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Other literature type . 2024
License: CC BY NC
Data sources: ZENODO
ZENODO
Thesis . 2024
License: CC BY NC
Data sources: Datacite
ZENODO
Thesis . 2024
License: CC BY NC
Data sources: Datacite
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Advancements in CERN's Radiation Monitoring and Data Analysis Solutions for Radiation to Electronics applications

Authors: Bilko, Kacper;

Advancements in CERN's Radiation Monitoring and Data Analysis Solutions for Radiation to Electronics applications

Abstract

This thesis focuses on the aspects related to the protection of electronics in the CERN radiation environment, also known as Radiation Hardness Assurance. In particular, the two core pillars are investigated, namely i) characterization of the CERN's radiation environment through the currently available radiation monitors, ii) applications of commercial silicon solid-state detectors for monitoring radiation fields and particle beams (relevant for electronics testing). In the first thesis branch, the focus is on the two largest CERN accelerators, the SPS and the LHC, Thanks to multiple complementary radiation monitors, such as Beam Loss Monitors, Optical Fibers, and RadMons, and developed data analysis software solutions, the comprehensive view of the radiation spatial distribution and its time evolution. In the case of the SPS, the focus is on the 2021 operation and related beam loss mechanisms. For LHC, the accelerator restart in 2022 is covered. The second branch covers a silicon solid-state detector calibration and applications. Within the calibration, the detector response in proton-, neutron-, and heavy-ion beams is demonstrated. Furthermore, it is shown how the detector can be used for complete beam monitoring, in terms of flux, energy, and spatial distribution. The silicon detector-related work is concluded with the applications for radiation field characterization, such as atmospheric or accelerator one. The work covers also engineering aspects that enabled the synthesis of the related huge datasets.

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green