arXiv subjects

Jacopo Fanini

Publications and source records attributed to Jacopo Fanini.

3 recordsLinked to original sources

arXiv2026

LEP Data@EDM4hep: mitigating data loss risks by increasing data FAIRness, with a view on FCC-ee

The LEP data represents the most precise and highest centre-of-mass energy sample of $e^+e^-$ collision data collected to date. Numerous scientific articles have been published since the conclusion of the experiments, underscoring the ongoing relevance of this dataset and the need to secure its long-term availability according to FAIR data preservation principles. These data could also play a crucial new role in the context of the evaluation of the physics potential of FCC-ee, due to the overlapping centre-of-mass energies, offering a valuable benchmark for detector performance and physics analyses. To fulfill this role, the data should be made available in EDM4hep, the standardized event data format currently developed in the context of the common HEP software ecosystem Key4hep. Migrating to EDM4hep would not only beneficial to future studies but also significantly mitigate the risk of data loss, increase accessibility and interoperability, hence facilitate long-term data preservation. A proof of concept workflow to perform the migration has been developed and successfully applied to ALEPH data.

hep-ex↗

arXiv2026

Modern jet flavour tagging in hadronic Z decays with archived ALEPH data

We present a reanalysis of archived data from the ALEPH experiment at LEP in the $\mathrm{Z \to q\bar{q}}$ final state. We apply modern jet flavour tagging techniques to improve the separation between the different hadronic decay channels of the Z boson, achieving up to one order of magnitude improvement in misidentification rate for b- and c-quark jets compared to the legacy algorithms used for the most recent ALEPH results, for the same identification efficiency. We also present the first implementation of strange quark jet tagging with LEP data, which allows for the selection of a $\mathrm{Z \to s\bar{s}}$ enriched event sample. These improvements in the flavour tagging performance are achieved by leveraging the lifetime, particle identification, and secondary vertex information, as well as modern classifiers based on a deep learning approach. We also demonstrate the calibration of the tagger in data using a tag-and-probe method, obtaining good data to simulation agreement for all quark flavours. These results pave the way for improved measurements of electroweak precision observables with LEP archived data, and can serve as a guidance for the development of detectors and algorithms for future electron-positron colliders.

hep-ex↗

arXiv2025

Data Preservation in High Energy Physics

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 experimental design contributes to improving computational efficiency and strengthening the scientific activity in HEP through Open Science methodologies. This contribution is based on 15 years of experience of the DPHEP collaboration in the field of data preservation and focuses on aspects relevant for the strategic programming of particle physics in Europe: the preparation of future programs using data sets preserved from previous similar experiments (e.g. HERA for EIC), and the use of LHC data long after the end of the data taking. The lessons learned from past collider experiments and recent developments open the way to a number of recommendations for the full exploitation of the investments made in large HEP experiments.

hep-ex↗