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1.
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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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2.
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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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3.
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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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4.
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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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5.
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Generative models uncertainty estimation
/ Anderlini, Lucio (INFN, Florence) ; Chimpoesh, Constantine (Higher Sch. of Economics, Moscow) ; Kazeev, Nikita (Higher Sch. of Economics, Moscow) ; Shishigina, Agata (Higher Sch. of Economics, Moscow)
/LHCb Collaboration
In recent years fully-parametric fast simulation methods based on generative models have been proposed for a variety of high-energy physics detectors. By their nature, the quality of data-driven models degrades in the regions of the phase space where the data are sparse. [...]
arXiv:2210.09767; CERN-Poster-2021-1059.-
2023 - 6 p.
- Published in : J. Phys. : Conf. Ser. 2438 (2023) 012088
Fulltext: 2210.09767 - 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.012088
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Towards Reliable Neural Generative Modeling of Detectors
/ Anderlini, Lucio (INFN, Florence) ; Barbetti, Matteo (INFN, Florence ; U. Florence (main)) ; Derkach, Denis (Higher Sch. of Economics, Moscow) ; Kazeev, Nikita (Higher Sch. of Economics, Moscow) ; Maevskiy, Artem (Higher Sch. of Economics, Moscow) ; Mokhnenko, Sergei (Higher Sch. of Economics, Moscow)
/LHCb Collaboration
The increasing luminosities of future data taking at Large Hadron Collider and next generation collider experiments require an unprecedented amount of simulated events to be produced. Such large scale productions demand a significant amount of valuable computing resources. [...]
arXiv:2204.09947.-
2023 - 6 p.
- Published in : J. Phys. : Conf. Ser. 2438 (2023) 012130
Fulltext: document - PDF; 2204.09947 - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012130
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7.
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Generative models uncertainty estimation
Reference: Poster-2021-1059
Created: 2021. -1 p
Creator(s): Kazeev, Nikita
In recent years fully-parametric fast simulation methods based on generative models have been proposed for a variety of high-energy physics detectors. By their nature, the quality of data-driven models degrades in the regions of the phase space where the data are sparse. Since machine-learning models are hard to analyze from the physical principles, the commonly used testing procedures are performed in a data-driven way and can’t be reliably used in such regions. In our talk we propose three methods to estimate the uncertainty of generative models inside and outside of the training phase space region, along with data-driven calibration techniques. Test of the proposed methods on the LHCb RICH fast simulation is also presented.
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© CERN Geneva
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8.
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Search for time-dependent $CP$ violation in $D^0 \to K^+ K^-$ and $D^0 \to \pi^+ \pi^-$ decays
/ LHCb Collaboration
A search for time-dependent violation of the charge-parity symmetry in $D^0 \to K^+ K^-$ and $D^0 \to \pi^+ \pi^-$ decays is performed at the LHCb experiment using proton-proton collision data recorded from 2015 to 2018 at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6 fb$^{-1}$. The $D^0$ meson is required to originate from a $D^*(2010)^+ \to D^0 \pi^+$ decay, such that its flavour at production is identified by the charge of the accompanying pion. [...]
arXiv:2105.09889; LHCb-PAPER-2020-045; CERN-EP-2021-060; LHCB-PAPER-2020-045.-
Geneva : CERN, 2021-10-01 - 39 p.
- Published in : Phys. Rev. D 104 (2021) 072010
Fulltext: 2105.09889 - PDF; LHCb-PAPER-2020-045 - PDF; Fulltext from publisher: PDF; Related data file(s): ZIP; Supplementary information: ZIP;
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9.
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Measurement of $CP$ asymmetry in $D^0 \to K^0_S K^0_S$ decays
/ LHCb Collaboration
A measurement of the $CP$ asymmetry in $D^0 \to K^0_S K^0_S$ decays is reported, based on a data sample of proton-proton collisions collected by the LHCb experiment from 2015 to 2018, corresponding to an integrated luminosity of 6 fb$^{-1}$. The flavor of the $D^0$ candidate is determined using the charge of the $D^{*\pm}$ meson, from which the decay is required to originate. [...]
arXiv:2105.01565; LHCb-PAPER-2020-047; CERN-EP-2021-058; LHCB-PAPER-2020-047.-
Geneva : CERN, 2021-08-01 - 11 p.
- Published in : Phys. Rev. D 104 (2021) L031102
Fulltext: LHCb-PAPER-2020-047 - PDF; 2105.01565 - PDF; Fulltext from publisher: PDF; Related data file(s): ZIP; Supplementary information: ZIP;
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10.
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Precise measurement of the $f_s/f_d$ ratio of fragmentation fractions and of $B^0_s$ decay branching fractions
/ LHCb Collaboration
The ratio of the $B^0_s$ and $B^0$ fragmentation fractions, $f_s/f_d$, in proton-proton collisions at the LHC, is obtained as a function of $B$-meson transverse momentum and collision centre-of-mass energy from the combined analysis of different $B$-decay channels measured by the LHCb experiment. The results are described by a linear function of the meson transverse momentum, or with a function inspired by Tsallis statistics. [...]
arXiv:2103.06810; LHCb-PAPER-2020-046; CERN-EP-2021-027; LHCB-PAPER-2020-046.-
2021-08-01 - 33 p.
- Published in : Phys. Rev. D 104 (2021) 032005
Fulltext: PDF; Related data file(s): ZIP;
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