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Author |
Karuseichyk, I.; Sorelli, G.; Walschaers, M.; Treps, N.; Gessner, M. |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Resolving mutually-coherent point sources of light with arbitrary statistics |
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Journal Article |
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Year |
2022 |
Publication |
Physical Review Research |
Abbreviated Journal |
Phys. Rev. Res. |
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4 |
Issue |
4 |
Pages |
043010 - 11pp |
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We analyze the problem of resolving two mutually coherent point sources with arbitrary quantum statistics, mutual phase, and relative and absolute intensity. We use a sensitivity measure based on the method of moments and compare direct imaging with spatial-mode demultiplexing (SPADE), analytically proving advantage of the latter. We show that the moment-based sensitivity of SPADE saturates the quantum Fisher information for all known cases, even for non-Gaussian states of the sources. |
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[Karuseichyk, Ilya; Sorelli, Giacomo; Walschaers, Mattia; Treps, Nicolas] Univ PSL, Sorbonne Univ, Coll France, Lab Kastler Brossel,ENS,CNRS, 4 Pl Jussieu, F-75252 Paris, France, Email: ilya.karuseichyk@lkb.upmc.fr |
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Amer Physical Soc |
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English |
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WOS:000876858200004 |
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no |
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yes |
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yes |
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Call Number |
IFIC @ pastor @ |
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5400 |
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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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5 |
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Pages |
1008737 - 13pp |
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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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[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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WOS:000889005000001 |
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no |
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yes |
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yes |
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Call Number |
IFIC @ pastor @ |
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5423 |
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Author |
Navarro-Salas, J.; Pla, S. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Particle Creation and the Schwinger Model |
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Journal Article |
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Year |
2022 |
Publication |
Symmetry-Basel |
Abbreviated Journal |
Symmetry-Basel |
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14 |
Issue |
11 |
Pages |
2435 - 9pp |
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Schwinger model; semiclassical theory; particle creation |
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We study the particle creation process in the Schwinger model coupled with an external classical source. One can approach the problem by taking advantage of the fact that the full quantized model is solvable and equivalent to a (massive) gauge field with a non-local effective action. Alternatively, one can also face the problem by following the standard semiclassical route. This means quantizing the massless Dirac field and considering the electromagnetic field as a classical background. We evaluate the energy created by a generic, homogeneous, and time-dependent source. The results match exactly in both approaches. This proves in a very direct and economical way the validity of the semiclassical approach for the (massless) Schwinger model, in agreement with a previous analysis based on the linear response equation. Our discussion suggests that a similar analysis for the massive Schwinger model could be used as a non-trivial laboratory to confront a fully quantized solvable model with its semiclassical approximation, therefore mimicking the long-standing confrontation of quantum gravity with quantum field theory in curved spacetime. |
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[Navarro-Salas, Jose] Univ Valencia, Ctr Mixto Univ Valencia CSIC, Fac Fis, Dept Fis Teor & IFIC, Burjassot 46100, Valencia, Spain, Email: jnavarro@ific.uv.es |
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Mdpi |
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WOS:000895122100001 |
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no |
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yes |
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yes |
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Call Number |
IFIC @ pastor @ |
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5432 |
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Author |
Ramirez-Uribe, S.; Hernandez-Pinto, R.J.; Rodrigo, G.; Sborlini, G.F.R. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
From Five-Loop Scattering Amplitudes to Open Trees with the Loop-Tree Duality |
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Journal Article |
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Year |
2022 |
Publication |
Symmetry-Basel |
Abbreviated Journal |
Symmetry-Basel |
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14 |
Issue |
12 |
Pages |
2571 - 14pp |
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Keywords |
perturbative QFT; higher-order calculations; multiloop Feynman integrals |
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Characterizing multiloop topologies is an important step towards developing novel methods at high perturbative orders in quantum field theory. In this article, we exploit the Loop-Tree Duality (LTD) formalism to analyse multiloop topologies that appear for the first time at five loops. Explicitly, we open the loops into connected trees and group them according to their topological properties. Then, we identify a kernel generator, the so-called N7MLT universal topology, that allows us to describe any scattering amplitude of up to five loops. Furthermore, we provide factorization and recursion relations that enable us to write these multiloop topologies in terms of simpler subtopologies, including several subsets of Feynman diagrams with an arbitrary number of loops. Our approach takes advantage of many symmetries present in the graphical description of the original fundamental five-loop topologies. The results obtained in this article might shed light into a more efficient determination of higher-order corrections to the running couplings, which are crucial in the current and future precision physics program. |
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[Ramirez-Uribe, Selomit; Rodrigo, German] Univ Valencia, Inst Fis Corpuscular, Consejo Super Invest Cient, Parc Cient, E-46980 Paterna, Spain, Email: roger@uas.edu.mx |
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Mdpi |
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WOS:000904374000001 |
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no |
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yes |
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yes |
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Call Number |
IFIC @ pastor @ |
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5450 |
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Author |
Khosa, C.K.; Sanz, V.; Soughton, M. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
A simple guide from machine learning outputs to statistical criteria in particle physics |
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Journal Article |
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2022 |
Publication |
Scipost Physics Core |
Abbreviated Journal |
SciPost Phys. Core |
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5 |
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4 |
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050 - 31pp |
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In this paper we propose ways to incorporate Machine Learning training outputs into a study of statistical significance. We describe these methods in supervised classification tasks using a CNN and a DNN output, and unsupervised learning based on a VAE. As use cases, we consider two physical situations where Machine Learning are often used: high-pT hadronic activity, and boosted Higgs in association with a massive vector boson. |
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[Khosa, Charanjit Kaur] Univ Bristol, HH Wills Phys Lab, Tyndall Ave, Bristol BS8 1TL, Avon, England, Email: Charanjit.Kaur@bristol.ac.uk; |
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Scipost Foundation |
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WOS:000929724800002 |
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no |
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yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
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5475 |
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Author |
Herrero-Garcia, J.; Patrick, R.; Scaffidi, A. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
A semi-supervised approach to dark matter searches in direct detection data with machine learning |
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Journal Article |
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Year |
2022 |
Publication |
Journal of Cosmology and Astroparticle Physics |
Abbreviated Journal |
J. Cosmol. Astropart. Phys. |
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02 |
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Pages |
039 - 19pp |
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The dark matter sector remains completely unknown. It is therefore crucial to keep an open mind regarding its nature and possible interactions. Focusing on the case of Weakly Interacting Massive Particles, in this work we make this general philosophy more concrete by applying modern machine learning techniques to dark matter direct detection. We do this by encoding and decoding the graphical representation of background events in the XENONnT experiment with a convolutional variational autoencoder. We describe a methodology that utilizes the `anomaly score' derived from the reconstruction loss of the convolutional variational autoencoder as well as a pre-trained standard convolutional neural network, in a semi-supervised fashion. Indeed, we observe that optimum results are obtained only when both unsupervised and supervised anomaly scores are considered together. A data set that has a higher proportion of anomaly score is deemed anomalous and deserves further investigation. Contrary to classical analyses, in principle all information about the events is used, preventing unnecessary information loss. Lastly, we demonstrate the reach of learning-focused anomaly detection in this context by comparing results with classical inference, observing that, if tuned properly, these techniques have the potential to outperform likelihood-based methods. |
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no |
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yes |
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yes |
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Call Number |
IFIC @ pastor @ |
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5495 |
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Author |
Liptak, Z. et al; Marinas, C. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Measurements of beam backgrounds in SuperKEKB Phase 2 |
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Journal Article |
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Year |
2022 |
Publication |
Nuclear Instruments & Methods in Physics Research A |
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Nucl. Instrum. Methods Phys. Res. A |
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Volume |
1040 |
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167168 - 19pp |
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The high design luminosity of the SuperKEKB electron–positron collider will result in challenging levels of beam-induced backgrounds in the interaction region. Understanding and mitigating these backgrounds is critical to the success of the Belle II experiment. We report on the first background measurements performed after roll-in of the Belle II detector, a period known as SuperKEKB Phase 2, utilizing both the BEAST II system of dedicated background detectors and the Belle II detector itself. We also report on first revisions to the background simulation made in response to our findings. Backgrounds measured include contributions from synchrotron radiation, beam-gas, Touschek, and injection backgrounds. At the end of Phase 2, single-beam backgrounds originating from the 4 GeV positron Low Energy Ring (LER) agree reasonably well with simulation, while backgrounds from the 7 GeV electron High Energy Ring (HER) are approximately one order of magnitude higher than simulation. We extrapolate these backgrounds forward and conclude it is safe to install the Belle II vertex detector. |
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no |
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yes |
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IFIC @ pastor @ |
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5496 |
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Author |
Middeldorf-Wygas, M.M.; Oldengott, I.M.; Bödeker, D.; Schwarz, D.J. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Cosmic QCD transition for large lepton flavor asymmetries |
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Journal Article |
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2022 |
Publication |
Physical Review D |
Abbreviated Journal |
Phys. Rev. D |
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Volume |
105 |
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123533 - 10pp |
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We study the impact of large lepton flavor asymmetries on the cosmic QCD transition. Scenarios of unequal lepton flavor asymmetries are observationally almost unconstrained and therefore open up a whole new parameter space for the cosmic QCD transition. We find that for large asymmetries, the formation of a Bose-Einstein condensate of pions can occur and identify the corresponding parameter space. In the vicinity of the QCD transition scale, we express the pressure in terms of a Taylor expansion with respect to the complete set of chemical potentials. The Taylor coefficients rely on input from lattice QCD calculations from the literature. The domain of applicability of this method is discussed. |
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no |
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yes |
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yes |
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IFIC @ pastor @ |
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5497 |
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Author |
NA64 Collaboration (Andreev, Y.M. et al); Molina Bueno, L. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Search for a New B-L Z' Gauge Boson with the NA64 Experiment at CERN |
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Journal Article |
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Year |
2022 |
Publication |
Physical Review Letters |
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Phys. Rev. Lett. |
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Volume |
129 |
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161801 - 6pp |
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A search for a new Z′ gauge boson associated with (un)broken B−L symmetry in the keV–GeV mass range is carried out for the first time using the missing-energy technique in the NA64 experiment at the CERN SPS. From the analysis of the data with 3.22×10^11 electrons on target collected during 2016–2021 runs, no signal events were found. This allows us to derive new constraints on the Z′−e coupling strength, which, for the mass range 0.3≲ mZ′≲ 100 MeV, are more stringent compared to those obtained from the neutrino-electron scattering data. |
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IFIC @ pastor @ |
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5499 |
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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 |
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Journal Article |
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Year |
2022 |
Publication |
Seismological Research Letters |
Abbreviated Journal |
Seismol. Res. Lett. |
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93 |
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2529-2542 |
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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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IFIC @ pastor @ |
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5500 |
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