CERN Accelerating science

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1.
Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA / Lazzari, Federico (U. Siena (main) ; INFN, Pisa) ; Bassi, Giovanni (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Cenci, Riccardo (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Morello, Michael J (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Punzi, Giovanni (INFN, Pisa ; Pisa U.)
In the Run-3 of LHCb, the High Level Trigger will have to process events at full LHC collision rate (30 MHz). This is a very challenging goal, and delegating some low-level tasks to FPGA accelerators can be very helpful by saving precious computing time. [...]
2020 - 6 p. - Published in : J. Phys.: Conf. Ser. 1525 (2020) 012044
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019, pp.012044
2.
FPGA-based real-time data processing for accelerating reconstruction at LHCb / LHCb Collaboration
In Run-3, beginning in 2022, the LHCb software trigger will start reconstructing events at the LHC average crossing rate of 30 MHz. Within the upgraded DAQ system, LHCb established a testbed for new heterogeneous computing solutions for real-time event reconstruction, in view of future runs at even higher luminosities. [...]
arXiv:2201.08119.- 2022-04-06 - 8 p.
- Published in : JINST Fulltext: PDF;
In : TWEPP 2021 Topical Workshop on Electronics for Particle Physics, Online, Online, 20 - 24 Sep 2021, pp.C04011
3.
Real-time reconstruction of long-lived particles at LHCb using FPGAs / Cenci, Riccardo (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Di Luca, Andrea (INFN, Pisa ; Pisa U.) ; Lazzari, Federico (INFN, Pisa ; Siena U.) ; Morello, Michael J. (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Punzi, Giovanni (INFN, Pisa ; Pisa U.) /LHCb Collaboration
Finding tracks downstream of the magnet at the earliest LHCb trigger level is not part of the baseline plan of the upgrade trigger, on account of the significant CPU time required to execute the search. Many long-lived particles, such as $K^0_S$ and strange baryons, decay after the vertex track detector, so that their reconstruction efficiency is limited. [...]
arXiv:2006.11067.- 2020-07-08 - 7 p. - Published in : J. Phys.: Conf. Ser. 1525 (2020) 012101 Fulltext: J Phys Conf Ser 1525 012101 - PDF; 2006.11067 - PDF;
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019, pp.012101
4.
The artificial retina for track reconstruction at the LHC crossing rate / Abba, A. (Milan Polytechnic ; INFN, Milan) ; Bedeschi, F. (INFN, Pisa) ; Citterio, M. (Milan Polytechnic ; INFN, Milan) ; Caponio, F. (Milan Polytechnic ; INFN, Milan) ; Cusimano, A. (Milan Polytechnic ; INFN, Milan) ; Geraci, A. (Milan Polytechnic ; INFN, Milan) ; Marino, P. (Pisa, Scuola Normale Superiore ; INFN, Pisa) ; Morello, M.J. (Pisa, Scuola Normale Superiore ; INFN, Pisa) ; Neri, N. (Milan Polytechnic ; INFN, Milan) ; Punzi, G. (Pisa U. ; INFN, Pisa) et al.
We present the results of an R&D; study for a specialized processor capable of precisely reconstructing events with hundreds of charged-particle tracks in pixel and silicon strip detectors at $40\,\rm MHz$, thus suitable for processing LHC events at the full crossing frequency. For this purpose we design and test a massively parallel pattern-recognition algorithm, inspired to the current understanding of the mechanisms adopted by the primary visual cortex of mammals in the early stages of visual-information processing. [...]
arXiv:1411.1281.- 2016-06-02 - 3 p. - Published in : Nucl. Part. Phys. Proc. 273-275 (2016) 2488-2490 Fulltext: 10.1016_j.nuclphysbps.2015.09.434 - PDF; arXiv:1411.1281 - PDF; External link: Preprint
In : 37th International Conference on High Energy Physics, Valencia, Spain, 2 - 9 Jul 2014, pp.2488-2490
5.
A real-time FPGA-based cluster finding algorithm for LHCb silicon pixel detector / Bassi, Giovanni (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Giambastiani, Luca (Padua U.) ; Lazzari, Federico (INFN, Pisa ; INFN, Siena ; Siena U.) ; Morello, Michael J (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Pajero, Tommaso (Oxford U.) ; Punzi, Giovanni (INFN, Pisa ; Pisa U.)
Starting from the next LHC run, the upgraded LHCb High Level Trigger will process events at the full LHC collision rate (averaging 30 MHz). This challenging goal, tackled using a large and heterogeneous computing farm, can be eased addressing lowest-level, more repetitive tasks at the earliest stages of the data acquisition chain. [...]
2021 - 8 p. - Published in : EPJ Web Conf. 251 (2021) 04016 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.04016
6.
Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA / Lazzari, Federico (Universita & INFN Pisa (IT))
LHCb-TALK-2019-040.- Geneva : CERN, 2019 Fulltext: PDF;
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019
7.
Supergravity at 40: Reflections and Perspectives / Ferrara, S. (CERN ; Frascati ; UCLA) ; Sagnotti, A. (Pisa, Scuola Normale Superiore ; INFN, Pisa)
The fortieth anniversary of the original construction of Supergravity provides an opportunity to combine some reminiscences of its early days with an assessment of its impact on the quest for a quantum theory of gravity..
arXiv:1702.00743; CERN-TH-2017-005.- 2017-05-26 - 17 p. - Published in : J. Phys.: Conf. Ser.
- Published in : J. Phys.: Conf. Ser. Fulltext: fulltext - PDF; arXiv:1702.00743 - PDF; 1702.00743 - PDF;
In : 5th Symposium on Prospects in the Physics of Discrete Symmetries, Warsaw, Poland, 28 Nov - 3 Dec 2016, pp.279-295
8.
The last Complex WIMPs standing / Bottaro, Salvatore (Pisa, Scuola Normale Superiore ; INFN, Pisa) ; Buttazzo, Dario (INFN, Pisa) ; Costa, Marco (Pisa, Scuola Normale Superiore ; INFN, Pisa) ; Franceschini, Roberto (Rome III U. ; INFN, Rome3) ; Panci, Paolo (Pisa U. ; INFN, Pisa) ; Redigolo, Diego (CERN ; INFN, Florence) ; Vittorio, Ludovico (Pisa, Scuola Normale Superiore ; INFN, Pisa)
We continue the study of weakly interacting massive particles (WIMP) started in [arXiv:2107.09688], focusing on a single complex electroweak $n$-plet with non-zero hypercharge added to the Standard Model. The minimal splitting between the Dark Matter and its electroweak neutral partner required to circumvent direct detection constraints allows only multiplets with hypercharge smaller or equal to 1. [...]
arXiv:2205.04486; CERN-TH-2022-080.- 2022-11-05 - 28 p. - Published in : Eur. Phys. J. C 82 (2022) 992 Fulltext: 2205.04486 - PDF; document - PDF;
9.
Local multiboson factorization of the quark determinant / Cè, Marco (Helmholtz Inst., Mainz ; INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Giusti, Leonardo (CERN ; INFN, Milan Bicocca ; Milan Bicocca U.) ; Schaefer, Stefan (DESY, Zeuthen ; NIC, Zeuthen)
We discuss the recently proposed multiboson domain-decomposed factorization of the gauge-field dependence of the fermion determinant in lattice QCD. In particular, we focus on the case of a lattice divided in an arbitrary number of thick time slices. [...]
arXiv:1711.01592; HIM-2017-06; CERN-TH-2017-221; DESY-17-167; HIM-2017-06; CERN-TH-2017-221; DESY-17-167.- 2018 - 8 p. - Published in : EPJ Web Conf. 175 (2018) 11005 Fulltext: epjconf_lattice2018_11005 - PDF; 1711.01592 - PDF; Preprint: PDF;
In : 35th International Symposium on Lattice Field Theory, Granada, Spain, 18 - 24 Jun 2017, pp.11005
10.
Simulation and performance of an artificial retina for 40 MHz track reconstruction / Abba, A. (INFN, Milan ; Milan Polytechnic) ; Bedeschi, F. (INFN, Pisa ; U. Pisa (main)) ; Citterio, M. (INFN, Milan ; Milan Polytechnic) ; Caponio, F. (INFN, Milan ; Milan Polytechnic) ; Cusimano, A. (INFN, Milan ; Milan Polytechnic) ; Geraci, A. (INFN, Milan ; Milan Polytechnic) ; Marino, P. (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Morello, M.J. (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Neri, N. (INFN, Milan ; Milan Polytechnic) ; Punzi, G. (INFN, Pisa ; U. Pisa (main)) et al.
We present the results of a detailed simulation of the artificial retina pattern-recognition algorithm, designed to reconstruct events with hundreds of charged-particle tracks in pixel and silicon detectors at LHCb with LHC crossing frequency of 40MHz. The detailed geometry and charged-particle activity of a large tracking detector are simulated and used to assess the performance of the artificial retina algorithm. [...]
arXiv:1409.0898.- 2015-03-05 - 9 p. - Published in : JINST 10 (2015) C03008 Fulltext: PDF; External link: FERMILABCONF
In : WIT2014 Workshop on Intelligent Trackers, Philadelphia, USA, 14 - 16 May 2014, pp.C03008

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