arXiv subjects

Martin Habedank

Publications and source records attributed to Martin Habedank.

6 recordsLinked to original sources

arXiv2026

Data Preservation in High Energy Physics: Global Report 2026

This document summarizes the contributions to the 5th DPHEP workshop March 5-6, 2026, CERN, and reflects the advancements since 2024, as well as future milestones and tendencies. Impressive progress in HEP data preservation is observed. Legacy data revival was showcased through successful reanalysis of archived data using contemporary methods, demonstrating the long-term scientific value of preservation. Sustainability challenges were noted, emphasizing the need for long-term funding and institutional support to maintain data preservation infrastructure, particularly for legacy experiments transitioning to archival modes. Innovative transverse projects display constant progress towards common technologies for a robust and transferrable DP. In particular, there is a clear shift toward automation, with increasing use of AI and machine learning for data curation, metadata extraction, and workflow optimization. Open science momentum is growing, with wider adoption of FAIR principles and open data policies, and experiments committing to public releases.

hep-ex↗

arXiv2026

Open LHC Monte Carlo Event Generation

The LHC physics programme involves a vast amount of Monte Carlo event simulation. This paper reviews current efforts towards sharing the generated events as Open Data. Open Event Generation helps reduce duplication of effort and resource consumption, and benefits the whole High Energy Physics community. We give examples of use cases and user experiences, discuss financial and environmental savings, and suggest future directions.

hep-ph↗

arXiv2025

Enabling stable preservation of ML algorithms in high-energy physics with petrifyML

Machine learning (ML) in high-energy physics (HEP) has moved in the LHC era from an internal detail of experiment software, to an unavoidable public component of many physics data analyses. Scientific reproducibility thus requires that it be possible to accurately and stably preserve the behaviours of these, sometimes very complex algorithms. We present and document the petrifyML package, which provides missing mechanisms to convert configurations from commonly used HEP ML tools to either the industry-standard ONNX format or to native Python or C++ code, enabling future re-use and re-interpretation of many ML-based experimental studies.

hep-ph↗

arXiv2025

Constraints On New Theories Using Rivet : CONTUR version 3 release note

The CONTUR toolkit exploits RIVET and its library of more than a thousand energy-frontier differential cross-section measurements from the Large Hadron Collider to allow rapid limit-setting and consistency checks for new physics models. In this note we summarise the main changes in the new CONTUR 3 major release series. These include additional statistical treatments, efficiency improvements, new plotting utilities and many new measurements and Standard Model predictions.

hep-ph↗

arXiv2025

Reinterpretation and preservation of data and analyses in HEP

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 collaborations that obtain them, it is imperative that the collaborations and the wider particle physics community publish and preserve sufficient information to ensure that this impact can be realised, now and into the future. The information to be published and preserved includes the algorithms, statistical information, simulations and the recorded data. This publication and preservation requires significant resources, and should be a strategic priority with commensurate planning and resource allocation from the earliest stages of future facilities and experiments.

hep-ph↗

arXiv2024

Leaving No Matter Unturned -- Analysing existing LHC measurements and events with jets and missing transverse energy measured by the ATLAS Experiment insearch of Dark Matter

Various astrophysical observations point towards an as-of-yet unexplained, mainly gravitationally interacting type of matter. If this matter, called Dark Matter, is an elementary particle, it could be produced in particle collisions at the Large Hadron Collider. Given its weak interaction with ordinary matter, however, it would not be directly observable with the general-purpose detectors at the Large Hadron Collider. Its production would therefore manifest as events in which detector-visible objects recoil against the detector-invisible Dark Matter, giving rise to missing transverse energy. This thesis focuses on final states in which these visible objects are jets. A measurement of the final state of large missing transverse energy and at least one jet in 139 fb$^{-1}$ of proton-proton collisions at 13 TeV recorded with the ATLAS detector at the Large Hadron Collider is performed in this thesis. Good agreement between measured data and Standard-Model prediction is found in a statistical fit, corresponding to a reduced chi-square of 1.37. The measurement is corrected for detector effects to facilitate later reinterpretation. Measurements prepared in such a way can, for example, be exploited by the CONTUR toolkit to set constraints on new theories. Both, the results of the measurement and the CONTUR toolkit making use of existing measurements at the Large Hadron Collider, are employed to set exclusion limits on a model able to explain Dark Matter, the two-Higgs-doublet model with a pseudoscalar mediator to Dark Matter. At $\tan\beta=1$, masses of the pseudoscalar $A$ up to 425 GeV and larger than 1600 GeV are excluded at 95 % confidence level. At $m_H\equiv m_A\equiv m_{H^\pm}=$ 600 GeV, masses of the pseudoscalar $a$ up to 550 GeV and values of $\tan\beta$ up to 1.5 as well as larger than 20 are excluded at 95 % confidence level.

hep-ex↗