Pith. sign in

REVIEW 2 cited by

First Linearity and Stability Characterization for CZT Detection System in a e^+e^- Collider Environment

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2410.11294 v2 pith:HL22Q2OY submitted 2024-10-15 physics.ins-det

First Linearity and Stability Characterization for CZT Detection System in a e$^+$e$^-$ Collider Environment

classification physics.ins-det
keywords colliderbeamenvironmentlinearitystabilitycalibrationsdetectiondetectors
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
abstract

The SIDDHARTA-2 collaboration built a new cadmium-zinc-telluride (CZT, CdZnTe)-based X-ray detection system, used for the first time in the DA$\Phi$NE electron-positron collider at INFN-LNF. The aim of this work is to show that these detectors present optimal long- and short-term linearity and stability to perform precise spectroscopic measurements in a collider environment. The spectra used as references for calibration are reported, and the results about the linearity and stability studies are presented. It is also discussed and showed what is the proper function to describe all the effects that alter the Gaussian shape in semiconductors, particularly evident in the CZT case. Good residuals and resolutions were obtained for all the calibrations. In a test run with the source and the collider beam on, it was demonstrated that the calibrations made with beam off are optimal also when the beam is on, and the actual systematics in a physics run were estimated. These promising results show the potentialities of this detector in the high rate environment of a particle collider, and pave the way for the use of CZT detectors in kaonic atoms researches and in accelerators, with applications for particle and nuclear physics.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Economics of AI Training Data: A Research Agenda

    cs.CY 2025-10 conditional novelty 5.0

    The paper organizes AI training data into five exchangeable units, documents 24 licensing deals, and argues data should be a separate factor in production functions.

  2. The Economics of AI Training Data: A Research Agenda

    cs.CY 2025-10 unverdicted novelty 4.0

    The paper synthesizes fragmented research to frame data economics around data's nonrivalry and context dependence, catalogs 2020-2025 AI training data deals, and proposes a hierarchy of data units while listing four f...