IMAGE RECOVERY OF TRANSIENT VOLTAGE BASED ON REAL-TIME MONITORING

2008 ◽  
Vol 22 (05) ◽  
pp. 353-358 ◽  
Author(s):  
YING LIU ◽  
CHI XIE
Keyword(s):  
Electromagnetic Field ◽  
Real Time ◽  
High Energy Physics ◽  
High Energy ◽  
Image Recovery ◽  
Real Time Monitoring ◽  
Electromagnetic Coils ◽  
Transient Voltage ◽  
Transient Overvoltage ◽  
Energy Physics

In modern high-energy physics, a powerful electromagnetic field must be supplied for some elementary particles to be accelerated by passing through the region of high-energy physics fields. The electric current and high voltage producing the powerful electromagnetic field are very important to high-energy accelerators, but the insulation of electromagnetic coils in the accelerators suffers from electric damage under powerful electricity. Epecially, it may be stricken by transient overvoltage from the a.c. generator or electric network at any time. For the insulation problem of electromagnetic coils in the accelerator stricken by transient overvoltage, based on real-time monitoring and virtual image technique, the image recovery of transient voltage and the insulation safety of electromagnetic coils in the accelerator can be analyzed and predicted on-line.

scholarly journals Perspectives for the migration of the LHCb geometry to the DD4hep toolkit

2019 ◽  
Vol 214 ◽  
pp. 02022
Author(s):  
Silvia Borghi ◽  
Chris Burr ◽  
Marco Clemencic ◽  
Gloria Corti ◽  
Ben Couturier ◽  
...  
Keyword(s):  
Real Time ◽  
High Energy Physics ◽  
High Energy ◽  
Software Framework ◽  
Lhcb Experiment ◽  
Simulation Tools ◽  
Time Alignment ◽  
Custom Made ◽  
Description Framework ◽  
Energy Physics

The LHCb experiment uses a custom made C++ detector and geometry description toolkit, integrated with the Gaudi framework, designed when the LHCb software was first implemented. With the LHCb upgrade scheduled for 2021, it is necessary for the experiment to review this choice and adapt to the evolution of software and computing (in terms of e.g multi-threading support or vectorization) The Detector Description Toolkit for High Energy Physics (DD4hep) is a good candidate for the replacement for LHCb’s geometry description framework: it is possible to integrate it with the LHCb core software framework and its features theoretically match the requirements: in terms of geometry and detector description but also concerning the possibility to add detector alignment parameters and the integration with simulation tools. In this paper we report on detailed studies undertaken to compare the feature set proposed by the DD4hep toolkit, to what is needed by LHCb. We show not only how the main description could be migrated, but also how to integrate the LHCb real-time alignment tools in this toolkit, in order to identify the main obstacles to the migration of the experiment to DD4hep.

Real-time parallel processing in high energy physics: architecture of the Blitzen data acquisition system

1994 ◽  
Vol 40 (2-3) ◽  
pp. 167-178
Author(s):  
Sandro Centro ◽  
Edward W. Davis ◽  
R.A. (Fred) Heaton ◽  
Ping Ni ◽  
Donatella Pascoli ◽  
...  
Keyword(s):  
Parallel Processing ◽  
Data Acquisition ◽  
Real Time ◽  
High Energy Physics ◽  
Data Acquisition System ◽  
High Energy ◽  
Acquisition System ◽  
Energy Physics

The implementation and application of statecharts in real-time system in high energy physics

2006 ◽  
Vol 53 (3) ◽  
pp. 1032-1038 ◽  
Author(s):  
Haitao Zhu ◽  
Kejun Zhu ◽  
Yuanping Chu ◽  
Jingwei Zhao
Keyword(s):  
Real Time ◽  
High Energy Physics ◽  
High Energy ◽  
Time System ◽  
Real Time System ◽  
Energy Physics

Neural network for real-time particle discrimination in high-energy physics

1994 ◽  
Author(s):  
Roberto Messi ◽  
Enrico Pasqualucci ◽  
Luciano Paoluzi ◽  
Antonio L. Perrone ◽  
Gianfranco Basti
Keyword(s):  
Neural Network ◽  
Real Time ◽  
High Energy Physics ◽  
High Energy ◽  
Particle Discrimination ◽  
Energy Physics

A Neural Network for Real-Time Particle Discrimination in High-Energy Physics

1996 ◽  
Vol 3 (2) ◽  
pp. 90-107
Author(s):  
Antonio L. Perrone ◽  
Enrico Pasqualucci ◽  
Roberto Messi ◽  
Gianfranco Basti ◽  
Luciano Paoluzi
Keyword(s):  
Neural Network ◽  
Real Time ◽  
High Energy Physics ◽  
High Energy ◽  
Particle Discrimination ◽  
Energy Physics
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