scholarly journals High time resolution, two-dimensional position sensitive MSMGRPC for high energy physics experiments

2020 ◽  
Author(s):  
Mariana Petris ◽  
Daniel Bartos ◽  
Mihai Petrovici ◽  
Laura Radulescu ◽  
Victor Simion ◽  
...  
Keyword(s):  
Time Resolution ◽  
High Energy Physics ◽  
High Energy ◽  
High Time ◽  
High Time Resolution ◽  
Two Dimensional ◽  
Position Sensitive ◽  
Physics Experiments ◽  
Energy Physics

scholarly journals Track Finding with Deep Neural Networks

2019 ◽  
Vol 20 (4) ◽  
Author(s):  
Marcin Kucharczyk ◽  
Marcin Wolter
Keyword(s):  
Deep Neural Networks ◽  
High Energy Physics ◽  
Charged Particles ◽  
High Energy ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Data Dependencies ◽  
Speed Up ◽  
Physics Experiments ◽  
Energy Physics

High Energy Physics experiments require fast and efficient methods toreconstruct the tracks of charged particles. Commonly used algorithms aresequential and the CPU required increases rapidly with a number of tracks.Neural networks can speed up the process due to their capability to modelcomplex non-linear data dependencies and finding all tracks in parallel.In this paper we describe the application of the Deep Neural Networkto the reconstruction of straight tracks in a toy two-dimensional model. It isplanned to apply this method to the experimental data taken by the MUonEexperiment at CERN.

scholarly journals Advanced scintillation materials for calorimetry at circular colliders

2021 ◽  
Vol 57 (4) ◽  
pp. 479-484
Author(s):  
M. V. Korzhik
Keyword(s):  
Time Resolution ◽  
First Generation ◽  
High Energy Physics ◽  
Hadron Collider ◽  
High Energy ◽  
High Time ◽  
Wide Energy Range ◽  
High Time Resolution ◽  
Electron Positron ◽  
Wide Energy

The most probable scenario for the development of experimental high-energy physics in the next 50 years is the creation of a family of Future Circular Colliders (FCC) at CERN, a Circular Electron–Positron Collider at China, and a Future Electron-Ion Collider at Brookhaven (USA), which continue the Large Hadron Collider (LHC) scientific program within the framework of the Standard Model and beyond it. The first generation of colliders to be put into operation will utilize the electron beam as one of the colliding species to provide precise mass spectroscopy in a wide energy range. Similarly to the measurements at the high luminosity phase of the LHC operation, the most important property of the detectors to be used in the experimental setup is a combination of the short response of the detectors and their high time resolution. The radiation tolerance to a harsh irradiation environment remains mandatory but not the main factor of the collider’s experiments using electronic beams. A short response in combination with high time resolution ensures minimization of the influence of the pile-up and spill-over effects at the high frequency of collisions (higher than 50 MGz). The radiation hardness of the materials maintains the long-term high accuracy of the detector calibration. This paper discusses the prospects for using modern inorganic scintillation materials for calorimetric detectors at future colliders.

Development of Silicon Sensor Characterization System for Future High Energy Physics Experiments

2015 ◽  
Vol 3 (1) ◽  
pp. 41-45
Author(s):  
Preeti Kumari ◽  
◽  
Kavita Lalwani ◽  
Ranjit Dalal ◽  
Ashutosh Bhardwaj ◽  
...  
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Physics Experiments ◽  
Silicon Sensor ◽  
Energy Physics

scholarly journals Performance of an Operating High Energy Physics Data Grid: DØSAR-Grid

2005 ◽  
Vol 20 (16) ◽  
pp. 3874-3876 ◽  
Author(s):  
B. Abbott ◽  
P. Baringer ◽  
T. Bolton ◽  
Z. Greenwood ◽  
E. Gregores ◽  
...  
Keyword(s):  
Geographical Distribution ◽  
High Energy Physics ◽  
High Energy ◽  
End Users ◽  
Southern Analysis ◽  
Data Analyses ◽  
Use Of Technology ◽  
Computing Grid ◽  
Physics Experiments ◽  
Energy Physics

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.

scholarly journals Noise propagation effects in power supply distribution systems for high-energy physics experiments

2017 ◽  
Vol 12 (12) ◽  
pp. P12004-P12004 ◽  
Author(s):  
F. Arteche ◽  
C. Rivetta ◽  
M. Iglesias ◽  
I. Echeverria ◽  
A. Pradas ◽  
...  
Keyword(s):  
Power Supply ◽  
Distribution Systems ◽  
High Energy Physics ◽  
High Energy ◽  
Noise Propagation ◽  
Propagation Effects ◽  
Physics Experiments ◽  
Energy Physics
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