Search for heavy long-lived multi-charged particles in the full LHC Run 2 $pp$ collision data at $\sqrt{s}$ = 13 TeV using the ATLAS detector

ArXiv 2303.13613 (2023)

Comparison of inclusive and photon-tagged jet suppression in 5.02 TeV Pb+Pb collisions with ATLAS

ArXiv 2303.1009 (2023)

Search for excited $τ$-leptons and leptoquarks in the final state with $τ$-leptons and jets in pp collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

ArXiv 2303.09444 (2023)

Timing performance of radiation hard MALTA monolithic pixel sensors

Journal of Instrumentation IOP Publishing 18:03 (2023) C03011-C03011

Authors:

G Gustavino, P Allport, I Asensi, DV Berlea, D Bortoletto, C Buttar, F Dachs, V Dao, H Denizli, D Dobrijevic, L Flores, A Gabrielli, L Gonella, V González, M LeBlanc, K Oyulmaz, H Pernegger, F Piro, P Riedler, H Sandaker, C Solans, W Snoeys, T Suligoj, M van Rijnbach, A Sharma

Abstract:

The MALTA family of Depleted Monolithic Active Pixel Sensor (DMAPS) produced in Tower 180 nm CMOS technology targets radiation hard applications for the HL-LHC and beyond. Several process modifications and front-end improvements have resulted in radiation hardness up to $2 \times 10^{15}~1~\text{MeV}~\text{n}_{eq}/\text{cm}^2$ and time resolution below 2 ns, with uniform charge collection efficiency across the Pixel of size $36.4 \times 36.4~\mu\text{m}^2$ with a $3~\mu\text{m}^2$ electrode size. The MALTA2 demonstrator produced in 2021 on high-resistivity epitaxial silicon and on Czochralski substrates implements a new cascoded front-end that reduces the RTS noise and has a higher gain. This contribution shows results from MALTA2 on timing resolution at the nanosecond level from the CERN SPS test-beam campaign of 2021.Comment: 8 pages, 8 figures. Submitted to Journal of Instrumentation (JINST). Proceedings of the 23rd International Workshop on Radiation Imaging Detectors IWORID 202

The ATLAS EventIndex

Computing and Software for Big Science Springer 7:1 (2023) 2

Authors:

Dario Barberis, Igor Alexandrov, Evgeny Alexandrov, Zbigniew Baranowski, Luca Canali, Elizaveta Cherepanova, Gancho Dimitrov, Andrea Favareto, Álvaro Fernández Casaní, Elizabeth J Gallas, Carlos García Montoro, Santiago González de la Hoz, Julius Hřivnáč, Alexander Iakovlev, Andrei Kazymov, Mikhail Mineev, Fedor Prokoshin, Grigori Rybkin, José Salt, Javier Sánchez, Roman Sorokoletov, Rainer Többicke, Petya Vasileva, Miguel Villaplana Perez, Ruijun Yuan

Abstract:

The ATLAS EventIndex system comprises the catalogue of all events collected, processed or generated by the ATLAS experiment at the CERN LHC accelerator, and all associated software tools to collect, store and query this information. ATLAS records several billion particle interactions every year of operation, processes them for analysis and generates even larger simulated data samples; a global catalogue is needed to keep track of the location of each event record and be able to search and retrieve specific events for in-depth investigations. Each EventIndex record includes summary information on the event itself and the pointers to the files containing the full event. Most components of the EventIndex system are implemented using BigData free and open-source software. This paper describes the architectural choices and their evolution in time, as well as the past, current and foreseen future implementations of all EventIndex components.