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CERN Preprints

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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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