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Search for Supersymmetry Using Vector Boson Fusion Signatures and Missing Transverse Momentum in Pp Collisions at √s=13 Tev With the ATLAS Detector
No full textStanislaus, Beojan/0000-0001-9007-7658; Petersen, Troels/0000-0003-0221-3037; Nellist, Clara/0000-0002-5171-8579;This paper presents a search for supersymmetric particles in models with highly compressed mass spectra, in events consistent with being produced through vector boson fusion. The search uses 140 fb(-1) of proton-proton collision data at root s = 13 TeV collected by the ATLAS experiment at the Large Hadron Collider. Events containing at least two jets with a large gap in pseudorapidity, large missing transverse momentum, and no reconstructed leptons are selected. A boosted decision tree is used to separate events consistent with the production of supersymmetric particles from those due to Standard Model backgrounds. The data are found to be consistent with Standard Model predictions. The results are interpreted using simplified models of R-parity-conserving supersymmetry in which the lightest supersymmetric partner is a bino-like neutralino with a mass similar to that of the lightest chargino and second-to-lightest neutralino, both of which are wino-like. Lower limits at 95% confidence level on the masses of next-to-lightest supersymmetric partners in this simplified model are established between 117 and 120 GeV when the lightest supersymmetric partners are within 1 GeV in mass.CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERN; CERNWe 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
Measurement of the W-Boson Mass and Width With the Atlas Detector Using Proton–proton Collisions at √s=7 TeV
No full textProton–proton collision data recorded by the ATLAS detector in 2011, at a centre-of-mass energy of 7 TeV, have been used for an improved determination of the W-boson mass and a first measurement of the W-boson width at the LHC. Recent fits to the proton parton distribution functions are incorporated in the measurement procedure and an improved statistical method is used to increase the measurement precision. The measurement of the W-boson mass yields a value of mW=80,366.5±9.8(stat.)±12.5(syst.) MeV =80,366.5±15.9 MeV, and the width is measured as ΓW=2202±32(stat.)±34(syst.) MeV =2202±47 MeV. The first uncertainty components are statistical and the second correspond to the experimental and physics-modelling systematic uncertainties. Both results are consistent with the expectation from fits to electroweak precision data. The present measurement of mW is compatible with and supersedes the previous measurement performed using the same data. © The Author(s) 2024.BNL; Australian Research Council, ARC; La Caixa Banking Foundation; Centre National pour la Recherche Scientifique et Technique, CNRST; Center for African Studies, CAS; Fundação para a Ciência e a Tecnologia, FCT; European Union, Future Artificial Intelligence Research; Danville Regional Foundation, DRF; Georgia Health Initiative, HGF; National Science Foundation, NSF; H2020 Marie Skłodowska-Curie Actions, MSCM; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Leverhulme Trust; Baden-Württemberg Stiftung, BWS; PROMETEO; Spine Education and Research Institute, SERI; Neubauer Family Foundation, NFF; Generalitat de Catalunya; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FWF; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Canada Foundation for Innovation, CFI; Danmarks Grundforskningsfond, DNRF; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Forskningsrådet för hälsa, arbetsliv och välfärd, FORTE; Karlsruhe Institute of Technology, KIT; Canarie; GridKA; Horizon 2020 Framework Programme; Göran Gustafssons Stiftelser; MIZŠ; CNY Arts, CNY; United States-Israel Binational Science Foundation, BSF; European Commission, EU; European Social Fund Plus, ΕΚΤ; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; European Cooperation in Science and Technology, COST; International Council of Shopping Centers, ICSC; RGC; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; Islamic Scholarship Fund, ISF; Institutul de Fizică Atomică, IFA; Natural Sciences and Engineering Research Council of Canada, NSERC; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Irish Rugby Football Union, IRFU; Cantons of Bern and Geneva; Defence Science Institute, DSI; MNE; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Royal Society; Minerva Foundation; Marcus och Amalia Wallenbergs minnesfond, MMW; CERN-CZ; National Research Foundation, NRF; Ministerstwo Edukacji i Nauki, MNiSW; Generalitat Valenciana, GVA; CERN, CERN; National Research Council Canada, NRC; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; Horizon 2020; Istituto Nazionale di Fisica Nucleare, INFN; British Columbia Knowledge Development Fund, BCKDF; Ministry of Education, Culture, Sports, Science and Technology, MEXT; National Natural Science Foundation of China, NNSF, (12275265, 12175119, NSFC-12075060); National Natural Science Foundation of China, NNSF; U.S. Department of Energy, FEA, (ECA DE-AC02-76SF00515); U.S. Department of Energy, FEA; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, FNS, (RPG-2020-004, NIF-R1-231091, PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, FNS; Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (1230987, 1210400, 1190886, 1230812); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT; Ministry of Science and Technology of the People's Republic of China, MOST, (MOST-2023YFA1605700); Ministry of Science and Technology of the People's Republic of China, MOST; Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; Investissements d’Avenir Labex, (ANR-11-LABX-0012); Norwegian Financial Mechanism, (2014-2021); Ministerstvo Školství, Mládeže a Tělovýchovy, MEYS, (CZ.02.01.01/00/22_008/0004632, PRIMUS/21/SCI/017); Ministerstvo Školství, Mládeže a Tělovýchovy, MEYS; European Regional Development Fund, FEDER, (IDIFEDER/2018/048); European Regional Development Fund, FEDER; Narodowe Centrum Nauki, NCN, (UMO-2022/47/O/ST2/00148, UMO-2019/34/E/ST2/00393, UMO- 2023/49/B/ST2/04085, 2021/42/E/ST2/00350, 2022/47/B/ST2/03059, UMO-2021/40/C/ST2/00187, UMO-2020/37/B/ST2/01043); Narodowe Centrum Nauki, NCN; North Dakota Game and Fish Department, NDGF, (CC-IN2P3); North Dakota Game and Fish Department, NDGF; DRAC, (21/SCI/017); DNSRC, (IN2P3-CNRS); European Research Council, ERC, (101089007, 948254); European Research Council, ERC; Vetenskapsrådet, VR, (2023-04654, 2021-03651, VR 2023-03403, VR 2022-03845, VR 2022-04683, VR 2018-00482); Vetenskapsrådet, VR; Japan Society for the Promotion of Science, JSPS, (JP21H05085, JP22KK0227, JP22H04944, JP22H01227); Japan Society for the Promotion of Science, JSPS; Ministerio de Ciencia e Innovación, MICINN, (RYC2022-038164-I, PID2021-125273NB, RYC2019-028510-I, RYC2021-031273-I, PCI2022-135018-2, RYC2020-030254-I); Ministerio de Ciencia e Innovación, MICINN; Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022); Agence Nationale de la Recherche, ANR; MUCCA, (CHIST-ERA-19-XAI-00); Knut och Alice Wallenbergs Stiftelse, (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Knut och Alice Wallenbergs Stiftelse; Grantová Agentura České Republiky, GACR, (GACR - 24-11373 S); Grantová Agentura České Republiky, GACR; GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027, CIDEGENT/2019/023); NextGenerationEU, NGEU, (PE00000013); NextGenerationEU, NGEU; The Slovenian Research and Innovation Agency, ARRS, (J1-3010); The Slovenian Research and Innovation Agency, ARRS; H2020 European Research Council, CEI, (ERC - 101002463); H2020 European Research Council, CEI; Deutsche Forschungsgemeinschaft, DFG, (DFG - CR 312/5-2, DFG - 469666862); Deutsche Forschungsgemeinschaft, DFG; Narodowa Agencja Wymiany Akademickiej, NAWA, (PPN/PPO/2020/1/00002/U/00001); Narodowa Agencja Wymiany Akademickiej, NAW
A novel CFD-ANN approach for plunger valve optimization: Cost-effective performance enhancement
No full textThis paper introduces a novel computational fluid dynamics-artificial neural network (CFD-ANN) approach that has been devised to enhance the efficiency of plunger valves. The primary emphasis of this research is to achieve an optimal equilibrium between hydraulic flow and geometric configuration. This study is a novel contribution to the field as it explores the flow dynamics of plunger valves using Computational Fluid Dynamics (CFD) and proposes a unique methodology by incorporating Machine Learning (ML) for performance forecasting. An artificial neural network (ANN) architecture was developed using a thorough comprehension of flow physics and the impact of geometric parameters acquired through computational fluid dynamics (CFD). Using optimization, the primary aspects of the Artificial Neural Network (ANN), including the learning algorithm and the number of hidden layers, have been modified. This refinement has resulted in the development of an architecture exhibiting a remarkably high R2 value of 0.987. This architectural design was employed to optimize the plunger valve. By utilizing Artificial Neural Networks (ANN), a comprehensive analysis comprising 1000 distinct configurations was effectively performed, resulting in a significant reduction in time expenditure compared to relying on Computational Fluid Dynamics (CFD). The result was a refined arrangement that achieved maximum head loss, subsequently verified using computational fluid dynamics (CFD) simulations, resulting in a minimal discrepancy of 2.66%. The efficacy of artificial neural networks (ANN) becomes apparent due to their notable cost-efficiency, along with their capacity to produce outcomes that are arduous and expensive to get through conventional optimization research utilizing computational fluid dynamics (CFD). © 2024 Elsevier Lt
Effects of Vacancy Defects and Atomic Doping on the Electronic and Magnetic Properties of Puckered Penta-Like Pdpse Monolayer: an Ab Initio Study
No full textThe experimental knowledge of two-dimensional penta-like PdPSe monolayer is largely based on a recent publication (Li et al 2021 Adv. Mater. 2102541). Therefore, the aim of our research is consequently to explore the effect of vacancy defects and substitutional doping on the electronic properties of the novel penta-PdPSe monolayer by using first-principles calculations. Penta-like PdPSe is a semiconductor with an indirect bandgap of 1.40 eV. We show that Pd and Se vacancy defected structures are semiconductors with band gaps of 1.10 eV and 0.95 eV respectively. While P single vacancy and double vacancy defected structures are metals. The doping with Ag (at Pd site) and Si (at P site) convert the PdPSe to nonmagnetic metallic monolayer while the doping with Rh (at Pd site), Se (at P site) and As (at site Se) convert it to diluted magnetic semiconductors with the magnetic moment of 1 mu (B). The doping with Pt (at the Pd site), As (at the P site), S and Te (at Se site) are indirect semiconductors with a bandgap of similar to 1.2 eV. We undertook this theoretical study to inspire many experimentalists to focus on penta-like PdPSe monolayer growth incorporating different impurities and by defect engineering to tune the novel two dimensional materials (PdPSe) properties for the advanced nanoelectronic application.Iran National Science Foundationhttp://dx.doi.org/10.13039/501100003968 [4020997]; Iran National Science Foundation (INSF)This work is based upon research founded by Iran National Science Foundation (INSF) under Project No. 4020997. Furthermore, The numerical calculations reported were fully/partially performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources)
Measurement of Single Top-Quark Production in Association With a W Boson in i>pp/I> Collisions at √i>s/I>=13 Tev With the Atlas Detector
No full textAad, Georges/0000-0002-6665-4934; Carbone, Antonio/0000-0002-4117-3800; Petersen, Troels/0000-0003-0221-3037; Nasella, Laura/0000-0002-4871-784X; Fernandez-Martinez, Pablo/0000-0002-7818-6971; Ragusa, Francesco/0000-0002-4064-0489; Kretzschmar, Jan/0000-0002-8515-1355; Ventura, Andrea/0000-0002-3368-3413; Sala, Alessandro/0000-0003-0824-7326; Calafiura, Paolo/0000-0002-1692-1678; Camplani, Alessandra/0000-0002-6386-9788; Gwilliam, Carl/0000-0002-9401-5304; Abbott, Braden/0000-0002-5888-2734; D'Auria, Saverio/0000-0003-3393-6318; Aboulhorma, Asmaa/0000-0002-9987-2292; Abdelhameed, Sara/0000-0002-0287-5869; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Canbay, Ali Can/0000-0003-4602-473X; Stanislaus, Beojan/0000-0001-9007-7658; Abicht, Nils Julius/0000-0001-5763-2760; Mazzeo, Elena/0000-0002-8406-0195; Tian, Yusong/0000-0001-8739-9250; Rompotis, Nikolaos/0000-0003-2577-1875; Abramowicz, Halina/0000-0001-5329-6640The inclusive cross section for the production of a single top quark in association with a W boson is measured using 140 fb(-1) of proton-proton collision data collected with the ATLAS detector at root s = 13 TeV. Events containing two charged leptons and at least one jet identified as originating from a b-quark are selected. A multivariate discriminant is constructed to separate the tW signal from the t (t) over bar background. The cross section is extracted using a profile likelihood fit to the signal and control regions and it is measured to be sigma(tW) = 75(-14)(+15) pb, in good agreement with the Standard Model prediction. The measured cross section is used to extract a value for the left-handed form factor at the Wtb vertex times the CabibboKobayashi-Maskawa matrix element vertical bar f(LV)V(tb)vertical bar of 0.97 +/- 0.10.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. [89]. 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 CEADRF/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; MICIU/AEI, 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, FORTE and PRIMUS, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSCNextGenerationEU 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 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 wish to acknowledge support from Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (Grants No. FONDECYT 1230812, No. FONDECYT 1230987, No. FONDECYT 1240864); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700), National Natural Science Foundation of China (Grants No. NSFC-12175119, No. NSFC-12275265, No. NSFC12075060); Czech Republic: Czech Science Foundation (Grant No. GACR-24-11373S), Ministry of Education Youth and Sports (Grant No. FORTE CZ.02.01.01/00/22_008/0004632), PRIMUS Research Programme (Grant No. PRIMUS/21/SCI/017); EU: H2020 European Research Council (Grant No. ERC-101002463); European Union: European Research Council (Grants No. ERC-948254, No. ERC-101089007), Horizon 2020 Framework Programme (Grant No. MUCCA-CHIST-ERA-19-XAI00), European Union, Future Artificial Intelligence Research (Grant No. FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (Grants No. ANR-20-CE31-0013, No. ANR21-CE31-0013, No. ANR-21-CE31-0022, No. ANR-22EDIR-0002), Investissements d'Avenir Labex (Grant No. ANR-11-LABX-0012); Germany: BadenWurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (Grants No. DFG-469666862, No. DFG-CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universit`a e della Ricerca (Grant No. PRIN-20223N7F8K-PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (Grants No. JSPS KAKENHI JP22H01227, No. JSPS KAKENHI JP22H04944, No. JSPS KAKENHI JP22KK0227, No. JSPS KAKENHI JP23KK0245); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020VI.Veni.202.179); Norway: Research Council of Norway (Grant No. RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no 9722), Polish National Agency for Academic Exchange (Grant No. PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (Grants No. NCN 2021/42/E/ST2/00350, No. NCN OPUS nr 2022/47/B/ST2/03059, No. NCN UMO-2019/34/E/ST2/00393, No. UMO-2020/37/B/ST2/01043, No. UMO-2021/40/C/ST2/00187, No. UMO2022/47/O/ST2/00148, No. UMO-2023/49/B/ST2/04085); Slovenia: Slovenian Research Agency (ARIS Grant No. J1-3010); Spain: Generalitat Valenciana (Artemisa, FEDER, Grant No. IDIFEDER/2018/048), Ministry of Science and Innovation (Grants No. MCIN ; NextGenEU PCI2022-135018-2, No. MICIN ; FEDER PID2021-125273NB, No. RYC2019-028510-I, No. RYC2020-030254-I, No. RYC2021-031273-I, No. RYC2022-038164-I), PROMETEO and GenT Programmes Generalitat Valenciana (Grant No. CIDEGENT/2019/027); Sweden: Swedish Research Council (Swedish Research Council 2023-04654, Grants No. VR 2018-00482, No. VR 2022-03845, No. VR 202204683, No. VR 2023-03403, No. VR 2021-03651), Knut and Alice Wallenberg Foundation (Grants No. KAW 2018.0157, No. KAW 2018.0458, No. KAW 2019.0447, No. KAW 2022.0358); Switzerland: Swiss National Science Foundation (Grant No. SNSF-PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust Grant No. RPG-2020-004), Royal Society (Grant No. NIFR1-231091); United States of America: U.S. Department of Energy (Grant No. ECA DE-AC02-76SF00515), Neubauer Family Foundation.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); RAL (UK); BNL (USA); ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEADRF/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; SRC; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; STFC/UKRI, United Kingdom; DOE; NSF, United States of America; BCKDF; CANARIE; CRC; DRAC, Canada; FORTE [CZ.02.01.01/00/22_008/0004632]; 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; 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, UMO2022/47/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 [NIFR1-231091]; Leverhulme Trust, United Kingdom; Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research; Chile: Agencia Nacional de Investigacion y Desarrollo; FONDECYT [1240864]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700]; National Natural Science Foundation of China [NSFC-12175119, NSFC-12275265, NSFC12075060]; Czech Republic: Czech Science Foundation [GACR-24-11373S]; Ministry of Education Youth and Sports; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU: H2020 European Research Council [ERC-101002463]; European Union: European Research Council [ERC-948254, ERC-101089007]; Horizon 2020 Framework Programme; European Union, Future Artificial Intelligence Research [FAIR-NextGenerationEU PE00000013]; Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC); France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR21-CE31-0013, ANR-21-CE31-0022, ANR-22EDIR-0002]; Investissements d'Avenir Labex; Germany: BadenWurttemberg Stiftung [BW Stiftung-Postdoc Eliteprogramme]; Deutsche Forschungsgemeinschaft [DFG-469666862, DFG-CR 312/5-2]; Italy: Istituto Nazionale di Fisica Nucleare (ICSC); Ministero dell'Universit`a e della Ricerca [PRIN-20223N7F8K-PNRR M4.C2.1.1]; Japan: Japan Society for the Promotion of Science; JSPS KAKENHI [JP23KK0245, NWO Veni 2020VI]; Norway: Research Council of Norway [RCN-314472]; Ministry of Science and Higher Education [9722]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Polish National Science Centre; 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 [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 [202204683, VR 2023-03403, VR 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; U.S. Department of Energy; ECA [DE-AC02-76SF00515]; Neubauer Family Foundatio
Measurement of the Vh,h → Ττ Process With the Atlas Detector at 13 Tev
No full textA measurement of the Standard Model Higgs boson produced in association with a W or Z boson and decaying into a pair of τ-leptons is presented. This search is based on proton-proton collision data collected at s=13 TeV by the ATLAS experiment at the LHC corresponding to an integrated luminosity of 140 fb−1. For the Higgs boson candidate, only final states with at least one τ-lepton decaying hadronically (τ→hadrons+ντ) are considered. For the vector bosons, only leptonic decay channels are considered: Z→ℓℓ and W→ℓνℓ, with ℓ=e,μ. An excess of events over the expected background is found with an observed (expected) significance of 4.2 (3.6) standard deviations, providing evidence of the Higgs boson produced in association with a vector boson and decaying into a pair of τ-leptons. The ratio of the measured cross-section to the Standard Model prediction is μVHττ=1.28−0.29+0.30(stat.)−0.21+0.25(syst.). This result represents the most accurate measurement of the VH(ττ) process achieved to date. © 2024 The Author(s)BSF-NSF; BNL; DRAC; BMWFW; NAWA; European Union, Future Artificial Intelligence Research; European Organization for Nuclear Research; SERI; FAPESP; Polish National Science Centre; ANPCyT; CEA-DRF; Horizon 2020, ICSC-NextGenerationEU; H2020 Marie Skłodowska-Curie Actions, MSCA; CFI; CAS; INFN-CNAF; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Ministry of Science and Innovation; Wallenberg Foundation; ISF; Leverhulme Trust; Baden-Württemberg Stiftung, BWS; PROMETEO; Neubauer Family Foundation, NFF; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Generalitat de Catalunya; Instituto Nazionale di Fisica Nucleare, INFN; IFA; FCT; BCKDF; MSSR; ERDF; Agencia Nacional de Investigación y Desarrollo, ANID; CNRST; NSF; Canarie; GridKA; 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; KIT; MICINN; MNE; Royal Society; Minerva Foundation; NWO; MOST; IRFU; Generalitat Valenciana, GVA; CERN; DFG; AvH Foundation; Canton of Bern and Geneva; DSI; INFN; CNPq; Swedish Research Council, (VR 2022-03845, VR 2022-04683, VR 2018-00482, 2021-03651); Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022); Agence Nationale de la Recherche, ANR; U.S. Department of Energy, USDOE, (ECA DE-AC02-76SF00515); U.S. Department of Energy, USDOE; MCIN, (RYC2021-031273-I, RYC2019-028510-I, RYC2020-030254-I, PID2021-125273NB, RYC2022-038164-I, PCI2022-135018-2); Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; Deutsche Forschungsgemeinschaft, DFG, (DFG - CR 312/5-2, DFG - 469666862); Deutsche Forschungsgemeinschaft, DFG; GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027, CIDEGENT/2019/023); NDGF, (CC-IN2P3); NCN, (UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2019/34/E/ST2/00393, 2021/42/E/ST2/00350, UMO-2020/37/B/ST2/01043, 2022/47/B/ST2/03059); Norwegian Financial Mechanism, (2014-2021); Knut och Alice Wallenbergs Stiftelse, (KAW 2017.0100, KAW 2018.0157, KAW 2018.0458, KAW 2019.0447); Knut och Alice Wallenbergs Stiftelse; European Research Council, ERC, (101089007, 948254); European Research Council, ERC; Polish National Agency for Academic Exchange, (PPN/PPO/2020/1/00002/U/00001); ARIS, (J1-3010); FEDER, (IDIFEDER/2018/048); JSPS, (JP22H01227, JP21H05085, JP22KK0227, JP22H04944); Fundación BBVA, FBBVA, (LEO22-1-603); Fundación BBVA, FBBVA; National Natural Science Foundation of China, NSFC, (12275265, 12175119, PRIMUS/21/SCI/017, NSFC-12075060); National Natural Science Foundation of China, NSFC; La Caixa Banking Foundation, (LCF/BQ/PI20/11760025); MUCCA, (CHIST-ERA-19-XAI-00); CERN-CZ, (21/SCI/017); FAIR-NextGenerationEU, (PE00000013); ERC, (101089007); Investissements d'Avenir Labex, (ANR-11-LABX-0012); NSFC, (NSFC-12075060); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (RPG-2020-004, PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; UNCE, (SCI/013); Japan Society for the Promotion of Science, JSPS, (JP21H05085, JP22KK0227, JP22H04944, JP22H01227); Japan Society for the Promotion of Science, JSPS; DNSRC, (IN2P3-CNRS); FONDECYT, (1230987, 1210400, 1190886, 1230812
Search for Non-Resonant Higgs Boson Pair Production in the 2b+2l+esub>t/Sub>sup>miss Final State in i>pp/I> Collisions at √s=13 Tev With the Atlas Detector
No full textWeirich, Marcel/0000-0002-5129-872X; Betti, Alessandra/0000-0003-0839-9311; Auriol, Adrien/0000-0002-3623-1228; Delsart, Pierre-Antoine/0000-0002-9556-2924; KOULOURIS, AIMILIANOS/0000-0003-1012-4675; Thompson, Paul/0000-0002-6239-7715; Verissimo de Araujo, Micael/0000-0001-8060-2228; Bassalat, Ahmed/0000-0002-0129-1423; Cheng, Hok-Chuen/0000-0002-8912-4389; snyder, scott/0000-0001-8610-8423; Troncon, Clara/0000-0002-7997-8524; Mogg, Philipp/0000-0003-2688-234X; Tudorache, Alexandra/0000-0001-6307-1437; Walder, James/0000-0002-9039-8758; Schramm, Steven/0000-0001-9031-6751; Beretta, Matteo Mario/0000-0002-7026-8171; Gregor, Ingrid Maria/0000-0002-5976-7818; Ould-Saada, Farid/0000-0002-9404-835X; Fox, Harald/0000-0003-3089-6090; Shapiro, Marjorie/0000-0001-8540-9654; Rieger, Oliver/0009-0008-3521-1920; Fisher, Wade/0000-0003-3043-3045; Kroninger, Kevin/0000-0001-9873-0228; Benchekroun, Driss/0000-0001-5196-8327; Gwilliam, Carl/0000-0002-9401-5304; Meloni, Federico/0000-0001-7075-2214; Lopez Solis, Alvaro/0000-0002-0511-4766; Gonella, Laura/0000-0002-4919-0808; Chu, Ming-chung/0000-0002-1971-0403; Pleskot, Vojtech/0000-0001-5435-497X; Straessner, Arno/0000-0003-2460-6659; Zenz, Seth/0000-0002-9720-1794; Filthaut, Frank/0000-0003-3338-2247; Froch, Alexander/0000-0002-8259-2622; Bakos, Evelin/0000-0002-1110-4433; Carlson, Benjamin/0000-0002-7550-7821; Thompson, Emily Anne/0000-0001-7050-8203; Junkermann, Thomas/0000-0002-1119-8820; Metcalfe, Jessica/0000-0001-5454-3017; Wolter, Marcin/0000-0001-9184-2921; Long, Jonathan David/0000-0002-2115-9382; Nisati, Aleandro/0000-0002-5080-2293; Geanta, Andrei-Alexandru/0000-0003-2781-2933; Garcia, Carmen/0000-0003-1625-7452; Bouaouda, Khalil/0000-0002-7723-5030; Orestano, Domizia/0000-0001-5103-5527; Ghosh, Aishik/0000-0003-0819-1553; Zhang, Zhiqing/0000-0002-7853-9079; Nobe, Takuya/0000-0002-5809-325X; Dong, Qichen/0000-0002-0117-7831; Bednyakov, Vadim/0000-0003-4864-8909; Kulchitsky, Yuri/0000-0002-3036-5575; Heinrich, Jochen Jens/0000-0002-0253-0924; Tzanis, Polyneikis/0000-0001-6828-1599; Sfyrla, Anna/0000-0002-3003-9905; Petersen, Troels/0000-0003-0221-3037; Varvell, Kevin/0000-0003-1017-1295; Wang, Renjie/0000-0002-5059-8456; Akesson, Torsten/0000-0003-4141-5408; Santra, Arka/0000-0003-4644-2579; Sawyer, Lee/0000-0001-8295-0605; Czurylo, Marta/0000-0003-1943-5883; Nairz, Armin/0000-0003-3561-0880; Andrean, Stefio Yosse/0000-0002-9766-2670; Dziedzic, Bartosz/0000-0002-0805-9184; Schmidt, Mustafa/0000-0002-4467-2461; Wang, Zirui/0000-0002-0928-2070; Kersevan, Borut/0000-0002-4529-452X; Cepaitis, Vilius/0000-0002-4809-4056; Bitadze, Alexander/0000-0001-7979-1092; Qiu, Tong/0000-0001-5047-3031; Schmitt, Stefan/0000-0001-8387-1853; Roda, Chiara Maria/0000-0002-3020-4114; Adamczyk, Leszek/0000-0002-5859-2075; Chiarella, Vitaliano/0000-0002-4210-2924; Spolidoro Freund, Werner/0000-0003-4473-1027; Alonso, Francisco/0000-0001-9431-8156; Wengler, Thorsten/0000-0002-4375-5265; Dabrowski, Wladyslaw/0000-0001-9061-9568; Beacham, James/0000-0003-3623-3335; Rossi, Eleonora/0000-0002-2146-677X; Mascione, Daniela/0000-0001-8660-9893; Rieck, Patrick/0000-0003-0290-0566; Di Domenico, Antonio/0000-0001-8078-2759; Sandesara, Jay/0000-0002-6016-8011; Chou, Yuan-Tang/0000-0002-2204-5731; Li, Zhelun/0000-0001-7096-2158; Tanaka, Reisaburo/0000-0002-9929-1797; Croft, Vincent Alexander/0000-0002-8731-4525; Zhang, Kaili/0000-0002-9778-9209; Golling, Tobias/0000-0001-8535-6687; Baldin, Evgenii/0000-0002-9854-975X; Mkrtchyan, Tigran/0000-0002-5786-3136; Vormwald, Benedikt/0000-0003-2607-7287; Angerami, Aaron/0000-0001-7834-8750; URQUIJO, PHILLIP/0000-0002-0887-7953; Carratta, Giuseppe/0000-0002-8846-2714; Barranco Navarro, Laura/0000-0002-3380-8167; Sadrozinski, Hartmut/0000-0003-0019-5410; Yang, Siqi/0000-0002-0204-984X; Allport, Philip/0000-0001-7303-2570; Pham, Thu LH/0000-0002-8859-1313; Vincter, Manuella/0000-0002-5338-8972; Kowalewski, Robert/0000-0002-7314-0990; Affolder, Anthony/0000-0002-9058-7217; Seema, Pienpen/0000-0002-3727-5636; Yuan, Man/0000-0002-0991-5026; Bachacou, Henri/0000-0002-2256-4515; Jimenez Pena, Javier/0000-0002-8705-628X; Russakovich, Nikolai/0000-0003-1927-5322; Snesarev, Andrei/0000-0002-9067-8362; Du, Dongshuo/0000-0002-6758-0113; Potter, Christina/0000-0002-9815-5208; Roloff, Jennifer/0000-0001-6479-3079; Stockton, Mark/0000-0001-9679-0323; Introzzi, Gianluca/0000-0002-1314-2580; Masetti, Lucia/0000-0002-0038-5372; cerri, alessandro/0000-0002-1904-6661; DA FONSECA PINTO, JOAO VICTOR/0000-0003-1746-1914; Przybycien, Mariusz/0000-0002-9235-2649; Murray, William/0000-0003-1710-6306; Martinelli, Luca/0000-0002-4466-3864; Moskalets, Tetiana/0000-0001-6508-3968; Pollard, Christopher/0000-0002-3690-3960; Dinu, Ioan-Mihail/0000-0002-2683-7349; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Ekman, Per Alexander/0000-0002-7032-2799; Bindi, Marcello/0000-0001-6172-545X; Lee, Suhyun/0000-0003-0836-416X; Bogavac, Danijela/0000-0003-2138-9062; Pascual Dominguez, Luis/0000-0003-4701-9481; Kurchaninov, Leonid/0000-0001-9392-3936; Shi, Liaoshan/0000-0001-9532-5075; Yorita, Kohei/0000-0003-1988-8401; Jinnouchi, Osamu/0000-0001-5073-0974; Karpova, Zoya/0000-0003-0254-4629; Oide, Hideyuki/0000-0002-2173-3233; Gomez Delegido, Antonio Jesus/0000-0003-4315-2621; Sinha, Sukanya/0000-0002-2438-3785; Barreiro, Fernando/0000-0002-3021-0258; Longarini, Iacopo/0000-0002-0352-2854; Rodrigues, Marcus Vinicius/0000-0002-7906-8088; Cremonini, Davide/0000-0003-1687-3079; Zhang, Bowen/0000-0002-9726-6707; Stupak III, John/0000-0001-9610-0783; Di Luca, Andrea/0000-0002-9074-2133; Koffas, Thomas/0000-0001-9612-4988; Ventura-Gonzalez, Salvador/0000-0001-5246-0779; Gagnon, Louis-Guillaume/0000-0003-3000-8479; Stabile, Alberto/0000-0002-6868-8329; Heinlein, James/0000-0001-6878-9405; Sawyer, Craig/0000-0002-2027-1428; Cristinziani, Markus/0000-0003-3893-9171; Deliot, Frederic/0000-0003-0777-6031; Vadla, Knut Oddvar Hoie/0000-0001-6729-1584; Munoz Sanchez, Francisca/0000-0002-6374-458X; Yang, Hongtao/0000-0003-3554-7113; Guescini, Francesco/0000-0001-5351-2673; Iuppa, Roberto/0000-0001-5038-2762; Zorbas, Theodore Georgio/0000-0003-2073-4901; Longo, Luigi/0000-0002-2357-7043; Vasile, Matei-Eugen/0000-0001-8415-0759; Nag, Abhishek/0000-0001-6480-6079; Sopczak, Andre/0000-0001-6981-0544; Maleev, Victor/0000-0003-1028-8602; Padilla, Cristobal/0000-0001-7951-0166; Makovec, Nikola/0000-0001-5124-904X; Ghneimat, Mazuza/0000-0002-4931-2764; Qian, Jianming/0000-0003-4813-8167; Rohne, Ole Myren/0000-0001-7744-9584; Mete, Alaettin Serhan/0000-0002-5508-530X; Junggeburth, Johannes/0000-0001-7205-1171; Turra, Ruggero/0000-0001-8740-796X; Tudorache, Valentina/0000-0001-5384-3843; Burghgrave, Blake/0000-0001-5686-0948; Raine, John/0000-0002-5987-4648; Kourlitis, Vangelis/0000-0001-6568-2047; Bevan, Adrian/0000-0002-4105-9629; Sauvan, Emmanuel/0000-0003-1921-2647; Sharma, Abhishek/0000-0003-2250-4181; Vos, Marcel/0000-0001-8474-5357; Kennedy, Philip David/0000-0002-8491-2570; Wenaus, Torre/0000-0002-8678-893X; McKee, Shawn/0000-0002-4551-4502; Evans, Levi/0000-0002-4333-5084; Palestini, Sandro/0000-0002-4110-096X; Fiorini, Luca/0000-0002-5070-2735; Sato, Koji/0000-0001-8988-4065; Volkotrub, Yuriy/0000-0002-3114-3798; Pasuwan, Patrawan/0000-0003-2987-2964; Ventura, Andrea/0000-0002-3368-3413; Brandt, Oleg/0000-0001-5219-1417; Pezzullo, Gianantonio/0000-0002-6653-1555; Todorova, Sarka/0000-0003-2433-231X; Jakoubek, Tomas/0000-0001-7038-0369; Li, Shu/0000-0001-7879-3272; Nikiforou, Nikiforos/0000-0003-1267-7740; Resconi, Silvia/0000-0003-2313-4020; Falda Coelho, Luis Felipe/0000-0002-2298-3605; Shen, Qiuping/0000-0002-4085-1227; Taylor, Wendy/0000-0002-6596-9125; Chapon, Emilien/0000-0001-6968-9828; Soto, Orlando/0000-0002-8613-0310; Zerradi, Soufiane/0000-0001-9101-3226; Kaczmarska, Anna/0000-0002-8880-4120; Moreno Llacer, Maria/0000-0003-1113-3645; Kvam, Audrey/0000-0001-7243-0227; Rurikova, Zuzana/0000-0003-3051-9607; Chan, Jay/0000-0001-7069-0295; Romain, Madar/0000-0002-6875-6408; Pereira Peixoto, Ana Paula/0000-0003-3424-7338; Frattari, Guglielmo/0000-0002-7829-6564; Tlou, Humphry/0000-0002-4934-1661; Gonzalez Sevilla, Sergio/0000-0003-4458-9403; Mezquita, Costa/0000-0002-2064-2954; Hrynevich, Aliaksei/0000-0002-5411-114X; EL Moussaouy, Ali/0000-0002-9669-5374; Vranjes, Nenad/0000-0001-5415-5225; Murrone, Alessia/0000-0001-5399-2478; Britton, David/0000-0001-9998-4342; Masubuchi, Tatsuya/0000-0001-9984-8009; Yang, Tianyi/0000-0002-4996-1924; Mtintsilana, Onesimo/0000-0003-2168-4854; Hugging, Fabian/0000-0002-7472-3151; Smirnov, Sergei/0000-0002-6778-073X; Doglioni, Caterina/0000-0002-1509-0390; D'Eramo, Louis/0000-0002-4910-5378; Becherer, Fabian/0000-0003-0562-4616; Pascual Dias, Bruna/0000-0002-7673-1067; Vecchio, Valentina/0000-0002-1351-6757; Strandberg, Jonas/0000-0002-8913-0981; Takeva, Emily/0000-0003-3142-030X; Nellist, Clara/0000-0002-5171-8579; Camarri, Paolo/0000-0002-5732-5645; Grandi, Mario/0000-0002-5924-2544; Kuze, Masahiro/0000-0001-8858-8440; Teixeira-Dias, Pedro/0000-0001-9977-3836; Juste, Aurelio/0000-0002-1558-3291; Thomson, Evelyn/0000-0001-6031-2768; Nikolopoulos, Konstantinos/0000-0002-3048-489X; Atkin, Ryan/0000-0002-1972-1006; Vari, Riccardo/0000-0002-2814-1337; Gonnella, Francesco/0000-0003-0885-1654; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Pilkington, Andrew/0000-0001-8007-0778; McPherson, Robert/0000-0001-9211-7019; Feng, Minyu/0000-0002-0698-1482; Singh, Sahibjeet/0000-0001-5641-5713; Biswal, Jyoti Prakash/0000-0001-8361-2309; Dyndal, Mateusz/0000-0001-9632-6352; Franchini, Matteo/0000-0002-4554-252X; Alves, Fabio Lucio/0000-0002-1626-6255; Duda, Dominik/0000-0002-5916-3467; Zhang, Zhicai/0000-0002-1630-0986; Hank, Michael/0000-0002-4731-6120; , Alessandro/0000-0002-8224-6105; Clavijo Columbie, Jose Manuel/0000-0003-3210-1722; Ruelas Rivera, Victor Hugo/0000-0002-2116-048X; Lie, Ki/0000-0002-5779-5989; Dimitriadi, Christina/0000-0002-9605-3558; Jacques Costa, Antonio/0000-0001-6305-8400; Klein, Matthew Henry/0000-0002-9999-2534; Rozen, Yoram/0000-0001-6969-0634; Dam, Mogens/0000-0001-6278-9674; Zhang, Dengfeng/0000-0001-7335-4983; Francescato, Simone/0000-0001-5315-9275; Saoucha, Kamal/0000-0001-9150-640X; Pani, Priscilla/0000-0003-2149-3791; Safdari, Murtaza/0000-0001-8323-7318; Novak, Tadej/0000-0002-3053-0913; Argyropoulos, Spyridon/0000-0001-7748-1429; Adelman, Jahred/0000-0002-1041-3496; Les, Robert/0000-0002-8875-1399; Gilbert, Alexander Kevin/0000-0002-8813-4446; Vale, Tiago/0000-0001-8855-3520; Smirnov, Yury/0000-0002-2891-0781; wei, Yingjie/0000-0001-9725-2316; Mungo, Davide Pietro/0000-0002-2567-7857; Ducu, Otilia/0000-0001-5914-0524; Nitschke, Jan-Eric/0000-0002-0174-4816; Hu, Yifan/0000-0002-0552-3383; Gauzzi, Paolo/0000-0003-4841-5822; Mokgatitswane, Gaogalalwe/0000-0001-9878-4373; Escalier, Marc/0000-0003-4270-2775; Yamazaki, Yuji/0000-0003-3710-6995; Farrington, Sinead/0000-0001-5350-9271; Ellert, Mattias/0000-0001-5265-3175; Zamora-Saa, Jilberto/0000-0002-5030-7516; BRAHIMI, Nihal/0000-0003-0992-3509; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Weber, Michele/0000-0002-2770-9031; Wiedenmann, Werner/0000-0003-3605-3633; 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A roadmap proposal for the conservation of waterfront heritage against the impacts of climate change as a tool for sustainable development policy
No full text14th Biennale of European Towns and Town Planners in Naples, Italy Inclusive Cities and Regions – Territoires inclusifs – 22-24 April 2024[No Abstract Available
HERPETOFAUNAL DIVERSITY OF ŞANLIURFA PROVINCE (SOUTHEASTERN TURKEY) WITH COMMENTS ON THE TAXONOMIC STATUS OF Platyceps karelini IN TURKEY
No full textIn this study, we report the amphibians and reptile species from Þanlýurfa Province. We conducted fieldwork for 60 days between 2016 – 2018 and additionally, we used the observation data from previous field excursions during the period from 2005 to 2016. A total of 53 amphibians and reptiles (six anurans, three chelonians, one amphisbae-nian, twenty-one lizards, and twenty-two snake species) were reported from Þanlýurfa Province. A colubrid snake Platyceps ventromaculatus previously reported for the Turkey is misidentified P. karelini confirming that P. ven-tromaculatus does not occur in Turkey. © 2024, Folium Ltd. All rights reserved.Ministry of Agriculture and Forestry Þanlýurfa Department; Doğa Koruma Ve Milli Parklar Genel Müdürlüğü Teşkilat Yapis
Enhanced Compressive Strength of Graphene Strengthened Copper (g/Cu) Composites
No full textThis study explores the compressive mechanical properties of copper composites reinforced with graphene. Graphene was synthesized on copper powders via plasma-enhanced chemical vapor deposition. Multilayer graphene formation has been substantiated by Raman analysis. Graphene-coated copper (G/Cu) powders were then subjected to pressing and sintering to fabricate G/Cu composites. The mechanical properties of G/Cu composites were investigated under compression from room temperature up to 400 degrees C in air. The results demonstrated a substantial improvement in the mechanical properties of G/Cu composites compared to monolithic copper. Specifically, the yield strength in compression of the G/Cu composite increased by 203% at room temperature and by 190% at 200 degrees C. At 400 degrees C, the yield strength enhancement exceeded 370%. Microstructural analysis suggests that the observed enhancements in G/Cu composites can be attributed to reduced porosity, smaller grain size, and inhibited dislocation motion at the increased grain boundary area (due to refined grain size) and graphene-copper interfaces.Scientific and Technological Research Council of Turkey (TUBITAK) [118F491]The authors extend their gratitude to Professor Dr Omer Tarik Ogurtani (Middle East Technical University) for his invaluable comments. Additionally, ; Idot;kra Ucar, Ali Deniz K ; imath;rdoek, and Nevzat Duman are acknowledged for their assistance with metallographic sample preparation. This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant Number 118F491