| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01236 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202533701236 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701236
ProtoDUNE Run Conditions Database
1 Colorado State University (US)
2 University of Iowa (US)
3 Proton Accelerator Facility, TENMAK NÜKEN (TR)
4 Brookhaven National Laboratory (US)
* e-mail: ana.vizcaya_hernandez@colostate.edu
** e-mail: nilay.bostan@cern.ch
*** e-mail: mkirby@bnl.gov
Published online: 7 October 2025
The DUNE experiment will produce vast amounts of metadata, which describe the data coming from the read-out of the primary DUNE detectors. Various databases will collect the metadata from different sources. The conditions data, which is the subset of all the metadata that is accessed during the offline reconstruction and analysis, will be stored in a dedicated database. ProtoDUNE at CERN is the largest DUNE far detector prototype, and as such serves to prove database solutions and schemas for DUNE. The ProtoDUNE Run Conditions Database is a PostgreSQL relational database that stores the conditions metadata coming from sources such as: data acquisition (DAQ), Slow Control, and Beam databases. This contribution will summarize the Run Conditions Database infrastructure which consists of a python rest API for users, a C++ interface, an Art interface (which is the framework used for the offline LArTPC data processing), and a plug in to the new data catalog (Meta- Cat). We will present how the conditions data, coming from the slow controls database, is retrieved, studied, and stored in a convenient format.
© 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.
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