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  1. Book ; Online: What the new RooFit can do for your analysis

    Hageboeck, Stephan

    2020  

    Abstract: RooFit is a toolkit for statistical modelling and fitting, and together with RooStats it is used for measurements and statistical tests by most experiments in particle physics. Since one year, RooFit is being modernised. In this talk, improvements ... ...

    Abstract RooFit is a toolkit for statistical modelling and fitting, and together with RooStats it is used for measurements and statistical tests by most experiments in particle physics. Since one year, RooFit is being modernised. In this talk, improvements already released with ROOT will be discussed, such as faster data loading, vectorised computations and more standard-like interfaces. These allow for speeding up unbinned fits by several factors, and make RooFit easier to use from both C++ and Python.

    Comment: 6 pages, 4 figures, submitted to Proceedings of Science (ICHEP 2020) v2: Minor rephrasing to address comments by reviewers
    Keywords Physics - Data Analysis ; Statistics and Probability ; Computer Science - Mathematical Software ; High Energy Physics - Experiment
    Publishing date 2020-12-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: A Faster, More Intuitive RooFit

    Hageboeck, Stephan

    2020  

    Abstract: RooFit and RooStats, the toolkits for statistical modelling in ROOT, are used in most searches and measurements at the Large Hadron Collider as well as at $B$ factories. Larger datasets to be collected at e.g. the High-Luminosity LHC will enable ... ...

    Abstract RooFit and RooStats, the toolkits for statistical modelling in ROOT, are used in most searches and measurements at the Large Hadron Collider as well as at $B$ factories. Larger datasets to be collected at e.g. the High-Luminosity LHC will enable measurements with higher precision, but will require faster data processing to keep fitting times stable. In this work, a simplification of RooFit's interfaces and a redesign of its internal dataflow is presented. Interfaces are being extended to look and feel more STL-like to be more accessible both from C++ and Python to improve interoperability and ease of use, while maintaining compatibility with old code. The redesign of the dataflow improves cache locality and data loading, and can be used to process batches of data with vectorised SIMD computations. This reduces the time for computing unbinned likelihoods by a factor four to 16. This will allow to fit larger datasets of the future in the same time or faster than today's fits.

    Comment: 6 pages, 2 figures. Proceedings of 24th International Conference on Computing in High Energy & Nuclear Physics. Submitted to EPJ Web of Conferences v2: Correct a function name, minor improvements of wording suggested by reviewer v3: Update a code listing
    Keywords Computer Science - Mathematical Software ; High Energy Physics - Experiment ; Physics - Data Analysis ; Statistics and Probability
    Publishing date 2020-03-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Making RooFit Ready for Run 3

    Hageboeck, Stephan / Moneta, Lorenzo

    2020  

    Abstract: RooFit and RooStats, the toolkits for statistical modelling in ROOT, are used in most searches and measurements at the Large Hadron Collider. The data to be collected in Run 3 will enable measurements with higher precision and models with larger ... ...

    Abstract RooFit and RooStats, the toolkits for statistical modelling in ROOT, are used in most searches and measurements at the Large Hadron Collider. The data to be collected in Run 3 will enable measurements with higher precision and models with larger complexity, but also require faster data processing. In this work, first results on modernising RooFit's collections, restructuring data flow and vectorising likelihood fits in RooFit will be discussed. These improvements will enable the LHC experiments to process larger datasets without having to compromise with respect to model complexity, as fitting times would increase significantly with the large datasets to be expected in Run 3.

    Comment: 5 pages, 5 figures. Proceedings of ACAT 2019. Submitted to Journal Of Physics: Conference Series
    Keywords Computer Science - Mathematical Software ; High Energy Physics - Experiment ; Physics - Data Analysis ; Statistics and Probability
    Publishing date 2020-03-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs

    Valassi, Andrea / Roiser, Stefan / Mattelaer, Olivier / Hageboeck, Stephan

    2021  

    Abstract: Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving the software performance of these packages on modern hardware ... ...

    Abstract Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving the software performance of these packages on modern hardware architectures, such as those deployed at HPC centers, is essential in view of the upcoming HL-LHC physics programme. In this paper, we describe an ongoing activity to reengineer the Madgraph5_aMC@NLO physics event generator, primarily to port it and allow its efficient execution on GPUs, but also to modernize it and optimize its performance on vector CPUs. We describe the motivation, engineering process and software architecture design of our developments, as well as the current challenges and future directions for this project. This paper is based on our submission to vCHEP2021 in March 2021,complemented with a few preliminary results that we presented during the conference. Further details and updated results will be given in later publications.

    Comment: 17 pages, 6 figures, submitted to vCHEP2021 proceedings in EPJ Web of Conferences; minor changes to address comments from the EPJWOC reviewer
    Keywords Physics - Computational Physics ; Computer Science - Software Engineering ; High Energy Physics - Experiment ; High Energy Physics - Phenomenology
    Subject code 028
    Publishing date 2021-06-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Offloading electromagnetic shower transport to GPUs

    Amadio, G. / Apostolakis, J. / Buncic, P. / Cosmo, G. / Dosaru, D. / Gheata, A. / Hageboeck, S. / Hahnfeld, J. / Hodgkinson, M. / Morgan, B. / Novak, M. / Petre, A. A. / Pokorski, W. / Ribon, A. / Stewart, G. A. / Vila, P. M.

    2022  

    Abstract: Making general particle transport simulation for high-energy physics (HEP) single-instruction-multiple-thread (SIMT) friendly, to take advantage of accelerator hardware, is an important alternative for boosting the throughput of simulation applications. ... ...

    Abstract Making general particle transport simulation for high-energy physics (HEP) single-instruction-multiple-thread (SIMT) friendly, to take advantage of accelerator hardware, is an important alternative for boosting the throughput of simulation applications. To date, this challenge is not yet resolved, due to difficulties in mapping the complexity of Geant4 components and workflow to the massive parallelism features exposed by graphics processing units (GPU). The AdePT project is one of the R\&D initiatives tackling this limitation and exploring GPUs as potential accelerators for offloading some part of the CPU simulation workload. Our main target is to implement a complete electromagnetic shower demonstrator working on the GPU. The project is the first to create a full prototype of a realistic electron, positron, and gamma electromagnetic shower simulation on GPU, implemented as either a standalone application or as an extension of the standard Geant4 CPU workflow. Our prototype currently provides a platform to explore many optimisations and different approaches. We present the most recent results and initial conclusions of our work, using both a standalone GPU performance analysis and a first implementation of a hybrid workflow based on Geant4 on the CPU and AdePT on the GPU.

    Comment: 8 pages, 4 figures, 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), to be published in Journal of Physics: Conference Series, editor Andrei Gheata
    Keywords High Energy Physics - Experiment ; I.6.8
    Subject code 621
    Publishing date 2022-09-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Unravelling the JPMorgan spoofing case using particle physics visualization methods

    Debie, Philippe / Gardebroek, Cornelis / Hageboeck, Stephan / van Leeuwen, Paul / Moneta, Lorenzo / Naumann, Axel / Pennings, Joost M.E. / Trujillo-Barrera, Andres A. / Verhulst, Marjolein E.

    European financial management

    2023  Volume 29, Issue 1

    Abstract: On 29 September 2020, JPMorgan was ordered to pay a settlement of $920.2 million for spoofing the metals and Treasury futures markets from 2008 to 2016. We examine these cases using a visualization method developed in particle physics (CERN) and the ... ...

    Abstract On 29 September 2020, JPMorgan was ordered to pay a settlement of $920.2 million for spoofing the metals and Treasury futures markets from 2008 to 2016. We examine these cases using a visualization method developed in particle physics (CERN) and the messages that the exchange receives about market activity rather than time-based snapshots. This approach allows to examine multiple indicators related to market manipulation and complement existing research methods, thereby enhancing the identification and understanding of, as well as the motivation for, market manipulation. In the JPMorgan cases, we offer an alternative motivation for spoofing than moving the price.
    Keywords high-frequency trading ; limit order book ; particle physics ; spoofing ; visualization
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 1480712-9
    ISSN 1468-036X ; 1354-7798
    ISSN (online) 1468-036X
    ISSN 1354-7798
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Conference proceedings ; Online: The Effect of Price Limits on Liquidity

    Verhulst, M.E. / Pennings, J.M.E. / Gardebroek, C. / Debie, P.M.M. / van Leeuwen, Paul / Naumann, A. / Hageboeck, Stephan / Moneta, L. / Trujillo Barrera, A.A.

    A Natural Experiment

    2021  

    Keywords Life Science
    Language English
    Publishing country nl
    Document type Article ; Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: When two worlds collide

    Verhulst, Marjolein E. / Debie, Philippe / Hageboeck, Stephan / Pennings, Joost M.E. / Gardebroek, Cornelis / Naumann, Axel / van Leeuwen, Paul / Trujillo-Barrera, Andres A. / Moneta, Lorenzo

    Journal of Futures Markets

    Using particle physics tools to visualize the limit order book

    2021  Volume 41, Issue 11

    Abstract: We introduce a methodology to visualize the limit order book (LOB) using a particle physics lens. Open-source data-analysis tool ROOT, developed by CERN, is used to reconstruct and visualize futures markets. Message-based data is used, rather than ... ...

    Abstract We introduce a methodology to visualize the limit order book (LOB) using a particle physics lens. Open-source data-analysis tool ROOT, developed by CERN, is used to reconstruct and visualize futures markets. Message-based data is used, rather than snapshots, as it offers numerous visualization advantages. The visualization method can include multiple variables and markets simultaneously and is not necessarily time dependent. Stakeholders can use it to visualize high-velocity data to gain a better understanding of markets or effectively monitor markets. In addition, the method is easily adjustable to user specifications to examine various LOB research topics, thereby complementing existing methods.
    Keywords ROOT ; limit order book ; liquidity ; particle physics ; visualization
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 2002201-3
    ISSN 1096-9934 ; 0270-7314
    ISSN (online) 1096-9934
    ISSN 0270-7314
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Software Training in HEP.

    Malik, Sudhir / Meehan, Samuel / Lieret, Kilian / Oan Evans, Meirin / Villanueva, Michel H / Katz, Daniel S / Stewart, Graeme A / Elmer, Peter / Aziz, Sizar / Bellis, Matthew / Bianchi, Riccardo Maria / Bianco, Gianluca / Bonilla, Johan Sebastian / Burger, Angela / Burzynski, Jackson / Chamont, David / Feickert, Matthew / Gadow, Philipp / Gruber, Bernhard Manfred /
    Guest, Daniel / Hageboeck, Stephan / Heinrich, Lukas / Horzela, Maximilian M / Huwiler, Marc / Lange, Clemens / Lehmann, Konstantin / Li, Ke / Majumder, Devdatta / Mamužić, Judita / Nelson, Kevin / Newhouse, Robin / Nibigira, Emery / Norberg, Scarlet / Pineda, Arturo Sánchez / Proffitt, Mason / Regnery, Brendan / Roepe, Amber / Roiser, Stefan / Schreiner, Henry / Shadura, Oksana / Stark, Giordon / Swatman, Stephen Nicholas / Thais, Savannah / Valassi, Andrea / Wunsch, Stefan / Yakobovitch, David / Yuan, Siqi

    Computing and software for big science

    2021  Volume 5, Issue 1, Page(s) 22

    Abstract: The long-term sustainability of the high-energy physics (HEP) research software ecosystem is essential to the field. With new facilities and upgrades coming online throughout the 2020s, this will only become increasingly important. Meeting the ... ...

    Abstract The long-term sustainability of the high-energy physics (HEP) research software ecosystem is essential to the field. With new facilities and upgrades coming online throughout the 2020s, this will only become increasingly important. Meeting the sustainability challenge requires a workforce with a combination of HEP domain knowledge and advanced software skills. The required software skills fall into three broad groups. The first is fundamental and generic software engineering (e.g., Unix, version control, C++, and continuous integration). The second is knowledge of domain-specific HEP packages and practices (e.g., the ROOT data format and analysis framework). The third is more advanced knowledge involving specialized techniques, including parallel programming, machine learning and data science tools, and techniques to maintain software projects at all scales. This paper discusses the collective software training program in HEP led by the HEP Software Foundation (HSF) and the Institute for Research and Innovation in Software in HEP (IRIS-HEP). The program equips participants with an array of software skills that serve as ingredients for the solution of HEP computing challenges. Beyond serving the community by ensuring that members are able to pursue research goals, the program serves individuals by providing intellectual capital and transferable skills important to careers in the realm of software and computing, inside or outside HEP.
    Language English
    Publishing date 2021-10-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2908677-2
    ISSN 2510-2044 ; 2510-2036
    ISSN (online) 2510-2044
    ISSN 2510-2036
    DOI 10.1007/s41781-021-00069-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Measurement of Azimuthal Anisotropy of Muons from Charm and Bottom Hadrons in pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

    Aad, G / Abbott, B / Abbott, D C / Abed Abud, A / Abeling, K / Abhayasinghe, D K / Abidi, S H / AbouZeid, O S / Abraham, N L / Abramowicz, H / Abreu, H / Abulaiti, Y / Acharya, B S / Achkar, B / Adachi, S / Adam, L / Adam Bourdarios, C / Adamczyk, L / Adamek, L /
    Adelman, J / Adersberger, M / Adiguzel, A / Adorni, S / Adye, T / Affolder, A A / Afik, Y / Agapopoulou, C / Agaras, M N / Aggarwal, A / Agheorghiesei, C / Aguilar-Saavedra, J A / Ahmadov, F / Ahmed, W S / Ai, X / Aielli, G / Akatsuka, S / Åkesson, T P A / Akilli, E / Akimov, A V / Al Khoury, K / Alberghi, G L / Albert, J / Alconada Verzini, M J / Alderweireldt, S / Aleksa, M / Aleksandrov, I N / Alexa, C / Alexandre, D / Alexopoulos, T / Alfonsi, A / Alfonsi, F / Alhroob, M / Ali, B / Alimonti, G / Alison, J / Alkire, S P / Allaire, C / Allbrooke, B M M / Allen, B W / Allport, P P / Aloisio, A / Alonso, A / Alonso, F / Alpigiani, C / Alshehri, A A / Alvarez Estevez, M / Álvarez Piqueras, D / Alviggi, M G / Amaral Coutinho, Y / Ambler, A / Ambroz, L / Amelung, C / Amidei, D / Amor Dos Santos, S P / Amoroso, S / Amrouche, C S / An, F / Anastopoulos, C / Andari, N / Andeen, T / Anders, C F / Anders, J K / Andreazza, A / Andrei, V / Anelli, C R / Angelidakis, S / Angerami, A / Anisenkov, A V / Annovi, A / Antel, C / Anthony, M T / Antipov, E / Antonelli, M / Antrim, D J A / Anulli, F / Aoki, M / Aparisi Pozo, J A / Aperio Bella, L / Arabidze, G / Araque, J P / Araujo Ferraz, V / Araujo Pereira, R / Arcangeletti, C / Arce, A T H / Arduh, F A / Arguin, J-F / Argyropoulos, S / Arling, J-H / Armbruster, A J / Armstrong, A / Arnaez, O / Arnold, H / Arrubarrena Tame, Z P / Artamonov, A / Artoni, G / Artz, S / Asai, S / Asbah, N / Asimakopoulou, E M / Asquith, L / Assahsah, J / Assamagan, K / Astalos, R / Atkin, R J / Atkinson, M / Atlay, N B / Atmani, H / Augsten, K / Avolio, G / Avramidou, R / Ayoub, M K / Azoulay, A M / Azuelos, G / Bachacou, H / Bachas, K / Backes, M / Backman, F / Bagnaia, P / Bahmani, M / Bahrasemani, H / Bailey, A J / Bailey, V R / Baines, J T / Bajic, M / Bakalis, C / Baker, O K / Bakker, P J / Bakshi Gupta, D / Balaji, S / Baldin, E M / Balek, P / Balli, F / Balunas, W K / Balz, J / Banas, E / Bandyopadhyay, A / Banerjee, Sw / Bannoura, A A E / Barak, L / Barbe, W M / Barberio, E L / Barberis, D / Barbero, M / Barbour, G / Barillari, T / Barisits, M-S / Barkeloo, J / Barklow, T / Barnea, R / Barnes, S L / Barnett, B M / Barnett, R M / Barnovska-Blenessy, Z / Baroncelli, A / Barone, G / Barr, A J / Barranco Navarro, L / Barreiro, F / Barreiro Guimarães da Costa, J / Barsov, S / Bartoldus, R / Bartolini, G / Barton, A E / Bartos, P / Basalaev, A / Bassalat, A / Basso, M J / Bates, R L / Batlamous, S / Batley, J R / Batool, B / Battaglia, M / Bauce, M / Bauer, F / Bauer, K T / Bawa, H S / Beacham, J B / Beau, T / Beauchemin, P H / Becherer, F / Bechtle, P / Beck, H C / Beck, H P / Becker, K / Becker, M / Becot, C / Beddall, A / Beddall, A J / Bednyakov, V A / Bedognetti, M / Bee, C P / Beermann, T A / Begalli, M / Begel, M / Behera, A / Behr, J K / Beisiegel, F / Bell, A S / Bella, G / Bellagamba, L / Bellerive, A / Bellos, P / Beloborodov, K / Belotskiy, K / Belyaev, N L / Benchekroun, D / Benekos, N / Benhammou, Y / Benjamin, D P / Benoit, M / Bensinger, J R / Bentvelsen, S / Beresford, L / Beretta, M / Berge, D / Bergeaas Kuutmann, E / Berger, N / Bergmann, B / Bergsten, L J / Beringer, J / Berlendis, S / Bernardi, G / Bernius, C / Bernlochner, F U / Berry, T / Berta, P / Bertella, C / Bertram, I A / Bessidskaia Bylund, O / Besson, N / Bethani, A / Bethke, S / Betti, A / Bevan, A J / Beyer, J / Bhattacharya, D S / Bhattarai, P / Bi, R / Bianchi, R M / Biebel, O / Biedermann, D / Bielski, R / Bierwagen, K / Biesuz, N V / Biglietti, M / Billoud, T R V / Bindi, M / Bingul, A / Bini, C / Biondi, S / Birman, M / Bisanz, T / Biswal, J P / Biswas, D / Bitadze, A / Bittrich, C / Bjørke, K / Black, K M / Blazek, T / Bloch, I / Blocker, C / Blue, A / Blumenschein, U / Bobbink, G J / Bobrovnikov, V S / Bocchetta, S S / Bocci, A / Boerner, D / Bogavac, D / Bogdanchikov, A G / Bohm, C / Boisvert, V / Bokan, P / Bold, T / Boldyrev, A S / Bolz, A E / Bomben, M / Bona, M / Bonilla, J S / Boonekamp, M / Booth, C D / Borecka-Bielska, H M / Borisov, A / Borissov, G / Bortfeldt, J / Bortoletto, D / Boscherini, D / Bosman, M / Bossio Sola, J D / Bouaouda, K / Boudreau, J / Bouhova-Thacker, E V / Boumediene, D / Boutle, S K / Boveia, A / Boyd, J / Boye, D / Boyko, I R / Bozson, A J / Bracinik, J / Brahimi, N / Brandt, G / Brandt, O / Braren, F / Brau, B / Brau, J E / Breaden Madden, W D / Brendlinger, K / Brenner, L / Brenner, R / Bressler, S / Brickwedde, B / Briglin, D L / Britton, D / Britzger, D / Brock, I / Brock, R / Brooijmans, G / Brooks, W K / Brost, E / Broughton, J H / Bruckman de Renstrom, P A / Bruncko, D / Bruni, A / Bruni, G / Bruni, L S / Bruno, S / Bruschi, M / Bruscino, N / Bryant, P / Bryngemark, L / Buanes, T / Buat, Q / Buchholz, P / Buckley, A G / Budagov, I A / Bugge, M K / Bührer, F / Bulekov, O / Burch, T J / Burdin, S / Burgard, C D / Burger, A M / Burghgrave, B / Burr, J T P / Burton, C D / Burzynski, J C / Büscher, V / Buschmann, E / Bussey, P J / Butler, J M / Buttar, C M / Butterworth, J M / Butti, P / Buttinger, W / Buxo Vazquez, C J / Buzatu, A / Buzykaev, A R / Cabras, G / Cabrera Urbán, S / Caforio, D / Cai, H / Cairo, V M M / Cakir, O / Calace, N / Calafiura, P / Calandri, A / Calderini, G / Calfayan, P / Callea, G / Caloba, L P / Calvente Lopez, S / Calvet, D / Calvet, S / Calvet, T P / Calvetti, M / Camacho Toro, R / Camarda, S / Camarero Munoz, D / Camarri, P / Cameron, D / Caminal Armadans, R / Camincher, C / Campana, S / Campanelli, M / Camplani, A / Campoverde, A / Canale, V / Canesse, A / Cano Bret, M / Cantero, J / Cao, T / Cao, Y / Capeans Garrido, M D M / Capua, M / Cardarelli, R / Cardillo, F / Carducci, G / Carli, I / Carli, T / Carlino, G / Carlson, B T / Carminati, L / Carney, R M D / Caron, S / Carquin, E / Carrá, S / Carter, J W S / Casado, M P / Casha, A F / Casper, D W / Castelijn, R / Castillo, F L / Castillo Gimenez, V / Castro, N F / Catinaccio, A / Catmore, J R / Cattai, A / Caudron, J / Cavaliere, V / Cavallaro, E / Cavalli-Sforza, M / Cavasinni, V / Celebi, E / Ceradini, F / Cerda Alberich, L / Cerny, K / Cerqueira, A S / Cerri, A / Cerrito, L / Cerutti, F / Cervelli, A / Cetin, S A / Chadi, Z / Chakraborty, D / Chan, S K / Chan, W S / Chan, W Y / Chapman, J D / Chargeishvili, B / Charlton, D G / Charman, T P / Chau, C C / Che, S / Chekanov, S / Chekulaev, S V / Chelkov, G A / Chelstowska, M A / Chen, B / Chen, C / Chen, C H / Chen, H / Chen, J / Chen, S / Chen, S J / Chen, X / Chen, Y / Chen, Y-H / Cheng, H C / Cheng, H J / Cheplakov, A / Cheremushkina, E / Cherkaoui El Moursli, R / Cheu, E / Cheung, K / Chevalérias, T J A / Chevalier, L / Chiarella, V / Chiarelli, G / Chiodini, G / Chisholm, A S / Chitan, A / Chiu, I / Chiu, Y H / Chizhov, M V / Choi, K / Chomont, A R / Chouridou, S / Chow, Y S / Chu, M C / Chu, X / Chudoba, J / Chuinard, A J / Chwastowski, J J / Chytka, L / Cieri, D / Ciesla, K M / Cinca, D / Cindro, V / Cioară, I A / Ciocio, A / Cirotto, F / Citron, Z H / Citterio, M / Ciubotaru, D A / Ciungu, B M / Clark, A / Clark, M R / Clark, P J / Clement, C / Coadou, Y / Cobal, M / Coccaro, A / Cochran, J / Cohen, H / Coimbra, A E C / Colasurdo, L / Cole, B / Colijn, A P / Collot, J / Conde Muiño, P / Coniavitis, E / Connell, S H / Connelly, I A / Constantinescu, S / Conventi, F / Cooper-Sarkar, A M / Cormier, F / Cormier, K J R / Corpe, L D / Corradi, M / Corrigan, E E / Corriveau, F / Cortes-Gonzalez, A / Costa, M J / Costanza, F / Costanzo, D / Cowan, G / Cowley, J W / Crane, J / Cranmer, K / Crawley, S J / Creager, R A / Crépé-Renaudin, S / Crescioli, F / Cristinziani, M / Croft, V / Crosetti, G / Cueto, A / Cuhadar Donszelmann, T / Cukierman, A R / Cunningham, W R / Czekierda, S / Czodrowski, P / Da Cunha Sargedas De Sousa, M J / Da Fonseca Pinto, J V / Da Via, C / Dabrowski, W / Dado, T / Dahbi, S / Dai, T / Dallapiccola, C / Dam, M / D'amen, G / D'Amico, V / Damp, J / Dandoy, J R / Daneri, M F / Dang, N P / Dann, N S / Danninger, M / Dao, V / Darbo, G / 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    Physical review letters

    2020  Volume 124, Issue 8, Page(s) 82301

    Abstract: The elliptic flow of muons from the decay of charm and bottom hadrons is measured in pp collisions at sqrt[s]=13  TeV using a data sample with an integrated luminosity of 150  pb^{-1} recorded by the ATLAS detector at the LHC. The muons from heavy-flavor ...

    Abstract The elliptic flow of muons from the decay of charm and bottom hadrons is measured in pp collisions at sqrt[s]=13  TeV using a data sample with an integrated luminosity of 150  pb^{-1} recorded by the ATLAS detector at the LHC. The muons from heavy-flavor decay are separated from light-hadron decay muons using momentum imbalance between the tracking and muon spectrometers. The heavy-flavor decay muons are further separated into those from charm decay and those from bottom decay using the distance-of-closest-approach to the collision vertex. The measurement is performed for muons in the transverse momentum range 4-7 GeV and pseudorapidity range |η|<2.4. A significant nonzero elliptic anisotropy coefficient v_{2} is observed for muons from charm decays, while the v_{2} value for muons from bottom decays is consistent with zero within uncertainties.
    Language English
    Publishing date 2020-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.124.082301
    Database MEDical Literature Analysis and Retrieval System OnLINE

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