scholarly journals Particle identification for Higgs physics at future electron–positron collider

2020 ◽  
Vol 35 (15n16) ◽  
pp. 2041013 ◽  
Author(s):  
Wei-Ming Yao
Keyword(s):  
Higgs Physics ◽  
Yukawa Coupling ◽  
High Energy Physics ◽  
Flavor Physics ◽  
High Energy ◽  
Particle Identification ◽  
Heavy Flavor ◽  
Electron Positron ◽  
Physics Experiments ◽  
Energy Physics

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.

BEPC, THE BEIJING ELECTRON-POSITRON COLLIDER

1987 ◽  
Vol 02 (06) ◽  
pp. 1707-1725 ◽  
Author(s):  
MINGHAN YE ◽  
ZHIPENG ZHENG
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Particle Accelerator ◽  
Current Status ◽  
High Energy Particle ◽  
Energy Particle ◽  
Republic Of China ◽  
Electron Positron ◽  
Physics Experiments ◽  
Energy Physics

BEPC, which is the first high energy particle accelerator to be built in the People’s Republic of China, is being constructed in Beijing. It consists of four main subsystems: a 1.4 GeV electron-positron linac, a 2.2–2.8 GeV storage ring, a magnetic spectrometer for high energy physics experiments, and synchrotron radiation facilities. All its components are described here in detail, and the current status of the construction is reported.

scholarly journals Multigap Resistive Plate Chambers for Time of Flight Applications

2020 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Yi Wang ◽  
Yancheng Yu
Keyword(s):  
High Performance ◽  
High Energy Physics ◽  
Low Cost ◽  
Time Of Flight ◽  
High Energy ◽  
Particle Identification ◽  
Flight System ◽  
Multigap Resistive Plate Chamber ◽  
Physics Experiments ◽  
Energy Physics

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.

scholarly journals Efficiency Parameterization with Neural Networks

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Francesco Armando Di Bello ◽  
Jonathan Shlomi ◽  
Chiara Badiali ◽  
Guglielmo Frattari ◽  
Eilam Gross ◽  
...  
Keyword(s):  
Neural Network ◽  
High Energy Physics ◽  
High Energy ◽  
Heavy Flavor ◽  
Neural Network Approach ◽  
Large Samples ◽  
Local Densities ◽  
Flavor Tagging ◽  
Physics Experiments ◽  
Energy Physics

AbstractMultidimensional efficiency maps are commonly used in high-energy physics experiments to mitigate the limitations in the generation of large samples of simulated events. Binned efficiency maps are however strongly limited by statistics. We propose a neural network approach to learn ratios of local densities to estimate in an optimal fashion efficiencies as a function of a set of parameters. Graph neural network techniques are used to account for the high dimensional correlations between different physics objects in the event. We show in a specific toy model how this method is applicable to produce accurate multidimensional efficiency maps for heavy-flavor tagging classifiers in HEP experiments, including for processes on which it was not trained.

scholarly journals BSM: Bundled Software Manager and the application for CEPC

2020 ◽  
Vol 245 ◽  
pp. 05028
Author(s):  
Xianghu Zhao ◽  
Manqi Ruan ◽  
Gang Li ◽  
Xiaomei Zhang
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Electron Positron ◽  
Environment Variables ◽  
Software Release ◽  
Environment Control ◽  
Set Up ◽  
Physics Experiments ◽  
Advanced Development ◽  
Energy Physics

The Circular Electron Positron Collider (CEPC) is designed as a future Higgs Factory. Like most high energy physics experiments, the offline software consists of many packages. BSM (Bundled Software Manager) is thus created in order to simplify the deployment and usage of software which has many packages and dependencies. BSM utilizes Git as the software release repository. The details of software are defined in the Git repository including installation instructions, environment, dependencies, etc. Commands are supported for various shells. Json output and python API are also available for advanced development. The installation of each package could be configured separately and extended with customized handlers. BSM manages the environment variables and the version switching is easy. It also has fine environment control on a single package. Users can also define their own packages easily and these packages will be managed by BSM with simple configuration. CEPC software has already set up the deployment procedure with BSM. And BSM is also designed with flexibility to create different applications other than CEPC software. It is suitable for the projects including a lot of packages and it is safe for different BSM applications to coexist with each other under proper configuration.

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.

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