2024-04-23 15:29 |
b-hive: a modular training framework for state-of-the-art object-tagging within the Python ecosystem at the CMS experiment
/CMS Collaboration
In high-energy physics (HEP), neural-network (NN) based algorithms have found many applications, such as quark-flavor identification of jets in experiments like the Compact Muon Solenoid (CMS) at the Large Hadron Collider (LHC) at CERN. Unfortunately, complete training pipelines often encounter application-specific obstacles like the processing of many, large files of HEP data format such as ROOT, the data provisioning to the model, and a correct evaluation of performance.
We have developed a framework called "b-hive" that combines state-of-the-art tools for HEP data processing and training in a Python-based ecosystem. [...]
CMS-DP-2024-020; CERN-CMS-DP-2024-020.-
Geneva : CERN, 2024 - 18 p.
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2024-04-16 18:04 |
NNPuppiTaus: PUPPI tau reconstruction in the Level-1 trigger with real-time machine learning
/CMS Collaboration
The future LHC High-Luminosity upgrade amplifies the proton collision rate by a factor of about
5-7, posing challenges for physics object reconstruction and identification including the tau
leptons. Detecting taus at the CMS Level-1 (L1) trigger enables many important physics
analyses in the experiment. [...]
CMS-DP-2024-018; CERN-CMS-DP-2024-018.-
Geneva : CERN, 2024 - 14 p.
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2024-03-21 13:45 |
Efficiency of multijet triggers using b-tagging and electron+HT/jet triggers in 2022 and 2023
/CMS Collaboration
This note presents Level-1 Trigger + High-Level Trigger efficiencies for some of the dedicated trigger algorithms used for top-physics analyses in CMS. The triggers considered here include (a) hadronic triggers selecting events based on the scalar sum of jet transverse momenta, jet multiplicity and jet b-tagging discriminants (HT+multijet+Btag triggers), and (b) triggers selecting events with an electron produced in association with hadronic jets (electron+HT/jet triggers). [...]
CMS-DP-2024-016; CERN-CMS-DP-2024-016.-
Geneva : CERN, 2024 - 14 p.
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2024-03-13 09:06 |
Data compression via partial online processing in CMS: experience in heavy ions and prospects
/CMS Collaboration
As the LHC starts to deliver higher luminosities of proton-proton and heavy-ion collisions, the size of raw event data output begins to be a limiting factor in the number of events that can be recorded. Due to the large number of channels, the original silicon strip tracker (SST) data format, which stores the per-silicon-strip ADC counts, is the largest component of the CMS raw-data size. [...]
CMS-DP-2024-007; CERN-CMS-DP-2024-007.-
Geneva : CERN, 2023 - 11 p.
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2024-03-11 11:19 |
Luminosity calibration of 2017 XeXe collisions at 5.44 TeV
/CMS Collaboration
In this note, we present the luminosity calibration for the CMS experiment during the
Xenon-Xenon collisions that occurred in the year 2017 at a nucleon-nucleon center-of-mass
energy of 5.44 TeV and also the cross-luminometer consistency. This calibration is based on the
analysis of data recorded by three sub-detectors: the Pixel Luminosity Telescope (PLT), the Fast
Beam Conditions Monitor (BCM1F), and the forward hadron calorimeter (HFOC).
The calibration constant (visible cross-section) is determined through the utilization of emittance
scan (a vdM-like scan) data, where the sub-detectors' rates are measured as a function of beam
separation [...]
CMS-DP-2024-015; CERN-CMS-DP-2024-015.-
Geneva : CERN, 2024 - 7 p.
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2024-03-04 16:54 |
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2024-03-04 16:54 |
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2024-02-26 17:49 |
Evolution of the High-Level Trigger output rates of the CMS experiment from 2012 to 2023
/CMS Collaboration
This note presents a plot of the average High-Level Trigger (HLT) output rates for one Fill of every CMS data-taking year of proton-proton (pp) collisions from 2012 to 2023. The corresponding average instantaneous luminosity delivered during the Fill is shown as well..
CMS-DP-2024-012; CERN-CMS-DP-2024-012.-
Geneva : CERN, 2024 - 6 p.
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2024-02-26 17:49 |
Displaced tracking and vertexing calibration using neutral K mesons
/CMS Collaboration
This note presents a study of the modeling accuracy of displaced tracking and vertexing. We consider the displaced decays of neutral K mesons to oppositely charged pions as a function of the radial displacement of the decay vertex with respect to the primary vertex in the event. [...]
CMS-DP-2024-010; CERN-CMS-DP-2024-010.-
Geneva : CERN, 2024 - 16 p.
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2024-02-26 17:49 |
PPS Performance: first evaluation of the two-arm vertex resolution with timing detectors in 2023
/CMS Collaboration
The Precision Proton Spectrometer (PPS) is a forward-proton spectrometer using near-beam detectors
(inside Roman Pots, RPs) located symmetrically on both sides of IP5 at a distance of about 220 m.
In addition to the tracking system, the timing detectors measure the Time-Of-Flight
(TOF) of the protons produced in central exclusive interactions.
In 2023, one cylindrical and one box RPs on each sector were equipped with Diamond sensors: the
TOF system consisted of four and three double-diamond planes, respectively.
This note describes the resolution of the timing system in two-arm events, where both interacting
protons are detected by the PPS detectors. Using low pileup data
($\mu$ = interactions/crossing = 1) and selecting central diffractive events a strong correlation is observed
between the time difference of the protons detected in PPS, and the longitudinal vertex position
reconstructed in the central CMS tracker..
CMS-DP-2024-009; CERN-CMS-DP-2024-009.-
Geneva : CERN, 2024 - 11 p.
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