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Overview and theoretical prospects for CKM matrix and CP violation from the UTfit Collaboration
/ Bona, Marcella (Queen Mary, U. of London) ; Ciuchini, Marco (INFN, Rome3) ; Derkach, Denis (Higher Sch. of Economics, Moscow) ; Di Palma, Roberto (INFN, Rome3 ; Rome III U.) ; Ferrari, Fabio (INFN, Bologna ; U. Bologna, DIFA) ; Lubicz, Vittorio (INFN, Rome3 ; Rome III U.) ; Martinelli, Guido (INFN, Rome ; Rome U.) ; Pierini, Maurizio (CERN) ; Silvestrini, Luca (INFN, Rome) ; Simula, Silvano (INFN, Rome3) et al.
Precision studies of the Cabibbo-Kobayashi-Maskawa matrix offer a very important testbed of the Standard Model (SM).In light of new inputs and measurements, in this proceeding we review the status of the Unitarity Triangle as a fundamental tool to uncover New Physics. We report the results of the latest SM global fits performed by the UTfit Collaboration including all the up-to-date experimental and theoretical inputs as for the Summer 2023 release.We also update the stringent constraints on New Physics from the generalized $|\Delta F| = 2$ effective Hamiltonian. [...]
2024 - 10 p.
- Published in : PoS WIFAI2023 (2024) 007
Fulltext: PDF;
In : Workshop Italiano sulla Fisica ad Alta Intensita (WIFAI 2023), Rome, Italy, 8 - 10 Nov 2023, pp.007
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Global analysis of charm mixing parameters and determination of the CKM angle $\gamma$
/ Betti, F. (U. Edinburgh (main)) ; Bona, M. (Queen Mary, U. of London) ; Ciuchini, M. (INFN, Rome3) ; Derkach, D. (Higher Sch. of Economics, Moscow) ; Di Palma, R. (INFN, Rome3 ; Rome III U.) ; Kagan, A.L. (Cincinnati U.) ; Lubicz, V. (INFN, Rome3 ; Rome III U.) ; Martinelli, G. (INFN, Rome) ; Pierini, M. (CERN) ; Silvestrini, L. (INFN, Rome) et al.
We present an updated global analysis of beauty decays sensitive to the angle $\gamma$ of the Cabibbo-Kobayashi-Maskawa matrix and of $D$-meson mixing data in the framework of approximate universality for charm mixing. [...]
arXiv:2409.06449.
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21.
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Exploiting Differentiable Programming for the End-to-end Optimization of Detectors
/ MODE Collaboration
The coming of age of differentiable programming makes possible today to create complete
computer models of experimental apparatus that include the stochastic data-generation processes, the full modeling of the reconstruction and inference procedures, and a suitably defined
objective function, along with the cost of any given detector configuration, geometry and materials. [...]
2022. - 8 p.
Fulltext
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The LHCb ultra-fast simulation option, Lamarr design and validation
/ Anderlini, Lucio (INFN, Florence) ; Barbetti, Matteo (INFN, Florence ; U. Florence (main)) ; Capelli, Simone (INFN, Milan Bicocca ; Milan Bicocca U.) ; Corti, Gloria (CERN) ; Davis, Adam (Manchester U.) ; Derkach, Denis (Higher Sch. of Economics, Moscow) ; Kazeev, Nikita (Unlisted) ; Maevskiy, Artem (Unlisted) ; Martinelli, Maurizio (INFN, Milan Bicocca ; Milan Bicocca U.) ; Mokonenko, Sergei (Unlisted) et al.
/LHCb Simulation Project
Detailed detector simulation is the major consumer of CPU resources at LHCb, having used more than 90% of the total computing budget during Run 2 of the Large Hadron Collider at CERN. As data is collected by the upgraded LHCb detector during Run 3 of the LHC, larger requests for simulated data samples are necessary, and will far exceed the pledged resources of the experiment, even with existing fast simulation options. [...]
arXiv:2309.13213.-
2024 - 9 p.
- Published in : EPJ Web Conf. 295 (2024) 03040
Fulltext: 2309.13213 - PDF; document - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.03040
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Lamarr: the ultra-fast simulation option for the LHCb experiment
/ Anderlini, Lucio (INFN, Florence) ; Barbetti, Matteo (INFN, Florence ; U. Florence (main)) ; Corti, Gloria (CERN) ; Davis, Adam (U. Manchester (main)) ; Derkach, Denis (Higher Sch. of Economics, Moscow) ; Kazeev, Nikita (Higher Sch. of Economics, Moscow) ; Maevskiy, Artem (Higher Sch. of Economics, Moscow) ; Mokonenko, Sergei (Higher Sch. of Economics, Moscow) ; Siddi, Benedetto Gianluca (Ferrara U.) ; Xu, Zehua (U. Clermont Auvergne)
During Run 2 of the Large Hadron Collider at CERN, the LHCb experiment has spent more than 80% of the pledged CPU time to produce simulated data samples. The upgraded LHCb detector, being commissioned now, will be able to collect much larger data samples, requiring many more simulated events to analyze the collected data. [...]
2022 - 6 p.
- Published in : PoS: ICHEP2022, pp. 233
- Published in : PoS: ICHEP2022 (2022) , pp. 233
Fulltext: PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.233
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Observation of the $B^+ \rightarrow J/\psi \eta^{\prime} K^+$ decay
/ LHCb Collaboration
The $B^+ \rightarrow J/\psi \eta^{\prime} K^+$ decay is observed for the first time using proton-proton collision data collected by the LHCb experiment at centre-of-mass energies of 7, 8, and 13TeV, corresponding to a total integrated luminosity of 9fb$^{-1}$. The branching fraction of this decay is measured relative to the known branching fraction of the $B^+ \rightarrow \psi(2S) K^+$ decays and found to be $$ \frac{\mathcal{B}( B^+ \rightarrow J/\psi \eta^{\prime}K^+)} {\mathcal{B}( B^+ \rightarrow \psi(2S)K^+) } = \left(4.91\pm 0.47\pm0.29\pm0.07\right)\times10^{-2}, $$ where the first uncertainty is statistical, the second is systematic and the third is related to external branching fractions. [...]
arXiv:2303.09443; LHCb-PAPER-2022-054; CERN-EP-2023-022.-
Geneva : CERN, 2023-08-25 - 19 p.
Fulltext: Publication - PDF; 2303.09443 - PDF; Erratum - PDF; Related data file(s): ZIP;
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Observation of the $B^0_s\rightarrow \chi_{c1}(3872)\pi^+\pi^-$ decay
/ LHCb Collaboration
The first observation of the $B^0_s \rightarrow \left( \chi_{c1}(3872) \rightarrow J/\psi\pi^+\pi^-\right) \pi^+ \pi^-$ decay is reported using proton-proton collision data, corresponding to integrated luminosities of 1, 2 and 6fb$^{-1}$, collected by the LHCb experiment at centre-of-mass energies of 7, 8 and 13TeV, respectively. The ratio of branching fractions relative to the $B^0_s \rightarrow \left( \psi(2S) \rightarrow J\psi\pi^+\pi^- \right) \pi^+ \pi^-$ decay is measured to be $$ \frac{ \mathcal{B} \left( B^0_s \rightarrow \chi_{c1}(3872) \pi^+\pi^-\right) \times \mathcal{B} \left( \chi_{c1}(3872) \rightarrow J\psi\pi^+\pi^-\right)} { \mathcal{B} \left( B^0_s \rightarrow \psi(2S) \pi^+ \pi^- \right) \times \mathcal{B} \left( \psi(2S) \rightarrow J\psi\pi^+\pi^-\right) } = \left( 6.8 \pm 1.1 \pm 0.2 \right) \times 10^{-2} , $$ where the first uncertainty is statistical and the second systematic. [...]
arXiv:2302.10629; CERN-EP-2023-015; LHCb-PAPER-2022-049; LHcb-PAPER-2022-049.-
Geneva : CERN, 2023-07-11 - 18 p.
- Published in : JHEP 2307 (2023) 084
Fulltext: LHCb-PAPER-2022-049 - PDF; 2302.10629 - PDF; document - PDF; Related data file(s): ZIP;
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Robust Neural Particle Identification Models
/ Ryzhikov, Artem (Higher Sch. of Economics, Moscow) ; Temirkhanov, Aziz (Higher Sch. of Economics, Moscow) ; Derkach, Denis (Higher Sch. of Economics, Moscow) ; Hushchyn, Mikhail (Higher Sch. of Economics, Moscow) ; Kazeev, Nikita (Higher Sch. of Economics, Moscow) ; Mokhnenko, Sergei (Higher Sch. of Economics, Moscow)
/LHCb Collaboration
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings of these approaches is their profound sensitivity to the biases in training samples. [...]
arXiv:2212.07274.-
2023 - 5 p.
- Published in : J. Phys. : Conf. Ser.: 2438 (2023) , no. 1, pp. 012119
Fulltext: 2212.07274 - PDF; document - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012119
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A full detector description using neural network driven simulation
/ Ratnikov, Fedor (Higher Sch. of Economics, Moscow ; Yandex Sch. Data Anal., Moscow) ; Rogachev, Alexander (Higher Sch. of Economics, Moscow) ; Mokhnenko, Sergey (Higher Sch. of Economics, Moscow) ; Maevskiy, Artem (Higher Sch. of Economics, Moscow) ; Derkach, Denis (Higher Sch. of Economics, Moscow) ; Davis, Adam (Cincinnati U.) ; Kazeev, Nikita (Higher Sch. of Economics, Moscow) ; Anderlini, Lucio (INFN, Florence) ; Barbetti, Matteo (INFN, Florence ; Florence U.) ; Siddi, Benedetto Gianluca (INFN, Ferrara)
The abundance of data arriving in the new runs of the Large Hadron Collider creates tough requirements for the amount of necessary simulated events and thus for the speed of generating such events. Current approaches can suffer from long generation time and lack of important storage resources to preserve the simulated datasets. [...]
2023 - 2 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 1046 (2023) 167591
In : 15th Pisa Meeting on Advanced Detectors, La Biodola - Isola D'elba, Italy, 22 - 28 May 2022, pp.167591
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