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The LHC as a Neutrino-Ion Collider
/ Cruz-Martinez, Juan M. (CERN) ; Fieg, Max (UC, Irvine) ; Giani, Tommaso (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Krack, Peter (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Mäkelä, Toni (NCBJ, Warsaw) ; Rabemananjara, Tanjona R. (Vrije U., Amsterdam ; NIKHEF, Amsterdam) ; Rojo, Juan (Vrije U., Amsterdam ; NIKHEF, Amsterdam)
Proton-proton collisions at the LHC generate a high-intensity collimated beam of neutrinos in the forward (beam) direction, characterised by energies of up to several TeV. The recent observation of LHC neutrinos by FASER$\nu$ and SND@LHC signals that this hitherto ignored particle beam is now available for scientific inquiry. [...]
arXiv:2309.09581; Nikhef-2023-009; CERN-TH-2023-165.-
2024-04-08 - 42 p.
- Published in : Eur. Phys. J. C 84 (2024) 369
Fulltext: document - PDF; 2309.09581 - PDF;
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Report from LHC MD 3312: Replicating HL-LHC DA
/ Dilly, Joschua Werner (Humboldt University of Berlin (DE)) ; Albert, Markus (CERN) ; Carlier, Felix Simon (CERN) ; Coello De Portugal - Martinez Vazquez, Jaime Maria ; Dalena, Barbara (Université Paris-Saclay (FR)) ; Fol, Elena (CERN) ; Hofer, Michael (CERN) ; Maclean, Ewen Hamish (CERN) ; Malina, Lukas ; Persson, Tobias Hakan Bjorn (CERN) et al.
During MD3312 on the 30.10.2018 the non-linear conditions in the insertion regions of the planned HL-LHC were replicated to our best knowledge and within the capabilities of the hardware currently available in the LHC: A flat ATS-optics scheme of beta* = 15cm / 60cm in IP1 and IP5 was applied as well as sextupole, octupole and (normal) dodecapole errors were introduced into the machine via the corrector magnets in the interaction regions. [...]
CERN-ACC-NOTE-2022-0021.
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2022
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Optics Measurement and Correction Strategies for HL-LHC
/ Buffat, Xavier (CERN) ; Carlier, Felix Simon (CERN) ; Coello De Portugal - Martinez Vazquez, Jaime Maria ; De Maria, Riccardo (CERN) ; Dilly, Joschua Werner (Humboldt University of Berlin (DE)) ; Fol, Elena (CERN) ; Fuster Martinez, Nuria ; Gamba, Davide (CERN) ; Garcia Morales, Hector ; Garcia-Tabares Valdivieso, Ana (Universidad Complutense (ES)) et al.
The baseline strategy for optics commissioning in the HL-LHC era is presented and reviewed in detail, along with recent developments and unsolved matters in the linear and nonlinear optics measurement and correction techniques..
CERN-ACC-2022-0004.
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2022. - 104 p.
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Snowmass 2021 whitepaper: Proton structure at the precision frontier
/ Amoroso, S. (DESY) ; Apyan, A. (Brandeis U.) ; Armesto, N. (Santiago de Compostela U., IGFAE) ; Ball, R.D. (U. Edinburgh, Higgs Ctr. Theor. Phys.) ; Bertone, V. (IRFU, Saclay) ; Bissolotti, C. (Argonne) ; Bluemlein, J. (DESY) ; Boughezal, R. (Argonne) ; Bozzi, G. (Cagliari U. ; INFN, Cagliari) ; Britzger, D. (Munich, Max Planck Inst.) et al.
An overwhelming number of theoretical predictions for hadron colliders require parton distribution functions (PDFs), which are an important ingredient of theory infrastructure for the next generation of high-energy experiments. This whitepaper summarizes the status and future prospects for determination of high-precision PDFs applicable in a wide range of energies and experiments, in particular in precision tests of the Standard Model and in new physics searches at the high-luminosity Large Hadron Collider and Electron-Ion Collider [...]
arXiv:2203.13923; Edinburgh 2022/08; FERMILAB-PUB-22-222-QIS-SCD-T; MPP-2022-32,
SLAC-PUB-17652; SMU-HEP-22-02; TIF-UNIMI-2022-6.-
2023-01-17 - 79 p.
- Published in : 10.5506/APhysPolB.53.12-A1
Fulltext: jt - PDF; 2203.13923 - PDF; Fulltext from Publisher: PDF; External links: Fermilab Library Server; eConf
In : 2021 Snowmass Summer Study, Seattle, WA, United States, 11 - 20 July 2021, pp.
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A data-based parametrization of parton distribution functions
/ Carrazza, Stefano (Milan U. ; INFN, Milan ; CERN ; Technol. Innovation Inst., UAE
) ; Cruz-Martinez, Juan M. (Milan U. ; INFN, Milan) ; Stegeman, Roy (Milan U. ; INFN, Milan)
Since the first determination of a structure function many decades ago, all methodologies used to determine structure functions or parton distribution functions (PDFs) have employed a common prefactor as part of the parametrization. The NNPDF collaboration pioneered the use of neural networks to overcome the inherent bias of constraining the space of solution with a fixed functional form while still keeping the same common prefactor as a preprocessing. [...]
arXiv:2111.02954; TIF-UNIMI-2021-18.-
2022-02-22 - 10 p.
- Published in : Eur. Phys. J. C 82 (2022) 163
Fulltext: 2111.02954 - PDF; document - PDF;
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