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description Publicationkeyboard_double_arrow_right Conference object 2023 Italy, SpainPublisher:SPIE Funded by:EC | ACTRIS, EC | ACTRIS PPP, EC | ACTRIS IMPEC| ACTRIS ,EC| ACTRIS PPP ,EC| ACTRIS IMPLolli, Simone; Sicard, Michaël; Comerón Tejero, Adolfo; Gil Díaz, Cristina; Oliveira, Daniel Camilo Fortunato dos Santos; Landi, Tony C.; Rodríguez Gómez, Alejandro Antonio; Muñoz Porcar, Constantino; Rocadenbosch Burillo, Francisco; Dios Otín, Víctor Federico;doi: 10.1117/12.2685167
handle: 2117/396190
This work has been made possible through the efforts of many people, whom it would be too long to mention, and the funding of many grants through the years, in particular European projects of different framework programmes (FP5 EARLINET project (ID EVR1-CT-1999-40003), FP6 EARLINET-ASOS (ID: 25991), FP7 ACTRIS (ID: 262254), H2020 ACTRIS-2 (ID: 654109), ACTRIS-PPP (ID: 739530), ACTRIS IMP (ID: 871115) and ATMO-ACCESS (ID: 101008004)), projects of the Spanish National Research Programmes (refs. TIC 431/93, AMB96-1144-C02-01, REN2000-1907-CE, REN2000-1754-C02-02 / CLI, REN2003-09753-C02-C02 / CLI, REN2003-09753-C02-C CGL2008- 01330-E/CLI 02 / CLI, REN2002-12784-E, CGL2005-5131-E, CGL2006-27108-E/CLI, CGL2006-26149-E/CLI, CGL2007-28871-/CLI, CTM2006-27154-E/TECNO, TEC2006-07850/TCM, TEC2009-09106, TEC2012-34575, TEC2015-63832-P and PID2019-103886RB-I00), the project of the Catalan Regional Government IMMPACTE, and the ESA project No. nº 21487/08/NL/HE. The support of the European Union through NextGenerationEU funds is also gratefully acknowledged. Aerosols are significant atmospheric constituents that modulate radiation and cloud processes. We evaluated 17-year aerosol profile trends in Barcelona, Spain, from lidar measurements. In summer aerosol reaches 5 km, while in the other seasons it exhibits clear exponential decay. Sahara dust transport affects all seasons, with winter layers above and others penetrating the boundary layer. This study informs the formation of haze and urban preservation strategies in the Mediterranean. The analysis puts in evidence that the averaged net radiative effect is of cooling at both surface level and top of the atmosphere. Peer Reviewed
UPCommons. Portal de... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCConference object . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCUPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert UPCommons. Portal de... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCConference object . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCUPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023 Italy EnglishPublisher:Zenodo Funded by:EC | RESONANCESEC| RESONANCESElisabetta Canepa; Zakaria Djebbara; Kutay Güler; Luca Andrighetto; Irene Schiavetti; Andrea Jelic; Bob Condia;We studied atmosphere as a priming condition for our spatial experiences. The priming potential of atmospheres is a deep-rooted intuition among designers, and we wished to consolidate evidence through a physiological signal-based experiment. Our ANFA presentation illustrated the general theoretical framework, the tested protocol, and the gathered results. This experimental paradigm proposed a strategy to study, locate, and measure atmospheres, namely the dimension of the ineffable par excellence for our architectural experiences. This abstract was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this document reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
ZENODO arrow_drop_down Archivio istituzionale della ricerca - Università di GenovaConference object . 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 19visibility views 19 download downloads 14 Powered bymore_vert ZENODO arrow_drop_down Archivio istituzionale della ricerca - Università di GenovaConference object . 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=10.5281/zenodo.8373551&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Preprint , Article 2023 GermanyPublisher:Sissa Medialab Funded by:EC | INFIERI, EC | CTA-DEV, EC | CTA-PP +1 projectsEC| INFIERI ,EC| CTA-DEV ,EC| CTA-PP ,EC| ESCAPEAbe, Kazuki; Abe, Shotaro; Aguasca-Cabot, Arnau; Agudo, Ivan; Alvarez Crespo, Nuria; Antonelli, Lucio Angelo; Aramo, Carla; Arbet-Engels, Axel; Arcaro, Cornelia; Artero, Manuel; Asano, Katsuaki; Aubert, Pierre; Baktash, Ali; Bamba, Aya; Baquero Larriva, Andres; Baroncelli, Leonardo; Barres de Almeida, Ulisses; Barrio, Juan Abel; Batković, Ivana; Baxter, Joshua Ryo; Becerra González, Josefa; Bernardini, Elisa; Bernardos, Mabel; Bernete Medrano, Juan; Berti, Alessio; Bhattacharjee, Pooja; Biederbeck, Noah; Bigongiari, Ciro; Bissaldi, Elisabetta; Blanch, Oscar; Bonnoli, Giacomo; Bordas, Pol; Bulgarelli, Andrea; Burelli, Irene; Burmistrov, Leonid; Buscemi, Mario; Cardillo, Martina; Caroff, Sami; Carosi, Alessandro; Carrasco, Marie-Sophie; Cassol, Franca; Cauz, Diego; Cerasole, Davide; Ceribella, Giovanni; Chai, Yating; Cheng, Ks; Chiavassa, Andrea; Chikawa, Michiyuki; Chytka, Ladislav; Cifuentes, Alejo; Contreras, Jose Luis; Cortina, Juan; Costantini, Heide; Dalchenko, Mykhailo; Dazzi, Francesco; De Angelis, Alessandro; de Bony de Lavergne, Mathieu; De Lotto, Barbara; de Lucia, Mario; de Menezes, Raniere; Del Peral, Luis; Deleglise, Guillaume; Delgado, Carlos; Delgado Mengual, Jordi; Della Volpe, Domenico; Dellaiera, Michael; Di Piano, Ambra; Di Pierro, Federico; Di pilato, Antonio; Di Tria, Riccardo; Di Venere, Leonardo; Díaz, Carlos; Dominik, Rune Michael; Dominis Prester, Dijana; Donini, Alice; Dorner, Daniela; Doro, Michele; Eisenberger, Laura; Elsässer, Dominik; Emery, Gabriel; Escudero, Juan; Fallah Ramazani, Vandad; Ferrara, Giovanna; Ferrarotto, Fabio; Fiasson, Armand; Foffano, Luca; Freixas Coromina, Lluis; Fröse, Stefan; Fukami, Satoshi; Fukazawa, Yasushi; Garcia, Enrique; Garcia López, Ramon; Gasbarra, Claudio; Gasparrini, Dario; Geyer, Felix; Giesbrecht Paiva, Joao; Giglietto, Nicola; Giordano, Francesco; Gliwny, Pawel; Godinović, Nikola; Grau Haro, Roger; Green, Jarred Gershon; Green, David; Gunji, Shuichi; Günther, Patrick; Hackfeld, Jonas; Hadasch, Daniela; Hahn, Alexander; Hashiyama, Kazuaki; Hassan, Tarek; Hayashi, Kohei; Heckmann, Lea; Heller, Matthieu; Herrera Llorente, Javier; Hirotani, Kouichi; Hoffmann, Dirk; Horns, Dieter; Houles, Julien; Hrabovsky, Miroslav; Hrupec, Dario; Hui, David; Hütten, Moritz; Iarlori, Marco; Imazawa, Ryo; Inada, Tomohiro; Inome, Yusuke; Ioka, Kunihito; Iori, Maurizio; Ishio, Kazuma; Jiménez Martínez, Irene; Jurysek, Jakub; Kagaya, Mika; Karas, Vladimir; Katagiri, Hideaki; Kataoka, Jun; Kerszberg, Daniel; Kobayashi, Yukiho; Kohri, Kazunori; Kong, Albert; Kubo, Hidetoshi; Kushida, Junko; Lainez, Maria; Lamanna, Giovanni; Lamastra, Alessandra; Le Flour, Thierry; Linhoff, Maximilian; Longo, Francesco; López-Coto, Rubén; López-Oramas, Alicia; Loporchio, Serena; Lorini, Andrea; Lozano Bahilo, Julio; Luque-Escamilla, Pedro L.; Majumdar, Pratik; MAKARIEV, Martin; Mandat, Dusan; Manganaro, Marina; Manicò, Giulio; Mannheim, Karl; Mariotti, Mosè; Marquez, Patricia; Marsella, Giovanni; Martí, Josep; Martinez, Oibar; Martínez, Gustavo; Martínez, Manel; Mas-Aguilar, Alvaro; Maurin, Gilles; Mazin, Daniel; Mestre Guillen, Enrique; Mićanović, Saša; Miceli, Davide; Miener, Tjark; Miranda, Jose Miguel; Mirzoyan, Razmik; Mizuno, Tsunefumi; Molero Gonzalez, Miguel; Molina, Edgar; Montaruli, Teresa; Monteiro, Inocencio; Moralejo, Abelardo; Morcuende, Daniel; Morselli, Aldo; Moya, Victor; Muraishi, Hiroshi; Murase, Kohta; Nagataki, Shigehiro; Nakamori, Takeshi; Neronov, Andrii; Nickel, Lukas; Nievas Rosillo, Mireia; Nishijima, Kyoshi; Noda, Koji; Nosek, Dalibor; Nozaki, Seiya; Ohishi, Michiko; Ohtani, Yoshiki; Oka, Tomohiko; Okumura, Akira; Orito, Reiko; Priyadarshi, Chaitanya; Strišković, Jelena; Suda, Yusuke; VAZQUEZ ACOSTA, Monica; Gueta, Orel; Maier, Gernot;The next-generation ground-based gamma-ray Cherenkov Telescope Array Observatory (CTAO) will consist of imaging atmospheric Cherenkov telescopes (IACTs) of three different sizes distributed in two sites. The Large-Sized Telescopes will cover the low-energy end of the CTA energy range, starting at about 20 GeV. After its first years of operation at the CTA northern site, the Large-Sized Telescope prototype (LST-1) is in the final stage of its commissioning phase, having collected a significant amount of scientific data to date.In this contribution, we present the physics performance of the telescope using low-zenith Crab Nebula observations and Monte Carlo simulations fine-tuned accordingly. We show performance figures of merit such as the energy threshold, effective area, energy and angular resolution, and sensitivity based on the standard Hillas-parameters approach and following the source-independent and dependent analysis methods. The analysis threshold is estimated at 30 GeV. The energy resolution is around 30%, and the angular resolution is 0.3 degrees at 100 GeV.The best integral sensitivity of LST-1 is about 1.1% of the Crab Nebula flux above 250 GeV for 50 hours of observations. We also show the spectral energy distribution and light curve from Crab Nebula observations, which agree with results from other IACTs and link smoothly with Fermi-LAT when considering statistical and systematic uncertainties near the energy threshold. 38th International Cosmic Ray Conference, ICRC2023, Nagoya, Japan, 26 Jul 2023 - 3 Aug 2023; Proceedings of Science / International School for Advanced Studies (ICRC2023), 594 (2023). doi:10.22323/1.444.0594 Published by SISSA, Trieste
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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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=10.22323/1.444.0594&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 FrancePublisher:Sissa Medialab Funded by:EC | ChETEC-INFRA, ANR | UnivEarthS, ANR | Université de ParisEC| ChETEC-INFRA ,ANR| UnivEarthS ,ANR| Université de ParisCerisy, L; Pedrajas, A.L.; Lastoria, C; Perrin-Terrin, M; Brunner, J; Dabhi, V;doi: 10.22323/1.444.1191
International audience; One of the main goals of KM3NeT/ORCA is to measure atmospheric neutrino oscillation parameters with competitive precision. To achieve this goal, good discrimination between track-like and shower-like events is necessary, with particular focus on the measurement of the tau neutrino normalisation. The track-like signal is mainly carried by muon neutrinos from charged current interactions, while the shower-like signal comes from charged current interactions of electron and tau neutrinos, and neutral current interactions of all flavours. A Random Grid Search algorithm is optimised to separate these channels and its performance is compared with machine learning methods using boosted decision trees. This contribution will report on the technical aspects of the algorithm and the performance of the particle identification with data recorded in 2020 and 2021 using an early six-lines configuration of the ORCA detector (ORCA6).
HAL AMU; Mémoires en... arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NC NDFull-Text: https://hal.science/hal-04186231/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert HAL AMU; Mémoires en... arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NC NDFull-Text: https://hal.science/hal-04186231/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=10.22323/1.444.1191&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023 BelgiumPublisher:American Chemical Society (ACS) Funded by:EC | NORTHEC| NORTHLaurens Bourda; Anna M. Kaczmarek; Min Peng; Sonali Mohanty; Hannes Rijckaert; Pascal Van Der Voort; Kristof Van Hecke;In this study, we report hybrid crystalline lanthanide-containing 3D covalent organic framework (Ln@3D COF) materials that are suitablefor temperature sensing applications. Different routes to obtain thesehybrid materials were tested and compared for material quality andthermometric properties. In the first approach, a bipyridine-containing3D COF (Bipy COF) was grafted with a range of visible emitting lanthanide(Eu3+, Tb3+, Dy3+, and Eu3+/Tb3+) & beta;-diketonate complexes. In the second approach,a novel nanocomposite material was prepared by embedding NaYF4:Er,Yb nanoparticles on the surface of a nonfunctionalized3D COF (COF-300). To the best of our knowledge, the luminescent materialsdeveloped here are the first 3D COFs to be tested as ratiometric temperaturesensors. In fact, for the Bipy COF, two different types of thermometerswere tested (the Eu3+/Tb3+ system and a rareDy(3+) system), with both showing excellent temperature sensing properties. The reported NaYF4:Er,Yb/COF-300 nanocompositematerial combines upconverting nanoparticles with 3D COFs, similarto previously reported metal organic framework (MOF) nanocompositematerials; however, this type of hybrid material has not yet beenexplored for COFs. As such, our findings open a new pathway towardpotential multifunctional materials that can combine thermometry withother modalities, such as catalysis or drug delivery, in just onenanocomposite material.
Ghent University Aca... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic BibliographyACS Applied Materials & InterfacesArticle . 2023 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic Bibliographyadd 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=10.1021/acsami.3c07544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Ghent University Aca... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic BibliographyACS Applied Materials & InterfacesArticle . 2023 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic Bibliographyadd 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=10.1021/acsami.3c07544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Other literature type 2023 FrancePublisher:MDPI AG Funded by:EC | ENUBETEC| ENUBETFrancesco Terranova; F. Acerbi; I. Angelis; L. Bomben; M. Bonesini; F. Bramati; A. Branca; C. Brizzolari; G. Brunetti; S. Capelli; S. Carturan; M. G. Catanesi; S. Cecchini; F. Cindolo; G. Cogo; G. Collazuol; F. Dal Corso; C. Delogu; G. De Rosa; A. Falcone; A. Gola; L. Halić; F. Iacob; C. Jollet; A. Kallitsopoulou; B. Klicek; Y. Kudenko; Ch. Lampoudis; M. Laveder; P. Legou; A. Longhin; L. Ludovici; E. Lutsenko; L. Magaletti; G. Mandrioli; A. Margotti; V. Mascagna; S. Marangoni; N. Mauri; L. Meazza; A. Meregaglia; M. Mezzetto; A. Paoloni; T. Papaevangelou; M. Pari; E. G. Parozzi; L. Pasqualini; G. Paternoster; L. Patrizii; M. Pozzato; M. Prest; F. Pupilli; E. Radicioni; A. C. Ruggeri; D. Sampsonidis; C. Scian; G. Sirri; M. Stipcevic; M. Tenti; M. Torti; S. E. Tzamarias; E. Vallazza; L. Votano;International audience; Monitored neutrino beams are facilities where beam diagnostics enable the counting and identification of charged leptons in the decay tunnel of a narrow band beam. These facilities can monitor neutrino production at the single particle level (flux precision %) and provide information about the neutrino energy at the 10% level. The ENUBET Collaboration has demonstrated that lepton monitoring might be achieved not only by employing kaon decays but also by identifying muons from the decays and positrons from the decay-in-flight of muons before the hadron dump. As a consequence, beam monitoring can be performed using the ENUBET technique even when the kaon production yield is kinematically suppressed. This finding opens up a wealth of opportunities for measuring neutrino cross-sections below 1 GeV. In this paper, we investigate this opportunity at the European Spallation Source (ESS), which is an ideal facility to measure and cross-sections in the 0.2–1 GeV range. We also describe the planned activities for the design of this beam at the ESS within the framework of the ESSSB+ design study, which was approved by the EU in July 2022.
CERN Document Server arrow_drop_down https://doi.org/10.3390/psf202...Conference object . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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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/psf2023008024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CERN Document Server arrow_drop_down https://doi.org/10.3390/psf202...Conference object . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2022add 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/psf2023008024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023Publisher:Sissa Medialab Funded by:EC | ChETEC-INFRA, ANR | UnivEarthS, ANR | Université de ParisEC| ChETEC-INFRA ,ANR| UnivEarthS ,ANR| Université de ParisAuthors: Bailly-Salins, Louis;Bailly-Salins, Louis;doi: 10.22323/1.444.0203
International audience; The KM3NeT collaboration operates two water Cherenkov neutrino telescopes in the Mediterranean sea, ORCA and ARCA. The flux of atmospheric muons produced in cosmic ray air showers forms a background to the main objectives of KM3NeT/ORCA and KM3NeT/ARCA, respectively measuring atmospheric neutrino oscillations and detecting neutrinos from astrophysical sources. A small portion of the atmospheric muons stops inside the detector’s instrumented volume. The stopping muons are 5% of the muons reconstructed using the 6 first strings deployed for ORCA. This still amounts to 1000 events per hour. We present two methods for selecting them, applied on both simulations and data. The first method uses simple cuts on a set of reconstructed variables. The second method uses a machine learning model to classify muons as “stopping” or “crossing”. Both methods allow to reach a high selection purity, close to 95%. Detecting stopping muons can serve many purposes like studying muon decay via the detection of Michel electrons or estimating the flux of atmospheric muons at sea level. This work highlights the accurate reconstruction capabilities of ORCA. The median error on the reconstructed stopping point of selected muons is less than 5 meters, and the median angular deviation is 1° . This is to be compared with the 20 meters horizontal distance between strings and the 9 meters vertical distance between optical modules. Another important result is the excellent agreement between distribution of stopping muons selected in data and in simulations.}
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 FrancePublisher:Sissa Medialab Funded by:EC | ChETEC-INFRA, ANR | UnivEarthS, ANR | Université de ParisEC| ChETEC-INFRA ,ANR| UnivEarthS ,ANR| Université de ParisAuthors: Peña Martínez, Santiago;Peña Martínez, Santiago;doi: 10.22323/1.444.1035
International audience; KM3NeT/ORCA is a large-volume water-Cherenkov neutrino detector, currently under construction at the bottom of the Mediterranean Sea at a depth of 2450 meters. The main research goal ofORCA is the measurement of the neutrino mass ordering and the atmospheric neutrino oscillationparameters. Additionally, the detector is also sensitive to a wide variety of phenomena includingnon-standard neutrino interactions, sterile neutrinos, and neutrino decay.This contribution describes the use of a machine learning framework for building Deep NeuralNetworks (DNN) which combine multiple energy estimates to generate a more precise reconstructed neutrino energy. The model is optimized to improve the oscillation analysis based ona data sample of 433 kton-years of KM3NeT/ORCA with 6 detection units. The performanceof the model is evaluated by determining the sensitivity to oscillation parameters in comparisonwith the standard energy reconstruction method of maximizing a likelihood function. The resultsshow that the DNN is able to provide a better energy estimate with lower bias in the context ofoscillation analyses.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023Publisher:ACM Funded by:EC | TECNIOspringINDUSTRY, EC | EarlyCareEC| TECNIOspringINDUSTRY ,EC| EarlyCareAuthors: Escalona, Sergio; Alfaras, Miquel; Hernando Salvador, Rosana; Lores Obradors, Luis; +1 AuthorsEscalona, Sergio; Alfaras, Miquel; Hernando Salvador, Rosana; Lores Obradors, Luis; Haddi, Zouhair;Scientific literature has consistently identified links between bad air quality and the worsening of bronchial asthma symptomatology. To keep track of it individually, recent technology advances point to the potential benefits of using Internet of Medical Things technologies for the monitoring of respiratory health conditions. This paper describes an eHealth Monitoring Ecosystem developed for bronchial asthmatic supervision with the purpose of promoting patients' wellbeing, air quality awareness and potential links between symptoms and individual exposure to pollutants. Physiology and air quality data will be collected by means of wearable devices, facilitating an individualized assessment during a piloting phase that includes clinical supervision. This ecosystem is designed to include user-friendly interfaces for both patients and healthcare professionals which will ultimately serve to better understand the individualized clinical case of an asthmatic patient, especially sensitive to air pollution given the existing health condition.
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For further information contact us at helpdesk@openaire.eu0 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023 EnglishPublisher:Zenodo Funded by:EC | D^2EPCEC| D^2EPCSeduikyte, Lina; Thanos Kalamaris; Phoebe-Zoe Georgali; Konatzii, Panagiota; Chatzipanagiotidou, Panagiota; Katsaros, Nikolaos; Koltsios Stavros; Ioannidis, Dimosthenis; Stasiulienė, Laura; Spūdys, Paulius; Jurelionis, Andrius; Fokaides, Paris;The building sector constitutes the major energy-intensive domain, with 40% of Europe’s final energy demand. Despite the increased energy consumption in buildings, there is no sufficient information about the quality of indoor environmental conditions they offer to the occupants. Indoor environmental conditions play a major role in the quality of life, yet the quality assessment is not well-known to the general public. Recent developments in the Internet of Things (IoT) domain can help in the evaluation of indoor conditions and lead the building sector into the Industry 4.0 era. Moreover, the introduction of new key performance indicators can raise the awareness of relevant stakeholders and lead to more energy-efficient homes providing enhanced human comfort conditions. This study aimed to identify human comfort and well-being key performance indicators which could be included in the next-generation energy performance certificates and extract insights on the occupants’ comfort in the two pilot buildings with the minimum available information via a non-intrusive (to the occupants) procedure. The proposed set of human comfort and well-being indicators deals with the aspects of thermal comfort, visual comfort and indoor air quality. Only quantitative key performance indicators were considered within the study, as their calculation is based on acquired data from the pilots’ IoT infrastructure.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 11 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Conference object 2023 Italy, SpainPublisher:SPIE Funded by:EC | ACTRIS, EC | ACTRIS PPP, EC | ACTRIS IMPEC| ACTRIS ,EC| ACTRIS PPP ,EC| ACTRIS IMPLolli, Simone; Sicard, Michaël; Comerón Tejero, Adolfo; Gil Díaz, Cristina; Oliveira, Daniel Camilo Fortunato dos Santos; Landi, Tony C.; Rodríguez Gómez, Alejandro Antonio; Muñoz Porcar, Constantino; Rocadenbosch Burillo, Francisco; Dios Otín, Víctor Federico;doi: 10.1117/12.2685167
handle: 2117/396190
This work has been made possible through the efforts of many people, whom it would be too long to mention, and the funding of many grants through the years, in particular European projects of different framework programmes (FP5 EARLINET project (ID EVR1-CT-1999-40003), FP6 EARLINET-ASOS (ID: 25991), FP7 ACTRIS (ID: 262254), H2020 ACTRIS-2 (ID: 654109), ACTRIS-PPP (ID: 739530), ACTRIS IMP (ID: 871115) and ATMO-ACCESS (ID: 101008004)), projects of the Spanish National Research Programmes (refs. TIC 431/93, AMB96-1144-C02-01, REN2000-1907-CE, REN2000-1754-C02-02 / CLI, REN2003-09753-C02-C02 / CLI, REN2003-09753-C02-C CGL2008- 01330-E/CLI 02 / CLI, REN2002-12784-E, CGL2005-5131-E, CGL2006-27108-E/CLI, CGL2006-26149-E/CLI, CGL2007-28871-/CLI, CTM2006-27154-E/TECNO, TEC2006-07850/TCM, TEC2009-09106, TEC2012-34575, TEC2015-63832-P and PID2019-103886RB-I00), the project of the Catalan Regional Government IMMPACTE, and the ESA project No. nº 21487/08/NL/HE. The support of the European Union through NextGenerationEU funds is also gratefully acknowledged. Aerosols are significant atmospheric constituents that modulate radiation and cloud processes. We evaluated 17-year aerosol profile trends in Barcelona, Spain, from lidar measurements. In summer aerosol reaches 5 km, while in the other seasons it exhibits clear exponential decay. Sahara dust transport affects all seasons, with winter layers above and others penetrating the boundary layer. This study informs the formation of haze and urban preservation strategies in the Mediterranean. The analysis puts in evidence that the averaged net radiative effect is of cooling at both surface level and top of the atmosphere. Peer Reviewed
UPCommons. Portal de... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCConference object . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCUPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert UPCommons. Portal de... arrow_drop_down UPCommons. Portal del coneixement obert de la UPCConference object . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCUPCommons. Portal del coneixement obert de la UPCOther literature type . Conference object . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023 Italy EnglishPublisher:Zenodo Funded by:EC | RESONANCESEC| RESONANCESElisabetta Canepa; Zakaria Djebbara; Kutay Güler; Luca Andrighetto; Irene Schiavetti; Andrea Jelic; Bob Condia;We studied atmosphere as a priming condition for our spatial experiences. The priming potential of atmospheres is a deep-rooted intuition among designers, and we wished to consolidate evidence through a physiological signal-based experiment. Our ANFA presentation illustrated the general theoretical framework, the tested protocol, and the gathered results. This experimental paradigm proposed a strategy to study, locate, and measure atmospheres, namely the dimension of the ineffable par excellence for our architectural experiences. This abstract was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this document reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
ZENODO arrow_drop_down Archivio istituzionale della ricerca - Università di GenovaConference object . 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=10.5281/zenodo.8373551&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!visibility 19visibility views 19 download downloads 14 Powered bymore_vert ZENODO arrow_drop_down Archivio istituzionale della ricerca - Università di GenovaConference object . 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Preprint , Article 2023 GermanyPublisher:Sissa Medialab Funded by:EC | INFIERI, EC | CTA-DEV, EC | CTA-PP +1 projectsEC| INFIERI ,EC| CTA-DEV ,EC| CTA-PP ,EC| ESCAPEAbe, Kazuki; Abe, Shotaro; Aguasca-Cabot, Arnau; Agudo, Ivan; Alvarez Crespo, Nuria; Antonelli, Lucio Angelo; Aramo, Carla; Arbet-Engels, Axel; Arcaro, Cornelia; Artero, Manuel; Asano, Katsuaki; Aubert, Pierre; Baktash, Ali; Bamba, Aya; Baquero Larriva, Andres; Baroncelli, Leonardo; Barres de Almeida, Ulisses; Barrio, Juan Abel; Batković, Ivana; Baxter, Joshua Ryo; Becerra González, Josefa; Bernardini, Elisa; Bernardos, Mabel; Bernete Medrano, Juan; Berti, Alessio; Bhattacharjee, Pooja; Biederbeck, Noah; Bigongiari, Ciro; Bissaldi, Elisabetta; Blanch, Oscar; Bonnoli, Giacomo; Bordas, Pol; Bulgarelli, Andrea; Burelli, Irene; Burmistrov, Leonid; Buscemi, Mario; Cardillo, Martina; Caroff, Sami; Carosi, Alessandro; Carrasco, Marie-Sophie; Cassol, Franca; Cauz, Diego; Cerasole, Davide; Ceribella, Giovanni; Chai, Yating; Cheng, Ks; Chiavassa, Andrea; Chikawa, Michiyuki; Chytka, Ladislav; Cifuentes, Alejo; Contreras, Jose Luis; Cortina, Juan; Costantini, Heide; Dalchenko, Mykhailo; Dazzi, Francesco; De Angelis, Alessandro; de Bony de Lavergne, Mathieu; De Lotto, Barbara; de Lucia, Mario; de Menezes, Raniere; Del Peral, Luis; Deleglise, Guillaume; Delgado, Carlos; Delgado Mengual, Jordi; Della Volpe, Domenico; Dellaiera, Michael; Di Piano, Ambra; Di Pierro, Federico; Di pilato, Antonio; Di Tria, Riccardo; Di Venere, Leonardo; Díaz, Carlos; Dominik, Rune Michael; Dominis Prester, Dijana; Donini, Alice; Dorner, Daniela; Doro, Michele; Eisenberger, Laura; Elsässer, Dominik; Emery, Gabriel; Escudero, Juan; Fallah Ramazani, Vandad; Ferrara, Giovanna; Ferrarotto, Fabio; Fiasson, Armand; Foffano, Luca; Freixas Coromina, Lluis; Fröse, Stefan; Fukami, Satoshi; Fukazawa, Yasushi; Garcia, Enrique; Garcia López, Ramon; Gasbarra, Claudio; Gasparrini, Dario; Geyer, Felix; Giesbrecht Paiva, Joao; Giglietto, Nicola; Giordano, Francesco; Gliwny, Pawel; Godinović, Nikola; Grau Haro, Roger; Green, Jarred Gershon; Green, David; Gunji, Shuichi; Günther, Patrick; Hackfeld, Jonas; Hadasch, Daniela; Hahn, Alexander; Hashiyama, Kazuaki; Hassan, Tarek; Hayashi, Kohei; Heckmann, Lea; Heller, Matthieu; Herrera Llorente, Javier; Hirotani, Kouichi; Hoffmann, Dirk; Horns, Dieter; Houles, Julien; Hrabovsky, Miroslav; Hrupec, Dario; Hui, David; Hütten, Moritz; Iarlori, Marco; Imazawa, Ryo; Inada, Tomohiro; Inome, Yusuke; Ioka, Kunihito; Iori, Maurizio; Ishio, Kazuma; Jiménez Martínez, Irene; Jurysek, Jakub; Kagaya, Mika; Karas, Vladimir; Katagiri, Hideaki; Kataoka, Jun; Kerszberg, Daniel; Kobayashi, Yukiho; Kohri, Kazunori; Kong, Albert; Kubo, Hidetoshi; Kushida, Junko; Lainez, Maria; Lamanna, Giovanni; Lamastra, Alessandra; Le Flour, Thierry; Linhoff, Maximilian; Longo, Francesco; López-Coto, Rubén; López-Oramas, Alicia; Loporchio, Serena; Lorini, Andrea; Lozano Bahilo, Julio; Luque-Escamilla, Pedro L.; Majumdar, Pratik; MAKARIEV, Martin; Mandat, Dusan; Manganaro, Marina; Manicò, Giulio; Mannheim, Karl; Mariotti, Mosè; Marquez, Patricia; Marsella, Giovanni; Martí, Josep; Martinez, Oibar; Martínez, Gustavo; Martínez, Manel; Mas-Aguilar, Alvaro; Maurin, Gilles; Mazin, Daniel; Mestre Guillen, Enrique; Mićanović, Saša; Miceli, Davide; Miener, Tjark; Miranda, Jose Miguel; Mirzoyan, Razmik; Mizuno, Tsunefumi; Molero Gonzalez, Miguel; Molina, Edgar; Montaruli, Teresa; Monteiro, Inocencio; Moralejo, Abelardo; Morcuende, Daniel; Morselli, Aldo; Moya, Victor; Muraishi, Hiroshi; Murase, Kohta; Nagataki, Shigehiro; Nakamori, Takeshi; Neronov, Andrii; Nickel, Lukas; Nievas Rosillo, Mireia; Nishijima, Kyoshi; Noda, Koji; Nosek, Dalibor; Nozaki, Seiya; Ohishi, Michiko; Ohtani, Yoshiki; Oka, Tomohiko; Okumura, Akira; Orito, Reiko; Priyadarshi, Chaitanya; Strišković, Jelena; Suda, Yusuke; VAZQUEZ ACOSTA, Monica; Gueta, Orel; Maier, Gernot;The next-generation ground-based gamma-ray Cherenkov Telescope Array Observatory (CTAO) will consist of imaging atmospheric Cherenkov telescopes (IACTs) of three different sizes distributed in two sites. The Large-Sized Telescopes will cover the low-energy end of the CTA energy range, starting at about 20 GeV. After its first years of operation at the CTA northern site, the Large-Sized Telescope prototype (LST-1) is in the final stage of its commissioning phase, having collected a significant amount of scientific data to date.In this contribution, we present the physics performance of the telescope using low-zenith Crab Nebula observations and Monte Carlo simulations fine-tuned accordingly. We show performance figures of merit such as the energy threshold, effective area, energy and angular resolution, and sensitivity based on the standard Hillas-parameters approach and following the source-independent and dependent analysis methods. The analysis threshold is estimated at 30 GeV. The energy resolution is around 30%, and the angular resolution is 0.3 degrees at 100 GeV.The best integral sensitivity of LST-1 is about 1.1% of the Crab Nebula flux above 250 GeV for 50 hours of observations. We also show the spectral energy distribution and light curve from Crab Nebula observations, which agree with results from other IACTs and link smoothly with Fermi-LAT when considering statistical and systematic uncertainties near the energy threshold. 38th International Cosmic Ray Conference, ICRC2023, Nagoya, Japan, 26 Jul 2023 - 3 Aug 2023; Proceedings of Science / International School for Advanced Studies (ICRC2023), 594 (2023). doi:10.22323/1.444.0594 Published by SISSA, Trieste
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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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 FrancePublisher:Sissa Medialab Funded by:EC | ChETEC-INFRA, ANR | UnivEarthS, ANR | Université de ParisEC| ChETEC-INFRA ,ANR| UnivEarthS ,ANR| Université de ParisCerisy, L; Pedrajas, A.L.; Lastoria, C; Perrin-Terrin, M; Brunner, J; Dabhi, V;doi: 10.22323/1.444.1191
International audience; One of the main goals of KM3NeT/ORCA is to measure atmospheric neutrino oscillation parameters with competitive precision. To achieve this goal, good discrimination between track-like and shower-like events is necessary, with particular focus on the measurement of the tau neutrino normalisation. The track-like signal is mainly carried by muon neutrinos from charged current interactions, while the shower-like signal comes from charged current interactions of electron and tau neutrinos, and neutral current interactions of all flavours. A Random Grid Search algorithm is optimised to separate these channels and its performance is compared with machine learning methods using boosted decision trees. This contribution will report on the technical aspects of the algorithm and the performance of the particle identification with data recorded in 2020 and 2021 using an early six-lines configuration of the ORCA detector (ORCA6).
HAL AMU; Mémoires en... arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NC NDFull-Text: https://hal.science/hal-04186231/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert HAL AMU; Mémoires en... arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NC NDFull-Text: https://hal.science/hal-04186231/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=10.22323/1.444.1191&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023 BelgiumPublisher:American Chemical Society (ACS) Funded by:EC | NORTHEC| NORTHLaurens Bourda; Anna M. Kaczmarek; Min Peng; Sonali Mohanty; Hannes Rijckaert; Pascal Van Der Voort; Kristof Van Hecke;In this study, we report hybrid crystalline lanthanide-containing 3D covalent organic framework (Ln@3D COF) materials that are suitablefor temperature sensing applications. Different routes to obtain thesehybrid materials were tested and compared for material quality andthermometric properties. In the first approach, a bipyridine-containing3D COF (Bipy COF) was grafted with a range of visible emitting lanthanide(Eu3+, Tb3+, Dy3+, and Eu3+/Tb3+) & beta;-diketonate complexes. In the second approach,a novel nanocomposite material was prepared by embedding NaYF4:Er,Yb nanoparticles on the surface of a nonfunctionalized3D COF (COF-300). To the best of our knowledge, the luminescent materialsdeveloped here are the first 3D COFs to be tested as ratiometric temperaturesensors. In fact, for the Bipy COF, two different types of thermometerswere tested (the Eu3+/Tb3+ system and a rareDy(3+) system), with both showing excellent temperature sensing properties. The reported NaYF4:Er,Yb/COF-300 nanocompositematerial combines upconverting nanoparticles with 3D COFs, similarto previously reported metal organic framework (MOF) nanocompositematerials; however, this type of hybrid material has not yet beenexplored for COFs. As such, our findings open a new pathway towardpotential multifunctional materials that can combine thermometry withother modalities, such as catalysis or drug delivery, in just onenanocomposite material.
Ghent University Aca... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic BibliographyACS Applied Materials & InterfacesArticle . 2023 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic Bibliographyadd 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=10.1021/acsami.3c07544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Ghent University Aca... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic BibliographyACS Applied Materials & InterfacesArticle . 2023 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefGhent University Academic BibliographyConference object . 2022Data sources: Ghent University Academic Bibliographyadd 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=10.1021/acsami.3c07544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Other literature type 2023 FrancePublisher:MDPI AG Funded by:EC | ENUBETEC| ENUBETFrancesco Terranova; F. Acerbi; I. Angelis; L. Bomben; M. Bonesini; F. Bramati; A. Branca; C. Brizzolari; G. Brunetti; S. Capelli; S. Carturan; M. G. Catanesi; S. Cecchini; F. Cindolo; G. Cogo; G. Collazuol; F. Dal Corso; C. Delogu; G. De Rosa; A. Falcone; A. Gola; L. Halić; F. Iacob; C. Jollet; A. Kallitsopoulou; B. Klicek; Y. Kudenko; Ch. Lampoudis; M. Laveder; P. Legou; A. Longhin; L. Ludovici; E. Lutsenko; L. Magaletti; G. Mandrioli; A. Margotti; V. Mascagna; S. Marangoni; N. Mauri; L. Meazza; A. Meregaglia; M. Mezzetto; A. Paoloni; T. Papaevangelou; M. Pari; E. G. Parozzi; L. Pasqualini; G. Paternoster; L. Patrizii; M. Pozzato; M. Prest; F. Pupilli; E. Radicioni; A. C. Ruggeri; D. Sampsonidis; C. Scian; G. Sirri; M. Stipcevic; M. Tenti; M. Torti; S. E. Tzamarias; E. Vallazza; L. Votano;International audience; Monitored neutrino beams are facilities where beam diagnostics enable the counting and identification of charged leptons in the decay tunnel of a narrow band beam. These facilities can monitor neutrino production at the single particle level (flux precision %) and provide information about the neutrino energy at the 10% level. The ENUBET Collaboration has demonstrated that lepton monitoring might be achieved not only by employing kaon decays but also by identifying muons from the decays and positrons from the decay-in-flight of muons before the hadron dump. As a consequence, beam monitoring can be performed using the ENUBET technique even when the kaon production yield is kinematically suppressed. This finding opens up a wealth of opportunities for measuring neutrino cross-sections below 1 GeV. In this paper, we investigate this opportunity at the European Spallation Source (ESS), which is an ideal facility to measure and cross-sections in the 0.2–1 GeV range. We also describe the planned activities for the design of this beam at the ESS within the framework of the ESSSB+ design study, which was approved by the EU in July 2022.
CERN Document Server arrow_drop_down https://doi.org/10.3390/psf202...Conference object . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2022add 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/psf2023008024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CERN Document Server arrow_drop_down https://doi.org/10.3390/psf202...Conference object . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2022add 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/psf2023008024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023Publisher:Sissa Medialab Funded by:EC | ChETEC-INFRA, ANR | UnivEarthS, ANR | Université de ParisEC| ChETEC-INFRA ,ANR| UnivEarthS ,ANR| Université de ParisAuthors: Bailly-Salins, Louis;Bailly-Salins, Louis;doi: 10.22323/1.444.0203
International audience; The KM3NeT collaboration operates two water Cherenkov neutrino telescopes in the Mediterranean sea, ORCA and ARCA. The flux of atmospheric muons produced in cosmic ray air showers forms a background to the main objectives of KM3NeT/ORCA and KM3NeT/ARCA, respectively measuring atmospheric neutrino oscillations and detecting neutrinos from astrophysical sources. A small portion of the atmospheric muons stops inside the detector’s instrumented volume. The stopping muons are 5% of the muons reconstructed using the 6 first strings deployed for ORCA. This still amounts to 1000 events per hour. We present two methods for selecting them, applied on both simulations and data. The first method uses simple cuts on a set of reconstructed variables. The second method uses a machine learning model to classify muons as “stopping” or “crossing”. Both methods allow to reach a high selection purity, close to 95%. Detecting stopping muons can serve many purposes like studying muon decay via the detection of Michel electrons or estimating the flux of atmospheric muons at sea level. This work highlights the accurate reconstruction capabilities of ORCA. The median error on the reconstructed stopping point of selected muons is less than 5 meters, and the median angular deviation is 1° . This is to be compared with the 20 meters horizontal distance between strings and the 9 meters vertical distance between optical modules. Another important result is the excellent agreement between distribution of stopping muons selected in data and in simulations.}
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 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=10.22323/1.444.0203&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 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=10.22323/1.444.0203&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 FrancePublisher:Sissa Medialab Funded by:EC | ChETEC-INFRA, ANR | UnivEarthS, ANR | Université de ParisEC| ChETEC-INFRA ,ANR| UnivEarthS ,ANR| Université de ParisAuthors: Peña Martínez, Santiago;Peña Martínez, Santiago;doi: 10.22323/1.444.1035
International audience; KM3NeT/ORCA is a large-volume water-Cherenkov neutrino detector, currently under construction at the bottom of the Mediterranean Sea at a depth of 2450 meters. The main research goal ofORCA is the measurement of the neutrino mass ordering and the atmospheric neutrino oscillationparameters. Additionally, the detector is also sensitive to a wide variety of phenomena includingnon-standard neutrino interactions, sterile neutrinos, and neutrino decay.This contribution describes the use of a machine learning framework for building Deep NeuralNetworks (DNN) which combine multiple energy estimates to generate a more precise reconstructed neutrino energy. The model is optimized to improve the oscillation analysis based ona data sample of 433 kton-years of KM3NeT/ORCA with 6 detection units. The performanceof the model is evaluated by determining the sensitivity to oscillation parameters in comparisonwith the standard energy reconstruction method of maximizing a likelihood function. The resultsshow that the DNN is able to provide a better energy estimate with lower bias in the context ofoscillation analyses.
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=10.22323/1.444.1035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 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=10.22323/1.444.1035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023Publisher:ACM Funded by:EC | TECNIOspringINDUSTRY, EC | EarlyCareEC| TECNIOspringINDUSTRY ,EC| EarlyCareAuthors: Escalona, Sergio; Alfaras, Miquel; Hernando Salvador, Rosana; Lores Obradors, Luis; +1 AuthorsEscalona, Sergio; Alfaras, Miquel; Hernando Salvador, Rosana; Lores Obradors, Luis; Haddi, Zouhair;Scientific literature has consistently identified links between bad air quality and the worsening of bronchial asthma symptomatology. To keep track of it individually, recent technology advances point to the potential benefits of using Internet of Medical Things technologies for the monitoring of respiratory health conditions. This paper describes an eHealth Monitoring Ecosystem developed for bronchial asthmatic supervision with the purpose of promoting patients' wellbeing, air quality awareness and potential links between symptoms and individual exposure to pollutants. Physiology and air quality data will be collected by means of wearable devices, facilitating an individualized assessment during a piloting phase that includes clinical supervision. This ecosystem is designed to include user-friendly interfaces for both patients and healthcare professionals which will ultimately serve to better understand the individualized clinical case of an asthmatic patient, especially sensitive to air pollution given the existing health condition.
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=10.1145/3594806.3596556&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 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=10.1145/3594806.3596556&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2023 EnglishPublisher:Zenodo Funded by:EC | D^2EPCEC| D^2EPCSeduikyte, Lina; Thanos Kalamaris; Phoebe-Zoe Georgali; Konatzii, Panagiota; Chatzipanagiotidou, Panagiota; Katsaros, Nikolaos; Koltsios Stavros; Ioannidis, Dimosthenis; Stasiulienė, Laura; Spūdys, Paulius; Jurelionis, Andrius; Fokaides, Paris;The building sector constitutes the major energy-intensive domain, with 40% of Europe’s final energy demand. Despite the increased energy consumption in buildings, there is no sufficient information about the quality of indoor environmental conditions they offer to the occupants. Indoor environmental conditions play a major role in the quality of life, yet the quality assessment is not well-known to the general public. Recent developments in the Internet of Things (IoT) domain can help in the evaluation of indoor conditions and lead the building sector into the Industry 4.0 era. Moreover, the introduction of new key performance indicators can raise the awareness of relevant stakeholders and lead to more energy-efficient homes providing enhanced human comfort conditions. This study aimed to identify human comfort and well-being key performance indicators which could be included in the next-generation energy performance certificates and extract insights on the occupants’ comfort in the two pilot buildings with the minimum available information via a non-intrusive (to the occupants) procedure. The proposed set of human comfort and well-being indicators deals with the aspects of thermal comfort, visual comfort and indoor air quality. Only quantitative key performance indicators were considered within the study, as their calculation is based on acquired data from the pilots’ IoT infrastructure.
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=10.5281/zenodo.8186495&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!visibility 12visibility views 12 download downloads 11 Powered bymore_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=10.5281/zenodo.8186495&type=result"></script>'); --> </script>
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