Secondary cascades in the TAXN absorber produce a substantial millicharged particle flux that complements primary production and boosts FORMOSA signals by ~50% for m_χ below 0.1 GeV.
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The average muon detection efficiency of 137 CMS GE1/1 triple-GEM chambers was measured at 93.3% using 2023 collision data, with defect-free chambers reaching ~96%, confirming readiness for HL-LHC operation.
Silvaco and Synopsys TCAD yield closely matching leakage current, depletion voltage, bulk electric fields and trap ionisation profiles for Perugia-model irradiated n-on-p diodes at HL-LHC fluences.
Reviews precision timing integration in LHC upgrades and discusses a possible shift to triggerless detectors enabled by timing and networking, with reflections on physics benefits.
This paper overviews the LHCb Stripping framework's Python-based architecture, GitLab workflows, automation, and roadmap for processing both legacy and new high-energy physics data.
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A New Source of Millicharged Particles: Secondary Showers in the LHC Forward Absorber
Secondary cascades in the TAXN absorber produce a substantial millicharged particle flux that complements primary production and boosts FORMOSA signals by ~50% for m_χ below 0.1 GeV.
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Efficiency measurements of GEM GE1/1 chambers in the upgraded CMS Endcap Muon System using 2023 collision data at $\sqrt{s}=13.6$ TeV
The average muon detection efficiency of 137 CMS GE1/1 triple-GEM chambers was measured at 93.3% using 2023 collision data, with defect-free chambers reaching ~96%, confirming readiness for HL-LHC operation.
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Comparison of Silvaco and Synopsys TCAD Predictions Including the Perugia Radiation Damage Model in Silicon Pixel Detectors for the HL-LHC
Silvaco and Synopsys TCAD yield closely matching leakage current, depletion voltage, bulk electric fields and trap ionisation profiles for Perugia-model irradiated n-on-p diodes at HL-LHC fluences.
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Towards triggerless four-dimensional detectors for High Energy Physics collider experiments
Reviews precision timing integration in LHC upgrades and discusses a possible shift to triggerless detectors enabled by timing and networking, with reflections on physics benefits.
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The LHCb Stripping Project: Sustainable Legacy Data Processing for High-Energy Physics
This paper overviews the LHCb Stripping framework's Python-based architecture, GitLab workflows, automation, and roadmap for processing both legacy and new high-energy physics data.