FPGA Based Particle Identification in High Energy Physics Experiments

Author(s):  
H. Fatih Ugurdag ◽  
Ali Basaran ◽  
Taylan Akdogan ◽  
V. Ugur Guney ◽  
Sezer Goren
2020 ◽  
Vol 35 (15n16) ◽  
pp. 2041013 ◽  
Author(s):  
Wei-Ming Yao

Particle identification (PID) plays a key role in heavy-flavor physics in high-energy physics experiments. However, its impact on Higgs physics is still not clear. In this note, we will explore some of the potential of PID to improve the identification of heavy-flavor jets by using identified charged kaons in addition to the traditional vertexing information. This could result in a better measurement of the Higgs-charm Yukawa coupling at the future [Formula: see text] colliders.


2020 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Yi Wang ◽  
Yancheng Yu

With the advantages of high-performance, easy to build and relatively low cost, the multigap resistive plate chamber has been arousing broad interests over the last few decades. It has become a new standard technology for the time of flight system in high energy physics experiments. In this article, we will give a description of the structure and the operating principles of the MRPC detector and focus on reviewing the applications on the time of flight system in several famous experiments. The performances, including time resolution and particle identification, are discussed in detail. Some recent advances and points of view for the future development of the next generation MRPC are also outlined.


Author(s):  
Preeti Kumari ◽  
◽  
Kavita Lalwani ◽  
Ranjit Dalal ◽  
Ashutosh Bhardwaj ◽  
...  

2005 ◽  
Vol 20 (16) ◽  
pp. 3874-3876 ◽  
Author(s):  
B. Abbott ◽  
P. Baringer ◽  
T. Bolton ◽  
Z. Greenwood ◽  
E. Gregores ◽  
...  

The DØ experiment at Fermilab's Tevatron will record several petabytes of data over the next five years in pursuing the goals of understanding nature and searching for the origin of mass. Computing resources required to analyze these data far exceed capabilities of any one institution. Moreover, the widely scattered geographical distribution of DØ collaborators poses further serious difficulties for optimal use of human and computing resources. These difficulties will exacerbate in future high energy physics experiments, like the LHC. The computing grid has long been recognized as a solution to these problems. This technology is being made a more immediate reality to end users in DØ by developing a grid in the DØ Southern Analysis Region (DØSAR), DØSAR-Grid, using all available resources within it and a home-grown local task manager, McFarm. We will present the architecture in which the DØSAR-Grid is implemented, the use of technology and the functionality of the grid, and the experience from operating the grid in simulation, reprocessing and data analyses for a currently running HEP experiment.


2017 ◽  
Vol 12 (12) ◽  
pp. P12004-P12004 ◽  
Author(s):  
F. Arteche ◽  
C. Rivetta ◽  
M. Iglesias ◽  
I. Echeverria ◽  
A. Pradas ◽  
...  

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