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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 |
Type |
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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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 |
de Azcarraga, J.A. |
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Title |
The new Spanish educational legislation: why public education will not improve |
Type |
Journal Article |
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Year |
2022 |
Publication |
Revista Española de Pedagogía |
Abbreviated Journal |
Rev. Esp. Pedagog. |
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Volume |
80 |
Issue |
281 |
Pages |
111-129 |
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Keywords |
Forthcoming Spanish educational legislation; primary school; secondary education; universities |
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Abstract |
This paper provides some reasons that explain, in the view of the author, why the present eagerness of the Spanish Educational Authorities to reform all levels of education, from primary school to the universities, will not improve the quality of the Spanish educational system. |
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Address |
[Adolfo de Azcarraga, Jose] Univ Valencia, Fis Teor, Valencia, Spain, Email: j.a.de.azcarraga@ific.uv.es |
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Univ Int Rioja-Unir |
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Spanish |
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ISSN |
0034-9461 |
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Notes |
WOS:000752024500007 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
no |
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Call Number |
IFIC @ pastor @ |
Serial |
5125 |
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Author |
Garcia Navarro, J.E.; Fernandez-Prieto, L.M.; Villaseñor, A.; Sanz, V.; Ammirati, J.B.; Diaz Suarez, E.A.; Garcia, C. |
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Title |
Performance of Deep Learning Pickers in Routine Network Processing Applications |
Type |
Journal Article |
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Year |
2022 |
Publication |
Seismological Research Letters |
Abbreviated Journal |
Seismol. Res. Lett. |
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Volume |
93 |
Issue |
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Pages |
2529-2542 |
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Abstract |
Picking arrival times of P and S phases is a fundamental and time‐consuming task for the routine processing of seismic data acquired by permanent and temporary networks. A large number of automatic pickers have been developed, but to perform well they often require the tuning of multiple parameters to adapt them to each dataset. Despite the great advance in techniques, some problems remain, such as the difficulty to accurately pick S waves and earthquake recordings with a low signal‐to‐noise ratio. Recently, phase pickers based on deep learning (DL) have shown great potential for event identification and arrival‐time picking. However, the general adoption of these methods for the routine processing of monitoring networks has been held back by factors such as the availability of well‐documented software, computational resources, and a gap in knowledge of these methods. In this study, we evaluate recent available DL pickers for earthquake data, comparing the performance of several neural network architectures. We test the selected pickers using three datasets with different characteristics. We found that the analyzed DL pickers (generalized phase detection, PhaseNet, and EQTransformer) perform well in the three tested cases. They are very efficient at ignoring large‐amplitude transient noise and at picking S waves, a task that is often difficult even for experienced analysts. Nevertheless, the performance of the analyzed DL pickers varies widely in terms of sensitivity and false discovery rate, with some pickers missing a significant percentage of true picks and others producing a large number of false positives. There are also variations in run time between DL pickers, with some of them requiring significant resources to process large datasets. In spite of these drawbacks, we show that DL pickers can be used efficiently to process large seismic datasets and obtain results comparable or better than current standard procedures. |
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Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5500 |
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Permanent link to this record |
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Author |
HISPEC-DESPEC Collaboration (Polettini, M. et al); Algora, A.; Morales, A.I.; Orrigo, S.E.A. |
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Title |
Decay studies in the A similar to 225 Po-Fr region from the DESPEC campaign at GSI in 2021 |
Type |
Journal Article |
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Year |
2022 |
Publication |
Nuovo Cimento C |
Abbreviated Journal |
Nuovo Cim. C |
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Volume |
45 |
Issue |
5 |
Pages |
125 - 4pp |
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Abstract |
The HISPEC-DESPEC collaboration aims at investigating the struc-ture of exotic nuclei formed in fragmentation reactions with decay spectroscopymeasurements, as part of the FAIR Phase-0 campaign at GSI. This paper reportson first results of an experiment performed in spring 2021, with a focus on beta-decaystudies in the Po-Fr nuclei in the 220 < A <230 island of octupole deformationexploiting the DESPEC setup. Ion-beta correlations and fast-timing techniques arebeing employed, giving an insight into this difficult-to-reach region. |
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Address |
[Polettini, M.; Benzoni, G.; Genna, D.; Bracco, A.; Bottoni, S.; Camera, F.; Crespi, F. C. L.; Gamba, E. R.; Leoni, S.; Million, B.; Porzio, C.; Wieland, O.; Ziliani, S.] Univ Milan, Dipartimento Fis, Milan, Italy |
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Soc Italiana Fisica |
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English |
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ISSN |
2037-4909 |
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Notes |
WOS:000819174100001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5292 |
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Permanent link to this record |
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Author |
Capra, S. et al; Gadea, A. |
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Title |
GALTRACE: A highly segmented silicon detector array for charged particle spectroscopy and discrimination |
Type |
Journal Article |
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Year |
2022 |
Publication |
Nuovo Cimento C |
Abbreviated Journal |
Nuovo Cim. C |
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Volume |
45 |
Issue |
5 |
Pages |
98 - 4pp |
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Keywords |
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Abstract |
GALTRACE is an array of segmented silicon detectors specifically built to work as an ancillary of the GALILEO gamma-ray spectrometer at Legnaro National Laboratory of INFN. GALTRACE consists of four telescopic Delta E-Edetectors which allow discriminating light charged particles also via pulse-shape analysis techniques. The good angular and energy resolutions, together with particle discrimination capabilities, make GALTRACE suitable for experiments where coincidences with specific emitted particles allow for the selection of reaction channels with very low cross section. The first in-beam experiment is reported here, aiming at identifying a narrow resonance, near-proton-threshold state in B-11, currently under discussion. |
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Address |
[Capra, S.; Ziliani, S.; LEONI, S.; PULLIA, A.; BOTTONI, S.; CAMERA, F.; CRESPI, F. C. L.; GAMBA, E.; MILLION, B.; POLETTINI, M.] Univ Milan, Milan, Italy |
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Soc Italiana Fisica |
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English |
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ISSN |
2037-4909 |
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Notes |
WOS:000819587500001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5282 |
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Permanent link to this record |