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Related papers: Data Preservation in High Energy Physics

200 papers

Bringing a high-dimensional dataset into science-ready shape is a formidable challenge that often necessitates data compression. Compression has accordingly become a key consideration for contemporary cosmology, affecting public data…

Cosmology and Nongalactic Astrophysics · Physics 2020-08-25 Alan Heavens , Elena Sellentin , Andrew Jaffe

The topic of this conference is 'South-South and North-South Collaboration in Science and Technology', which is addressed in this contribution in the context of basic research in high energy physics (HEP). The question whether developing…

Physics and Society · Physics 2007-05-23 J. Schukraft

Within the next decade, experimental High Energy Physics (HEP) will enter a new era of scientific discovery through a set of targeted programs recommended by the Particle Physics Project Prioritization Panel (P5), including the upcoming…

Data Analysis, Statistics and Probability · Physics 2022-03-23 S. C. Tognini , P. Canal , T. M. Evans , G. Lima , A. L. Lund , S. R. Johnson , S. Y. Jun , V. R. Pascuzzi , P. K. Romano

The new CERN proton-proton collider, the LHC, is about to start in 2007 its data taking. Millions of top quarks will be available out of these data, allowing to perform a wide range of precision measurements and searches for new physics. An…

High Energy Physics - Experiment · Physics 2007-05-23 F. Hubaut

Monte Carlo simulations play a crucial role in all stages of particle collider experiments. There has been a long-term trend in HEP of both increasing collision energies and the luminosity. As a result, the requirements for MC simulations…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-27 Felix Hoffmann , Udo Kebschull

After recalling briefly the main physics issues beyond the Standard Model, the main physics objectives of experiments at CERN in the coming decade(s) are reviewed. These include the conclusion of the LEP programme during the year 2000, a…

High Energy Physics - Phenomenology · Physics 2009-08-21 John Ellis

Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project of the High…

This white paper briefly summarized key conclusions of the recent US Community Study on the Future of Particle Physics (Snowmass 2021) workshop on Software and Computing for Small High Energy Physics Experiments.

The discovery of a new type of a heavy long-lived particle (LLP) would be of fundamental significance due to their existence in many beyond the Standard Model scenarios. LLPs are anticipated in a wide range of physics models which extend…

High Energy Physics - Experiment · Physics 2019-08-13 Paul D. Jackson

Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-watt a crucial metric for selecting cost-efficient computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-20 David Abdurachmanov , Peter Elmer , Giulio Eulisse , Robert Knight

The HERA electron--proton collider has collected 100 pb$^{-1}$ of data since its start-up in 1992, and recently moved into a high-luminosity operation mode, with upgraded detectors, aiming to increase the total integrated luminosity per…

High Energy Physics - Phenomenology · Physics 2007-05-23 S. Alekhin , G. Altarelli , N. Amapane , J. Andersen , V. Andreev , M. Arneodo , V. Avati , J. Baines , R. D. Ball , A. Banfi , S. P. Baranov , J. Bartels , O. Behnke , R. Bellan , J. Blumlein , H. Bottcher , S. Bolognesi , M. Boonekamp , D. Bourilkov , J. Bracinik , A. Bruni , G. Bruni , A. Buckley , A. Bunyatyan , C. M. Buttar , J. M. Butterworth , S. Butterworth , M. Cacciari , T. Carli , G. Cerminara , S. Chekanov , M. Ciafaloni , D. Colferai , J. Collins , A. Cooper-Sarkar , G. Corcella , M. Corradi , B. E. Cox , R. Croft , Z. Czyczula , A. Dainese , M. Dasgupta , G. Davatz , L. Del Debbio , Y. Delenda , A. De Roeck , M. Diehl , S. Diglio , G. Dissertori , M. Dittmar , J. Ellis , K. J. Eskola , T. O. Eynck , J. Feltesse , F. Ferro , R. D. Field , J. Forshaw , S. Forte , A. Geiser , S. Gieseke , A. Glazov , T. Gleisberg , P. Golonka , E. Gotsman , G. Grindhammer , M. Grothe , C. Group , M. Groys , A. Guffanti , G. Gustafson , C. Gwenlan , S. Hoche , C. Hogg , J. Huston , G. Iacobucci , G. Ingelman , S. Jadach , H. Jung , J. Kalliopuska , M. Kapishin , B. Kersevan , V. Khoze , M. Klasen , M. Klein , B. A. Kniehl , V. J. Kolhinen , H. Kowalski , G. Kramer , F. Krauss , S. Kretzer , K. Kutak , J. W. Lamsa , L. Lonnblad , T. Lastovicka , G. Lastovicka-Medin , E. Laenen , Th. Lagouri , J. I. Latorre , N. Lavesson , V. Lendermann , E. Levin , A. Levy , A. V. Lipatov , M. Lublinsky , L. Lytkin , T. Maki , L. Magnea , F. Maltoni , M. Mangano , U. Maor , C. Mariotti , N. Marola , A. D. Martin , A. Meyer , S. Moch , J. Monk , A. Moraes , A. Morsch , L. Motyka , E. Naftali , P. Newman , A. Nikitenko , F. Oljemark , R. Orava , M. Ottela , K. Osterberg , K. Peters , F. Petrucci , A. Piccione , A. Pilkington , K. Piotrzkowski , O. I. Piskounova , A. Proskuryakov , A. Prygarin , J. Pumplin , K. Rabbertz , R. Ranieri , V. Ravindran , B. Reisert , E. Richter-Was , L. Rinaldi , P. Robbe , E. Rodrigues , J. Rojo , H. Ruiz , M. Ruspa , M. G. Ryskin , A. Sabio Vera , G. P. Salam , A. Schalicke , S. Schatzel , T. Schorner-Sadenius , I. Schienbein , F-P. Schilling , S. Schumann , M. H. Seymour , F. Siegert , T. Sjostrand , M. Skrzypek , J. Smith , M. Smizanska , H. Spiesberger , F. Schrempp , A. Stasto , H. Stenzel , W. J. Stirling , P. Szczypka , S. Tapprogge , C. Targett-Adams , M. Tasevsky , T. Teubner , R. S. Thorne , A. Tonazzo , A. Tricoli , N. Tuning , J. Turnau , U. Uwer , P. Van Mechelen , R. Venugopalan , M. Verducci , J. A. M. Vermaseren , A. Vogt , R. Vogt , B. F. L. Ward , Z. Was , G. Watt , B. M. Waugh , C. Weiser , M. R. Whalley , M. Wing , J. Winter , S. A. Yost , G. Zanderighi , N. P. Zotov

Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary.…

In this article, we present the High-Performance Output (HiPO) data format developed at Jefferson Laboratory for storing and analyzing data from Nuclear Physics experiments. The format was designed to efficiently store large amounts of…

Data Analysis, Statistics and Probability · Physics 2025-07-22 Gagik Gavalian

Interest in many-core architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of many-core devices when applied to a typical HEP online task: the…

Instrumentation and Detectors · Physics 2014-11-25 A. Gianelle , S. Amerio , D. Bastieri , M. Corvo , W. Ketchum , T. Liu , A. Lonardo , D. Lucchesi , S. Poprocki , R. Rivera , L. Tosoratto , P. Vicini , P. Wittich

The HERA electron--proton collider has collected 100 pb$^{-1}$ of data since its start-up in 1992, and recently moved into a high-luminosity operation mode, with upgraded detectors, aiming to increase the total integrated luminosity per…

High Energy Physics - Phenomenology · Physics 2007-05-23 S. Alekhin , G. Altarelli , N. Amapane , J. Andersen , V. Andreev , M. Arneodo , V. Avati , J. Baines , R. D. Ball , A. Banfi , S. P. Baranov , J. Bartels , O. Behnke , R. Bellan , J. Blumlein , H. Bottcher , S. Bolognesi , M. Boonekamp , D. Bourilkov , J. Bracinik , A. Bruni , G. Bruni , A. Buckley , A. Bunyatyan , C. M. Buttar , J. M. Butterworth , S. Butterworth , M. Cacciari , T. Carli , G. Cerminara , S. Chekanov , M. Ciafaloni , D. Colferai , J. Collins , A. Cooper-Sarkar , G. Corcella , M. Corradi , B. E. Cox , R. Croft , Z. Czyczula , A. Dainese , M. Dasgupta , G. Davatz , L. Del Debbio , Y. Delenda , A. De Roeck , M. Diehl , S. Diglio , G. Dissertori , M. Dittmar , J. Ellis , K. J. Eskola , T. O. Eynck , J. Feltesse , F. Ferro , R. D. Field , J. Forshaw , S. Forte , A. Geiser , S. Gieseke , A. Glazov , T. Gleisberg , P. Golonka , E. Gotsman , G. Grindhammer , M. Grothe , C. Group , M. Groys , A. Guffanti , G. Gustafson , C. Gwenlan , S. Hoche , C. Hogg , J. Huston , G. Iacobucci , G. Ingelman , S. Jadach , H. Jung , J. Kalliopuska , M. Kapishin , B. Kersevan , V. Khoze , M. Klasen , M. Klein , B. A. Kniehl , V. J. Kolhinen , H. Kowalski , G. Kramer , F. Krauss , S. Kretzer , K. Kutak , J. W. Lamsa , L. Lonnblad , T. Lastovicka , G. Lastovicka-Medin , E. Laenen , Th. Lagouri , J. I. Latorre , N. Lavesson , V. Lendermann , E. Levin , A. Levy , A. V. Lipatov , M. Lublinsky , L. Lytkin , T. Maki , L. Magnea , F. Maltoni , M. Mangano , U. Maor , C. Mariotti , N. Marola , A. D. Martin , A. Meyer , S. Moch , J. Monk , A. Moraes , A. Morsch , L. Motyka , E. Naftali , P. Newman , A. Nikitenko , F. Oljemark , R. Orava , M. Ottela , K. Osterberg , K. Peters , F. Petrucci , A. Piccione , A. Pilkington , K. Piotrzkowski , O. I. Piskounova , A. Proskuryakov , A. Prygarin , J. Pumplin , K. Rabbertz , R. Ranieri , V. Ravindran , B. Reisert , E. Richter-Was , L. Rinaldi , P. Robbe , E. Rodrigues , J. Rojo , H. Ruiz , M. Ruspa , M. G. Ryskin , A. Sabio Vera , G. P. Salam , A. Schalicke , S. Schatzel , T. Schorner-Sadenius , I. Schienbein , F-P. Schilling , S. Schumann , M. H. Seymour , F. Siegert , T. Sjostrand , M. Skrzypek , J. Smith , M. Smizanska , H. Spiesberger , F. Schrempp , A. Stasto , H. Stenzel , W. J. Stirling , P. Szczypka , S. Tapprogge , C. Targett-Adams , M. Tasevsky , T. Teubner , R. S. Thorne , A. Tonazzo , A. Tricoli , N. Tuning , J. Turnau , U. Uwer , P. Van Mechelen , R. Venugopalan , M. Verducci , J. A. M. Vermaseren , A. Vogt , R. Vogt , B. F. L. Ward , Z. Was , G. Watt , B. M. Waugh , C. Weiser , M. R. Whalley , M. Wing , J. Winter , S. A. Yost , G. Zanderighi , N. P. Zotov

The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. Far beyond applications of standard ML tools to HEP problems, genuinely new and…

Computational Physics · Physics 2022-09-19 Phiala Shanahan , Kazuhiro Terao , Daniel Whiteson

ROOT is high energy physics' software for storing and mining data in a statistically sound way, to publish results with scientific graphics. It is evolving since 25 years, now providing the storage format for more than one exabyte of data;…

Privacy has gained a growing interest nowadays due to the increasing and unmanageable amount of produced confidential data. Concerns about the possibility of sharing data with third parties, to gain fruitful insights, beset enterprise…

Cryptography and Security · Computer Science 2020-11-16 Michela Iezzi

The European School of High-Energy Physics is intended to give young physicists an introduction to the theoretical aspects of recent advances in elementary particle physics. These proceedings contain lecture notes on quantum field theory…

High Energy Physics - Phenomenology · Physics 2016-02-10 Grojean , C , Mulders , M

In view of the European Strategy for Particle Physics process, the French HEP community has organized a national process of collecting written contributions and has pursued a series of workshops culminating with a national symposium held in…