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2025-02-21
04:54
Study of MALTA2, a Depleted Monolithic Active Pixel Sensor, with grazing angles at CERN SPS 180 GeV/c hadron beam / Li, L. (Birmingham U.) ; Allport, P. (Birmingham U.) ; Asensi Tortajada, I. (CERN) ; Behera, P. (Indian Inst. Tech., Madras) ; Berlea, D.V. (DESY, Zeuthen ; Humboldt U., Berlin) ; Bortoletto, D. (Oxford U.) ; Buttar, C. (Glasgow U.) ; Dao, V. (CERN) ; Dash, G. (Indian Inst. Tech., Madras) ; Fasselt, L. (DESY, Zeuthen ; Humboldt U., Berlin) et al.
MALTA2 is a Depleted Monolithic Active Pixel Sensor designed to meet the challenging requirements of future collider experiments, in particularly extreme radiation tolerance and high hit rate. [...]
arXiv:2502.13590. - 6.
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2025-02-21
04:49
Signal shape studies and rate dependence of HFO-based gas mixtures in RPC detectors / RPC ECOGas@GIF++ Collaboration
The RPCs employed at the LHC experiments are currently operated in avalanche mode, with a mixture containing a large fraction of C$_{2}$H$_{2}$F$_{4}$ ($\approx$90% or more) with the addition of i-C$_{4}$H$_{10}$ and SF$_{6}$ in different concentrations. [...]
arXiv:2502.02374. - 6.
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2025-02-21
04:44
Characterization Of MOSS For The ALICE ITS3 For The LHC Run 4 / Terlizzi, Livia (INFN, Turin)
ALICE, one of the four main CERN LHC experiments, studies heavy-ion collisions at ultra-relativistic energies. [...]
arXiv:2502.13591. -
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2025-02-21
04:44
Operation and performance of the ALICE Muon IDentifier RPCs during LHC Run3 / Terlizzi, Livia (INFN, Turin)
ALICE, which stands for A Large Ion Collider Experiment, is designed to study hadronic collisions at ultrarelativistic energies at the LHC. [...]
arXiv:2502.13602. -
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2025-02-21
04:41
Timing characterization of MALTA and MALTA2 pixel detectors using Micro X-ray source / Dash, G. (Indian Inst. Tech., Madras) ; Allport, P. (Birmingham U.) ; Asensi Tortajada, I. (CERN) ; Behera, P. (Indian Inst. Tech., Madras) ; Berlea, D.V. (DESY, Zeuthen) ; Bortoletto, D. (Oxford U.) ; Buttar, C. (Glasgow U.) ; Dao, V. (CERN) ; Fasselt, L. (DESY, Zeuthen) ; de Acedo, L. Flores Sanz (CERN) et al.
The MALTA monolithic active pixel detector is developed to address the challenges anticipated in future high-energy physics detectors. [...]
arXiv:2502.13330. - 14.
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2025-02-20
04:03
Contrastive Learning for Robust Representations of Neutrino Data / Wilkinson, Alex (University Coll. London ; Warwick U.) ; Radev, Radi (CERN ; Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland) ; Alonso-Monsalve, Saúl (Zurich, ETH)
In neutrino physics, analyses often depend on large simulated datasets, making it essential for models to generalise effectively to real-world detector data. [...]
arXiv:2502.07724. - 9.
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2025-02-19
04:19
First Search for Dark Sector $e^+e^-$ Explanations of the MiniBooNE Anomaly at MicroBooNE / MicroBooNE Collaboration
We present MicroBooNE's first search for dark sector $e^+e^-$ explanations of the long-standing MiniBooNE anomaly. [...]
arXiv:2502.10900 ; FERMILAB-PUB-25-0080. - 9.
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2025-02-19
04:16
Conical Targets for Enhanced High-Current Positron Sources / Vallis, Nicolas (Minnesota U., Math. ; Northeastern U. ; PSI, Villigen ; CERN ; LPHE, Lausanne) ; Mena-Andrade, Ramiro (CERN) ; Humann, Barbara (CERN) ; Zhao, Yongke (CERN) ; Craievich, Paolo (Minnesota U., Math. ; Northeastern U. ; PSI, Villigen) ; Grenard, Jean-Louis (CERN) ; Latina, Andrea (CERN) ; Perillo-Marcone, Antonio (CERN) ; Zennaro, Riccardo (Minnesota U., Math. ; Northeastern U. ; PSI, Villigen) ; Alharthi, Fahad (IJCLab, Orsay) et al.
Previous pair-production-driven positron source designs have assumed that the transverse dimension of the target is significantly greater than the secondary beam it generates. [...]
arXiv:2502.10565. - 15.
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2025-02-19
04:03
Performance studies of the CE-65v2 MAPS prototype structure / ALICE Collaboration
With the next upgrade of the ALICE inner tracking system (ITS3) as its primary focus, a set of small MAPS test structures have been developed in the 65 nm TPSCo CMOS process. [...]
arXiv:2502.04070. - 6.
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2025-02-18
20:38
Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC / CMS Collaboration
We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towards neural network multiclass classification. [...]
arXiv:2502.13047 ; CMS-MLG-23-005 ; CERN-EP-2025-005 ; CMS-MLG-23-005-003. - 2025 - 51.
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