Jefferson Lab > CIO > IR
Privacy and Security Notice

Publications

Publication Information

Title A new Transition Radiation detector based on GEM technology
Authors Fernando Barbosa, Howard Fenker, Sergey Furletov, Yulia Furletova, Kondo Gnanvo, Nilanga Liyanage, Lubomir Pentchev, Matthew Posik, Christopher Stanislav, Bernd Surrow, Benedikt Zihlmann
JLAB number JLAB-PHY-19-2909
LANL number (None)
Other number DOE/OR/23177-4663
Document Type(s) (Journal Article) 
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
 

Journal
Compiled for Nuclear Instruments & Methods in Physics Research, Section A
Volume 942
Page(s) 15875
Refereed
Publication Abstract: Transition Radiation Detectors (TRD) has the attractive feature separating particles by their gamma factor. The classical TRDs are based on Multi-Wire Proportional Chambers (MWPC) or straw tubes, using a Xenon based gas mixture to efficiently absorb transition radiation photons. %While it works for These detectors operate well in experiments with relatively low particle multiplicity. The performance of MWPC-TRD in experiments with luminosity of order $10^{34} cm^2s^{-1}$ and above, is significantly deteriorated due to the high particle multiplicity and channel occupancy. Replacing MWPC or straw tubes with a high granularity Micro Pattern Gas Detectors (MPGD) like Gas Electron Multipliers (GEMs), could improve the performance of the TRD. In addition, GEM technology allows to combine a high precision tracker with TRD identificator. This report presents a new TRD development based on GEM technology for the future Electron Ion Collider (EIC). A first beam test was performed at Jefferson Lab (Hall-D) using 3-6 GeV electrons. A GEM-TRD module has been exposed to electrons with and without a fiber radiator. First results of test beam measurements and comparison with Geant4 Monte Carlo will be presented.
Experiment Numbers: other
Group: Hall D
Document: pdf
DOI: https://doi.org/10.1016/j.nima.2019.162356
Accepted Manuscript: 1-s2.0-S0168900219309337-main.pdf
Supporting Documents:
Supporting Datasets: