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Zach Marshall

Researcher at Lawrence Berkeley National Laboratory

Publications -  627
Citations -  61070

Zach Marshall is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 112, co-authored 508 publications receiving 56674 citations. Previous affiliations of Zach Marshall include Universidade Nova de Lisboa & University of Pennsylvania.

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HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators

Efe Yazgan, +36 more
- 30 Sep 2021 - 
TL;DR: The second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing is due to take place in November 2021 as discussed by the authors, and the work in this paper complements previous documents prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group (WG).
DOI

Operation and performance of the ATLAS semiconductor tracker in LHC Run 2

Georges Aad, +2891 more
TL;DR: The semiconductor tracker (SCT) is one of the tracking systems for charged particles in the ATLAS detector as discussed by the authors , and it consists of 4088 silicon strip sensor modules, which achieved a data-quality efficiency of 99.85%.
Journal ArticleDOI

Search for third-generation vector-like leptons in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector

Georges Aad, +2821 more
- 13 Jul 2023 - 
Journal ArticleDOI

Search for long-lived, massive particles in events with displaced vertices and multiple jets in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector

Georges Aad, +2826 more
- 29 Jun 2023 - 
TL;DR: In this paper , a search for long-lived particles decaying into hadrons is presented using 139 fb − 1 of pp collision data collected at the ATLAS detector at the LHC using events that contain multiple energetic jets and a displaced vertex.
Journal ArticleDOI

Constraints on Future Analysis Metadata Systems in High Energy Physics

Teng Jian Khoo, +24 more
- 27 Jul 2022 - 
TL;DR: In this article , the authors present a list of best practices and technical requirements for future analysis metadata systems, including sociological factors, analysis preservation efforts, and technical factors, which could guide the development of a future cross-experimental effort for analysis metadata tools.