-imaging Cherenkov detectors

F. Keizer, L. Malentacca
Springer Link (Chiba Institute of Technology)
Radiation Detection and Scintillator Technologies
article

Primary vertex time reconstruction using the LHCb ring-imaging Cherenkov detectors

F. Keizer, L. Malentacca
article en

Abstract

The introduction of picosecond time information in the LHCb ringimaging Cherenkov (RICH) detectors during LHC Run 4 will allow the primary vertex time (PV t0) to be estimated using only RICH detector information. The presented method can be integrated into the RICH reconstruction algorithm to determine the PV t0. This PV t0 is a necessary input for the application of a time gate around the predicted photon time-of-arrival for each track, which reduces out-of-time photon background from other tracks and improves particle identification (PID) performance. In the RICH reconstruction, each photon object (PO), which is a possible association of a photon detector hit to a particle track, has a PV assigned to it. However, only a fraction of POs is correct and the resolution of the RICH PV t0 strongly depends on the fraction of correct POs for the PV, called the PV purity. To improve the PV purity while maintaining sufficient photon statistics, two PO selection criteria are introduced: the PO signal amplitude and the selection of POs uniquely associated with a pixel hit. The resulting increase in PV purity is 34 % for each selection criteria, while maintaining more than 20 POs for 98 % and 95 % of the PVs in the sample for the first and second selection respectively.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 27%
Radiation Detection and Scintillator Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Primary vertex time reconstruction using the LHCb ring-imaging Cherenkov detectors — F. Keizer, L. Malentacca · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS