scholarly journals Future flavour physics experiments

2015 ◽  
Vol 528 (1-2) ◽  
pp. 102-107
Author(s):  
Neville Harnew
Keyword(s):  
Physics Experiments ◽  
Flavour Physics

Future flavour physics experiments: LHCb and Super B factories

2012 ◽  
Vol 13 (2) ◽  
pp. 159-167 ◽  
Author(s):  
Marie-Hélène Schune ◽  
Achille Stocchi
Keyword(s):  
Physics Experiments ◽  
Flavour Physics

ILL FACILITIES FOR FUNDAMENTAL PHYSICS EXPERIMENTS

1984 ◽  
Vol 45 (C3) ◽  
pp. C3-279-C3-284 ◽  
Author(s):  
P. Ageron ◽  
W. Mampe
Keyword(s):  
Fundamental Physics ◽  
Physics Experiments

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

Mosaic Diamond Detector Research for High Energy Physics Experiments

2014 ◽  
Author(s):  
John Cumalat ◽  
Kevin Stenson ◽  
Stephen Wagner
Keyword(s):  
High Energy Physics ◽  
High Energy ◽  
Diamond Detector ◽  
Physics Experiments ◽  
Energy Physics

Collective optical Thomson scattering in pulsed-power driven high energy density physics experiments (invited)

2021 ◽  
Vol 92 (3) ◽  
pp. 033542
Author(s):  
L. G. Suttle ◽  
J. D. Hare ◽  
J. W. D. Halliday ◽  
S. Merlini ◽  
D. R. Russell ◽  
...  
Keyword(s):  
Energy Density ◽  
Thomson Scattering ◽  
High Energy ◽  
Pulsed Power ◽  
High Energy Density ◽  
High Energy Density Physics ◽  
Physics Experiments

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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