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Author |
Bonilla, J. et al; Vos, M. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Jets and Jet Substructure at Future Colliders |
Type |
Journal Article |
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Year |
2022 |
Publication |
Frontiers in Physics |
Abbreviated Journal |
Front. Physics |
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Volume |
10 |
Issue |
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Pages |
897719 - 17pp |
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Keywords |
jets; jet substructure; collider; artificial intelligence; machine learning; snowmass; top quark; Higgs boson |
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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. |
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Address |
[Bonilla, Johan; Erbacher, Robin] Univ Calif, Dept Phys & Astron, Davis, CA USA, Email: bpnachman@lbl.gov; |
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Frontiers Media Sa |
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English |
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ISSN |
2296-424x |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000822618100001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5464 |
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Permanent link to this record |
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Author |
Briz, J.A.; Nerio, A.N.; Ballesteros, C.; Borge, M.J.G.; Martinez, P.; Perea, A.; Tavora, V.G.; Tengblad, O.; Ciemala, M.; Maj, A.; Olko, P.; Parol, W.; Pedracka, A.; Sowicki, B.; Zieblinski, M.; Nacher, E. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Proton Radiographs Using Position-Sensitive Silicon Detectors and High-Resolution Scintillators |
Type |
Journal Article |
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Year |
2022 |
Publication |
IEEE Transactions on Nuclear Science |
Abbreviated Journal |
IEEE Trans. Nucl. Sci. |
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Volume |
69 |
Issue |
4 |
Pages |
696-702 |
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Keywords |
LaBr3; particle tracking; proton computed tomography (pCT); proton radiograph; proton therapy; scintillation detectors; silicon detectors |
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Abstract |
Proton therapy is a cancer treatment technique currently in growth since it offers advantages with respect to conventional X-ray and gamma-ray radiotherapy. In particular, better control of the dose deposition allowing to reach higher conformity in the treatments causing less secondary effects. However, in order to take full advantage of its potential, improvements in treatment planning and dose verification are required. A new prototype of proton computed tomography scanner is proposed to design more accurate and precise treatment plans for proton therapy. Our prototype is formed by double-sided silicon strip detectors and scintillators of LaBr3(Ce) with high energy resolution and fast response. Here, the results obtained from an experiment performed using a 100-MeV proton beam are presented. Proton radiographs of polymethyl methacrylate (PMMA) samples of 50-mm thickness with spatial patterns in aluminum were taken. Their properties were studied, including reproduction of the dimensions, spatial resolution, and sensitivity to different materials. Structures of up to 2 mm are well resolved and the sensitivity of the system was enough to distinguish the thicknesses of 10 mm of aluminum or PMMA. The spatial resolution of the images was 0.3 line pairs per mm (MTF-10%). This constitutes the first step to validate the device as a proton radiography scanner. |
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Address |
[Briz, J. A.; Nerio, A. N.; Ballesteros, C.; Borge, M. J. G.; Martinez, P.; Perea, A.; Tavora, V. G.; Tengblad, O.] Inst Estruct Mat CSIC, Madrid 28006, Spain, Email: jose.briz@csic.es |
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Ieee-Inst Electrical Electronics Engineers Inc |
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ISSN |
0018-9499 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000803113800017 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5245 |
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Permanent link to this record |
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Author |
Coloma, P.; Esteban, I.; Gonzalez-Garcia, M.C.; Larizgoitia, L.; Monrabal, F.; Palomares-Ruiz, S. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Bounds on new physics with data of the Dresden-II reactor experiment and COHERENT |
Type |
Journal Article |
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Year |
2022 |
Publication |
Journal of High Energy Physics |
Abbreviated Journal |
J. High Energy Phys. |
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Volume |
05 |
Issue |
5 |
Pages |
037 - 33pp |
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Keywords |
Neutrino Interactions; Non-Standard Neutrino Properties; New Light Particles |
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Abstract |
Coherent elastic neutrino-nucleus scattering was first experimentally established five years ago by the COHERENT experiment using neutrinos from the spallation neutron source at Oak Ridge National Laboratory. The first evidence of observation of coherent elastic neutrino-nucleus scattering with reactor antineutrinos has now been reported by the Dresden-II reactor experiment, using a germanium detector. In this paper, we present constraints on a variety of beyond the Standard Model scenarios using the new Dresden-II data. In particular, we explore the constraints imposed on neutrino nonstandard interactions, neutrino magnetic moments, and several models with light scalar or light vector mediators. We also quantify the impact of their combination with COHERENT (CsI and Ar) data. In doing so, we highlight the synergies between spallation neutron source and nuclear reactor experiments regarding beyond the Standard Model searches, as well as the advantages of combining data obtained with different nuclear targets. We also study the possible signal from beyond the Standard Model scenarios due to elastic scattering off electrons (which would pass selection cuts of the COHERENT CsI and the Dresden-II experiments) and find more stringent constraints in certain parts of the parameter space than those obtained considering coherent elastic neutrino-nucleus scattering. |
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Address |
[Coloma, Pilar] Univ Autonoma Madrid, Inst Fis Teor UAM CSIC, Calle Nicolas Cabrera 18-15, E-28049 Madrid, Spain, Email: pilar.coloma@ift.csic.es; |
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Publisher |
Springer |
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English |
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ISSN |
1029-8479 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000791925200002 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5222 |
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Permanent link to this record |
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Author |
AbdusSalam, S.S. et al; Eberhardt, O. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Simple and statistically sound recommendations for analysing physical theories |
Type |
Journal Article |
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Year |
2022 |
Publication |
Reports on Progress in Physics |
Abbreviated Journal |
Rep. Prog. Phys. |
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Volume |
85 |
Issue |
5 |
Pages |
052201 - 11pp |
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Keywords |
particle physics; statistics; methodology |
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Abstract |
Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. These issues are often sidestepped with statistically unsound ad hoc methods, involving intersection of parameter intervals estimated by multiple experiments, and random or grid sampling of model parameters. Whilst these methods are easy to apply, they exhibit pathologies even in low-dimensional parameter spaces, and quickly become problematic to use and interpret in higher dimensions. In this article we give clear guidance for going beyond these procedures, suggesting where possible simple methods for performing statistically sound inference, and recommendations of readily-available software tools and standards that can assist in doing so. Our aim is to provide any physicists lacking comprehensive statistical training with recommendations for reaching correct scientific conclusions, with only a modest increase in analysis burden. Our examples can be reproduced with the code publicly available at Zenodo. |
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Address |
[AbdusSalam, Shehu S.; Fowlie, Andrew] Shahid Beheshti Univ, Dept Phys, Tehran, Iran, Email: andrew.j.fowlie@njnu.edu.cn |
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Publisher |
IOP Publishing Ltd |
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English |
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ISSN |
0034-4885 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000791574900001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5221 |
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Permanent link to this record |
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Author |
Mandic, I.; Cindro, V.; Debevc, J.; Gorisek, A.; Hiti, B.; Kramberger, G.; Skomina, P.; Zavrtanik, M.; Mikuz, M.; Vilella, E.; Zhang, C.; Powell, S.; Franks, M.; Marco-Hernandez, R.; Steininger, H. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Study of neutron irradiation effects in Depleted CMOS detector structures |
Type |
Journal Article |
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Year |
2022 |
Publication |
Journal of Instrumentation |
Abbreviated Journal |
J. Instrum. |
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Volume |
17 |
Issue |
3 |
Pages |
P03030 - 13pp |
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Keywords |
Particle tracking detectors (Solid-state detectors); Si microstrip and pad detectors; Solid state detectors |
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Abstract |
In this paper the results of Edge-TCT and I-V measurements with passive test structures made in LFoundry 150 nm HV-CMOS process on p-type substrates with different initial resistivities ranging from 0.5 to 3 k Omega cm are presented. Samples were irradiated with reactor neutrons up to a fluence of 2.10(15) n(eq)/cm(2). The depletion depth was measured with Edge-TCT. The effective space charge concentration N-eff was estimated from the dependence of the depletion depth on bias voltage and studied as a function of neutron fluence. The dependence of N-eff on fluence changes with initial acceptor concentration in agreement with other measurements with p-type silicon. A long term accelerated annealing study of N-eff and detector current up to 1280 minutes at 60 degrees C was made. It was found that N-eff and current in reverse biased detector behave as expected for irradiated silicon. |
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Address |
[Mandic, I; Cindro, V; Debevc, J.; Gorisek, A.; Hiti, B.; Kramberger, G.; Skomina, P.; Zavrtanik, M.; Mikuz, M.] Jozef Stefan Inst, Jamova 39, Ljubljana, Slovenia, Email: igor.mandic@ijs.si |
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Publisher |
IOP Publishing Ltd |
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Language |
English |
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ISSN |
1748-0221 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000784713600004 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5208 |
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Permanent link to this record |
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Author |
ATLAS Collaboration (Aad, G. et al); Amos, K.R.; Aparisi Pozo, J.A.; Bailey, A.J.; Cabrera Urban, S.; Cardillo, F.; Castillo Gimenez, V.; Costa, M.J.; Didenko,, M.; Escobar, C.; Estrada Pastor, O.; Fiorini, L.; Fullana Torregrosa, E.; Fuster, J.; Garcia, C.; Garcia Navarro, J.E.; Gonzalez de la Hoz, S.; Gonzalvo Rodriguez, G.R.; Guerrero Rojas, J.G.R.; Higon-Rodriguez, E.; Lacasta, C.; Lozano Bahilo, J.J.; Mamuzic, J.; Marti-Garcia, S.; Martinez Agullo, P.; Miralles Lopez, M.; Mitsou, V.A.; Monsonis Romero, L.; Moreno Llacer, M.; Navarro-Gonzalez, J.; Poveda, J.; Prades Ibañez, A.; Ruiz-Martinez, A.; Sabatini, P.; Salt, J.; Sanchez Sebastian, V.; Sayago Galvan, I.; Soldevila, U.; Sanchez, J.; Torro Pastor, E.; Valero, A.; Valls Ferrer, J.A.; Villaplana Perez, M.; Vos, M. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Operation and performance of the ATLAS semiconductor tracker in LHC Run 2 |
Type |
Journal Article |
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Year |
2022 |
Publication |
Journal of Instrumentation |
Abbreviated Journal |
J. Instrum. |
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Volume |
17 |
Issue |
1 |
Pages |
P01013 - 56pp |
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Keywords |
Charge transport and multiplication in solid media; Particle tracking detectors (Solid-state detectors); Radiation damage to detector materials (solid state); Solid state detectors |
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Abstract |
The semiconductor tracker (SCT) is one of the tracking systems for charged particles in the ATLAS detector. It consists of 4088 silicon strip sensor modules. During Run 2 (2015-2018) the Large Hadron Collider delivered an integrated luminosity of 156 fb(-1) to the ATLAS experiment at a centre-of-mass proton-proton collision energy of 13 TeV. The instantaneous luminosity and pile-up conditions were far in excess of those assumed in the original design of the SCT detector. Due to improvements to the data acquisition system, the SCT operated stably throughout Run 2. It was available for 99.9% of the integrated luminosity and achieved a data-quality efficiency of 99.85%. Detailed studies have been made of the leakage current in SCT modules and the evolution of the full depletion voltage, which are used to study the impact of radiation damage to the modules. ' |
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Address |
[Jackson, P.; Kong, A. X. Y.; Potti, H.; Ruggeri, T. A.; Sharma, A. S.; White, M. J.] Univ Adelaide, Dept Phys, Adelaide, SA, Australia |
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Publisher |
IOP Publishing Ltd |
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English |
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ISSN |
1748-0221 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000766149300002 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5174 |
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Permanent link to this record |
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Author |
Hirn, J.; Garcia, J.E.; Montesinos-Navarro, A.; Sanchez-Martin, R.; Sanz, V.; Verdu, M. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
A deep Generative Artificial Intelligence system to predict species coexistence patterns |
Type |
Journal Article |
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Year |
2022 |
Publication |
Methods in Ecology and Evolution |
Abbreviated Journal |
Methods Ecol. Evol. |
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Volume |
13 |
Issue |
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Pages |
1052-1061 |
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Keywords |
artificial intelligence; direct interactions; generative adversarial networks; indirect interactions; species coexistence; variational AutoEncoders |
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Abstract |
Predicting coexistence patterns is a current challenge to understand diversity maintenance, especially in rich communities where these patterns' complexity is magnified through indirect interactions that prevent their approximation with classical experimental approaches. We explore cutting-edge Machine Learning techniques called Generative Artificial Intelligence (GenAI) to predict species coexistence patterns in vegetation patches, training generative adversarial networks (GAN) and variational AutoEncoders (VAE) that are then used to unravel some of the mechanisms behind community assemblage. The GAN accurately reproduces real patches' species composition and plant species' affinity to different soil types, and the VAE also reaches a high level of accuracy, above 99%. Using the artificially generated patches, we found that high-order interactions tend to suppress the positive effects of low-order interactions. Finally, by reconstructing successional trajectories, we could identify the pioneer species with larger potential to generate a high diversity of distinct patches in terms of species composition. Understanding the complexity of species coexistence patterns in diverse ecological communities requires new approaches beyond heuristic rules. Generative Artificial Intelligence can be a powerful tool to this end as it allows to overcome the inherent dimensionality of this challenge. |
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Address |
[Hirn, Johannes; Enrique Garcia, Jose; Sanz, Veronica] Univ Valencia, CSIC, Inst Fis Corpuscular IFIC, Valencia, Spain, Email: miguel.verdu@ext.uv.es |
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Thesis |
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Publisher |
Wiley |
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English |
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ISSN |
2041-210x |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000765239700001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5155 |
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Permanent link to this record |
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Author |
Borsato, M. et al; Zurita, J.; Henry, L.; Jashal, B.K.; Oyanguren, A. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Unleashing the full power of LHCb to probe stealth new physics |
Type |
Journal Article |
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Year |
2022 |
Publication |
Reports on Progress in Physics |
Abbreviated Journal |
Rep. Prog. Phys. |
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Volume |
85 |
Issue |
2 |
Pages |
024201 - 45pp |
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Keywords |
LHCb; stealth physics; BSM physics; hidden sectors; long-lived particles; dark matter |
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Abstract |
In this paper, we describe the potential of the LHCb experiment to detect stealth physics. This refers to dynamics beyond the standard model that would elude searches that focus on energetic objects or precision measurements of known processes. Stealth signatures include long-lived particles and light resonances that are produced very rarely or together with overwhelming backgrounds. We will discuss why LHCb is equipped to discover this kind of physics at the Large Hadron Collider and provide examples of well-motivated theoretical models that can be probed with great detail at the experiment. |
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Address |
[Borsato, M.] Heidelberg Univ, Phys Inst, Heidelberg, Germany, Email: xabier.cid.vidal@cern.ch |
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Publisher |
IOP Publishing Ltd |
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English |
Summary Language |
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Series Editor |
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ISSN |
0034-4885 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000762056700001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5151 |
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Permanent link to this record |
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Author |
LHCb Collaboration (Aaij, R. et al); Jashal, B.K.; Martinez-Vidal, F.; Oyanguren, A.; Remon Alepuz, C.; Ruiz Vidal, J. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Measurement of prompt charged-particle production in pp collisions at root s=13 TeV |
Type |
Journal Article |
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Year |
2022 |
Publication |
Journal of High Energy Physics |
Abbreviated Journal |
J. High Energy Phys. |
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Volume |
01 |
Issue |
1 |
Pages |
166 - 39pp |
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Keywords |
Forward physics; Hadron-Hadron scattering (experiments); Minimum bias; Particle and resonance production; QCD |
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Abstract |
The differential cross-section of prompt inclusive production of long-lived charged particles in proton-proton collisions is measured using a data sample recorded by the LHCb experiment at a centre-of-mass energy of root s = 13 TeV. The data sample, collected with an unbiased trigger, corresponds to an integrated luminosity of 5.4 nb(-1). The differential cross-section is measured as a function of transverse momentum and pseudorapidity in the ranges P-T is an element of [80, 10 000) MeV/c and eta is an element of [2.0, 4.8) and is determined separately for positively and negatively charged particles. The results are compared with predictions from various hadronic-interaction models. |
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Address |
[Leite, J. Baptista; Bediaga, I; Torres, M. Cruz; De Miranda, J. M.; dos Reis, A. C.; Fleuret, F.; Gomes, A.; Massafferri, A.; Machado, D. Torres] Ctr Brasileiro Pesquisas Fis CBPF, Rio De Janeiro, Brazil, Email: hans.dembinski@tu-dortmund.de |
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Publisher |
Springer |
Place of Publication |
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Editor |
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English |
Summary Language |
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ISSN |
1029-8479 |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000748317500003 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5105 |
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Permanent link to this record |
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Author |
Folgado, M.G.; Sanz, V. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Exploring the political pulse of a country using data science tools |
Type |
Journal Article |
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Year |
2022 |
Publication |
Journal of Computational Social Science |
Abbreviated Journal |
J. Comput. Soc. Sci. |
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Volume |
5 |
Issue |
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Pages |
987-1000 |
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Keywords |
Politics; Spain; Sentiment analysis; Artificial Intelligence; Machine learning; Neural networks; Natural Language Processing (NLP) |
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Abstract |
In this paper we illustrate the use of Data Science techniques to analyse complex human communication. In particular, we consider tweets from leaders of political parties as a dynamical proxy to political programmes and ideas. We also study the temporal evolution of their contents as a reaction to specific events. We analyse levels of positive and negative sentiment in the tweets using new tools adapted to social media. We also train a Fully-Connected Neural Network (FCNN) to recognise the political affiliation of a tweet. The FCNN is able to predict the origin of the tweet with a precision in the range of 71-75%, and the political leaning (left or right) with a precision of around 90%. This study is meant to be viewed as an example of how to use Twitter data and different types of Data Science tools for a political analysis. |
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Address |
[Folgado, Miguel G.; Sanz, Veronica] Univ Valencia, Inst Fis Corpuscular IFIC, CSIC, Valencia 46980, Spain, Email: migarfol@upvnet.upv.es; |
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Corporate Author |
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Thesis |
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Publisher |
Springernature |
Place of Publication |
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Editor |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2432-2717 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
WOS:000742263500002 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
5077 |
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Permanent link to this record |