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description Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2023Publisher:Copernicus GmbH S. Halilovic; F. Böttcher; F. Böttcher; K. Zosseder; T. Hamacher;The optimization of open-loop shallow geothermal systems, which includes both design and operational aspects, is an important research area aimed at improving their efficiency and sustainability and the effective management of groundwater as a shallow geothermal resource. This paper investigates various approaches to address optimization problems arising from these research and implementation questions about GWHP systems. The identified optimization approaches are thoroughly analyzed based on criteria such as computational cost and applicability. Moreover, a novel classification scheme is introduced that categorizes the approaches according to the types of groundwater simulation model and the optimization algorithm used. Simulation models are divided into two types: numerical and simplified (analytical or data-driven) models, while optimization algorithms are divided into gradient-based and derivative-free algorithms. Finally, a comprehensive review of existing approaches in the literature is provided, highlighting their strengths and limitations and offering recommendations for both the use of existing approaches and the development of new, improved ones in this field. Comment: 16 pages, 3 figures; submitted to Advances in Geosciences
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/adgeo-62-57-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/adgeo-62-57-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2023 FrancePublisher:American Physical Society (APS) Funded by:SNSF | Experimental Particle and..., ANR | SUNCORE, NSERC +6 projectsSNSF| Experimental Particle and Astroparticle Physics Beyond The Standard Model ,ANR| SUNCORE ,NSERC ,EC| INPhINIT ,EC| SK2HK ,SNSF| Towards neutrino CP violation: Strengthening the Japanese neutrino program T2K and Hyper-Kamiokande ,EC| JENNIFER2 ,EC| FELLINI ,SNSF| TOWARDS THE IMPROVEMENT OF NEUTRINO OSCILLATION MEASUREMENTS: T2K AND THE JAPANESE PROGRAMK. Abe; N. Akhlaq; R. Akutsu; H. Alarakia-Charles; A. Ali; Y. I. Alj Hakim; S. Alonso Monsalve; C. Alt; C. Andreopoulos; M. Antonova; S. Aoki; T. Arihara; Y. Asada; Y. Ashida; E. T. Atkin; M. Barbi; G. J. Barker; G. Barr; D. Barrow; M. Batkiewicz-Kwasniak; F. Bench; V. Berardi; L. Berns; S. Bhadra; A. Blanchet; A. Blondel; S. Bolognesi; T. Bonus; S. Bordoni; S. B. Boyd; A. Bravar; C. Bronner; S. Bron; A. Bubak; M. Buizza Avanzini; J. A. Caballero; N. F. Calabria; S. Cao; D. Carabadjac; A. J. Carter; S. L. Cartwright; M. P. Casado; M. G. Catanesi; A. Cervera; J. Chakrani; D. Cherdack; P. S. Chong; G. Christodoulou; A. Chvirova; M. Cicerchia; J. Coleman; G. Collazuol; L. Cook; A. Cudd; C. Dalmazzone; T. Daret; P. Dasgupta; Yu. I. Davydov; A. De Roeck; G. De Rosa; T. Dealtry; C. C. Delogu; C. Densham; A. Dergacheva; F. Di Lodovico; S. Dolan; D. Douqa; T. A. Doyle; O. Drapier; J. Dumarchez; P. Dunne; K. Dygnarowicz; A. Eguchi; S. Emery-Schrenk; G. Erofeev; A. Ershova; G. Eurin; D. Fedorova; S. Fedotov; M. Feltre; A. J. Finch; G. A. Fiorentini Aguirre; G. Fiorillo; M. D. Fitton; J. M. Franco Patiño; M. Friend; Y. Fujii; Y. Fukuda; Y. Furui; K. Fusshoeller; L. Giannessi; C. Giganti; V. Glagolev; M. Gonin; J. González Rosa; E. A. G. Goodman; A. Gorin; M. Grassi; M. Guigue; D. R. Hadley; J. T. Haigh; P. Hamacher-Baumann; D. A. Harris; M. Hartz; T. Hasegawa; S. Hassani; N. C. Hastings; Y. Hayato; D. Henaff; A. Hiramoto; M. Hogan; J. Holeczek; A. Holin; T. Holvey; N. T. Hong Van; T. Honjo; F. Iacob; A. K. Ichikawa; M. Ikeda; T. Ishida; M. Ishitsuka; H. T. Israel; A. Izmaylov; N. Izumi; M. Jakkapu; B. Jamieson; S. J. Jenkins; C. Jesús-Valls; J. J. Jiang; J. Y. Ji; P. Jonsson; S. Joshi; C. K. Jung; P. B. Jurj; M. Kabirnezhad; A. C. Kaboth; T. Kajita; H. Kakuno; J. Kameda; S. P. Kasetti; Y. Kataoka; T. Katori; M. Kawaue; E. Kearns; M. Khabibullin; A. Khotjantsev; T. Kikawa; S. King; V. Kiseeva; J. Kisiel; T. Kobata; H. Kobayashi; T. Kobayashi; L. Koch; S. Kodama; A. Konaka; L. L. Kormos; Y. Koshio; A. Kostin; T. Koto; K. Kowalik; Y. Kudenko; Y. Kudo; S. Kuribayashi; R. Kurjata; T. Kutter; M. Kuze; M. La Commara; L. Labarga; K. Lachner; J. Lagoda; S. M. Lakshmi; M. Lamers James; M. Lamoureux; A. Langella; J.-F. Laporte; D. Last; N. Latham; M. Laveder; L. Lavitola; M. Lawe; Y. Lee; C. Lin; S.-K. Lin; R. P. Litchfield; S. L. Liu; W. Li; A. Longhin; K. R. Long; A. Lopez Moreno; L. Ludovici; X. Lu; T. Lux; L. N. Machado; L. Magaletti; K. Mahn; M. Malek; M. Mandal; S. Manly; A. D. Marino;This paper reports the first measurement of muon neutrino charged-current interactions without pions in the final state using multiple detectors with correlated energy spectra at T2K. The data was collected on hydrocarbon targets using the off-axis T2K near detector (ND280) and the on-axis T2K near detector (INGRID) with neutrino energy spectra peaked at 0.6 GeV and 1.1 GeV respectively. The correlated neutrino flux presents an opportunity to reduce the impact of the flux uncertainty and to study the energy dependence of neutrino interactions. The extracted double-differential cross sections are compared to several Monte Carlo neutrino-nucleus interaction event generators showing the agreement between both detectors individually and with the correlated result. Updated discussion in Sec. V-A; Updated author list
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1103/physre...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . Preprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1103/physrevd.108.112009&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1103/physre...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . Preprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1103/physrevd.108.112009&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 Germany, France, Spain, Italy, FrancePublisher:Springer Science and Business Media LLC Abe, S.; Adams, J.; Allard, D.; Alldredge, P.; Anchordoqui, L.; Anzalone, A.; Arnone, E.; Baret, B.; Barghini, D.; Battisti, M.; Bayer, J.; Bellotti, R.; Belov, A.; Bertaina, M.; Bertone, P.; Bianciotto, M.; Biermann, P.; Bisconti, F.; Blaksley, C.; Blin-Bondil, S.; Bobik, P.; Bolmgren, K.; Briz, S.; Burton, J.; Cafagna, F.; Cambié, G.; Campana, D.; Capel, F.; Caruso, R.; Casolino, M.; Cassardo, C.; Castellina, A.; Černý, K.; Christl, M.; Colalillo, R.; Conti, L.; Cotto, G.; Crawford, H.; Cremonini, R.; Creusot, A.; Cummings, A.; Castro Gónzalez, A.; Taille, C.; Peral, L.; Diesing, R.; Dinaucourt, P.; Nola, A.; Ebersoldt, A.; Ebisuzaki, T.; Eser, J.; Fenu, F.; Ferrarese, S.; Filippatos, G.; Finch, W.; Flaminio, F.; Fornaro, C.; Fuehne, D.; Fuglesang, C.; Fukushima, M.; Gardiol, D.; Garipov, G.; Golzio, A.; Gorodetzky, P.; Guarino, F.; Guépin, C.; Guzmán, A.; Haungs, A.; Heibges, T.; Hernández-Carretero, J.; Isgrò, F.; Judd, E.; Kajino, F.; Kaneko, I.; Kawasaki, Y.; Kleifges, M.; Klimov, P.; Kreykenbohm, I.; Krizmanic, J.; Kungel, V.; Kuznetsov, E.; López Martínez, F.; Mackovjak, S.; Mandát, D.; Manfrin, M.; Marcelli, A.; Marcelli, L.; Marszał, W.; Matthews, J.; Menshikov, A.; Mernik, T.; Mese, M.; Meyer, S.; Mimouni, J.; Miyamoto, H.; Mizumoto, Y.; Monaco, A.; Morales de los Ríos, J.A; Nagataki, S.; Nachtman, J.; Naumov, D.; Neronov, A.; Nonaka, T.; Ogawa, T.; Ogio, S.; Ohmori, H.; Olinto, A.; Onel, Y.; Osteria, G.; Pagliaro, A.; Panico, B.; Parizot, E.; Park, I.; Pastircak, B.; Paul, T.; Pech, M.; Perfetto, F.; Picozza, P.; Piotrowski, L.; Plebaniak, Z.; Posligua, J.; Prevete, R.; Prévôt, G.; Prieto, H.; Przybylak, M.; Putis, M.; Reali, E.; Reardon, P.; Reno, M.; Ricci, M.; Rodríguez Frías, M.; Romoli, G.; Sáez Cano, G.; Sagawa, H.; Sakaki, N.; Santangelo, A.; Saprykin, O.; Sarazin, F.; Sato, M.; Schieler, H.; Schovánek, P.; Scotti, V.; Selmane, S.; Sharakin, S.; Shinozaki, K.; Soriano, J.; Szabelski, J.; Tajima, N.; Tajima, T.; Takahashi, Y.; Takeda, M.; Takizawa, Y.; Tenzer, C.; Thomas, S.; Tkachev, L.; Tomida, T.; Toscano, S.; Traïche, M.; Trofimov, D.; Tsuno, K.; Vallania, P.; Valore, L.; Venters, T.; Vigorito, C.; Ballmoos, P.; Vrabel, M.; Wada, S.; Watts, J.; Weindl, A.; Wiencke, L.; Wilms, J.; Winn, D.; Wistrand, H.; Yashin, I.; Young, R.; Zotov, M.;JEM-EUSO is an international program for the development of space-based Ultra-High Energy Cosmic Ray observatories. The program consists of a series of missions which are either under development or in the data analysis phase. All instruments are based on a wide-field-of-view telescope, which operates in the near-UV range, designed to detect the fluorescence light emitted by extensive air showers in the atmosphere. We describe the simulation software ESAF in the framework of the JEM-EUSO program and explain the physical assumptions used. We present here the implementation of the JEM-EUSO, POEMMA, K-EUSO, TUS, Mini-EUSO, EUSO-SPB1 and EUSO-TA configurations in ESAF. For the first time ESAF simulation outputs are compared with experimental data. Comunidad de Madrid
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); European Physical Journal C: Particles and Fields; Biblioteca Digital de la Universidad de AlcaláOther literature type . Article . 2023 . Peer-reviewedLicense: CC BY NC NDMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04288595/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1140/epjc/s10052-023-12090-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); European Physical Journal C: Particles and Fields; Biblioteca Digital de la Universidad de AlcaláOther literature type . Article . 2023 . Peer-reviewedLicense: CC BY NC NDMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04288595/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1140/epjc/s10052-023-12090-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2023 United KingdomPublisher:IOP Publishing Funded by:ANR | PostProdLEAPANR| PostProdLEAPAuthors: Lucía Bouza; Aurélie Bugeau; Loïc Lannelongue;Lucía Bouza; Aurélie Bugeau; Loïc Lannelongue;Machine learning and deep learning models have become essential in the recent fast development of artificial intelligence in many sectors of the society. It is now widely acknowledge that the development of these models has an environmental cost that has been analyzed in many studies. Several online and software tools have been developed to track energy consumption while training machine learning models. In this paper, we propose a comprehensive introduction and comparison of these tools for AI practitioners wishing to start estimating the environmental impact of their work. We review the specific vocabulary, the technical requirements for each tool. We compare the energy consumption estimated by each tool on two deep neural networks for image processing and on different types of servers. From these experiments, we provide some advice for better choosing the right tool and infrastructure. Environmental Research Communications, 2023
Apollo arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04120582v2/documenthttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2515-7620/acf81b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Apollo arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04120582v2/documenthttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2515-7620/acf81b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Report , Preprint 2023 United StatesPublisher:Purdue Funded by:NSF | HDR Institute: HARP- Harn..., NSF | EAGER: Spatiotemporal Big..., NSF | III: Medium: Investigatin... +1 projectsNSF| HDR Institute: HARP- Harnessing Data and Model Revolution in the Polar Regions ,NSF| EAGER: Spatiotemporal Big Data Analysis to Understand COVID-19 Effects ,NSF| III: Medium: Investigating Spatial-Temporal Informatics for Transportation Science ,NSF| BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data RevolutionGhosh, Subhankar; An, Shuai; Sharma, Arun; Gupta, Jayant; Shekhar, Shashi; Subramanian, Aneesh;Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or deep learning to combine different climate projections. Such approaches are inadequate when different regions require different weighting schemes for accurate and reliable sea-level rise predictions. This paper proposes a zonal regression model which addresses spatial variability and model inter-dependency. Experimental results show more reliable predictions using the weights learned via this approach on a regional scale. 6 pages, 5 figures, I-GUIDE 2023 conference
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5703/1288284317665&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5703/1288284317665&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Other literature type , Article 2023 GermanyPublisher:Elsevier BV Mentges, Andrea; Halekotte, Lukas; Schneider, Moritz; Demmer, Tobias; Lichte, Daniel;We present a comprehensive resilience glossary, comprising a set of 91 definitions of resilience-related terms used in the context of critical infrastructures. The definition and use of many of these terms, as well as the term resilience itself, shows an enormous variability in the literature. Therefore, we draw from the diverse pool of published definitions, integrate multiple contrasting views, compare the individual terms, and provide references to adjoining or contesting views, to create a clear resilience terminology. This terminology outlines a specific understanding of resilience which supports the effective assessment and management of the resilience of critical infrastructures. The two central elements of this understanding are that (1) resilience is the ability of a system to deal with the impacts of unspecific and possibly unforeseen disruptive events, and that (2) this ability comprises three pillar capacities whose quality can be extracted from performance curves. Comment: 55 pages, 4 figures
arXiv.org e-Print Ar... arrow_drop_down International Journal of Disaster Risk ReductionArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijdrr.2023.103893&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down International Journal of Disaster Risk ReductionArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijdrr.2023.103893&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023Publisher:MDPI AG Funded by:UKRI | Industrial CASE Account -...UKRI| Industrial CASE Account - University of Aberdeen 2021Authors: Rebecca Potts; Rick Hackney; Georgios Leontidis;Rebecca Potts; Rick Hackney; Georgios Leontidis;Predicting emissions for gas turbines is critical for monitoring harmful pollutants being released into the atmosphere. In this study, we evaluate the performance of machine learning models for predicting emissions for gas turbines. We compare an existing predictive emissions model, a first principles-based Chemical Kinetics model, against two machine learning models we developed based on SAINT and XGBoost, to demonstrate improved predictive performance of nitrogen oxides (NOx) and carbon monoxide (CO) using machine learning techniques. Our analysis utilises a Siemens Energy gas turbine test bed tabular dataset to train and validate the machine learning models. Additionally, we explore the trade-off between incorporating more features to enhance the model complexity, and the resulting presence of increased missing values in the dataset. 23 pages, 9 figures, 1 appendix
Machine Learning and... arrow_drop_down Machine Learning and Knowledge ExtractionOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2504-4990/5/3/55/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/make5030055&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Machine Learning and... arrow_drop_down Machine Learning and Knowledge ExtractionOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2504-4990/5/3/55/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/make5030055&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 FrancePublisher:Springer Science and Business Media LLC Funded by:EC | QBH Structure, NSF | Fundamental Interactions ...EC| QBH Structure ,NSF| Fundamental Interactions and CosmologyAuthors: Pierre Heidmann; Anthony Houppe;Pierre Heidmann; Anthony Houppe;We construct large families of supergravity solutions that are asymptotic to AdS$_2$ and terminate with a cap that is singular in two dimensions but smooth in higher dimensions. These solutions break supersymmetry and conformal invariance. We list arguments suggesting that they correspond to finite-energy excitations in empty AdS$_2$ that back-react on the geometry by inducing non-trivial bubbling topology. They are constructed from the novel technique associated with the Ernst formalism for AdS$_D\times\mathcal{C}$ solitons in supergravity \cite{Bah:2022pdn}. The technique is applied to $D=2$ in M-theory with $\mathcal{C}=\,$S$^3\times$T$^6$. The directions of $\mathcal{C}$ degenerate smoothly as a chain of bolts which ends the spacetime in the IR and generates non-supersymmetric bubbles supported by M2-brane flux. Some specific solutions have ``flat'' directions where the sizes of their bubbles are totally unconstrained and can be arbitrarily tuned while the asymptotics remains fixed. The solitons should correspond to regular non-supersymmetric states of a holographically dual CFT$_1$. Comment: 46 pages, 15 figures, 3 appendices. v2 published version: minor corrections + section about energy of the solutions. arXiv admin note: text overlap with arXiv:2210.06483
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteHyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep07(2023)186&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteHyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep07(2023)186&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2023 GermanyPublisher:EDP Sciences Baumeister, Philipp; Tosi, Nicola; Brachmann, Caroline; Grenfell, John Lee; MacKenzie, Jasmine;A major goal in the search for extraterrestrial life is the detection of liquid water on the surface of exoplanets. On terrestrial planets, volcanic outgassing is a significant source of atmospheric and surface water and a major contributor to the long-term evolution of the atmosphere. The rate of volcanism depends on the interior evolution and on numerous feedback processes between atmosphere and interior, which continuously shape atmospheric composition, pressure, and temperature. We present the results of a comprehensive 1D model of the coupled evolution of the interior and atmosphere of rocky exoplanets that combines central feedback processes between these two reservoirs. We carried out more than \num{280000} simulations over a wide range of mantle redox states and volatile content, planetary masses, interior structures and orbital distances in order to robustly assess the emergence, accumulation and preservation of surface water on rocky planets. To establish a conservative baseline of which types of planets can outgas and sustain water on their surface, we focus here on stagnant-lid planets. We find that only a narrow range of the mantle redox state around the iron-w\"ustite buffer allows the formation of atmospheres that lead to long-term habitable conditions. At oxidizing conditions similar to those of the Earth's mantle, most stagnant-lid planets end up in a hothouse regime akin to Venus due to strong \ce{CO2} outgassing. At more reducing conditions, the amount of outgassed greenhouse gases is often too low to keep surface water from freezing. In addition, Mercury-like planets with large metallic cores are able to sustain habitable conditions at an extended range of orbital distances as a result of lower volcanic activity. Comment: 23 pages, 18 figures, accepted for publication in Astronomy & Astrophysics
Refubium - Repositor... arrow_drop_down Refubium - Repositorium der Freien Universität BerlinOther literature type . 2023License: CC BYData sources: Refubium - Repositorium der Freien Universität Berlinhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/0004-6361/202245791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Refubium - Repositor... arrow_drop_down Refubium - Repositorium der Freien Universität BerlinOther literature type . 2023License: CC BYData sources: Refubium - Repositorium der Freien Universität Berlinhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/0004-6361/202245791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2023 France, SpainPublisher:Springer Science and Business Media LLC Authors: Castellano Mora, Alberto; Herráez Escudero, Alvaro; Ibañez Santiago, Luis Enrique;Castellano Mora, Alberto; Herráez Escudero, Alvaro; Ibañez Santiago, Luis Enrique;handle: 10486/708553
In the Emergence Proposal in QG it is conjectured that all light-particle kinetic terms are absent in the fundamental UV theory and are generated by quantum corrections in the IR. It has been argued that this may provide for some microscopic understanding of the WGC and SDC. In the present paper we take the first steps towards a systematic study of Emergence in the context of string theory. We emphasize the crucial role of the species scale in any EFT coupled to gravity, and discuss its computation in string theory and general systems with light towers of states. We then introduce the notion of Emergence and show how kinetic terms for moduli, gauge bosons and fermions may be generated. One-loop computations play an important role in Emergence, so we present detailed calculations in $d$ spacetime dimensions for the wave-function renormalization of scalars, vectors and fermions. We extend and check the Emergence Proposal in a number string vacua, including 4d $\mathcal{N}=2$ theories arising from type IIA on a CY$_3$, where the towers at strong coupling are comprised by D0 and (wrapped) D2-branes, and also elaborate on how instanton corrections would fit within the emergence picture. Higher dimensional examples are also discussed, including 6d and 7d models arising from F-/M-theory on an elliptic CY$_3$ or a $K3$ surface. We also consider 10d string theories and study in some detail the emergence mechanism in type IIA. We show as well how the flux potential in 4d may be obtained from the emergence prescription, by analyzing the corresponding decompactification limits to M-theory. We find that the required kinetic terms for the dual 3-form fields can arise upon integrating out towers of massive gravitini (and bosonic superpartners). Our analysis renders support to the Emergence Proposal, and to the idea that infinite distance singularities may arise in QG as an intrinsic IR phenomenon. Comment: v2: minor changes and typos corrected. 79 pages + Appendices, 11 figures, 8 tables
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Full-Text: https://doi.org/10.1007/JHEP06(2023)047Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL Descartes; Hyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023Full-Text: https://hal.science/hal-03920021/documenthttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep06(2023)047&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Full-Text: https://doi.org/10.1007/JHEP06(2023)047Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL Descartes; Hyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023Full-Text: https://hal.science/hal-03920021/documenthttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep06(2023)047&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2023Publisher:Copernicus GmbH S. Halilovic; F. Böttcher; F. Böttcher; K. Zosseder; T. Hamacher;The optimization of open-loop shallow geothermal systems, which includes both design and operational aspects, is an important research area aimed at improving their efficiency and sustainability and the effective management of groundwater as a shallow geothermal resource. This paper investigates various approaches to address optimization problems arising from these research and implementation questions about GWHP systems. The identified optimization approaches are thoroughly analyzed based on criteria such as computational cost and applicability. Moreover, a novel classification scheme is introduced that categorizes the approaches according to the types of groundwater simulation model and the optimization algorithm used. Simulation models are divided into two types: numerical and simplified (analytical or data-driven) models, while optimization algorithms are divided into gradient-based and derivative-free algorithms. Finally, a comprehensive review of existing approaches in the literature is provided, highlighting their strengths and limitations and offering recommendations for both the use of existing approaches and the development of new, improved ones in this field. Comment: 16 pages, 3 figures; submitted to Advances in Geosciences
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/adgeo-62-57-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/adgeo-62-57-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2023 FrancePublisher:American Physical Society (APS) Funded by:SNSF | Experimental Particle and..., ANR | SUNCORE, NSERC +6 projectsSNSF| Experimental Particle and Astroparticle Physics Beyond The Standard Model ,ANR| SUNCORE ,NSERC ,EC| INPhINIT ,EC| SK2HK ,SNSF| Towards neutrino CP violation: Strengthening the Japanese neutrino program T2K and Hyper-Kamiokande ,EC| JENNIFER2 ,EC| FELLINI ,SNSF| TOWARDS THE IMPROVEMENT OF NEUTRINO OSCILLATION MEASUREMENTS: T2K AND THE JAPANESE PROGRAMK. Abe; N. Akhlaq; R. Akutsu; H. Alarakia-Charles; A. Ali; Y. I. Alj Hakim; S. Alonso Monsalve; C. Alt; C. Andreopoulos; M. Antonova; S. Aoki; T. Arihara; Y. Asada; Y. Ashida; E. T. Atkin; M. Barbi; G. J. Barker; G. Barr; D. Barrow; M. Batkiewicz-Kwasniak; F. Bench; V. Berardi; L. Berns; S. Bhadra; A. Blanchet; A. Blondel; S. Bolognesi; T. Bonus; S. Bordoni; S. B. Boyd; A. Bravar; C. Bronner; S. Bron; A. Bubak; M. Buizza Avanzini; J. A. Caballero; N. F. Calabria; S. Cao; D. Carabadjac; A. J. Carter; S. L. Cartwright; M. P. Casado; M. G. Catanesi; A. Cervera; J. Chakrani; D. Cherdack; P. S. Chong; G. Christodoulou; A. Chvirova; M. Cicerchia; J. Coleman; G. Collazuol; L. Cook; A. Cudd; C. Dalmazzone; T. Daret; P. Dasgupta; Yu. I. Davydov; A. De Roeck; G. De Rosa; T. Dealtry; C. C. Delogu; C. Densham; A. Dergacheva; F. Di Lodovico; S. Dolan; D. Douqa; T. A. Doyle; O. Drapier; J. Dumarchez; P. Dunne; K. Dygnarowicz; A. Eguchi; S. Emery-Schrenk; G. Erofeev; A. Ershova; G. Eurin; D. Fedorova; S. Fedotov; M. Feltre; A. J. Finch; G. A. Fiorentini Aguirre; G. Fiorillo; M. D. Fitton; J. M. Franco Patiño; M. Friend; Y. Fujii; Y. Fukuda; Y. Furui; K. Fusshoeller; L. Giannessi; C. Giganti; V. Glagolev; M. Gonin; J. González Rosa; E. A. G. Goodman; A. Gorin; M. Grassi; M. Guigue; D. R. Hadley; J. T. Haigh; P. Hamacher-Baumann; D. A. Harris; M. Hartz; T. Hasegawa; S. Hassani; N. C. Hastings; Y. Hayato; D. Henaff; A. Hiramoto; M. Hogan; J. Holeczek; A. Holin; T. Holvey; N. T. Hong Van; T. Honjo; F. Iacob; A. K. Ichikawa; M. Ikeda; T. Ishida; M. Ishitsuka; H. T. Israel; A. Izmaylov; N. Izumi; M. Jakkapu; B. Jamieson; S. J. Jenkins; C. Jesús-Valls; J. J. Jiang; J. Y. Ji; P. Jonsson; S. Joshi; C. K. Jung; P. B. Jurj; M. Kabirnezhad; A. C. Kaboth; T. Kajita; H. Kakuno; J. Kameda; S. P. Kasetti; Y. Kataoka; T. Katori; M. Kawaue; E. Kearns; M. Khabibullin; A. Khotjantsev; T. Kikawa; S. King; V. Kiseeva; J. Kisiel; T. Kobata; H. Kobayashi; T. Kobayashi; L. Koch; S. Kodama; A. Konaka; L. L. Kormos; Y. Koshio; A. Kostin; T. Koto; K. Kowalik; Y. Kudenko; Y. Kudo; S. Kuribayashi; R. Kurjata; T. Kutter; M. Kuze; M. La Commara; L. Labarga; K. Lachner; J. Lagoda; S. M. Lakshmi; M. Lamers James; M. Lamoureux; A. Langella; J.-F. Laporte; D. Last; N. Latham; M. Laveder; L. Lavitola; M. Lawe; Y. Lee; C. Lin; S.-K. Lin; R. P. Litchfield; S. L. Liu; W. Li; A. Longhin; K. R. Long; A. Lopez Moreno; L. Ludovici; X. Lu; T. Lux; L. N. Machado; L. Magaletti; K. Mahn; M. Malek; M. Mandal; S. Manly; A. D. Marino;This paper reports the first measurement of muon neutrino charged-current interactions without pions in the final state using multiple detectors with correlated energy spectra at T2K. The data was collected on hydrocarbon targets using the off-axis T2K near detector (ND280) and the on-axis T2K near detector (INGRID) with neutrino energy spectra peaked at 0.6 GeV and 1.1 GeV respectively. The correlated neutrino flux presents an opportunity to reduce the impact of the flux uncertainty and to study the energy dependence of neutrino interactions. The extracted double-differential cross sections are compared to several Monte Carlo neutrino-nucleus interaction event generators showing the agreement between both detectors individually and with the correlated result. Updated discussion in Sec. V-A; Updated author list
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1103/physre...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . Preprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1103/physrevd.108.112009&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1103/physre...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . Preprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1103/physrevd.108.112009&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 Germany, France, Spain, Italy, FrancePublisher:Springer Science and Business Media LLC Abe, S.; Adams, J.; Allard, D.; Alldredge, P.; Anchordoqui, L.; Anzalone, A.; Arnone, E.; Baret, B.; Barghini, D.; Battisti, M.; Bayer, J.; Bellotti, R.; Belov, A.; Bertaina, M.; Bertone, P.; Bianciotto, M.; Biermann, P.; Bisconti, F.; Blaksley, C.; Blin-Bondil, S.; Bobik, P.; Bolmgren, K.; Briz, S.; Burton, J.; Cafagna, F.; Cambié, G.; Campana, D.; Capel, F.; Caruso, R.; Casolino, M.; Cassardo, C.; Castellina, A.; Černý, K.; Christl, M.; Colalillo, R.; Conti, L.; Cotto, G.; Crawford, H.; Cremonini, R.; Creusot, A.; Cummings, A.; Castro Gónzalez, A.; Taille, C.; Peral, L.; Diesing, R.; Dinaucourt, P.; Nola, A.; Ebersoldt, A.; Ebisuzaki, T.; Eser, J.; Fenu, F.; Ferrarese, S.; Filippatos, G.; Finch, W.; Flaminio, F.; Fornaro, C.; Fuehne, D.; Fuglesang, C.; Fukushima, M.; Gardiol, D.; Garipov, G.; Golzio, A.; Gorodetzky, P.; Guarino, F.; Guépin, C.; Guzmán, A.; Haungs, A.; Heibges, T.; Hernández-Carretero, J.; Isgrò, F.; Judd, E.; Kajino, F.; Kaneko, I.; Kawasaki, Y.; Kleifges, M.; Klimov, P.; Kreykenbohm, I.; Krizmanic, J.; Kungel, V.; Kuznetsov, E.; López Martínez, F.; Mackovjak, S.; Mandát, D.; Manfrin, M.; Marcelli, A.; Marcelli, L.; Marszał, W.; Matthews, J.; Menshikov, A.; Mernik, T.; Mese, M.; Meyer, S.; Mimouni, J.; Miyamoto, H.; Mizumoto, Y.; Monaco, A.; Morales de los Ríos, J.A; Nagataki, S.; Nachtman, J.; Naumov, D.; Neronov, A.; Nonaka, T.; Ogawa, T.; Ogio, S.; Ohmori, H.; Olinto, A.; Onel, Y.; Osteria, G.; Pagliaro, A.; Panico, B.; Parizot, E.; Park, I.; Pastircak, B.; Paul, T.; Pech, M.; Perfetto, F.; Picozza, P.; Piotrowski, L.; Plebaniak, Z.; Posligua, J.; Prevete, R.; Prévôt, G.; Prieto, H.; Przybylak, M.; Putis, M.; Reali, E.; Reardon, P.; Reno, M.; Ricci, M.; Rodríguez Frías, M.; Romoli, G.; Sáez Cano, G.; Sagawa, H.; Sakaki, N.; Santangelo, A.; Saprykin, O.; Sarazin, F.; Sato, M.; Schieler, H.; Schovánek, P.; Scotti, V.; Selmane, S.; Sharakin, S.; Shinozaki, K.; Soriano, J.; Szabelski, J.; Tajima, N.; Tajima, T.; Takahashi, Y.; Takeda, M.; Takizawa, Y.; Tenzer, C.; Thomas, S.; Tkachev, L.; Tomida, T.; Toscano, S.; Traïche, M.; Trofimov, D.; Tsuno, K.; Vallania, P.; Valore, L.; Venters, T.; Vigorito, C.; Ballmoos, P.; Vrabel, M.; Wada, S.; Watts, J.; Weindl, A.; Wiencke, L.; Wilms, J.; Winn, D.; Wistrand, H.; Yashin, I.; Young, R.; Zotov, M.;JEM-EUSO is an international program for the development of space-based Ultra-High Energy Cosmic Ray observatories. The program consists of a series of missions which are either under development or in the data analysis phase. All instruments are based on a wide-field-of-view telescope, which operates in the near-UV range, designed to detect the fluorescence light emitted by extensive air showers in the atmosphere. We describe the simulation software ESAF in the framework of the JEM-EUSO program and explain the physical assumptions used. We present here the implementation of the JEM-EUSO, POEMMA, K-EUSO, TUS, Mini-EUSO, EUSO-SPB1 and EUSO-TA configurations in ESAF. For the first time ESAF simulation outputs are compared with experimental data. Comunidad de Madrid
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); European Physical Journal C: Particles and Fields; Biblioteca Digital de la Universidad de AlcaláOther literature type . Article . 2023 . Peer-reviewedLicense: CC BY NC NDMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04288595/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1140/epjc/s10052-023-12090-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); European Physical Journal C: Particles and Fields; Biblioteca Digital de la Universidad de AlcaláOther literature type . Article . 2023 . Peer-reviewedLicense: CC BY NC NDMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04288595/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1140/epjc/s10052-023-12090-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2023 United KingdomPublisher:IOP Publishing Funded by:ANR | PostProdLEAPANR| PostProdLEAPAuthors: Lucía Bouza; Aurélie Bugeau; Loïc Lannelongue;Lucía Bouza; Aurélie Bugeau; Loïc Lannelongue;Machine learning and deep learning models have become essential in the recent fast development of artificial intelligence in many sectors of the society. It is now widely acknowledge that the development of these models has an environmental cost that has been analyzed in many studies. Several online and software tools have been developed to track energy consumption while training machine learning models. In this paper, we propose a comprehensive introduction and comparison of these tools for AI practitioners wishing to start estimating the environmental impact of their work. We review the specific vocabulary, the technical requirements for each tool. We compare the energy consumption estimated by each tool on two deep neural networks for image processing and on different types of servers. From these experiments, we provide some advice for better choosing the right tool and infrastructure. Environmental Research Communications, 2023
Apollo arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04120582v2/documenthttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2515-7620/acf81b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Apollo arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04120582v2/documenthttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2515-7620/acf81b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Report , Preprint 2023 United StatesPublisher:Purdue Funded by:NSF | HDR Institute: HARP- Harn..., NSF | EAGER: Spatiotemporal Big..., NSF | III: Medium: Investigatin... +1 projectsNSF| HDR Institute: HARP- Harnessing Data and Model Revolution in the Polar Regions ,NSF| EAGER: Spatiotemporal Big Data Analysis to Understand COVID-19 Effects ,NSF| III: Medium: Investigating Spatial-Temporal Informatics for Transportation Science ,NSF| BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data RevolutionGhosh, Subhankar; An, Shuai; Sharma, Arun; Gupta, Jayant; Shekhar, Shashi; Subramanian, Aneesh;Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or deep learning to combine different climate projections. Such approaches are inadequate when different regions require different weighting schemes for accurate and reliable sea-level rise predictions. This paper proposes a zonal regression model which addresses spatial variability and model inter-dependency. Experimental results show more reliable predictions using the weights learned via this approach on a regional scale. 6 pages, 5 figures, I-GUIDE 2023 conference
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5703/1288284317665&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5703/1288284317665&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Other literature type , Article 2023 GermanyPublisher:Elsevier BV Mentges, Andrea; Halekotte, Lukas; Schneider, Moritz; Demmer, Tobias; Lichte, Daniel;We present a comprehensive resilience glossary, comprising a set of 91 definitions of resilience-related terms used in the context of critical infrastructures. The definition and use of many of these terms, as well as the term resilience itself, shows an enormous variability in the literature. Therefore, we draw from the diverse pool of published definitions, integrate multiple contrasting views, compare the individual terms, and provide references to adjoining or contesting views, to create a clear resilience terminology. This terminology outlines a specific understanding of resilience which supports the effective assessment and management of the resilience of critical infrastructures. The two central elements of this understanding are that (1) resilience is the ability of a system to deal with the impacts of unspecific and possibly unforeseen disruptive events, and that (2) this ability comprises three pillar capacities whose quality can be extracted from performance curves. Comment: 55 pages, 4 figures
arXiv.org e-Print Ar... arrow_drop_down International Journal of Disaster Risk ReductionArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijdrr.2023.103893&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down International Journal of Disaster Risk ReductionArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.ijdrr.2023.103893&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023Publisher:MDPI AG Funded by:UKRI | Industrial CASE Account -...UKRI| Industrial CASE Account - University of Aberdeen 2021Authors: Rebecca Potts; Rick Hackney; Georgios Leontidis;Rebecca Potts; Rick Hackney; Georgios Leontidis;Predicting emissions for gas turbines is critical for monitoring harmful pollutants being released into the atmosphere. In this study, we evaluate the performance of machine learning models for predicting emissions for gas turbines. We compare an existing predictive emissions model, a first principles-based Chemical Kinetics model, against two machine learning models we developed based on SAINT and XGBoost, to demonstrate improved predictive performance of nitrogen oxides (NOx) and carbon monoxide (CO) using machine learning techniques. Our analysis utilises a Siemens Energy gas turbine test bed tabular dataset to train and validate the machine learning models. Additionally, we explore the trade-off between incorporating more features to enhance the model complexity, and the resulting presence of increased missing values in the dataset. 23 pages, 9 figures, 1 appendix
Machine Learning and... arrow_drop_down Machine Learning and Knowledge ExtractionOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2504-4990/5/3/55/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/make5030055&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Machine Learning and... arrow_drop_down Machine Learning and Knowledge ExtractionOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2504-4990/5/3/55/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/make5030055&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 FrancePublisher:Springer Science and Business Media LLC Funded by:EC | QBH Structure, NSF | Fundamental Interactions ...EC| QBH Structure ,NSF| Fundamental Interactions and CosmologyAuthors: Pierre Heidmann; Anthony Houppe;Pierre Heidmann; Anthony Houppe;We construct large families of supergravity solutions that are asymptotic to AdS$_2$ and terminate with a cap that is singular in two dimensions but smooth in higher dimensions. These solutions break supersymmetry and conformal invariance. We list arguments suggesting that they correspond to finite-energy excitations in empty AdS$_2$ that back-react on the geometry by inducing non-trivial bubbling topology. They are constructed from the novel technique associated with the Ernst formalism for AdS$_D\times\mathcal{C}$ solitons in supergravity \cite{Bah:2022pdn}. The technique is applied to $D=2$ in M-theory with $\mathcal{C}=\,$S$^3\times$T$^6$. The directions of $\mathcal{C}$ degenerate smoothly as a chain of bolts which ends the spacetime in the IR and generates non-supersymmetric bubbles supported by M2-brane flux. Some specific solutions have ``flat'' directions where the sizes of their bubbles are totally unconstrained and can be arbitrarily tuned while the asymptotics remains fixed. The solitons should correspond to regular non-supersymmetric states of a holographically dual CFT$_1$. Comment: 46 pages, 15 figures, 3 appendices. v2 published version: minor corrections + section about energy of the solutions. arXiv admin note: text overlap with arXiv:2210.06483
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteHyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep07(2023)186&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteHyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep07(2023)186&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2023 GermanyPublisher:EDP Sciences Baumeister, Philipp; Tosi, Nicola; Brachmann, Caroline; Grenfell, John Lee; MacKenzie, Jasmine;A major goal in the search for extraterrestrial life is the detection of liquid water on the surface of exoplanets. On terrestrial planets, volcanic outgassing is a significant source of atmospheric and surface water and a major contributor to the long-term evolution of the atmosphere. The rate of volcanism depends on the interior evolution and on numerous feedback processes between atmosphere and interior, which continuously shape atmospheric composition, pressure, and temperature. We present the results of a comprehensive 1D model of the coupled evolution of the interior and atmosphere of rocky exoplanets that combines central feedback processes between these two reservoirs. We carried out more than \num{280000} simulations over a wide range of mantle redox states and volatile content, planetary masses, interior structures and orbital distances in order to robustly assess the emergence, accumulation and preservation of surface water on rocky planets. To establish a conservative baseline of which types of planets can outgas and sustain water on their surface, we focus here on stagnant-lid planets. We find that only a narrow range of the mantle redox state around the iron-w\"ustite buffer allows the formation of atmospheres that lead to long-term habitable conditions. At oxidizing conditions similar to those of the Earth's mantle, most stagnant-lid planets end up in a hothouse regime akin to Venus due to strong \ce{CO2} outgassing. At more reducing conditions, the amount of outgassed greenhouse gases is often too low to keep surface water from freezing. In addition, Mercury-like planets with large metallic cores are able to sustain habitable conditions at an extended range of orbital distances as a result of lower volcanic activity. Comment: 23 pages, 18 figures, accepted for publication in Astronomy & Astrophysics
Refubium - Repositor... arrow_drop_down Refubium - Repositorium der Freien Universität BerlinOther literature type . 2023License: CC BYData sources: Refubium - Repositorium der Freien Universität Berlinhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/0004-6361/202245791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Refubium - Repositor... arrow_drop_down Refubium - Repositorium der Freien Universität BerlinOther literature type . 2023License: CC BYData sources: Refubium - Repositorium der Freien Universität Berlinhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1051/0004-6361/202245791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2023 France, SpainPublisher:Springer Science and Business Media LLC Authors: Castellano Mora, Alberto; Herráez Escudero, Alvaro; Ibañez Santiago, Luis Enrique;Castellano Mora, Alberto; Herráez Escudero, Alvaro; Ibañez Santiago, Luis Enrique;handle: 10486/708553
In the Emergence Proposal in QG it is conjectured that all light-particle kinetic terms are absent in the fundamental UV theory and are generated by quantum corrections in the IR. It has been argued that this may provide for some microscopic understanding of the WGC and SDC. In the present paper we take the first steps towards a systematic study of Emergence in the context of string theory. We emphasize the crucial role of the species scale in any EFT coupled to gravity, and discuss its computation in string theory and general systems with light towers of states. We then introduce the notion of Emergence and show how kinetic terms for moduli, gauge bosons and fermions may be generated. One-loop computations play an important role in Emergence, so we present detailed calculations in $d$ spacetime dimensions for the wave-function renormalization of scalars, vectors and fermions. We extend and check the Emergence Proposal in a number string vacua, including 4d $\mathcal{N}=2$ theories arising from type IIA on a CY$_3$, where the towers at strong coupling are comprised by D0 and (wrapped) D2-branes, and also elaborate on how instanton corrections would fit within the emergence picture. Higher dimensional examples are also discussed, including 6d and 7d models arising from F-/M-theory on an elliptic CY$_3$ or a $K3$ surface. We also consider 10d string theories and study in some detail the emergence mechanism in type IIA. We show as well how the flux potential in 4d may be obtained from the emergence prescription, by analyzing the corresponding decompactification limits to M-theory. We find that the required kinetic terms for the dual 3-form fields can arise upon integrating out towers of massive gravitini (and bosonic superpartners). Our analysis renders support to the Emergence Proposal, and to the idea that infinite distance singularities may arise in QG as an intrinsic IR phenomenon. Comment: v2: minor changes and typos corrected. 79 pages + Appendices, 11 figures, 8 tables
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Full-Text: https://doi.org/10.1007/JHEP06(2023)047Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL Descartes; Hyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023Full-Text: https://hal.science/hal-03920021/documenthttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep06(2023)047&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Full-Text: https://doi.org/10.1007/JHEP06(2023)047Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL Descartes; Hyper Article en Ligne; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAOther literature type . Article . 2023Full-Text: https://hal.science/hal-03920021/documenthttps://doi.org/10.48550/arxiv...Article . 2022License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/jhep06(2023)047&type=result"></script>'); --> </script>
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