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A Common Tracking Software Project
/ Ai, Xiaocong (DESY) ; Allaire, Corentin (CERN) ; Calace, Noemi (CERN) ; Czirkos, Angéla (Eotvos U.) ; Elsing, Markus (CERN) ; Ene, Irina (UC, Berkeley) ; Farkas, Ralf (Bonn U.) ; Gagnon, Louis-Guillaume (UC, Berkeley) ; Garg, Rocky (Stanford U.) ; Gessinger, Paul (CERN) et al.
The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. [...]
arXiv:2106.13593.-
2022-04-13 - 27 p.
- Published in : Comput. Softw. Big Sci. 6 (2022) 8
Fulltext: 2106.13593 - PDF; document - PDF;
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2.
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Lepton-flavor violating axions at MEG II
/ Jho, Yongsoo (Yonsei U. ; CERN) ; Knapen, Simon (UC, Berkeley ; LBNL, Berkeley) ; Redigolo, Diego (CERN ; INFN, Florence)
We study the sensitivity of the existing MEG data to lepton flavor violating axion-like particles produced through $\mu^+ \to e^+ a \gamma$ and estimate the discovery potential for the upcoming MEG II experiment in this channel. The MEG II signal efficiency can be improved significantly if a new trigger can be implemented in a dedicated run with a reduced beam intensity. [...]
arXiv:2203.11222; CERN-TH-2022-044.-
2022-10-05 - 23 p.
- Published in : JHEP 2210 (2022) 029
Fulltext: 2203.11222 - PDF; document - PDF;
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3.
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Workshop summary: Kaons@CERN 2023
/ Anzivino, G. (INFN, Perugia ; Perugia U.) ; Cuendis, Sergio Arguedas (Costa Rica U.) ; Bernard, V. (IJCLab, Orsay) ; Bijnens, J. (Lund U.) ; Bloch-Devaux, B. (Turin U.) ; Bordone, M. (CERN) ; Brizioli, F. (INFN, Perugia ; CERN) ; Brod, J. (Cincinnati U.) ; Camalich, J.M. (IAC, La Laguna ; Laguna U., Tenerife) ; Ceccucci, A. (CERN) et al.
Kaon physics is at a turning point -- while the rare-kaon experiments NA62 and KOTO are in full swing, the end of their lifetime is approaching and the future experimental landscape needs to be defined. With HIKE, KOTO-II and LHCb-Phase-II on the table and under scrutiny, it is a very good moment in time to take stock and contemplate about the opportunities these experiments and theoretical developments provide for particle physics in the coming decade and beyond. [...]
arXiv:2311.02923; CERN-TH-2023-206.-
2024-04-09 - 55 p.
- Published in : Eur. Phys. J. C
Fulltext: 2311.02923 - PDF; document - PDF;
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4.
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Expression of Interest for the CODEX-b Detector
/ Aielli, Giulio (INFN, Rome2 ; Rome U., Tor Vergata) ; Ben-Haim, Eli (Paris U., VI-VII) ; Cardarelli, Roberto (INFN, Rome2) ; Charles, Matthew John (Paris U., VI-VII) ; Cid Vidal, Xabier (Santiago de Compostela U., IGFAE) ; Coco, Victor (CERN) ; Dey, Biplab (CCNU, Wuhan, Inst. Part. Phys.) ; Dumps, Raphael (CERN) ; Evans, Jared A. (Cincinnati U.) ; Gibbons, George (Birmingham U.) et al.
This document presents the physics case and ancillary studies for the proposed CODEX-b long-lived particle (LLP) detector, as well as for a smaller proof-of-concept demonstrator detector, CODEX-$\beta$, to be operated during Run 3 of the LHC. Our development of the CODEX-b physics case synthesizes `top-down' and `bottom-up' theoretical approaches, providing a detailed survey of both minimal and complete models featuring LLPs. [...]
arXiv:1911.00481.-
2020-12-21 - 47 p.
- Published in : Eur. Phys. J. C 80 (2020) 1177
Article from SCOAP3: PDF; Fulltext: PDF;
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5.
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Gravitational Wave and CMB Probes of Axion Kination
/ Co, Raymond T. (Minnesota U., Theor. Phys. Inst.) ; Dunsky, David (UC, Berkeley ; LBL, Berkeley) ; Fernandez, Nicolas (Illinois U., Urbana) ; Ghalsasi, Akshay (Pittsburgh U.) ; Hall, Lawrence J. (UC, Berkeley ; LBL, Berkeley) ; Harigaya, Keisuke (CERN ; Princeton, Inst. Advanced Study) ; Shelton, Jessie (Illinois U., Urbana)
Rotations of an axion field in field space provide a natural origin for an era of kination domination, where the energy density is dominated by the kinetic term of the axion field, preceded by an early era of matter domination. Remarkably, no entropy is produced at the end of matter domination and hence these eras of matter and kination domination may occur even after Big Bang Nucleosynthesis. [...]
arXiv:2108.09299; UMN-TH-4023/21; FTPI-MINN-21-15; CERN-TH-2021-124.-
2022-09-15 - 63 p.
- Published in : JHEP 2209 (2022) 116
Fulltext: document - PDF; 2108.09299 - PDF;
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6.
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Data preservation in high energy physics
/ DPHEP Collaboration
Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique data sets in the light of the continuously increasing theoretical understanding. This document summarizes the status of data preservation in high energy physics. [...]
arXiv:2302.03583; DPHEP-2023-01.-
2023-09-08 - 41 p.
- Published in : Eur. Phys. J. C 83 (2023) 795
Fulltext: FERMILAB-FN-1223-CSAID-PPD - PDF; 2302.03583 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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7.
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Multifield Positivity Bounds for Inflation
/ Freytsis, Marat (Rutgers U., Piscataway) ; Kumar, Soubhik (UC, Berkeley ; LBL, Berkeley) ; Remmen, Grant N. (Santa Barbara, KITP ; UC, Santa Barbara) ; Rodd, Nicholas L. (CERN)
Positivity bounds represent nontrivial limitations on effective field theories (EFTs) if those EFTs are to be completed into a Lorentz-invariant, causal, local, and unitary framework. While such positivity bounds have been applied in a wide array of physical contexts to obtain useful constraints, their application to inflationary EFTs is subtle since Lorentz invariance is spontaneously broken during cosmic inflation. [...]
arXiv:2210.10791; CERN-TH-2022-160.-
2023-09-07 - 43 p.
- Published in : JHEP 2309 (2023) 041
Fulltext: document - PDF; 2210.10791 - PDF;
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8.
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D-module techniques for solving differential equations in the context of Feynman integrals
/ Henn, Johannes (UC, Berkeley, Math. Dept.) ; Pratt, Elizabeth (UC, Berkeley) ; Sattelberger, Anna-Laura (Leipzig, Max Planck Inst. ; Royal Inst. Tech., Stockholm) ; Zoia, Simone (Turin U. ; INFN, Turin ; CERN)
Feynman integrals are solutions to linear partial differential equations with polynomial coefficients. Using a triangle integral with general exponents as a case in point, we compare $D$-module methods to dedicated methods developed for solving differential equations appearing in the context of Feynman integrals, and provide a dictionary of the relevant concepts. [...]
arXiv:2303.11105.-
2024-06-21 - 51 p.
- Published in : Lett. Math. Phys. 114 (2024) 87
Fulltext: 2303.11105 - PDF; Publication - PDF;
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9.
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The Tracking Machine Learning challenge : Throughput phase
/ Amrouche, Sabrina (Geneva U.) ; Basara, Laurent (LRI, Paris 11 ; INRIA, Saclay) ; Calafiura, Paolo (LBL, Berkeley ; UC, Berkeley (main) ; UC, Berkeley) ; Emeliyanov, Dmitry (Rutherford) ; Estrade, Victor (LRI, Paris 11 ; INRIA, Saclay) ; Farrell, Steven (LBL, Berkeley ; UC, Berkeley (main) ; UC, Berkeley) ; Germain, Cécile (LRI, Paris 11 ; INRIA, Saclay) ; Gligorov, Vladimir Vava (LPNHE, Paris) ; Golling, Tobias (Geneva U.) ; Gorbunov, Sergey (Goethe U., Frankfurt (main)) et al.
This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first "Accuracy" phase, the participants had to solve a difficult experimental problem linked to tracking accurately the trajectory of particles as e.g. [...]
arXiv:2105.01160.-
2023-02-13 - 19 p.
- Published in : Comput. Softw. Big Sci. 7 (2023) 1
Fulltext: 2105.01160 - PDF; Publication - PDF;
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10.
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Artificial Intelligence for the Electron Ion Collider (AI4EIC)
/ Allaire, C. (IJCLab, Orsay) ; Ammendola, R. (INFN, Rome2) ; Aschenauer, E.-C. (Brookhaven) ; Balandat, M. (SLAC) ; Battaglieri, M. (INFN, Genoa) ; Bernauer, J. (SUNY, Stony Brook ; Yale U. ; RIKEN BNL) ; Bondì, M. (INFN, Catania) ; Branson, N. (Messiah Coll. ; Drexel U.) ; Britton, T. (Jefferson Lab) ; Butter, A. (LPNHE, Paris) et al.
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. [...]
arXiv:2307.08593; FERMILAB-CONF-23-407-AD.-
2024-02-15 - 27 p.
- Published in : Comput. Softw. Big Sci. 8 (2024) 5
Fulltext: 2307.08593 - PDF; 154e04fa6e7cde7b5961a079c6081ef6 - PDF; Fulltext from Publisher: document - PDF; s41781-024-00113-4 - PDF; External link: Fermilab Library Server
In : Artificial Intelligence for the Electron Ion Collider (AI4EIC), Washington, DC, United States, 28 Nov - 1 Dec 2023, pp.5
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