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Search for direct production of electroweakinos in final states with one lepton, missing transverse momentum and a Higgs boson decaying into two $b$-jets in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

ArXiv 1909.09226 (2019)
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Measurement of the relative response of TowerJazz Mini-MALTA CMOS prototypes at Diamond Light Source

(2019)

Authors:

Maria Mironova, Kaloyan Metodiev, Phil Allport, Ivan Berdalovic, Daniela Bortoletto, Craig Buttar, Roberto Cardella, Valerio Dao, Mateusz Dyndal, Patrick Freeman, Leyre Flores Sanz de Acedo, Laura Gonella, Thanushan Kugathasan, Heinz Pernegger, Francesco Piro, Richard Plackett, Petra Riedler, Abhishek Sharma, Enrico Junior Schioppa, Ian Shipsey, Carlos Solans Sanchez, Walter Snoeys, Hakan Wennloef, Daniel Weatherill, Daniel Wood, Steven Worm
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Search for squarks and gluinos in final states with same-sign leptons and jets using 139 fb$^{-1}$ of data collected with the ATLAS detector

ArXiv 1909.08457 (2019)
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A prototype for the evolution of ATLAS EventIndex based on Apache Kudu storage

EPJ Web of Conferences EDP Sciences 214 (2019)

Authors:

Z Baranowski, L Canali, AF Casani, Elizabeth Gallas, CG Montoro, S Gonzalez De La Hoz, J Hrivnac, F Prokoshin, G Rybkine, J Salt, J Sanchez, D Barberis

Abstract:

The ATLAS EventIndex has been in operation since the beginning of LHC Run 2 in 2015. Like all software projects, its components have been constantly evolving and improving in performance. The main data store in Hadoop, based on MapFiles and HBase, can work for the rest of Run 2 but new solutions are explored for the future. Kudu offers an interesting environment, with a mixture of BigData and relational database features, which look promising at the design level. This environment is used to build a prototype to measure the scaling capabilities as functions of data input rates, total data volumes and data query and retrieval rates. In this proceedings we report on the selected data schemas and on the current performance measurements with the Kudu prototype.
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Conditions evolution of an experiment in mid-life, without the crisis (in ATLAS)

23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018) EPJ Web of Conferences 214 (2019)

Authors:

Elizabeth Gallas, A Formica, L Rinaldi, S Roe, N Ozturk

Abstract:

The ATLAS experiment is approaching mid-life: the long shutdown period (LS2) between LHC Runs 1 and 2 (ending in 2018) and the future collision data-taking of Runs 3 and 4 (starting in 2021). In advance of LS2, we have been assessing the future viability of existing computing infrastructure systems. This will permit changes to be implemented in time for Run 3. In systems with broad impact such as the conditions database, making assessments now is critical as the full chain of operations from online data-taking to offline processing can be considered: evaluating capacity at peak times, looking for bottlenecks, identifying areas of high maintenance, and considering where new technology may serve to do more with less. We have been considering changes to the ATLAS Conditions Database related storage and distribution infrastructure based on similar systems of other experiments. We have also examined how new technologies may help and how we might provide more RESTful services to clients. In this presentation, we give an overview of the identified constraints and considerations, and our conclusions for the best way forward: balancing preservation of critical elements of the existing system with the deployment of the new technology in areas where the existing system falls short.
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