2024-06-17 08:29 |
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2024-06-15 04:18 |
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2024-06-15 04:17 |
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2024-06-15 04:11 |
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Acceleration of electromagnetic shower development and enhancement of light yield in oriented scintillating crystals
/ Soldani, Mattia (Frascati) ; Monti-Guarnieri, Pietro (INFN, Trieste ; Trieste U.) ; Selmi, Alessia (Insubria U., Como ; Milan Bicocca U.) ; Argiolas, Nicola (Padua U. ; INFN, Legnaro) ; Bomben, Luca (Insubria U., Como ; Milan Bicocca U.) ; Brizzolari, Claudia (Insubria U., Como ; Milan Bicocca U.) ; Canale, Nicola (INFN, Ferrara) ; Carsi, Stefano (Insubria U., Como ; Milan Bicocca U.) ; Charitonidis, Nikolaos (CERN) ; De Salvador, Davide (Padua U. ; INFN, Legnaro) et al.
We observed a substantial increase of the scintillation light output of lead tungstate (PbWO$_4$) at a small incidence angle with respect to two main lattice axes. [...]
arXiv:2404.12016.
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6 p.
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2024-06-14 16:30 |
Test results of the optical calibration system for the Large Sized Telescope camera
/RE23/CTA-LST Collaboration
In 2018 the Large Sized Telescope (LST-1) prototype, designed to be the lowest energy detector for the Cherenkov Telescope Array Observatory, was inaugurated at the Observatorio de Roque de Los Muchachos in La Palma, Canary Island and today three more are under construction, LST2–4 . The LST camera, with 1855 photomultipliers (PMTs), requires precise and regular calibration. [...]
CERN-RE23-2024-003.-
Geneva : CERN, 2024
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2024-06-14 06:02 |
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Heavy-to-light form factors to three loops
/ Fael, Matteo (CERN) ; Huber, Tobias (Siegen U.) ; Lange, Fabian (Zurich U. ; PSI, Villigen) ; Müller, Jakob (Siegen U.) ; Schönwald, Kay (Zurich U.) ; Steinhauser, Matthias (KIT, Karlsruhe, TTP)
We compute three-loop corrections of $\mathcal{O}(\alpha_{s}^3)$ to form factors with one massive and one massless quark coupling to an external vector, axialvector, scalar, pseudoscalar, or tensor current. [...]
CERN-TH-2024-064 ; P3H-24-036 ; PSI-PR-24-13 ; SI-HEP-2024-14 ; TTP24-017 ; ZU-TH28/24 ; arXiv:2406.08182.
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51 p.
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2024-06-13 06:49 |
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2024-06-13 06:39 |
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2024-06-13 06:24 |
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2024-06-13 05:53 |
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Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection
/ Schueler, J. (New Mexico U.) ; Araújo, H.M. (Imperial Coll., London) ; Balashov, S.N. (Rutherford) ; Borg, J.E. (Lulea U.) ; Brew, C. (Rutherford) ; Brunbauer, F.M. (CERN) ; Cazzaniga, C. (Rutherford) ; Cottle, A. (Oxford U.) ; Frost, C.D. (Rutherford) ; Garcia, F. (Helsinki U.) et al.
Deep learning-based object detection algorithms enable the simultaneous classification and localization of any number of objects in image data. [...]
arXiv:2406.07538.
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24 p.
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