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Comparison of two hardware-based hit filtering methods for trackers in high-pileup environments
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Fysiska sektionen, Institutionen för fysik och astronomi, Högenergifysik. Univ Grenoble Alpes, LPSC, 53 Ave Martyrs, F-38026 Grenoble, France.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Fysiska sektionen, Institutionen för fysik och astronomi, Högenergifysik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Fysiska sektionen, Institutionen för fysik och astronomi, Högenergifysik.
2018 (engelsk)Inngår i: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 13, artikkel-id P04019Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

As experiments in high energy physics aim to measure increasingly rare processes, the experiments continually strive to increase the expected signal yields. In the case of the High Luminosity upgrade of the LHC, the luminosity is raised by increasing the number of simultaneous proton-proton interactions, so-called pileup. This increases the expected yields of signal and background processes alike. The signal is embedded in a large background of processes that mimic that of signal events. It is therefore imperative for the experiments to develop new triggering methods to effectively distinguish the interesting events from the background.& para;& para;We present a comparison of two methods for filtering detector hits to be used for triggering on particle tracks: one based on a pattern matching technique using Associative Memory (AM) chips and the other based on the Hough transform. Their efficiency and hit rejection are evaluated for proton-proton collisions with varying amounts of pileup using a simulation of a generic silicon tracking detector. It is found that, while both methods are feasible options for a track trigger with single muon efficiencies around 98-99%, the AM based pattern matching produces a lower number of hit combinations with respect to the Hough transform whilst keeping more of the true signal hits. We also present the effect on the two methods of increasing the amount of support material in the detector and of introducing inefficiencies by deactivating detector modules. The increased support material has negligable effects on the efficiency for both methods, while dropping 5% (10%) of the available modules decreases the efficiency to about 95% (87%) for both methods, irrespective of the amount of pileup.

sted, utgiver, år, opplag, sider
2018. Vol. 13, artikkel-id P04019
Emneord [en]
Data reduction methods, Online farms and online filtering, Trigger algorithms, Particle tracking detectors
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-353216DOI: 10.1088/1748-0221/13/04/P04019ISI: 000430374800001OAI: oai:DiVA.org:uu-353216DiVA, id: diva2:1217340
Tilgjengelig fra: 2018-06-13 Laget: 2018-06-13 Sist oppdatert: 2019-08-08bibliografisk kontrollert
Inngår i avhandling
1. A search for leptoquarks with the ATLAS detector and hardware tracking at the High-Luminosity LHC
Åpne denne publikasjonen i ny fane eller vindu >>A search for leptoquarks with the ATLAS detector and hardware tracking at the High-Luminosity LHC
2019 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

This thesis presents a search for pair-production of scalar leptoquarks, decaying into third-generation particles, using proton-proton collisions delivered by the Large Hadron Collider (LHC) and recorded by the ATLAS detector. It also presents the development of a hardware track trigger for the Phase-II upgrade of the ATLAS experiment.

The search for pair-production of leptoquarks is performed using data collected by the ATLAS detector in 2015 and 2016 at a center-of-mass energy of 13 TeV. The total integrated luminosity of this data set amounts to 36.1 fb−1 . The search sensitivity is optimized for up-type leptoquarks where both leptoquarks decay to a b-quark and a τ -lepton. However, it also proves sensitive to down-type leptoquarks where both leptoquarks decay to a top-quark and a τ -lepton. The data is found to be compatible with the Standard Model, so exclusion limits are set on the leptoquark mass.

After the High Luminosity upgrade of the LHC, the ATLAS detector faces a 5–7 times increase in the number of simultaneous proton-proton collisions. To benefit from this increase in luminosity, the ATLAS detector has to maintain low trigger thresholds while keeping manageable trigger rates. A crucial part of the solution is the development of Hardware Tracking for the Trigger (HTT). The HTT first selects hit clusters in the inner tracking detector using associative memories and uses the selected clusters to perform linearized track-fits. This thesis presents the HTT system with focus on using the Hough transform as an alternative to associative memories to select clusters in the inner detector. The performance of the Hough transform is studied and a hardware implementation is discussed.

sted, utgiver, år, opplag, sider
Uppsala: Acta Universitatis Upsaliensis, 2019. s. 123
Serie
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1833
Emneord
Leptoquarks, Hough transform, LHC, ATLAS, HL-LHC, Particle physics, Particle tracking, Cluster finding, Trigger
HSV kategori
Forskningsprogram
Fysik med inriktning mot elementarpartikelfysik
Identifikatorer
urn:nbn:se:uu:diva-390352 (URN)978-91-513-0707-7 (ISBN)
Disputas
2019-09-27, Polhemsalen, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2019-09-04 Laget: 2019-08-08 Sist oppdatert: 2019-09-17

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