Tests of the detector system for the Stopping Target Monitor of the MU2E experiment in a high flux pulsed gamma beam

DOI

This dataset contains data generated with LaBr and Nal detector (DSPEC and oszilloscope data) at the gELBE beam. The gELBE pulsed gamma beam to test the detector system for the Stopping Target Monitor of the MU2E experiment. The gELBE pulsed gamma beam with narrow pulses set to about 600 kHz repetition rate - the choice of the ELBE CW mode with micropulses at 406 kHz or 812.5 kHz is ideal in our case- is the unique facility in the world suited to study the performance of the Stopping Target Monitor detector of the Mu2e Experiment. The STM monitor has the crucial role to normalize the charged lepton flavor muon conversion rate in the Mu2e experiment. The ability to operate at high rate in presence of background is crucial. We have at ELBE the unique possibility to validate the final methodology that will be employed by the STM detector.

Identifier
DOI https://doi.org/10.14278/rodare.1189
Related Identifier https://www.hzdr.de/publications/Publ-33129
Related Identifier https://doi.org/10.14278/rodare.1188
Related Identifier https://rodare.hzdr.de/communities/hzdr
Related Identifier https://rodare.hzdr.de/communities/mu2e
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:1189
Provenance
Creator Alvarez, Claudia; Chen, Jijun; Edmonds, Andrew; Ferrari, Anna (ORCID: 0000-0002-6486-353X); Huang, Shihua; Keshavarzi, Alexander; Knodel, Oliver ORCID logo; Koltick, David; Lancaster, Mark; Miller, James P.; Müller, Stefan ORCID logo; Popp, James L.; Rachamin, Reuven ORCID logo; Simic, Milena; Tickle, Steven; Ufer, Robert (ORCID: 0000-0003-4317-138X); Voigt, Martin (ORCID: 0000-0001-5556-838X)
Publisher Rodare
Publication Year 2021
Rights Restricted Access; info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Life Sciences; Natural Sciences; Engineering Sciences