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View article: Analysis Facilities for the HL-LHC White Paper
Analysis Facilities for the HL-LHC White Paper Open
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…
View article: Reinterpretation and preservation of data and analyses in HEP
Reinterpretation and preservation of data and analyses in HEP Open
Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes far beyond the immediate priorities of the experimental col…
View article: Data Preservation in High Energy Physics
Data Preservation in High Energy Physics Open
Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful consideration of long-term data preservation in the experime…
View article: Building a Columnar Analysis Demonstrator for ATLAS PHYSLITE Open Data using the Python Ecosystem
Building a Columnar Analysis Demonstrator for ATLAS PHYSLITE Open Data using the Python Ecosystem Open
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…
View article: PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany
PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany Open
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…
View article: How the Scientific Python ecosystem helps answer fundamental questions of the Universe
How the Scientific Python ecosystem helps answer fundamental questions of the Universe Open
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…
View article: Analysis Facilities White Paper
Analysis Facilities White Paper Open
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…
View article: Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform Open
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run-2 analyses using containerised computational workflows. The project is looking to assess the global coverage of B…
View article: Codebase release 0.5 for mapyde
Codebase release 0.5 for mapyde Open
Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model. Many searches also provide resources that allow them to be reinterpreted in the context of other models. We describe a…
View article: Reduce, reuse, reinterpret: An end-to-end pipeline for recycling particle physics results
Reduce, reuse, reinterpret: An end-to-end pipeline for recycling particle physics results Open
Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model. Many searches also provide resources that allow them to be reinterpreted in the context of other models. We describe a…
View article: Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform Open
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run-2 analyses using containerised computational workflows. The project is looking to assess the global coverage of B…
View article: Report on 2306.11055v1
Report on 2306.11055v1 Open
Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model.Many searches also provide resources that allow them to be reinterpreted in the context of other models.We describe a r…
View article: Report on 2306.11055v1
Report on 2306.11055v1 Open
Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model.Many searches also provide resources that allow them to be reinterpreted in the context of other models.We describe a r…
View article: Report on 2306.11055v1
Report on 2306.11055v1 Open
Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model.Many searches also provide resources that allow them to be reinterpreted in the context of other models.We describe a r…
View article: Reduce, Reuse, Reinterpret: an end-to-end pipeline for recycling particle physics results
Reduce, Reuse, Reinterpret: an end-to-end pipeline for recycling particle physics results Open
Searches for new physics at the Large Hadron Collider have constrained many models of physics beyond the Standard Model. Many searches also provide resources that allow them to be reinterpreted in the context of other models. We describe a…
View article: Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline
Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline Open
Particle tracking is a challenging pattern recognition task at the Large Hadron Collider (LHC) and the High Luminosity-LHC. Conventional algorithms, such as those based on the Kalman Filter, achieve excellent performance in reconstructing …
View article: Background Monte Carlo Samples for a Future Hadron Collider
Background Monte Carlo Samples for a Future Hadron Collider Open
A description of Standard Model background Monte Carlo samples produced for studies related to future hadron colliders.
View article: Background Monte Carlo Samples for a Future Hadron Collider
Background Monte Carlo Samples for a Future Hadron Collider Open
Presented is a description of Standard Model background Monte Carlo samples produced for studies related to future hadron colliders.
View article: Jets and Jet Substructure at Future Colliders
Jets and Jet Substructure at Future Colliders Open
Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics program. We examine the role of jet substructure on the moti…
View article: Data and Analysis Preservation, Recasting, and Reinterpretation
Data and Analysis Preservation, Recasting, and Reinterpretation Open
We make the case for the systematic, reliable preservation of event-wise data, derived data products, and executable analysis code. This preservation enables the analyses' long-term future reuse, in order to maximise the scientific impact …
View article: Accessibility in High Energy Physics: Lessons from the Snowmass Process
Accessibility in High Energy Physics: Lessons from the Snowmass Process Open
Accessibility to participation in the high energy physics community can be impeded by many barriers. These barriers must be acknowledged and addressed to make access more equitable in the future. An accessibility survey, the Snowmass Summe…
View article: A Muon Collider Facility for Physics Discovery
A Muon Collider Facility for Physics Discovery Open
Muon colliders provide a unique route to deliver high energy collisions that enable discovery searches and precision measurements to extend our understanding of the fundamental laws of physics. The muon collider design aims to deliver phys…
View article: Muon Collider Physics Summary
Muon Collider Physics Summary Open
The perspective of designing muon colliders with high energy and luminosity, which is being investigated by the International Muon Collider Collaboration, has triggered a growing interest in their physics reach. We present a concise summar…
View article: Publishing statistical models: Getting the most out of particle physics experiments
Publishing statistical models: Getting the most out of particle physics experiments Open
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 …
View article: Report on 2109.04981v1
Report on 2109.04981v1 Open
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…
View article: pyhf: v0.6.3
pyhf: v0.6.3 Open
pure-Python HistFactory implementation with tensors and autodiff
View article: scikit-hep/uproot3-methods: 0.10.1
scikit-hep/uproot3-methods: 0.10.1 Open
@matthewfeickert's correction to histogram fSumw2 from NumPy arrays (which have values without errors). The fSumw2 should be equal to the values, not the square of the values.
View article: pyhf: pure-Python implementation of HistFactory statistical models
pyhf: pure-Python implementation of HistFactory statistical models Open
Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of observed collision events with theoretical predictions. The relationship between them is often formalised in a statistical model $f(x|ϕ)$ des…
View article: Distributed statistical inference with pyhf enabled through funcX
Distributed statistical inference with pyhf enabled through funcX Open
In High Energy Physics facilities that provide High Performance Computing environments provide an opportunity to efficiently perform the statistical inference required for analysis of data from the Large Hadron Collider, but can pose probl…