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ABOUT PREPRINTS
The Preprints collection aims to cover as far as possible all the grey literature in particle physics and its related technologies. The collection contains something like 400,000 documents, out of which about 50% can be accessed electronically. The documents originate from a variety of institutes all over the world. The collection, currently available, starts in 1979 and it has a full coverage of the arXiv.org e-Print archive since its beginning in 1991.
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2024-04-20
05:07
tt+X measurements by CMS and ATLAS / Alvarez Gonzalez, Barbara (ICTEA, Oviedo)
These proceedings present the observation of the 4-top production process and the latest results of the production of top-quark pairs associated with W and $\gamma$ bosons ($t\bar{t}W$ and $t\bar{t}\gamma$) and b jets ($t\bar{t}b\bar{b}$) at a collision energy of 13 TeV carried out by the CMS and ATLAS Collaborations..
arXiv:2404.12046. - 6 p.
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2024-04-20
05:03
Two-loop integrals for $t \bar{t} +$jet production at hadron colliders in the leading colour approximation / Badger, Simon (INFN, Turin) ; Becchetti, Matteo (Bologna U. ; INFN, Bologna) ; Giraudo, Nicolò (Zurich U.) ; Zoia, Simone (CERN)
We compute the differential equations for the two remaining integral topologies contributing to the leading colour two-loop amplitudes for $pp \rightarrow t\bar{t}j$. [...]
CERN-TH-2024-048 ; ZU-TH 22/24 ; arXiv:2404.12325. - 22 p.
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2024-04-18
07:44
Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release / Hageboeck, Stephan (CERN) ; Childers, Taylor (Argonne (main)) ; Hopkins, Walter (Argonne (main)) ; Mattelaer, Olivier (Cathol. U. Louvain (main)) ; Nichols, Nathan (Argonne (main)) ; Roiser, Stefan (CERN) ; Teig, Jørgen (CERN) ; Valassi, Andrea (CERN) ; Vuosalo, Carl (U. Wisconsin, Madison (main)) ; Wettersten, Zenny (CERN)
Madgraph5_aMC@NLO is one of the most-frequently used Monte-Carlo event generators at the LHC, and an important consumer of compute resources. [...]
arXiv:2312.02898. - 8 p.
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2024-04-18
07:43
The ALE Partition Functions of M-String Orbifolds / Del Zotto, Michele (Uppsala U., Dept. Math. ; Uppsala U.) ; Lockhart, Guglielmo (Uppsala U., Dept. Math. ; CERN ; U. Bonn, Phys. Inst., BCTP)
The ALE partition functions of a 6d (1,0) SCFT are interesting observables which are able to detect the global structure of the SCFT. [...]
arXiv:2311.08462. - 69 p.
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2024-04-18
04:34
Beam Test Performance Studies of CMS Phase-2 Outer Tracker Module Prototypes / CMS Tracker Group Collaboration
A new tracking detector will be installed as part of the Phase-2 upgrade of the CMS detector for the high-luminosity LHC era. [...]
arXiv:2404.08794. - 40 p.
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2024-04-17
11:03
Climbing to the Top of the ATLAS 13 TeV data / ATLAS Collaboration
The large amount of data recorded with the ATLAS detector at the Large Hadron Collider, corresponding to 140 fb$^{-1}$ of $pp$ collisions at a centre-of-mass energy of $\sqrt{s}=13$ TeV, has brought our knowledge of the top quark to the next level. [...]
arXiv:2404.10674 ; CERN-EP-2024-099. - 2024. - 88 p.
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2024-04-17
04:12
Subleading power corrections for event shape variables in $e^+ e^-$ annihilation / Buonocore, Luca (Zurich U. ; CERN) ; Grazzini, Massimiliano (Zurich U.) ; Guadagni, Flavio (Zurich U.) ; Rottoli, Luca (Zurich U.)
We consider subleading power corrections to event shape variables in $e^+e^-$ collisions at the first order in the QCD coupling $\alpha_S$. [...]
arXiv:2311.12768. - 20 p.
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2024-04-16
04:39
Symmetry-invariant quantum machine learning force fields / Le, Isabel Nha Minh (IBM, Zurich ; JARA, Aachen) ; Kiss, Oriel (CERN) ; Schuhmacher, Julian (IBM, Zurich) ; Tavernelli, Ivano (IBM, Zurich) ; Tacchino, Francesco (IBM, Zurich)
Machine learning techniques are essential tools to compute efficient, yet accurate, force fields for atomistic simulations. [...]
arXiv:2311.11362. - 12 p.
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2024-04-16
04:38
Gradients and frequency profiles of quantum re-uploading models / Barthe, Alice (U. Leiden (main) ; CERN ; Leiden U.) ; Pérez-Salinas, Adrián (Leiden U. ; U. Leiden (main))
Quantum re-uploading models have been extensively investigated as a form of machine learning within the context of variational quantum algorithms. [...]
arXiv:2311.10822. - 21 p.
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2024-04-16
04:36
Comparison among Classical, Probabilistic and Quantum Algorithms for Hamiltonian Cycle problem / Corrente, Giuseppe (Turin U. ; INFN, Turin) ; Stanzione, Carlo Vincenzo (Pisa U. ; INFN, Pisa ; CERN) ; Stanzione, Vittoria (Pisa U. ; Naples U. ; INFN, Naples)
The Hamiltonian cycle problem (HCP), which is an NP-complete problem, consists of having a graph G with n nodes and m edges and finding the path that connects each node exactly once. [...]
arXiv:2311.10941. - 18 p.
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