| Issue |
EPJ Web Conf.
Volume 320, 2025
20th International Conference on Calorimetry in Particle Physics (CALOR 2024)
|
|
|---|---|---|
| Article Number | 00024 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/epjconf/202532000024 | |
| Published online | 07 March 2025 | |
https://doi.org/10.1051/epjconf/202532000024
Ultra-high granularity electromagnetic calorimetry – Results from the EPICAL-2 prototype and perspectives for digital calorimeters
1 Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
2 Department of Physics and Technology, University of Bergen, Bergen, Norway
3 Research and Production Enterprise “LTU” (RPE LTU), Kharkiv, Ukraine
4 Bogolyubov Institute for Theoretical Physics, Kyiv, Ukraine
5 University of Birmingham, Birmingham, United Kingdom
6 Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
7 Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
8 Department of Physics, University of Oslo, Oslo, Norway
* e-mail: t.peitzmann@uu.nl
** Now at European Organization for Nuclear Research (CERN), Geneva, Switzerland.
Published online: 7 March 2025
An advanced prototype of a digital pixel calorimeter, EPICAL-2, has been constructed using ALPIDE MAPS sensors. It has been successfully tested with cosmic muons and with test beams at DESY and the CERN SPS. We will report on recent updates of performance results, with good linearity and resolution. Comparisons to detailed MC simulations are made and show good understanding of the technology. The spatial precision of event-by-event measurements of the showers allows unprecedented studies of the shower shape. The detector features two-shower separation capabilities at extremely small distances. We will also discuss the limitations of the currently used sensor technology and perspectives for future development of digital calorimetry.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.