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CMS Detector Performance Summaries

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2023-09-25
16:32
Binning high-dimensional classifier output for HEP analyses through a clustering algorithm /CMS Collaboration
The usage of Deep Neural Networks (DNNs) as multi-classifiers is widespread in modern HEP analyses. In standard categorisation methods, the high-dimensional output of the DNN is often reduced to a one-dimensional distribution by exclusively passing the information about the highest class score to the statistical inference method. [...]
CMS-DP-2023-074; CERN-CMS-DP-2023-074.- Geneva : CERN, 2023 - 15 p. Fulltext: PDF;

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2023-09-18
15:00
Luminometer linearity study with 2023 BSRT fill data and dedicated beam-beam corrections /CMS Collaboration
Preliminary results from the analysis of the LHC fill 8778 in 2023. Nine bunches with different emittances are scanned using the vdM method and dedicated beam corrections. [...]
CMS-DP-2023-073; CERN-CMS-DP-2023-073.- Geneva : CERN, 2023 - 5 p. Fulltext: PDF;

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2023-09-18
15:00
Jet energy scale and resolution measurements using data scouting events collected by the CMS experiment in 2022 at $\sqrt{s}$ = 13.6 TeV /CMS Collaboration
The performance of the data scouting strategy used by the CMS experiment in Run--3, is studied by analysing the proton-proton collision dataset, having centre of mass energy of 13.6 TeV with a total integrated luminosity of 34 fb$^{-1}$ in 2022. The Jet Energy Scale (JES) and Jet Energy Resolution (JER) of the data scouting jets are measured for jets reconstructed offline using as input the scouting PF candidates that were reconstructed online during data taking, and are compared with their counterparts for fully offline reconstructed jets. [...]
CMS-DP-2023-072; CERN-CMS-DP-2023-072.- Geneva : CERN, 2023 - 13 p. Fulltext: PDF;

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2023-09-18
15:00
Signal-agnostic Optimization of Normalized Autoencoders for Model Independent Searches /CMS Collaboration
A particularly interesting application of autoencoders (AE) for HEP is their use as anomaly detection (AD) algorithms to perform a signal-agnostic search for new physics. This is achieved by training the AE on Standard Model physics and tagging potential signal events as anomalies. [...]
CMS-DP-2023-071; CERN-CMS-DP-2023-071.- Geneva : CERN, 2023 - 23 p. Fulltext: PDF;

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2023-09-04
16:23
Dimuon scouting at CMS /CMS Collaboration
Data scouting is a paradigm for data analysis at CMS based on trigger-level object reconstruction. The online objects reconstructed by the High-Level Trigger are then stored directly to disk to be used in physics analyses. [...]
CMS-DP-2023-070; CERN-CMS-DP-2023-070.- Geneva : CERN, 2023 - 12 p. Fulltext: PDF;

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2023-08-29
12:01
Jet Tagging with the Boosted Event Shape Tagger at CMS /CMS Collaboration
This note presents performance results of an improved version of the Boosted Event Shape Tagger (BEST) designed for use on Ultra-Legacy Run-2 data from the CMS experiment. These plots show some example input features of the tagger, as well as its performance in simulation..
CMS-DP-2023-065; CERN-CMS-DP-2023-065.- Geneva : CERN, 2023 - 21 p. Fulltext: PDF;

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2023-08-29
10:12
Fraction of read-out VFAT3 chips in CMS GE1/1 Muon Chambers in 2022 and 2023 /CMS Collaboration
The Gas Electron Multiplier (GEM) subdetector system was installed in the first muon station of the endcap region within CMS prior to the start of Run 3 at the LHC. It has been recording proton-proton (pp) collision and cosmic ray muon data since July 2022. [...]
CMS-DP-2023-069; CERN-CMS-DP-2023-069.- Geneva : CERN, 2023 - 4 p. Fulltext: PDF;

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2023-08-29
10:12
Muon Background Studies - Run 3 vs Run2 Data /CMS Collaboration
A comparison between the RPC rates obtained with Run 3 and Run 2 data is presented. The plots relate to DP notes DP-2023/059 and DP-2022/023..
CMS-DP-2023-068; CERN-CMS-DP-2023-068.- Geneva : CERN, 2023 - 4 p. Fulltext: PDF;

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2023-08-29
10:11
RPC Detector Performance Plots with early 2022 Data /CMS Collaboration
RPC detector performance plots with early 2022 data are presented. The plots are dedicated for the RPC 2022 conference..
CMS-DP-2023-067; CERN-CMS-DP-2023-067.- Geneva : CERN, 2023 - 19 p. Fulltext: PDF;

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2023-08-29
10:11
Reconstructing the invariant mass of ultra-heavy resonances decaying to vector-like quark pairs in the fully-hadronic final state /CMS Collaboration
A new technique is introduced that uses event geometry, and multiple rounds of jet boosting and reclustering to reconstruct the daughter masses of fully-hadronic vector-like quark (VLQ) pair decays. Plots showing the performance of this technique on a diquark to VLQ pair model are shown..
CMS-DP-2023-066; CERN-CMS-DP-2023-066.- Geneva : CERN, 2023 - 10 p. Fulltext: PDF;

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