| Records |
| Author |
Calefice, L.; Hennequin, A.; Henry, L.; Jashal, B.K.; Mendoza, D.; Oyanguren, A.; Sanderswood, I.; Sierra, C.V.; Zhuo, J.H. |
| Title |
Effect of the high-level trigger for detecting long-lived particles at LHCb |
Type |
Journal Article |
| Year |
2022 |
Publication  |
Frontiers in Big Data |
Abbreviated Journal |
Front. Big Data |
| Volume |
5 |
Issue |
|
Pages |
1008737 - 13pp |
| Keywords |
LHCb; trigger; real time analysis; long-lived particles; GPU; SciFi; beyond standard physics |
| 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. |
| Address |
[Calefice, Lukas] Sorbonne Univ, Lab Phys Nucl & Hautes Energies, CNRS, IN2P3, Paris, France, Email: arantza.oyanguren@ific.uv.es |
| Corporate Author |
|
Thesis |
|
| Publisher |
Frontiers Media Sa |
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
WOS:000889005000001 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
5423 |
| Permanent link to this record |
| |
|
| |
| Author |
Gomez, M.E.; Lola, S.; Ruiz de Austri, R.; Shafi, Q. |
| Title |
Confronting SUSY GUT With Dark Matter, Sparticle Spectroscopy and Muon (g – 2) |
Type |
Journal Article |
| Year |
2018 |
Publication |
Frontiers in Physics |
Abbreviated Journal |
Front. Physics |
| Volume |
6 |
Issue |
|
Pages |
127 - 9pp |
| Keywords |
grand unification; supersymmetry; dark matter; LHC; sparticle spectroscopy |
| Abstract |
We explore the implications of LHC and cold dark matter searches for supersymmetric particle mass spectra in two different grand unified models with left-right symmetry, SO(10) and SU(4)(c) x SU(2)(L) x SU(2)(R) (4-2-2). We identify characteristic differences between the two scenarios, which imply distinct correlations between experimental measurements and the particular structure of the GUT group. The gauge structure of 4-2-2 enhances significantly the allowed parameter space as compared to SO(10), giving rise to a variety of coannihilation scenarios compatible with the LHC data, LSP dark matter and the ongoing muon g-2 experiment. |
| Address |
[Gomez, Mario E.] Univ Huelva, Fac Ciencias Expt, Dept Ciencias Integradas, Huelva, Spain, Email: mario.gomez@dfa.uhu.es |
| Corporate Author |
|
Thesis |
|
| Publisher |
Frontiers Media Sa |
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2296-424x |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
WOS:000450940000001 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
3808 |
| Permanent link to this record |
| |
|
| |
| Author |
Davidek, T.; Fiorini, L. |
| Title |
Search for Lepton-Flavor-Violating Decays of Bosons With the ATLAS Detector |
Type |
Journal Article |
| Year |
2020 |
Publication |
Frontiers in Physics |
Abbreviated Journal |
Front. Physics |
| Volume |
8 |
Issue |
|
Pages |
149 - 13pp |
| Keywords |
lepton-flavor-violating decays; Z boson; Higgs boson; ATLAS; LHC; particle physics |
| Abstract |
The quest for lepton-flavor-violating processes at the LHC represents one of the key searches for new physics beyond the Standard Model. This review summarizes the direct searches for lepton-flavor-violating decays of heavy bosons with the ATLAS detector, using proton-proton collisions at the center-of-mass energy of 13 TeV. |
| Address |
[Davidek, Tomas] Charles Univ Prague, Inst Particle & Nucl Phys IPNP, Fac Math & Phys, Prague, Czech Republic, Email: tomas.davidek@cern.ch; |
| Corporate Author |
|
Thesis |
|
| Publisher |
Frontiers Media Sa |
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2296-424x |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
WOS:000536708200001 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
4416 |
| Permanent link to this record |
| |
|
| |
| Author |
Bonilla, J. et al; Vos, M. |
| Title |
Jets and Jet Substructure at Future Colliders |
Type |
Journal Article |
| Year |
2022 |
Publication |
Frontiers in Physics |
Abbreviated Journal |
Front. Physics |
| Volume |
10 |
Issue |
|
Pages |
897719 - 17pp |
| Keywords |
jets; jet substructure; collider; artificial intelligence; machine learning; snowmass; top quark; Higgs boson |
| Abstract |
Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics program. We examine the role of jet substructure on the motivation for and design of future energy Frontier colliders. In particular, we discuss the need for a vibrant theory and experimental research and development program to extend jet substructure physics into the new regimes probed by future colliders. Jet substructure has organically evolved with a close connection between theorists and experimentalists and has catalyzed exciting innovations in both communities. We expect such developments will play an important role in the future energy Frontier physics program. |
| Address |
[Bonilla, Johan; Erbacher, Robin] Univ Calif, Dept Phys & Astron, Davis, CA USA, Email: bpnachman@lbl.gov; |
| Corporate Author |
|
Thesis |
|
| Publisher |
Frontiers Media Sa |
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2296-424x |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
WOS:000822618100001 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
yes |
| Call Number |
IFIC @ pastor @ |
Serial |
5464 |
| Permanent link to this record |
| |
|
| |
| Author |
Mendez, V.; Amoros, G.; Garcia, F.; Salt, J. |
| Title |
Emergent algorithms for replica location and selection in data grid |
Type |
Journal Article |
| Year |
2010 |
Publication |
Future Generation Computer Systems |
Abbreviated Journal |
Futur. Gener. Comp. Syst. |
| Volume |
26 |
Issue |
7 |
Pages |
934-946 |
| Keywords |
Grid computing; Algorithms; Optimization methods; Artificial intelligence |
| Abstract |
Grid infrastructures for e-Science projects are growing in magnitude terms. Improvements in data Grid replication algorithms may be critical in many of these infrastructures. This paper shows a decentralized replica optimization service, providing a general Emergent Artificial Intelligence (EAI) algorithm for the problem definition. Our aim is to set up a theoretical framework for emergent heuristics in Grid environments. Further, we describe two EAI approaches, the Particle Swarm Optimization PSO-Grid Multiswarm Federation and the Ant Colony Optimization ACO-Grid Asynchronous Colonies Optimization replica optimization algorithms, with some examples. We also present extended results with best performance and scalability features for PSO-Grid Multiswarrn Federation. |
| Address |
[Mendez Munoz, Victor; Amoros Vicente, Gabriel; Salt Cairols, Jose] CSIC, Grid & E Sci Grp, Inst Fis Corpuscular IFIC, Mixed Inst, E-46071 Valencia, Spain, Email: vmendez@ific.uv.es |
| Corporate Author |
|
Thesis |
|
| Publisher |
Elsevier Science Bv |
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0167-739x |
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
ISI:000279804200004 |
Approved |
no |
| Is ISI |
yes |
International Collaboration |
no |
| Call Number |
IFIC @ elepoucu @ |
Serial |
411 |
| Permanent link to this record |
