Integration of the Omega-3 readout chip into a high energy physics experimental data acquisition system

1997 ◽  
Vol 395 (3) ◽  
pp. 379-383 ◽  
Author(s):  
H. Beker ◽  
E. Chesi ◽  
P. Martinengo
Keyword(s):  
Experimental Data ◽  
Data Acquisition ◽  
High Energy Physics ◽  
Data Acquisition System ◽  
High Energy ◽  
Acquisition System ◽  
Omega 3 ◽  
Energy Physics

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

Overview of a Multi-User High Energy Physics Control and Data Acquisition System

1977 ◽  
Vol 24 (1) ◽  
pp. 356-361 ◽  
Author(s):  
M. E. Johnson ◽  
E. J. Barsotti ◽  
H. R. Barton ◽  
J. Bobbitt ◽  
M. Haldeman ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Energy Physics ◽  
Data Acquisition System ◽  
High Energy ◽  
Acquisition System ◽  
Energy Physics

scholarly journals The Continuously Running iFDAQ of the COMPASS Experiment

2019 ◽  
Vol 214 ◽  
pp. 01032
Author(s):  
šubrt Ondᔉej ◽  
Martin Bodlák ◽  
Vladimir Frolov ◽  
Stefan Huber ◽  
Matouš Jandek ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Energy Physics ◽  
Data Acquisition System ◽  
High Energy ◽  
Acquisition System ◽  
Compass Experiment ◽  
To Come ◽  
Reliability And Robustness ◽  
Physics Experiments ◽  
Running Mode

Recently, a stability of Data Acquisition System (DAQ) has become a vital precondition for a successful data taking in high energy physics experiments. The intelligent, FPGA-based Data Acquisition System (iFDAQ) of the COMPASS experiment at CERN is designed to be able to readout data at the maximum rate of the experiment and runsin a mode without any stops. DAQ systems fulfilling such requirements reach the efficiency up to 99%. The newly introduced continuously running mode enables to collect data without a necessity of any other user intervention.Such mode affects all processes of the iFDAQ with high emphasis on timing and precise synchronization. However, every undesirable interruption of data taking can potentially result in a possible loss of physics data. Running24/7 puts stress on reliability and robustness of the system. Therefore, the improvement of the iFDAQ stability had to come first. The continuously running mode and the improved iFDAQ stability helped to collect more physicsdata in the Run 2017. In the paper, we present the continuously running mode in more detail and discuss the overall iFDAQ stability.

A Generic Streaming Software Platform Design for High-energy Physics Data Acquisition Systems

2021 ◽  
pp. 1-1
Author(s):  
Tianxing Wang ◽  
Junfeng Yang ◽  
Hongchao Wang ◽  
Hongwei Yu ◽  
Zhengyang Sun ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Energy Physics ◽  
High Energy ◽  
Software Platform ◽  
Platform Design ◽  
Data Acquisition Systems ◽  
Energy Physics

TCAD simulations of non-irradiated and irradiated low-gain avalanche diodes and comparison with measurements

2022 ◽  
Vol 17 (01) ◽  
pp. C01022
Author(s):  
T. Croci ◽  
A. Morozzi ◽  
F. Moscatelli ◽  
V. Sola ◽  
G. Borghi ◽  
...  
Keyword(s):  
Experimental Data ◽  
High Energy Physics ◽  
Signal To Noise Ratio ◽  
Damage Model ◽  
Surface Damage ◽  
High Energy ◽  
Silicon Detectors ◽  
Avalanche Diodes ◽  
Silicon Sensors ◽  
Energy Physics

Abstract In this work, the results of Technology-CAD (TCAD) device-level simulations of non-irradiated and irradiated Low-Gain Avalanche Diode (LGAD) detectors and their validation against experimental data will be presented. Thanks to the intrinsic multiplication of the charge within these silicon sensors, it is possible to improve the signal to noise ratio thus limiting its drastic reduction with fluence, as it happens instead for standard silicon detectors. Therefore, special attention has been devoted to the choice of the avalanche model, which allows the simulation findings to better fit with experimental data. Moreover, a radiation damage model (called “New University of Perugia TCAD model”) has been fully implemented within the simulation environment, to have a predictive insight into the electrical behavior and the charge collection properties of the LGAD detectors, up to the highest particle fluences expected in the future High Energy Physics (HEP) experiments. This numerical model allows to consider the comprehensive bulk and surface damage effects induced by radiation on silicon sensors. By coupling the “New University of Perugia TCAD model” with an analytical model that describes the mechanism of acceptor removal in the multiplication layer, it has been possible to reproduce experimental data with high accuracy, demonstrating the reliability of the simulation framework.

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