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Author  |
Calefice, L.; Hennequin, A.; Henry, L.; Jashal, B.K.; Mendoza, D.; Oyanguren, A.; Sanderswood, I.; Sierra, C.V.; Zhuo, J.H. |
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Title |
Effect of the high-level trigger for detecting long-lived particles at LHCb |
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Journal Article |
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Year |
2022 |
Publication |
Frontiers in Big Data |
Abbreviated Journal |
Front. Big Data |
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Volume |
5 |
Issue |
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Pages |
1008737 - 13pp |
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Keywords |
LHCb; trigger; real time analysis; long-lived particles; GPU; SciFi; beyond standard physics |
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Abstract |
Long-lived particles (LLPs) show up in many extensions of the Standard Model, but they are challenging to search for with current detectors, due to their very displaced vertices. This study evaluated the ability of the trigger algorithms used in the Large Hadron Collider beauty (LHCb) experiment to detect long-lived particles and attempted to adapt them to enhance the sensitivity of this experiment to undiscovered long-lived particles. A model with a Higgs portal to a dark sector is tested, and the sensitivity reach is discussed. In the LHCb tracking system, the farthest tracking station from the collision point is the scintillating fiber tracker, the SciFi detector. One of the challenges in the track reconstruction is to deal with the large amount of and combinatorics of hits in the LHCb detector. A dedicated algorithm has been developed to cope with the large data output. When fully implemented, this algorithm would greatly increase the available statistics for any long-lived particle search in the forward region and would additionally improve the sensitivity of analyses dealing with Standard Model particles of large lifetime, such as KS0 or Lambda (0) hadrons. |
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Address |
[Calefice, Lukas] Sorbonne Univ, Lab Phys Nucl & Hautes Energies, CNRS, IN2P3, Paris, France, Email: arantza.oyanguren@ific.uv.es |
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Frontiers Media Sa |
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English |
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Notes |
WOS:000889005000001 |
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no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5423 |
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Author |
Dimmock, M.R.; Nikulin, D.A.; Gillam, J.E.; Nguyen, C.V. |
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Title |
An OpenCL Implementation of Pinhole Image Reconstruction |
Type |
Journal Article |
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Year |
2012 |
Publication |
IEEE Transactions on Nuclear Science |
Abbreviated Journal |
IEEE Trans. Nucl. Sci. |
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Volume |
59 |
Issue |
4 |
Pages |
1738-1749 |
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Keywords |
Collimator; GPU; OpenCL; pinhole |
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Abstract |
AC++/OpenCL software platform for emission image reconstruction of data from pinhole cameras has been developed. The software incorporates a new, accurate but computationally costly, probability distribution function for operating on list-mode data from detector stacks. The platform architecture is more general than previous works, supporting advanced models such as arbitrary probability distribution, collimation geometry and detector stack geometry. The software was implemented such that all performance-critical operations occur on OpenCL devices, generally GPUs. The performance of the software is tested on several commodity CPU and GPU devices. |
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Address |
[Dimmock, Matthew R.; Nikulin, Dmitri A.; Nguyen, Chuong V.] Monash Univ, Sch Phys, Melbourne, Vic 3800, Australia, Email: matthew.dimmock@synchrotron.org.au; |
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Ieee-Inst Electrical Electronics Engineers Inc |
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English |
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0018-9499 |
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Notes |
WOS:000307893900034 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
1145 |
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