1.
|
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
|
|
2.
|
|
3.
|
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
|
|
4.
|
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;
|
|
5.
|
The artificial retina processor for track reconstruction at the LHC crossing rate
/ Abba, A. (INFN, Milan ; Milan Polytechnic) ; Bedeschi, F. (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; 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 ; Pisa, Scuola Normale Superiore) et al.
We present results of an R&D; study for a specialized processor capable of precisely reconstructing, in pixel detectors, hundreds of charged-particle tracks from high-energy collisions at 40 MHz rate. We apply a highly parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature, and describe in detail an efficient hardware implementation in high-speed, high-bandwidth FPGA devices. [...]
arXiv:1409.1565; FERMILAB-CONF-14-610-CMS.-
2015-03-16 - 9 p.
- Published in : JINST 10 (2015) C03018
Fulltext: arXiv:1409.1565 - PDF; fermilab-conf-14-610-cms - PDF; External link: Fermilab Accepted Manuscript
In : WIT2014 Workshop on Intelligent Trackers, Philadelphia, USA, 14 - 16 May 2014, pp.C03018
|
|
6.
|
About the rapidity and helicity distributions of the W bosons produced at LHC
/ Manca, Elisabetta (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Cerri, Olmo (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Foppiani, Nicolo (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Rolandi, Gigi (INFN, Pisa ; CERN ; Pisa, Scuola Normale Superiore)
$W$ bosons are produced at LHC from a forward-backward symmetric initial state. Their decay to a charged lepton and a neutrino has a strong spin analysing power. [...]
arXiv:1707.09344.-
2017-12-22 - 8 p.
- Published in : JHEP 12 (2017) 130
Article from SCOAP3: scoap3-fulltext - PDF; scoap - PDF; Fulltext: PDF;
|
|
7.
|
|
|
The associative memory system for the FTK processor at ATLAS
/ Magalotti, D (Modena U.) ; Citraro, S (Pisa U.) ; Donati, S (Pisa U.) ; Luciano, P (Pisa U.) ; Piendibene, M (Pisa U.) ; Giannetti, P (INFN, Pisa) ; Lanza, A (INFN, Pavia ; Pavia U.) ; Verzellesi, G (U. Modena (main)) ; Sakellariou, Andreas (IASA, Athens) ; Billereau, W (CERN) et al.
In high energy physics experiments, the most interesting processes are very rare and hidden in an extremely large level of background. [...]
ATL-DAQ-PROC-2013-024.
-
2014. - 6 p.
Original Communication (restricted to ATLAS) - Full text
|
|
8.
|
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
|
|
9.
|
Fast algorithm for real-time rings reconstruction
/ Ammendola, R (Rome U., Tor Vergata) ; Bauce, M (INFN, Rome ; Rome U. ; CERN) ; Biagioni, A (INFN, Rome) ; Capuani, S (Rome U. ; CERN) ; Chiozzi, S (INFN, Ferrara ; Ferrara U.) ; Ramusino, A Cotta (INFN, Ferrara ; Ferrara U.) ; Domenico, G Di (INFN, Ferrara ; Ferrara U.) ; Fantechi, R (INFN, Rome ; INFN, Pisa) ; Fiorini, M (INFN, Ferrara ; Ferrara U.) ; Giagu, S (INFN, Rome ; CERN) et al.
2015 - 9 p.
- Published in : 10.3204/DESY-PROC-2014-05/42
Fulltext: PDF;
In : GPU in High Energy Physics, Pisa, Italy, 10 - 12 Sep 2014, pp.225-233
|
|
10.
|
Closing the window on WIMP Dark Matter
/ Bottaro, Salvatore (Pisa, Scuola Normale Superiore ; INFN, Pisa) ; Buttazzo, Dario (INFN, Pisa) ; Costa, Marco (Pisa, Scuola Normale Superiore ; INFN, Pisa) ; Franceschini, Roberto (INFN, Rome3 ; Rome III U.) ; Panci, Paolo (INFN, Pisa ; Pisa U.) ; Redigolo, Diego (CERN ; INFN, Florence) ; Vittorio, Ludovico (Pisa, Scuola Normale Superiore ; INFN, Pisa)
We study scenarios where Dark Matter is a weakly interacting particle (WIMP) embedded in an ElectroWeak multiplet. In particular, we consider real SU(2) representations with zero hypercharge, that automatically avoid direct detection constraints from tree-level $Z$-exchange. [...]
arXiv:2107.09688.-
2022-01-12 - 28 p.
- Published in : Eur. Phys. J. C 82 (2022) 31
Fulltext: 2107.09688 - PDF; document - PDF;
|
|