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Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case
/ Tedeschi, Tommaso (INFN, Perugia ; Perugia U.) ; Padulano, Vincenzo Eduardo (CERN) ; Spiga, Daniele (INFN, Perugia) ; Ciangottini, Diego (INFN, Perugia) ; Tracolli, Mirco (INFN, Perugia) ; Tejedor Saavedra, Enric (CERN) ; Guiraud, Enrico (CERN ; Princeton U.) ; Biasotto, Massimo (INFN, Legnaro ; Padua U.)
The challenges expected for the next era of the Large Hadron Collider (LHC), both in terms of storage and computing resources, provide LHC experiments with a strong motivation for evaluating ways of rethinking their computing models at many levels. Great efforts have been put into optimizing the computing resource utilization for the data analysis, which leads both to lower hardware requirements and faster turnaround for physics analyses. [...]
arXiv:2307.12579.-
2023-10-16 - 26 p.
- Published in : Comput. Phys. Commun. 295 (2024) 108965
Fulltext: PDF;
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2.
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Leveraging an open source serverless framework for high energy physics computing
/ Padulano, Vincenzo Eduardo (Valencia, Polytechnic U. ; CERN) ; Cortés, Pablo Oliver (Valencia, Polytechnic U.) ; Alonso‑Jordá, Pedro (Valencia, Polytechnic U.) ; Saavedra, Enric Tejedor (CERN) ; Risco, Sebastián (Valencia, Polytechnic U.) ; Moltó, Germán (Valencia, Polytechnic U.)
CERN (Centre Europeen pour la Recherce Nucleaire) is the largest research centre for high energy physics (HEP). It offers unique computational challenges as a result of the large amount of data generated by the large hadron collider. [...]
2023 - 26 p.
- Published in : J. Supercomput. 79 (2023) 8940-8965
Fulltext: PDF;
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3.
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Leveraging HPC resources with distributed RDataFrame
/ Padulano, V E (CERN ; Valencia, Polytechnic U.) ; Kabadzhov, I D (CERN ; Freiburg U., Inst. Phys. Chem.) ; Saavedra, E T (CERN) ; Guiraud, E (CERN)
The declarative approach to data analysis provides high-level abstractions for users to operate on their datasets in a much more ergonomic fashion compared to imperative interfaces. ROOT offers such a tool with RDataFrame, which has been tested in production environments and used in real-world analyses with optimal results. [...]
2023 - 5 p.
- Published in : J. Phys. : Conf. Ser. 2438 (2023) 012097
Fulltext: PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012097
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4.
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The role of the NA62 RICH in the $BR(K^+ \to \pi^+ \nu \bar\nu)$ measurement
/ Volpe, R (Florence U. ; INFN, Florence ; Louvain U., CP3) ; Anzivino, G (Perugia U. ; INFN, Perugia) ; Aisa, D (Perugia U. ; INFN, Perugia) ; Barbanera, M (INFN, Perugia) ; Bizzarri, M (Perugia U. ; INFN, Perugia) ; Bizzeti, A (Florence U. ; INFN, Florence ; Modena U.) ; Brizioli, F (Perugia U. ; INFN, Perugia) ; Bucci, F (INFN, Florence) ; Campeggi, C (Perugia U. ; INFN, Perugia) ; Carassiti, V (INFN, Ferrara) et al.
The NA62 experiment aims to measure the $BR$($K^+$ $\rightarrow$ $\pi^+$ $v$ $\overline{v}$) with a 10% precision. One of the main backgrounds comes from the decay $K^+$ $\rightarrow$ $\mu^+$ $v$ , therefore a highly powerful pion/muon separation is needed. [...]
Elsevier, 2020 - 4 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 952 (2020) 161802
In : 10th International Workshop on Ring Imaging Cherenkov Detectors, Moscow, Russia, 29 Jul - 4 Aug 2018, pp.161802
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5.
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Status of the NA62 ring imaging Cherenkov detector
/ Cenci, P (INFN, Perugia) ; Anzivino, G (Perugia U. ; INFN, Perugia) ; Aisa, D (Perugia U. ; INFN, Perugia) ; Barbanera, M (INFN, Perugia) ; Bizzarri, M (Perugia U. ; INFN, Perugia) ; Bizzeti, A (Modena U. ; INFN, Florence) ; Brizioli, F (Perugia U. ; INFN, Perugia) ; Bucci, F (INFN, Florence) ; Campeggi, C (Perugia U. ; INFN, Perugia) ; Carassiti, V (INFN, Ferrara) et al.
The Ring Imaging Cherenkov detector of the NA62 experiment at the CERN SPS is a key element of particle identification in the NA62 experimental strategy. The detector fulfills different conditions: to distinguish pions from muons with a muon rejection factor of O(10$^2$) in the NA62 momentum range of operation, between 15 and 35 GeV/c; to measure particle arrival time in the decay region with a precision better than 100 ps; to provide fast signals and reference time to the NA62 trigger system. [...]
Elsevier, 2020 - 4 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 952 (2020) 162005
In : 10th International Workshop on Ring Imaging Cherenkov Detectors, Moscow, Russia, 29 Jul - 4 Aug 2018, pp.162005
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6.
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Light Detection System and Time Resolution of the NA62 RICH
/ Anzivino, G. (Perugia U. ; INFN, Perugia) ; Barbanera, M. (Perugia U. ; INFN, Perugia) ; Bizzeti, A. (Modena U. ; INFN, Florence) ; Brizioli, F. (Perugia U. ; INFN, Perugia) ; Bucci, F. (INFN, Florence) ; Cassese, A. (Florence U. ; INFN, Florence) ; Cenci, P. (INFN, Perugia) ; Ciaranfi, R. (INFN, Florence) ; Duk, V. (INFN, Perugia) ; Engelfried, J. (San Luis Potosi U.) et al.
A large RICH detector is used in NA62 to suppress the muon contamination in the charged pion sample by a factor of 100 in the momentum range between 15 and 35 GeV/c. Cherenkov light is collected by 1952 photomultipliers placed at the upstream end. [...]
arXiv:2009.07581.-
2020-10-27 - 15 p.
- Published in : JINST 15 (2020) P10025
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Boosting RDataFrame performance with transparent bulk event processing
/ Guiraud, Enrico (CERN) ; Blomer, Jakob (CERN) ; Canal, Philippe (Fermilab) ; Naumann, Axel (CERN)
RDataFrame is ROOT’s high-level interface for Python and C++ data analysis. Since it first became available, RDataFrame adoption has grown steadily and it is now poised to be a major component of analysis software pipelines for LHC Run 3 and beyond. [...]
FERMILAB-CONF-24-0684-CSAID.-
2024 - 8 p.
- Published in : EPJ Web Conf. 295 (2024) 06006
Fulltext: 3afc9b57f03c0d303680c14cbbcb8c23 - PDF; document - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06006
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9.
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First implementation and results of the Analysis Grand Challenge with a fully Pythonic RDataFrame
/ Padulano, Vincenzo Eduardo (CERN) ; Guiraud, Enrico (CERN ; Princeton U.) ; Falko, Andrii (Taras Shevchenko U.) ; Gazzarrini, Elena (CERN) ; Garcia Garcia, Enrique (CERN) ; Gosein, Domenic (CERN ; Mannheim U.)
The growing amount of data generated by the LHC requires a shift in how HEP analysis tasks are approached. Efforts to address this computational challenge have led to the rise of a middle-man software layer, a mixture of simple, effective APIs and fast execution engines underneath. [...]
2024 - 8 p.
- Published in : EPJ Web Conf. 295 (2024) 06011
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06011
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10.
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Using RDataFrame, ROOT’s declarative analysis tool, in a CMS physics study
/ Manca, Elisabetta (speaker) (INFN Sezione di Pisa, Universita' e Scuola Normale Superiore, P) ; Guiraud, Enrico (speaker) (CERN, University of Oldenburg (DE))
With the expected large increase in the amount of available data in LHC Run 3, now more than ever HEP scientists must be able to efficiently write robust, performant analysis software that can take full advantage of the underlying hardware. Multicore computing resources are commonplace, and current trends in scientific computing include increased availability of manycore architectures. [...]
2019 - 4486.
EP Software Seminar
External link: Event details
In : Using RDataFrame, ROOT’s declarative analysis tool, in a CMS physics study
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