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In this work we demonstrate that significant gains in performance and data efficiency can be achieved in High Energy Physics (HEP) by moving beyond the standard paradigm of sequential optimization or reconstruction and analysis components.…

High Energy Physics - Experiment · Physics 2024-01-26 Matthias Vigl , Nicole Hartman , Lukas Heinrich

Recent data obtained in ep collisions at HERA by the H1 collaboration are presented: searches for new phenomena beyond the Standard Model, measurement of the inclusive neutral and charged current cross sections and of the proton structure…

High Energy Physics - Phenomenology · Physics 2014-11-17 Tancredi Carli

Experimental High-Energy Physics (HEP), especially the Large Hadron Collider (LHC) programme at the European Organization for Nuclear Research (CERN), is one of the most computationally intensive activities in the world. This demand is set…

Data Analysis, Statistics and Probability · Physics 2021-01-15 Diogo Pires , Pedrame Bargassa , João Seixas , Yasser Omar

In the era of big data, there is an increasing need for healthcare providers, communities, and researchers to share data and collaborate to improve health outcomes, generate valuable insights, and advance research. The Health Insurance…

Cryptography and Security · Computer Science 2023-05-23 Kai Zhang , Xiaoqian Jiang

Petabytes of data are to be processed and stored requiring millions of CPU-years in high energy particle (HEP) physics event simulation. This enormous demand is handled in worldwide distributed computing centers as part of the LHC computing…

Instrumentation and Detectors · Physics 2017-04-26 T. Harenberg , N. Lang , P. Mättig , M. Sandhoff , F. Volkmer , T. Kuhl , C. Schwanenberger

Data processing frameworks are an essential part of HEP experiments' software stacks. Frameworks provide a means by which code developers can undertake the essential tasks of physics data processing, accessing relevant inputs and storing…

HEP data-processing software must support the disparate physics needs of many experiments. For both collider and neutrino environments, HEP experiments typically use data-processing frameworks to manage the computational complexities of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-29 Christopher D. Jones , Kyle Knoepfel , Paolo Calafiura , Charles Leggett , Vakhtang Tsulaia

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

A summary is presented of deep inelastic physics results obtained by the H1 collaboration during its first three years of experimentation at the electron-proton collider HERA.

High Energy Physics - Phenomenology · Physics 2007-05-23 M. Klein

Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that of experimental instruments, playing a critical role in…

Computing plays an essential role in all aspects of high energy physics. As computational technology evolves rapidly in new directions, and data throughput and volume continue to follow a steep trend-line, it is important for the HEP…

The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets…

HERA $ep$ collider provides unique information on the proton structure. High center of mass energy $s=320$ GeV gives access to both the low Bjorken-$x$ domain and regime of high momentum transfers $Q$. Recently the H1 collaboration reported…

High Energy Physics - Experiment · Physics 2009-11-03 A. Glazov

The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. CERN's Large Hadron Collider (LHC) represents a huge step forward in this quest.…

High Energy Physics - Experiment · Physics 2023-02-03 Brian Bockelman , Peter Elmer , Gordon Watts

To produce the best physics results, high energy physics experiments require access to calibration and other non-event data during event data processing. These conditions data are typically stored in databases that provide versioning…

This paper represents the vision of the members of the Fermilab Scientific Computing Division's Computational Physics Department (SCD-CPD) on the status and the evolution of various HEP software tools such as the Geant4 detector simulation…

High Energy Physics - Experiment · Physics 2013-07-30 P. Canal , D. Elvira , R. Hatcher , S. Y. Jun , S. Mrenna

In this paper we describe the present status and our plans for the realization of next phases of the CalcPHEP project aimed at the theoretical support of experiments at modern and future accelerators: TEVATRON, LHC, electron Linear…

High Energy Physics - Phenomenology · Physics 2007-05-23 D. Bardin , G. Passarino , L. Kalinovskaya , P. Christova , A. Andonov , S. Bondarenko , G. Nanava

High-energy physics (HEP) provides ever-growing amount of data. To analyse these, continuously-evolving computational power is required in parallel by extending the storage capacity. Such developments play key roles in the future of this…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-10 Gábor Bíró , Gergely Gábor Barnaföldi , Péter Lévai

This is a report from the Libraries and Tools Working Group of the High Energy Physics Forum for Computational Excellence. It presents the vision of the working group for how the HEP software community may organize and be supported in order…

High Energy Physics - Experiment · Physics 2015-06-04 Anders Borgland , Peter Elmer , Michael Kirby , Simon Patton , Maxim Potekhin , Brett Viren , Brian Yanny

The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific collaborations interested in analysing such data very often require computing power…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-03 Jacek Kuśnierz , Vincenzo Eduardo Padulano , Maciej Malawski , Kamil Burkiewicz , Enric Tejedor Saavedra , Pedro Alonso-Jordá , Michael Pitt , Valentina Avati