Explanipedia

The critical importance of software for HEP Open

C. Agapopoulou, C. Antel, S. Bhattacharya, S. Gardiner, K. Genser , et al. · 2025

HEP Software Foundation prepared inputs for the European Particle Physics Strategy Update, 2025.

Analysis Facilities for the HL-LHC White Paper Open

D. Ciangottini, A. C. Forti, L. Heinrich, N. Skidmore, C. Alpigiani , et al. · 2025

This white paper presents the current status of the R&D for Analysis Facilities (AFs) and attempts to summarize the views on the future direction of these facilities. These views have been collected through the High Energy Physics (HEP) So…

The 200 Gbps Challenge: Imagining HL-LHC analysis facilities Open

A. Held, Sam Albin, Garhan Attebury, K. Bloom, Brian Bockelman , et al. · 2025

The IRIS-HEP software institute, as a contributor to the broader HEP Python ecosystem, is developing scalable analysis infrastructure and software tools to address the upcoming HL-LHC computing challenges with new approaches and paradigms,…

The 200 Gbps Challenge: Imagining HL-LHC analysis facilities Open

A. Held, Sam Albin, Garhan Attebury, K. Bloom, Brian Bockelman , et al. · 2025

The IRIS-HEP software institute, as a contributor to the broader HEP Python ecosystem, is developing scalable analysis infrastructure and software tools to address the upcoming HL-LHC computing challenges with new approaches and paradigms,…

Building a Columnar Analysis Demonstrator for ATLAS PHYSLITE Open Data using the Python Ecosystem Open

K. Choi, M. Feickert, N. M. Hartmann, L. Heinrich, A. Held , et al. · 2025

The ATLAS experiment is in the process of developing a columnar analysis demonstrator, which takes advantage of the Python ecosystem of data science tools. This project is inspired by the analysis demonstrator from IRIS-HEP. The demonstrat…

Benchmarking massively-parallel Analysis Grand Challenge workflows using Snakemake and REANA Open

Marco Donadoni, M. Feickert, A. Held, Andrii Povsten, Oksana Shadura , et al. · 2025

We have created a Snakemake computational analysis workflow corresponding to the IRIS-HEP Analysis Grand Challenge (AGC) example studying ttbar production channels in the CMS open data. We describe the extensions to the AGC pipeline that a…

PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany Open

A. A. Alshehri, Julius Bürger, Sumer Chopra, N. Eich, J. Eppelt , et al. · 2024

The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. This gathering brought together nearly 30 Python packag…

Using a combination of cognitive behavioral therapy, case management and eHealth components for patients with depression or panic disorders in primary care practices in Hesse, Germany: an exploration of healthcare professionals’ lived experiences Open

Maria Hanf, Caroline Körner, Karoline Lukaschek, Jochen Gensichen, Susanne Lezius , et al. · 2024

How the Scientific Python ecosystem helps answer fundamental questions of the Universe Open

M. Feickert, N. M. Hartmann, L. Heinrich, A. Held, E. Kourlitis , et al. · 2024

The ATLAS experiment at CERN explores vast amounts of physics data to answer the most fundamental questions of the Universe. The prevalence of Python in scientific computing motivated ATLAS to adopt it for its data analysis workflows while…

Adaptive impact analysis in flexible multibody systems based on hierarchically refined IGA models Open

Tobias Rückwald, A. Held, Robert Seifried · 2024

Usually, detailed impact simulation models within flexible multibody systems have to be set up manually rather than being generated automatically. This is because the process requires prior knowledge of the time and location of the impact,…

Analysis Facilities White Paper Open

D. Ciangottini, A. Forti, L. Heinrich, N. Skidmore, C. Alpigiani , et al. · 2024

This white paper presents the current status of the R&D for Analysis Facilities (AFs) and attempts to summarize the views on the future direction of these facilities. These views have been collected through the High Energy Physics (HEP) So…

Physics analysis for the HL-LHC: concepts and pipelines in practice with the Analysis Grand Challenge Open

A. Held, Elliott Kauffman, Oksana Shadura, Andrew Wightman · 2024

Realistic environments for prototyping, studying and improving analysis workflows are a crucial element on the way towards user-friendly physics analysis at HL-LHC scale. The IRIS-HEP Analysis Grand Challenge (AGC) provides such an environ…

Machine Learning for Columnar High Energy Physics Analysis Open

Elliott Kauffman, A. Held, Oksana Shadura · 2024

Machine learning (ML) has become an integral component of high energy physics data analyses and is likely to continue to grow in prevalence. Physicists are incorporating ML into many aspects of analysis, from using boosted decision trees t…

Physics analysis for the HL-LHC: Concepts and pipelines in practice with the Analysis Grand Challenge Open

A. Held, Elliott Kauffman, Oksana Shadura, Andrew Wightman · 2024

Realistic environments for prototyping, studying and improving analysis workflows are a crucial element on the way towards user-friendly physics analysis at HL-LHC scale. The IRIS-HEP Analysis Grand Challenge (AGC) provides such an environ…

Machine Learning for Columnar High Energy Physics Analysis Open

Elliott Kauffman, A. Held, Oksana Shadura · 2024

Machine learning (ML) has become an integral component of high energy physics data analyses and is likely to continue to grow in prevalence. Physicists are incorporating ML into many aspects of analysis, from using boosted decision trees t…

2 The Role of Causality in Understanding How Prior Event Knowledge Impacts New Learning Open

Alexa S. Gonzalez, Anna B. Drummey, Tyler J. Hubeny, A. Held, Irene P. Kan · 2023

Objective: The influence of prior knowledge on new learning is well established. However, there has been less research dedicated to teasing apart the key components of prior knowledge’s structure that contribute to memory enhancement. In t…

Machine learning and LHC event generation Open

Anja Butter, Tilman Plehn, S. Schumann, Simon Badger, S. Caron , et al. · 2023

First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide rang…

First performance measurements with the Analysis Grand Challenge Open

Oksana Shadura, A. Held · 2023

The IRIS-HEP Analysis Grand Challenge (AGC) is designed to be a realistic environment for investigating how analysis methods scale to the demands of the HL-LHC. The analysis task is based on publicly available Open Data and allows for comp…

The IRIS-HEP Analysis Grand Challenge Open

A. Held, Oksana Shadura · 2022

Analysis workflows commonly used at the LHC experiments do not scale to the requirements of the HL-LHC. To address this challenge, a rich research and development program is ongoing, proposing new tools, techniques, and approaches. The IRI…

Report on 2203.07460v1 Open

Anja Butter, Tilman Plehn, S. Schumann, Simon Badger, S. Caron , et al. · 2022

First-principle simulations are at the heart of the high-energy physics research program.They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation.This review illustrates a wide range …

Machine Learning and LHC Event Generation Open

Anja Butter, Tilman Plehn, S. Schumann, Simon Badger, S. Caron , et al. · 2022

First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide rang…

Publishing statistical models: Getting the most out of particle physics experiments Open

K. Cranmer, Sabine Kraml, H. Prosper, P. Bechtle, F. U. Bernlochner , et al. · 2022

The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically …

Report on 2109.04981v1 Open

K. Cranmer, Sabine Kraml, H. Prosper, P. Bechtle, F. U. Bernlochner , et al. · 2021

The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse.In this paper, we make the scientific case for systematically p…

Search for new phenomena in final states with an energetic jet and large missing transverse momentum in p p collisions at √s=13 TeV using the ATLAS detector Open

H. Zhu, B. Abbott, J. Weingarten, E. Tahirovič, B. Abeloos , et al. · 2021

Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses proton--proton collision data corresponding to an integrated luminosity of 3.2 fb⁻¹ at √s=13 Te…

Flexible Multibody Impact Simulations Using Hierarchically Refined Isogeometric Models Open

Tobias Rückwald, A. Held, Robert Seifried · 2021

Detailed impact simulations in flexible multibody systems can be simulated based on reduced isogeometric analysis (IGA) models.A precise simulation of an impact requires a high element resolution in the contact area.Usually, global refinem…

Building and steering binned template fits with cabinetry Open

K. Cranmer, A. Held · 2021

The cabinetry library provides a Python-based solution for building and steering binned template fits. It tightly integrates with the pythonic High Energy Physics ecosystem, and in particular with pyhf for statistical inference. cabinetry …

Constraining effective field theories with machine learning Open

Johann Brehmer, K. Cranmer, Irina Espejo, A. Held, Felix Kling , et al. · 2020

An important part of the Large Hadron Collider (LHC) legacy will be precise limits on indirect effects of new physics, framed for instance in terms of an effective field theory. These measurements often involve many theory parameters and o…

The ATLAS Muon Trigger Open

A. Held · 2019

Events containing muons in the final state are an important signature for many analyses being carried out at the Large Hadron Collider (LHC), including both standard model measurements and searches for new physics. To be able to study such…

Determination of the strange-quark density of the proton from ATLAS measurements of the W___ and Z___ cross sections. Open

B. Abbott, J. Weingarten, A. A. Abdelalim, E. Tahirovič, B. Abi , et al. · 2019

A QCD analysis is reported of ATLAS data on inclusive W(±) and Z boson production in pp collisions at the LHC, jointly with ep deep-inelastic scattering data from HERA. The ATLAS data exhibit sensitivity to the light quark sea composition …

Search for Higgs and Z Boson Decays to J/__ and _(nS)_ with the ATLAS Detector. Open

B. Abbott, J. Weingarten, S. González de la Hoz, E. Tahirovič, M. Escalier , et al. · 2019

A search for the decays of the Higgs and Z bosons to J/__ and _(nS)_ (n=1,2,3) is performed with pp collision data samples corresponding to integrated luminosities of up to 20.3__fb^{-1} collected at sqrt[s]=8__TeV with the ATLAS detector …

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