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Combination of Searches for Higgs Boson Pair Production in i>pp/I> Collisions at √s=13 Tev With the Atlas Detector
No full textPetersen, Troels/0000-0003-0221-3037; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Salzburger, Andreas/0000-0001-6004-3510; Gonnella, Francesco/0000-0003-0885-1654; Ventura, Andrea/0000-0002-3368-3413; Abramowicz, Halina/0000-0001-5329-6640; Smirnova, Oxana/0000-0003-2517-531X; Abdelhameed, Sara/0000-0002-0287-5869; Dyndal, Mateusz/0000-0001-9632-6352; Ramakoti, Ekaterina/0000-0003-4495-4335; Rompotis, Nikolaos/0000-0003-2577-1875; Zivkovic, Lidija/0000-0003-4236-8930; Domijan, Karolina/0009-0001-4200-1592; Calafiura, Paolo/0000-0002-1692-1678; Gavrilyuk, Alexander/0000-0003-3837-6567; Ahmadov, Faig/0000-0003-3644-540X; Potepa, Patrycja Anna/0000-0002-1325-7214; Herde, Hannah/0000-0001-8926-6734; de la Torre Perez, Hector/0000-0002-4516-5269; Abicht, Nils Julius/0000-0001-5763-2760; Canbay, Ali Can/0000-0003-4602-473X; KHWAIRA, Yahya/0000-0001-8538-1647; Pintucci, Laura/0000-0001-9842-9830; Staszewski, Rafal/0000-0001-7708-9259; Gwilliam, Carl/0000-0002-9401-5304; Maj, Klaudia/0000-0003-4819-9226; Aad, Georges/0000-0002-6665-4934; D'Auria, Saverio/0000-0003-3393-6318; /0000-0001-5765-1750; Saoucha, Kamal/0000-0001-9150-640X; Butterworth, Jonathan/0000-0002-5905-5394; Mlinarevic, Marin/0000-0003-3587-646X; Follega, Francesco Maria/0000-0003-2317-9560; Potti, Harish/0000-0002-0800-9902; Carbone, Antonio/0000-0002-4117-3800; Fiorini, Luca/0000-0002-5070-2735; Haley, Joseph/0000-0002-6938-7405; Abbott, Braden/0000-0002-5888-2734; Ragusa, Francesco/0000-0002-4064-0489; Fernandez-Martinez, Pablo/0000-0002-7818-6971; Soto, Orlando/0000-0002-8613-0310; Mindur, Bartosz/0000-0002-5511-2611; Hidaoui, Mourad/0000-0003-2025-6495; Bold, Tomasz/0000-0002-2432-411X; Teixeira-Dias, Pedro/0000-0001-9977-3836; Camplani, Alessandra/0000-0002-6386-9788; Balek, Petr/0000-0002-0942-1966; Dabrowski, Wladyslaw/0000-0001-9061-9568; Konstantinidis, Nikolaos/0000-0002-4140-6360; McKee, Shawn/0000-0002-4551-4502; Nasella, Laura/0000-0002-4871-784X; Kretzschmar, Jan/0000-0002-8515-1355; Tian, Yusong/0000-0001-8739-9250; Stanislaus, Beojan/0000-0001-9007-7658; Kupco, Alexander/0000-0003-3692-1410; Moszkowicz, Piotr/0000-0001-5269-6191; Mazzeo, Elena/0000-0002-8406-0195; Grabowska-Bold, Iwona/0000-0001-9159-1210; Roda, Chiara Maria/0000-0002-3020-4114; Etzion, Erez/0000-0001-6871-7794; Dingfelder, Jochen/0000-0001-5767-2121; Aboulhorma, Asmaa/0000-0002-9987-2292; Oh, Alexander/0000-0001-9025-0422; Sala, Alessandro/0000-0003-0824-7326; Mitsou, Vasiliki A./0000-0002-1533-8886; El Sawy, Mai/0000-0002-3012-9986This Letter presents results from a combination of searches for Higgs boson pair production using 126-140 fb(-1) of proton-proton collision data at root s = 13 TeV recorded with the ATLAS detector. At 95% confidence level (CL), the upper limit on the production rate is 2.9 times the standard model (SM) prediction, with an expected limit of 2.4 assuming no Higgs boson pair production. Constraints on the Higgs boson self-coupling modifier kappa(lambda) =lambda(HHH) /lambda(SM)(HHH), and the quartic HHVV coupling modifier kappa(2V) = g(HHVV)/g(HHVV)(SM), are derived individually, fixing the other parameter to its SM value. The observed 95% CL intervals are -1.2 kappa(lambda) 7.2 and 0.6 kappa(2V) 1.5, respectively, while the expected intervals are -1.6 kappa(lambda) 7.2 and 0.4 kappa(2V) 1.6 in the SM case. Constraints obtained for several interaction parameters within Higgs effective field theory are the strongest to date, offering insights into potential deviations from SM predictions.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); RAL (United Kingdom); BNL (USA); Tier-2 facilities worldwide; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; MOST; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF; Benoziyo Center, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; MICINN, Spain; Wallenberg Foundation, Sweden; SNSF; NSTC, Taipei; DOE; NSF, United States of America; BCKDF; CANARIE; CRC; DRAC, Canada; FORTE; PRIMUS, Czech Republic; ERC; ERDF; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany; Thales; EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN [UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091]; Leverhulme Trust, United Kingdom; Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research; Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1230812]; FONDECYT [1240864]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700]; National Natural Science Foundation of China [NSFC-12175119]; NSFC [12275265, NSFC-12075060]; Czech Republic: Czech Science Foundation [GACR-24-11373S]; Ministry of Education Youth and Sports [FORTE CZ.02.01.01/00/22_008/0004632]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU [ERC-101002463]; European Union: European Research Council [ERC-948254, ERC 101089007, MUCCA-CHIST-ERA-19-XAI-00]; European Union [FAIR-NextGenerationEU PE00000013]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG-469666862, DFG-CR 312/5-2]; Ministero dell'Universit`a e della Ricerca; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP22H01227, JP22H04944, JP22KK0227]; JSPS KAKENHI [JP23KK0245, NWO Veni 2020-VI]; Norway: Research Council of Norway [RCN-314472]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Polish National Science Centre (NCN) [2021/42/E/ST2/00350]; NCN OPUS [2022/47/B/ST2/03059]; Slovenian Research Agency [J1-3010]; Spain: Generalitat Valenciana (Artemisa, FEDER) [IDIFEDER/2018/048]; Ministry of Science and Innovation (MCIN) [NextGenEU PCI2022-135018-2]; MICIN; FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; GenT Programmes Generalitat Valenciana [CIDEGENT/2019/027]; Swedish Research Council (Swedish Research Council) [2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2018.0157, KAW 2018.0458, KAW 2019.0447]; Swiss National Science Foundation [SNSF-PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of America [ECA DE-AC02-76SF00515]; Neubauer Family FoundationWe thank CERN for the very successful operation of the LHC and its injectors, as well as the support staff at CERN and at our institutions worldwide without whom ATLAS could not be operated efficiently. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular, from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), RAL (United Kingdom), and BNL (USA), the Tier-2 facilities worldwide, and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [48]. We gratefully acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC, and CFI, Canada; CERN; ANID, Chile; CAS, MOST, and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARIS and MVZI, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF, and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, United States of America. Individual groups and members have received support from BCKDF, CANARIE, CRC, and DRAC, Canada; CERN-CZ, FORTE, and PRIMUS, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU, and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex, and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales, and Aristeia programs cofinanced by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya, and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. In addition, individual members acknowledge support from Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1230812, FONDECYT 1230987, and FONDECYT 1240864); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700), National Natural Science Foundation of China (NSFC-12175119, NSFC 12275265, and NSFC-12075060); Czech Republic: Czech Science Foundation (GACR-24-11373S), Ministry of Education Youth and Sports (FORTE CZ.02.01. 01/00/22_008/0004632), and PRIMUS Research Programme (PRIMUS/21/SCI/017); EU: H2020 European Research Council (ERC-101002463); European Union: European Research Council (ERC-948254 and ERC 101089007), Horizon 2020 Framework Programme (MUCCA-CHIST-ERA-19-XAI-00), European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002), Investissements d'Avenir Labex (ANR-11-LABX-0012); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG-469666862 and DFG-CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universit`a e della Ricerca (PRIN-20223N7F8K-PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227, and JSPS KAKENHI JP23KK0245); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020-VI.Veni.202.179); Norway: Research Council of Norway (RCN-314472); Poland: Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (NCN 2021/42/E/ST2/00350, NCN OPUS nr 2022/47/B/ST2/03059, NCN UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, and UMO-2023/49/B/ST2/04085); Slovenia: Slovenian Research Agency (ARIS Grant No. J1-3010); Spain: Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN and NextGenEU PCI2022-135018-2, MICIN and FEDER PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I), PROMETEO and GenT Programmes Generalitat Valenciana (CIDEGENT/2019/027); Sweden: Swedish Research Council (Swedish Research Council 2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, VR Grant No. 2021-03651), Knut and Alice Wallenberg Foundation (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, and KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF-PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004), Royal Society (NIF-R1-231091); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515) and Neubauer Family Foundation
Search for New Particles in Final States With a Boosted Top Quark and Missing Transverse Momentum in Proton-Proton Collisions at S = 13 Tev With the Atlas Detector
No full textA search for events with one top quark and missing transverse momentum in the final state is presented. The fully hadronic decay of the top quark is explored by selecting events with a reconstructed boosted top-quark topology produced in association with large missing transverse momentum. The analysis uses 139 fb−1 of proton-proton collision data at a centre-of-mass energy of s = 13 TeV recorded during 2015-2018 by the ATLAS detector at the Large Hadron Collider. The results are interpreted in the context of simplified models for Dark Matter particle production and the single production of a vector-like T quark. Without significant excess relative to the Standard Model expectations, 95% confidence-level upper limits on the corresponding cross-sections are obtained. The production of Dark Matter particles in association with a single top quark is excluded for masses of a scalar (vector) mediator up to 4.3 (2.3) TeV, assuming mχ = 1 GeV and the model couplings λq = 0.6 and λχ = 0.4 (a = 0.5 and gχ = 1). The production of a single vector-like T quark is excluded for masses below 1.8 TeV assuming a coupling to the top quark κT = 0.5 and a branching ratio for T → Zt of 25%. © The Author(s) 2024.BSF-NSF; DRAC; BMWFW; NAWA; Investissements d’Avenir Labex; SERI; FAPESP; Polish National Science Centre; ANPCyT; CEA-DRF; Horizon 2020, ICSC-NextGenerationEU; H2020 Marie Skłodowska-Curie Actions, MSCA; CFI; CAS; Japan Society for the Promotion of Science, JSPS; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Wallenberg Foundation; ISF; Baden-Württemberg Stiftung, BWS; PROMETEO; Neubauer Family Foundation, NFF; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Generalitat de Catalunya; IFA; FCT; BCKDF; MSSR; ERDF; Agencia Nacional de Investigación y Desarrollo, ANID; CNRST; NSF; Canarie; Horizon 2020 Framework Programme, H2020; Göran Gustafssons Stiftelser; MIZŠ; NRF; European Commission, EC; MESTD; DOE; EU-ESF; COST; CRC; RGC; SNSF; ARC; ARRS; MEXT; ICSC; ANR; HGF; FWF; STFC; MEYS CR; NSERC; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; GenT Programmes Generalitat Valenciana, Spain; DNRF; BMBF; ANID; Cantons of Bern and Geneva; NRC; MICINN; MNE; Royal Society; Minerva Foundation; European Research Council, ERC; NWO; MOST; IRFU; Generalitat Valenciana, GVA; CERN; DFG; AvH Foundation; DSI; INFN; CNPq; Polish National Agency for Academic Exchange, (PPN/PPO/2020/1/00002/U/00001); Swedish Research Council, (VR 2022-03845, VR 2022-04683, VR 2018-00482); JSPS, (22KK0227, JP21H05085, JP22H04944, 22H01227); FEDER, (IDIFEDER/2018/048); Fundación BBVA, FBBVA, (LEO22-1-603); Fundación BBVA, FBBVA; CERN-CZ, (21/SCI/017); ERC, (948254); National Natural Science Foundation of China, NSFC, (NSFC — 12175119); National Natural Science Foundation of China, NSFC; Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; MUCCA, (CHIST-ERA-19-XAI-00); FONDECYT, (1230987, 1210400, 1190886); NCN, (UMO-2021/40/C/ST2/00187, 2021/42/E/ST2/00350, UMO-2020/37/B/ST2/01043, 2022/47/B/ST2/03059, UMO-2019/34/E/ST2/00393); GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027, CIDEGENT/2019/023); ARIS, (J1-3010); Ministry of Science and Innovation, (RYC2019-028510-I, RYC2020-030254-I); UNCE, (SCI/013); DNSRC, (IN2P3-CNRS); Instituto Nazionale di Fisica Nucleare, INFN, (754496); Instituto Nazionale di Fisica Nucleare, INFN; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (SNSF — PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; La Caixa Banking Foundation, (LCF/BQ/PI20/11760025); Knut och Alice Wallenbergs Stiftelse, (KAW 2017.0100, KAW 2018.0157, KAW 2018.0458, KAW 2019.0447); Knut och Alice Wallenbergs Stiftelse; Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-11-LABX-0012, ANR-21-CE31-0022); Agence Nationale de la Recherche, ANR; Leverhulme Trust, (RPG-2020-004); Leverhulme Trust; Norwegian Financial Mechanism, (2014-2021); Deutsche Forschungsgemeinschaft, DFG, (DFG — 469666862, DFG — CR 312/5-1); Deutsche Forschungsgemeinschaft, DFG; NSFC, (12275265, NSFC-12075060); H2020 MSC IF, (101033496
Distributed Strain Sensing by Frequency-Selective Fading in Phase-Otdr
No full textCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics -- 5 May 2024 through 10 May 2024 -- Charlotte -- 202532We demonstrate a novel approach using frequency-selective fading in phase-OTDR systems to measure dynamic strain on a fiber optic cable. We present the measurements of 200 Hz, 0.03 µe strain at 2 kHz interrogation frequency. © Optica Publishing Group 2024, © 2024 The Author(s
Milimetre Dalga Radar ile Hareketli Nesne Tespitinde Çevresel Yanlış Alarmların Filtrelenmesi
No full textThis study focuses on detecting moving objects using millimeter-wave radar technology, specifically addressing false alarms caused by environmental factors such as rain and wind-driven vegetation. Millimeter-wave radar systems operate in the 76–81 GHz frequency band and offer high-resolution detection capabilities. However, they are highly sensitive to environmental interferences, which can lead to false positive detections, reducing their reliability in practical applications. To overcome these challenges, various filtering methods based on mathematical and statistical analysis were developed and tested in this study. The proposed methods aim to improve radar detection accuracy by analyzing the scalar and vector displacement patterns of detected objects. Field tests were conducted under controlled conditions, simulating scenarios with both vegetation movements and actual moving objects such as humans and vehicles. During the tests, displacement data were collected and analyzed to distinguish between oscillatory movements caused by vegetation and linear movements associated with humans or vehicles. Scalar displacement, representing the total distance traveled, and vector displacement, indicating the shortest distance between the start and end positions, were calculated for each detected object. The ratio of vector to scalar displacement was used as a key parameter for classification. Test results revealed that vegetation movements typically exhibited a lower vector-to-scalar displacement ratio, often below 42%, while human or vehicle movements demonstrated significantly higher ratios, exceeding 74%. Based on these findings, a threshold range of 55–60% was proposed to classify objects as either vegetation or non-vegetation. The developed algorithms effectively filtered out false alarms caused by vegetation, achieving a notable reduction in false positive rates and enhancing radar performance. Furthermore, the algorithms were designed to operate efficiently on resource-constrained systems such as microcontrollers, making them suitable for real-time applications. Future research is recommended to integrate velocity and acceleration analyses and explore the use of artificial intelligence methods to further enhance detection accuracy. This study contributes to the development of reliable radar systems capable of distinguishing real targets from environmental noise, expanding the applicability of millimeter-wave radar technology in security, automotive, and environmental monitoring systems.Bu çalışma, milimetre dalga radar teknolojisi kullanılarak hareketli nesnelerin tespitine odaklanmakta ve yağmur ile rüzgârın etkisiyle hareket eden bitki örtüsü gibi çevresel faktörlerden kaynaklanan yanlış alarm problemlerini ele almaktadır. Milimetre dalga radar sistemleri, 76–81 GHz frekans bandında çalışarak yüksek çözünürlükte algılama yetenekleri sunmaktadır. Ancak, bu sistemler çevresel etkilere karşı oldukça hassastır ve bu durum yanlış pozitif algılamalara yol açarak güvenilirliklerini azaltabilmektedir. Bu zorlukların üstesinden gelebilmek amacıyla, matematiksel ve istatistiksel analizlere dayalı çeşitli filtreleme yöntemleri geliştirilmiş ve test edilmiştir. Önerilen yöntemler, radar algılama doğruluğunu artırmayı amaçlamakta ve algılanan nesnelerin skaler ve vektörel yer değiştirme kalıplarını analiz etmektedir. Saha testleri, hem bitki örtüsünün hareketlerini hem de insan ve araç gibi gerçek hareketli nesneleri içeren kontrollü koşullar altında gerçekleştirilmiştir. Testlerde, yer değiştirme verileri toplanarak analiz edilmiş ve bitkilerden kaynaklanan salınım hareketleri ile insanların veya araçların doğrusal hareketleri karşılaştırılmıştır. Her bir nesne için toplam kat edilen mesafeyi ifade eden skaler yer değiştirme ve başlangıç ile bitiş noktası arasındaki en kısa mesafeyi gösteren vektörel yer değiştirme hesaplanmıştır. Vektörel ve skaler yer değiştirme oranı, sınıflandırma için temel bir parametre olarak kullanılmıştır. Test sonuçları, bitki hareketlerinin genellikle daha düşük bir vektörel-skaler yer değiştirme oranına sahip olduğunu (maksimum %42) ve insan veya araç hareketlerinin ise çok daha yüksek oranlar sergilediğini (%74 ve üzeri) ortaya koymuştur. Bu bulgulara dayanarak, %55–60 aralığında bir eşik değeri önerilmiş ve bu değerin altındaki oranlar bitki olarak sınıflandırılmıştır. Geliştirilen algoritmalar, bitki hareketlerinden kaynaklanan yanlış alarmları etkili bir şekilde filtrelemiş ve radar performansında önemli bir iyileşme sağlamıştır. Ayrıca, algoritmalar düşük kaynak gereksinimi ile mikrodenetleyici tabanlı sistemlerde verimli çalışacak şekilde tasarlanmıştır. Gelecekteki çalışmalar, hız ve ivme analizlerini entegre etmeyi ve algılama doğruluğunu daha da artırmak için yapay zeka yöntemlerini araştırmayı önermektedir. Bu çalışma, milimetre dalga radarların çevresel gürültülerden kaynaklanan yanlış alarm problemlerini azaltarak güvenilirliklerini artırmakta ve güvenlik, otomotiv ve çevresel izleme sistemleri gibi alanlarda uygulanabilirliklerini genişletmektedir
The Atlas Trigger System for Lhc Run 3 and Trigger Performance in 2022
No full textMeloni, Federico/0000-0001-7075-2214; Dova, Maria Teresa/0000-0001-6113-0878; Redlinger, George/0000-0002-6437-9991; Khoo, Teng Jian/0000-0002-5954-3101; Burdin, Sergey/0000-0003-4831-4132; Xu, Lailin/0000-0001-8997-3199; Kennedy, Philip David/0000-0002-8491-2570; Biswal, Jyoti Prakash/0000-0001-8361-2309; Chan, Jay/0000-0001-7069-0295; Potepa, Patrycja Anna/0000-0002-1325-7214; Schmitt, Christian/0000-0003-1471-690X; Wu, Xin/0000-0001-7655-389X; Verissimo de Araujo, Micael/0000-0001-8060-2228; Kar, Deepak/0000-0002-4238-9822; Mascione, Daniela/0000-0001-8660-9893; Cardillo, Fabio/0000-0002-4478-3524; Rummler, Andre/0000-0001-8945-8760; Dell'Acqua, Andrea/0000-0003-2453-7745; Manhaes de Andrade Filho, Luciano/0000-0003-1792-6793; Alpigiani, Cristiano/0000-0002-7641-5814; Atkin, Ryan/0000-0002-1972-1006; Artoni, Giacomo/0000-0002-3477-4499; Hill, Ewan/0000-0002-1725-7414; Mitsou, Vasiliki A./0000-0002-1533-8886; Ekman, Per Alexander/0000-0002-7032-2799; Chargeishvili, Bakar/0000-0002-5376-2397; 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Lazzaroni, Massimo/0000-0002-4094-1273; Balasubramanian, Rahul/0000-0001-5840-1788; Mlinarevic, Marin/0000-0003-3587-646X; Siral, Ismet/0000-0003-4554-1831; Feng, Minyu/0000-0002-0698-1482; Potti, Harish/0000-0002-0800-9902; Sykora, Ivan/0000-0003-3447-5621; Fiorini, Luca/0000-0002-5070-2735; Hirose, Shigeki/0000-0002-2389-1286; Beringer, Juerg/0000-0002-9975-1781; Belfkir, Mohamed/0000-0001-9974-1527; Balek, Petr/0000-0002-0942-1966; Ozturk, Nurcan/0000-0003-1125-6784; Starovoitov, Pavel/0000-0003-1990-0992; Mancini, Giada/0000-0001-6158-2751; Przybycien, Mariusz/0000-0002-9235-2649; Cairo, Valentina Maria Martina/0000-0002-0758-7575; Jiggins, Stephen/0000-0003-2906-1977; Ellinghaus, Frank/0000-0003-3596-5331; Cooper-Sarkar, Amanda/0000-0002-7107-5902; Ezhilov, Alexey/0000-0002-7520-293X; Vukotic, Ilija/0000-0003-0472-3516; Sfyrla, Anna/0000-0002-3003-9905; Morvaj, Ljiljana/0000-0003-2061-2904; wei, Yingjie/0000-0001-9725-2316; Panduro Vazquez, Jose Guillermo/0000-0003-2605-8940; , Sascha/0000-0003-2941-2829; Durglishvili, Archil/0000-0003-4157-592X; Held, Alexander/0000-0002-8924-5885; Zhemchugov, Alexey/0000-0002-3360-4965; Iakovidis, George/0000-0002-0330-5921; Gutschow, Christian/0000-0003-0857-794X; Kay, Ellis/0000-0002-6304-3230; Behr, J. Katharina/0000-0002-5501-4640; Castillo, Florencia Luciana/0000-0002-1172-1052; Ventura, Andrea/0000-0002-3368-3413; Thompson, Paul/0000-0002-6239-7715; Novak, Tadej/0000-0002-3053-0913; Beretta, Matteo Mario/0000-0002-7026-8171; Weiser, Christian/0000-0002-6456-6834; Saoucha, Kamal/0000-0001-9150-640X; Haas, Andrew/0000-0002-4832-0455; Liu, Xiaotian/0000-0003-1366-5530; Saibel, Andrej/0000-0002-9932-7622; Bella, Gideon/0000-0002-4009-0990; Vetterli, Michel/0000-0002-7223-2965; Begel, Michael/0000-0002-1634-4399; Schioppa, Enrico Junior/0000-0002-1369-9944; Mincer, Allen/0000-0002-6307-1418; Yamazaki, Yuji/0000-0003-3710-6995; Shabalina, Elizaveta/0000-0003-4849-556X; Ellert, Mattias/0000-0001-5265-3175; Coccaro, Andrea/0000-0003-2368-4559; Arnaez, Olivier/0000-0002-6096-0893; Bahmani, Marzieh/0000-0003-4173-0926; Chiarella, Vitaliano/0000-0002-4210-2924; Pham, Thu LH/0000-0002-8859-1313; Nemecek, Stanislav/0000-0001-8978-7150; Konstantinidis, Nikolaos/0000-0002-4140-6360; Weingarten, Jens/0000-0003-2165-871X; Falke, Peter Johannes/0000-0002-2004-476X; Hank, Michael/0000-0002-4731-6120; Faltova, Jana/0000-0003-4278-7182; Orlando, Nicola/0000-0003-0616-245X; Nobe, Takuya/0000-0002-5809-325X; Gavrilyuk, Alexander/0000-0003-3837-6567; Thompson, Emily Anne/0000-0001-7050-8203; Mezquita, Costa/0000-0002-2064-2954; Schmitt, Stefan/0000-0001-8387-1853; Evans, Harold/0000-0003-2183-3127; franklin, melissa/0000-0002-6595-883X; Sioli, Maximiliano/0000-0002-0912-9121; Gonzalez de la Hoz, Santiago/0000-0001-5304-5390; Winter, Benedict Tobias/0000-0001-9606-7688; bhattarai, prajita/0000-0001-9977-0416; McPherson, Robert/0000-0001-9211-7019; Dong, Qichen/0000-0002-0117-7831; D'Onofrio, Monica/0000-0003-2408-5099; Leban, Blaz/0000-0003-1501-7262; Llorente Merino, Javier/0000-0003-0027-7969; Tzanis, Polyneikis/0000-0001-6828-1599; Antel, Claire/0000-0001-9683-0890; Ulloa Poblete, Pablo Augusto/0000-0002-0789-7581; Gutierrez Zagazeta, Luis Felipe/0000-0003-0374-1595; Kuze, Masahiro/0000-0001-8858-8440; Qiu, Tong/0000-0001-5047-3031; uysal, zekeriya/0000-0002-7110-8065; Snesarev, Andrei/0000-0002-9067-8362; Weirich, Marcel/0000-0002-5129-872X; Faraj, Mohammed/0000-0001-9442-7598; Guescini, Francesco/0000-0001-5351-2673; Rotaru, Marina/0000-0003-4088-6275; Gray, Heather/0000-0002-5293-4716; Rossi, Eleonora/0000-0002-2146-677X; Ridel, Melissa/0000-0002-2601-7420; Bindi, Marcello/0000-0001-6172-545X; Longarini, Iacopo/0000-0002-0352-2854; Juste, Aurelio/0000-0002-1558-3291; Vadla, Knut Oddvar Hoie/0000-0001-6729-1584; Lux, Adam/0000-0002-3025-3020; Alhroob, Muhammad/0000-0001-7569-7111; Derendarz, Dominik/0000-0001-5660-3095; Duehrssen-Debling, Michael/0000-0002-5833-7058; Smolek, Karel/0000-0002-5996-7000; Kaczmarska, Anna/0000-0002-8880-4120; Maleev, Victor/0000-0003-1028-8602; Jones, Eleanor/0000-0001-6289-2292; Junggeburth, Johannes/0000-0001-7205-1171; Keaveney, James/0000-0003-0766-5307; Wu, Sau Lan/0000-0001-5866-1504; Kulchitsky, Yuri/0000-0002-3036-5575; El Ghazali, Yassine/0000-0001-9172-2946; Merlassino, Claudia/0000-0002-5445-5938; Roland, Christophe/0000-0003-2084-369X; Feligioni, Lorenzo/0000-0002-1403-0951; Seema, Pienpen/0000-0002-3727-5636; , Elham E Khoda/0000-0001-8720-6615; Rodrigues, Marcus Vinicius/0000-0002-7906-8088; Duda, Dominik/0000-0002-5916-3467; Etzion, Erez/0000-0001-6871-7794; Lassnig, Mario/0000-0002-9541-0592; Yacoob, Sahal/0000-0001-6977-3456; van Daalen, Tal/0000-0002-2254-125X; Carbone, Antonio/0000-0002-4117-3800; Vu, Ngoc Khanh/0000-0002-6251-1178; Mijovic, Liza/0000-0003-0162-2891; LeBlanc, Matt/0000-0001-5977-6418; Giordani, Mario/0000-0002-0792-6039; Penc, Ondrej/0000-0002-5433-3981; Liu, Bingxuan/0000-0002-0721-8331; EL FARKH, SAAD/0000-0002-7999-3767; Pascual Dominguez, Luis/0000-0003-4701-9481; Solomon, Shalu/0000-0002-7378-4454; Martinez-Agullo, Pablo/0000-0001-8925-9518; CARRA, SONIA/0000-0001-8650-942X; Hu, Yifan/0000-0002-0552-3383; Vecchio, Valentina/0000-0002-1351-6757; Yu, Yi/0000-0003-4762-8201; Dittus, Fridolin/0000-0002-1760-8237; Primavera, Margherita/0000-0002-6866-3818; Zorbas, Theodore Georgio/0000-0003-2073-4901; Jakoubek, Tomas/0000-0001-7038-0369; Sun, Shaojun/0000-0001-5295-6563; Goossens, Luc/0000-0002-2536-4498; Stark, Giordon/0000-0001-6616-3433; Vale, Tiago/0000-0001-8855-3520; Junkermann, Thomas/0000-0002-1119-
Periodic Topology Optimization-Based Inverse Design of Slow-Light in Silicon Nitride One-Dimensional Grating Waveguides
No full textThe Society of Photo-Optical Instrumentation Engineers (SPIE)Integrated Photonics Platforms III 2024 -- 7 April 2024 through 10 April 2024 -- Strasbourg - -201263Devices engineered for slowing light, utilizing one-dimensional grating waveguides and fabricated from silicon nitride, often necessitate large footprints to secure the required delay, a consequence of the material’s inherently low refractive index. Our approach employs a genetic algorithm to optimize 100×100nm̂2 etchings on a predetermined grating waveguide topology, allowing for either the selective guidance of peak pulse intensity of the output or the augmentation of true time delay within the identical unit length. Within the chosen predetermined topology, the optimal configuration was identified based on the properties of the signal excitation in the time domain. This approach significantly facilitates the application-specific selection of peak intensity decay rate and time delay behavior within a 1D grating waveguide system. © 2024 SPIE.Scientific and Technical Research Council; TUBITAK, (2210A, 122E566
Navigating the Challenges and Coping Strategies of Psychotherapists During the Covid-19 Pandemic: a Qualitative Study
No full textWith an increase in online psychotherapy applications during the COVID-19 pandemic, widespread challenges have become part of the lives of psychotherapists. Understanding the details of their experiences and how they coped with the adverse effects of the pandemic was crucial. For this purpose, interviews with 11 psychotherapists in private practice focusing on their experiences and coping strategies were conducted. The data were analyzed using thematic analysis. Themes related to changes in professional life revealed that psychotherapists needed to readjust their work routines and faced increased workloads. Their conduct of psychotherapy changed both from face-to-face to online and in terms of content. Another domain of change was their daily lives. It was understood that psychotherapists’ daily struggles were centered around their immediate environment at first, while they gradually became concerned about the pandemic’s broader societal consequences over time. Themes about the impact of the COVID-19 pandemic indicated that the thoughts and feelings of psychotherapists were predominantly negative. The common ways of overcoming difficulties were psychological resilience, receiving education, supervision, psychotherapy, social support, and staying informed. It was concluded that despite the pandemic-related hardships, navigating through various support systems was helpful. Still, they needed robust and systematic sources of support. The most prominent of those systems were supervision and psychotherapy, especially for effective practice. Based on the limited but detailed experiences that can be generalized to a very special group of psychotherapists, it is advised to ensure the sustainability of support from various sources within the profession in a similar future crisis. © 2024 American Psychological Associatio
Precise Measurements of i>w/I>- and i>z/I>-boson Transverse Momentum Spectra With the Atlas Detector Using i>pp/I> Collisions at √i>s/I>=5.02 Tev and 13 Tev
No full text/0000-0001-5765-1750; Fiorini, Luca/0000-0002-5070-2735; Mazzeo, Elena/0000-0002-8406-0195; Ragusa, Francesco/0000-0002-4064-0489; Gonnella, Francesco/0000-0003-0885-1654; Haley, Joseph/0000-0002-6938-7405; Nellist, Clara/0000-0002-5171-8579; Carbone, Antonio/0000-0002-4117-3800; Stabile, Alberto/0000-0002-6868-8329; Mlinarevic, Marin/0000-0003-3587-646X; Butterworth, Jonathan/0000-0002-5905-5394; Mitsou, Vasiliki A./0000-0002-1533-8886; Etzion, Erez/0000-0001-6871-7794; McKee, Shawn/0000-0002-4551-4502; Pintucci, Laura/0000-0001-9842-9830; Oh, Alexander/0000-0001-9025-0422; Konstantinidis, Nikolaos/0000-0002-4140-6360; Calafiura, Paolo/0000-0002-1692-1678; D'Auria, Saverio/0000-0003-3393-6318; KHWAIRA, Yahya/0000-0001-8538-1647; Teixeira-Dias, Pedro/0000-0001-9977-3836; Staszewski, Rafal/0000-0001-7708-9259; Gwilliam, Carl/0000-0002-9401-5304; de la Torre Perez, Hector/0000-0002-4516-5269; Stanislaus, Beojan/0000-0001-9007-7658This paper describes measurements of the transverse momentum spectra of W and Z bosons produced in proton-proton collisions at centre-of-mass energies of root s = 5.02 TeV and root s = 13 TeV with the ATLAS experiment at the Large Hadron Collider. Measurements are performed in the electron and muon channels, W -> l nu and Z -> ll (l = e or mu), and for W events further separated by charge. The data were collected in 2017 and 2018, in dedicated runs with reduced instantaneous luminosity, and correspond to 255 and 338 pb(-1) at root s = 5.02 TeV and 13 TeV, respectively. These conditions optimise the reconstruction of the W-boson transverse momentum. The distributions observed in the electron and muon channels are unfolded, combined, and compared to QCD calculations based on parton shower Monte Carlo event generators and analytical resummation. The description of the transverse momentum distributions by Monte Carlo event generators is imperfect and shows significant differences largely common to W-, W+ and Z production. The agreement is better at root s = 5.02 TeV, especvially for predictions that were tuned to Z production data at root s = 7 TeV. Higher-order, resummed predictions based on DYTURBO generally match the data best across the spectra. Distribution ratios are also presented and test the understanding of differences between the production processes.This paper is dedicated to the memory of Max Klein, a leading physicist, humanist, and advocate of international collaboration. We thank CERN for the very successful operation of the LHC and its injectors, as well as the support staff at CERN and at our institutions worldwide without whom ATLAS could not be operated efficiently. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [95]. We gratefully acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARIS and MVZI, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC/UKRI, United Kingdom; DOE and NSF, United States of America. Individual groups and members have received support from BCKDF, CANARIE, CRC and DRAC, Canada; CERN-CZ, PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. In addition, individual members wish to acknowledge support from Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987); China: National Natural Science Foundation of China (NSFC -12175119, NSFC 12275265, NSFC-12075060); Czech Republic: PRIMUS Research Programme (PRIMUS/21/SCI/017); EU: H2020 European Research Council (ERC -101002463); European Union: European Research Council (ERC -948254), Horizon 2020 Framework Programme (MUCCA -CHIST-ERA-19-XAI-00), European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU), Marie Sklodowska-Curie Actions (EU H2020 MSC IF GRANT NO 101033496); France: Agence Nationale de la Recherche (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002), Investissements d'Avenir Idex (ANR-11-LABX-0012), Investissements d'Avenir Labex (ANR-11-LABX-0012); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG -CR 312/5-1); Italy: Istituto Nazionale di Fisica Nucleare (FELLINI G.A. n. 754496, ICSC, NextGenerationEU); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020 -VI.Veni. 202.179); Norway: Research Council of Norway (RCN-314472); Poland: Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), PolishNational Science Centre(NCN2021/42/E/ST2/00350, NCN UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187); Slovenia: Slovenian Research Agency (ARIS grant J1-3010); Spain: BBVA Foundation (LEO22-1-603), GeneralitatValenciana (Artemisa, FEDER, IDIFEDER/2018/048), La Caixa Banking Foundation (LCF/BQ/PI20/11760025), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022135018-2, MICIN ; FEDER PID2021-125273NB, RYC2019028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I), PROMETEO andGenT ProgrammesGeneralitatValenciana (CIDEGENT/2019/023, CIDEGENT/2019/027); Sweden: Swedish Research Council (VR 2018-00482, VR 2022-03845, VR 2022-04683, VR grant 2021-03651), Knut and Alice Wallenberg Foundation (KAW 2017.0100, KAW 2018.0157, KAW 2018.0458, KAW 2019.0447); Switzerland: Swiss National Science Foundation (SNSF -PCEFP2 _194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; ANID, Chile; CAS, China; MOST, China; NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRI, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARIS, Slovenia; MVZI, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC/UKRI, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; CRC, Canada; DRAC, Canada; CERN-CZ, Czech Republic [PRIMUS 21/SCI/017, UNCE SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; ICSC-NextGenerationEU, European Union; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex, France; ANR, France; DFG, Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF; Aristeia programme - EU-ESF; Greek NSRF, Greece; BSF-NSF, Israel; MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; Agencia Nacional de Investigacion y Desarrollo [FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987]; National Natural Science Foundation of China [NSFC -12175119, NSFC 12275265, NSFC-12075060]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU: H2020 European Research Council [ERC -101002463]; European Union: European Research Council [ERC -948254]; Horizon 2020 Framework Programme [MUCCA -CHIST-ERA-19-XAI-00]; European Union, Future Artificial Intelligence Research [FAIR-NextGenerationEU PE00000013]; Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); Marie Sklodowska-Curie Actions (EU H2020 MSC IF GRANT) [101033496]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002]; Investissements d'Avenir Idex [ANR-11-LABX-0012]; Investissements d'Avenir Labex [ANR-11-LABX-0012]; Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme); Deutsche Forschungsgemeinschaft [DFG -CR 312/5-1]; Istituto Nazionale di Fisica Nucleare [754496]; Japan Society for the Promotion of Science [JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944]; Netherlands Organisation for Scientific Research [NWO Veni 2020 -VI.Veni. 202.179]; Research Council of Norway [RCN-314472]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; PolishNational Science Centre [NCN2021/42/E/ST2/00350, NCN UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187]; Slovenian Research Agency (ARIS grant) [J1-3010]; BBVA Foundation [LEO22-1-603]; GeneralitatValenciana (Artemisa, FEDER) [IDIFEDER/2018/048]; La Caixa Banking Foundation [LCF/BQ/PI20/11760025]; Ministry of Science and Innovation [PCI2022135018-2, PID2021-125273NB, RYC2019028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; PROMETEO Programme GeneralitatValenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; GenT Programme GeneralitatValenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; Swedish Research Council [VR 2018-00482, VR 2022-03845, VR 2022-04683, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2017.0100, KAW 2018.0157, KAW 2018.0458, KAW 2019.0447]; Swiss National Science Foundation [SNSF -PCEFP2 _194658]; United Kingdom: Leverhulme Trust [RPG-2020-004]; U.S. Department of Energy [ECA DE-AC02-76SF00515]; Neubauer Family Foundatio
Differentiating Diversity Consciousness from Pro-diversity Attitude
No full text[No Abstract Available