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Search for a Heavy Charged Higgs Boson Decaying into a W Boson and a Higgs Boson in Final States with Leptons and b-Jets in S = 13 TeV pp Collisions with the ATLAS Detector
No full textThis article presents a search for a heavy charged Higgs boson produced in association with a top quark and a bottom quark, and decaying into a W boson and a 125 GeV Higgs boson h. The search is performed in final states with one charged lepton, missing transverse momentum, and jets using proton-proton collision data at s = 13 TeV recorded with the ATLAS detector during Run 2 of the LHC at CERN. This data set corresponds to a total integrated luminosity of 140 fb−1. The search is conducted by examining the reconstructed invariant mass distribution of the Wh candidates for evidence of a localised excess in the charged Higgs boson mass range from 250 GeV to 3 TeV. No significant excess of data over the expected background is observed and 95% confidence-level upper limits between 2.8 pb and 1.2 fb are placed on the production cross-section times branching ratio for charged Higgs bosons decaying into Wh. © The Author(s) 2025.Ministerio de Ciencia, Innovación y Universidades, MCIU; Agencia Nacional de Investigación y Desarrollo; BSF-NSF; BNL; Australian Research Council, ARC; Israel Academy of Sciences and Humanities; DRAC; CERN DOCT; La Caixa Banking Foundation; Centre National pour la Recherche Scientifique et Technique, CNRST; NAWA; Center for African Studies, CAS; Fundação para a Ciência e a Tecnologia, FCT; European Union, Future Artificial Intelligence Research; European Organization for Nuclear Research; Ministero dell'Università e della Ricerca, MUR; Polish National Science Centre; Georgia Health Initiative, HGF; Narodowe Centrum Nauki, NCN; Grantová Agentura České Republiky, GACR; Center for Advancing Research Impact in Society, ARIS; National Science Foundation, NSF; Baden-Württemberg Stiftung; Science and Technology Facilities Council, STFC; Horizon 2020, ICSC-NextGenerationEU; Carl Tryggers Stiftelse för Vetenskaplig Forskning; H2020 Marie Skłodowska-Curie Actions, MSCM; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, FAPERJ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Ministerio de Ciencia e Innovación, MICINN; Ministry of Science and Innovation; Istituto Nazionale di Fisica Nucleare; Ministry of Science and Higher Education; ICHEP; Leverhulme Trust; Baden-Württemberg Stiftung, BWS; Research Council of Norway; Japan Society for the Promotion of Science; Knut och Alice Wallenbergs Stiftelse; MVZI; PROMETEO; Spine Education and Research Institute, SERI; Neubauer Family Foundation, NFF; IDUB AGH; Ministry of Education Youth and Sports; Generalitat de Catalunya; Neubauer Family Foundation; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FFWF; BCKDF; Narodowa Agencja Wymiany Akademickiej, NAWA; Yerevan Physics Institute; Leverhulme Trust; ERDF; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Canada Foundation for Innovation, FCI; 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; Göran Gustafssons Stiftelse; Göran Gustafssons Stiftelser; Deutsche Forschungsgemeinschaft, DFG; United States-Israel Binational Science Foundation, BSF; Generalitat de Catalunya; European Commission, EC; European Social Fund Plus, ЕСФ; European Cooperation in Science and Technology, COST; EU-ESF; COST; CRC; Generalitat Valenciana; International Council of Shopping Centers, ICSC; RGC; Duchenne Research Fund, DRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; PRIMUS; Agencia Estatal de Investigación, AEI; ICSC; ANR; Institutul de Fizică Atomică, IFA; Natural Sciences and Engineering Research Council of Canada, CRSNG; Chinese Ministry of Science and Technology; GenT Programmes Generalitat Valenciana, Spain; Swiss National Science Foundation; Marie Skłodowska-Curie Actions; National Science and Technology Council, NSTC; EU; MINERVA, Israel; FONDECYT; Irish Rugby Football Union, IRFU; Cantons of Bern and Geneva; Agence Nationale de la Recherche; Defence Science Institute, DSI; MSTDI; MNE; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Royal Society; Minerva Foundation; Marcus och Amalia Wallenbergs minnesfond, MAW; Royal Society; CERN-CZ; National Research Foundation, NRF; Ministerstwo Edukacji i Nauki, MNiSW; FAPERJ; European Research Council; Generalitat Valenciana, GVA; CERN, CERN; BARD, BARD; Ministerstvo Školství, Mládeže a Tělovýchovy, MEYS; European Union; National Research Council Canada, NRC; Vetenskapsrådet, VR; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; DFG; AvH Foundation; Horizon 2020; Istituto Nazionale di Fisica Nucleare, INFN; British Columbia Knowledge Development Fund, BCKDF; CANARIE; Ministry of Education, Culture, Sports, Science and Technology, MEXT; UK Research and Innovation, UKRI; U.S. Department of Energy, (ECA DE-AC02-76SF00515); NCN, (UMO-2023/51/B/ST2/00920, H2020 MSCA 945339, 2023/51/B/ST2/02507, UMO-2023/49/B/ST2/04085, UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, 2021/42/E/ST2/00350, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, 2022/47/B/ST2/03059); H2020 European Research Council, CER, (ERC — 101002463); H2020 European Research Council, CER; Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (1240864, 1230987, 1230812); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT; National Natural Science Foundation of China, NNSF, (NSFC — 12175119, 12275265, NSFC-12075060); National Natural Science Foundation of China, NNSF; MCIN, (PCI2022-135018-2, RYC2019-028510-I, RYC2020-030254-I, RYC2022-038164-I, PID2021-125273NB, RYC2021-031273-I); Japan Society for the Promotion of Science, JSPS, (JP22KK0227, JP22H04944, JP23KK0245, JP22H01227); Japan Society for the Promotion of Science, JSPS; Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; North Dakota Game and Fish Department, NDGF, (CC-IN2P3); North Dakota Game and Fish Department, NDGF; NextGenerationEU, NGEU, (PE00000013); NextGenerationEU, NGEU; Swedish Research Council, (VR 2018-00482, VR 2022-04683, VR 2023-03403, 2021-03651, VR 2022-03845, 2023-04654); BARD, (101116429); European Research Council, ERC, (948254, 101089007); European Research Council, ERC; FAIR-NextGenerationEU, (PE00000013); FEDER, (IDIFEDER/2018/048); Ministry of Science and Technology of the People's Republic of China, MOST, (MOST-2023YFA1609300, MOST-2023YFA1605700); Ministry of Science and Technology of the People's Republic of China, MOST; U.S. Department of Energy, ERDA, (ECA DE-AC02-76SF00515); U.S. Department of Energy, ERDA; Czech Science Foundation, (GACR — 24-11373S); National Natural Science Foundation of China, (NSFC — 12175119); Polish National Agency for Academic Exchange, (PPN/PPO/2020/1/00002/U/00001); Ministero dell’Università e della Ricerca, (PRIN — 20223N7F8K — PNRR M4.C2.1.1); Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-22-EDIR-0002, ANR-21-CE31-0022); Agence Nationale de la Recherche, ANR; FORTE, (CZ.02.01.01/00/22_008/0004632, PRIMUS/21/SCI/017); Knut and Alice Wallenberg Foundation, (KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNSF, (RPG-2020-004, NIF-R1-231091, SNSF — PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNSF; H2020 European Research Council, (ERC — 101002463); Deutsche Forschungsgemeinschaft, (DFG — CR 312/5-2, DFG — 469666862); Carl Trygger Foundation, (CTS 22:2312); ERC, (101089007); DNSRC, (IN2P3-CNRS); European Regional Development Fund, ERDF, (IDIFEDER/2018/048); European Regional Development Fund, ERD
An Implementation of Neural Simulation-Based Inference for Parameter Estimation in ATLAS
No full textEtzion, Erez/0000-0001-6871-7794; Introzzi, Gianluca/0000-0002-1314-2580; Raine, John/0000-0002-5987-4648; Doyle, Anthony/0000-0001-6322-6195; Shapiro, Marjorie/0000-0001-8540-9654; Di Luca, Andrea/0000-0002-9074-2133; Dado, Tomas/0000-0002-7050-2669; Rebuzzi, Daniela Marcella/0000-0003-4461-3880; Ciesla, Krzysztof/0000-0003-2751-3474; Maleev, Victor/0000-0003-1028-8602; Volkotrub, Yuriy/0000-0002-3114-3798; Stevenson, Thomas/0000-0003-2399-8945; Chou, Yuan-Tang/0000-0002-2204-5731; Zenz, Seth/0000-0002-9720-1794; Mitsou, Vasiliki A./0000-0002-1533-8886; Smirnova, Oxana/0000-0003-2517-531X; Malito, Davide/0000-0002-3996-4662; Dinu, Ioan-Mihail/0000-0002-2683-7349; Panduro Vazquez, Jose Guillermo/0000-0003-2605-8940; Wang, Shudong/0000-0001-7477-4955; Li, Zhelun/0000-0001-7096-2158; Frattari, Guglielmo/0000-0002-7829-6564; Kretzschmar, Jan/0000-0002-8515-1355; Nikiforou, Nikiforos/0000-0003-1267-7740; Weber, Michele/0000-0002-2770-9031; Ali, Babar/0000-0001-8653-5556; Bona, Marcella/0000-0002-9660-580X; Kumar, Mukesh/0000-0003-3681-1588; Burghgrave, Blake/0000-0001-5686-0948; Affolder, Anthony/0000-0002-9058-7217; Zhang, Rui/0000-0002-8265-474X; Dam, Mogens/0000-0001-6278-9674; Javurkova, Martina/0000-0001-8798-808X; Ripellino, Giulia/0000-0002-4053-5144; Carlson, Benjamin/0000-0002-7550-7821; Duda, Dominik/0000-0002-5916-3467; Bevan, Adrian/0000-0002-4105-9629; Willocq, Stephane/0000-0002-4120-1453; Su, Dong/0000-0001-6980-0215; Smirnov, Sergei/0000-0002-6778-073X; Maniatis, Ioannis/0000-0002-4362-0088; Vittori, Camilla/0000-0001-9156-970X; Panizzo, Giancarlo/0000-0002-0352-4833; Gregor, Ingrid Maria/0000-0002-5976-7818; Gonella, Laura/0000-0002-4919-0808; Rompotis, Nikolaos/0000-0003-2577-1875; Yabsley, Bruce/0000-0002-2680-0474; Ricci, Ester/0000-0002-4222-9976; Gramstad, Eirik/0000-0001-5792-5352; Varni, Carlo/0000-0001-6733-4310; Merlassino, Claudia/0000-0002-5445-5938; Pascual Dominguez, Luis/0000-0003-4701-9481; Simsek, Sinem/0000-0002-9650-3846; Moreno Martinez, Carlos/0000-0002-5719-7655; Mildner, Hannes/0000-0002-0384-6955; Poreba, Aleksandra/0000-0003-1250-0865; Leitgeb, Clara Elisabeth/0000-0002-0335-503X; Komarek, Tomas/0000-0002-3047-3146; Golling, Tobias/0000-0001-8535-6687; Meloni, Federico/0000-0001-7075-2214; Chen, Hucheng/0000-0002-9936-0115; Islam, Wasikul/0000-0002-5624-5934; Artoni, Giacomo/0000-0002-3477-4499; Salvador Salas, Adrian/0000-0001-5041-5659; D'Onofrio, Monica/0000-0003-2408-5099; Saito, Masahiko/0000-0001-5564-0935; Martin-Haugh, Stewart/0000-0001-9457-1928; Vu, Ngoc Khanh/0000-0002-6251-1178; Liu, Bingxuan/0000-0002-0721-8331; Ghosh, Aishik/0000-0003-0819-1553; Feligioni, Lorenzo/0000-0002-1403-0951; Elsing, Markus/0000-0002-1213-0545; Faraj, Mohammed/0000-0001-9442-7598; Montella, Alessandro/0000-0002-5578-6333; Mueller, James/0000-0001-5099-4718; Goussiou, Anna/0000-0001-6211-7122; Camplani, Alessandra/0000-0002-6386-9788; Montejo Berlingen, Javier/0000-0001-9213-904X; Bhattarai, Prajita/0000-0001-9977-0416; Rousseau, David/0000-0001-7613-8063; Heinrich, Lukas/0000-0002-4048-7584; Du, Dongshuo/0000-0002-6758-0113; Liu, Mingyi/0000-0002-0236-5404; Leblanc, Matt/0000-0001-5977-6418; Camarda, Stefano/0000-0003-0479-7689; Lazzaroni, Massimo/0000-0002-4094-1273; Vasile, Matei-Eugen/0000-0001-8415-0759; Varvell, Kevin/0000-0003-1017-1295; Gutierrez Zagazeta, Luis Felipe/0000-0003-0374-1595; Guo, Yuxiang/0000-0002-6027-5132; White, Martin/0000-0001-5474-4580; Moreno Llacer, Maria/0000-0003-1113-3645; Beacham, James/0000-0003-3623-3335; Marjanovic, Marija/0000-0002-4468-0154; Gauzzi, Paolo/0000-0003-4841-5822; Lopez Solis, Alvaro/0000-0002-0511-4766; Maeda, Junpei/0000-0002-9084-3305; Cristoforetti, Marco/0000-0002-0127-1342; Li, Liang/0000-0001-6411-6107; Gonzalez Suarez, Rebeca/0000-0002-6126-7230; Tariq, Khuram/0000-0002-0584-8700; Dell'Acqua, Andrea/0000-0003-2453-7745; Thompson, Emily Anne/0000-0001-7050-8203; Sciandra, Andrea/0000-0001-7163-501X; Beretta, Matteo Mario/0000-0002-7026-8171; Nitika, Nitika/0000-0003-0576-3122; Doglioni, Caterina/0000-0002-1509-0390; Petersen, Troels/0000-0003-0221-3037; Garcia, Carmen/0000-0003-1625-7452; Mete, Alaettin Serhan/0000-0002-5508-530X; Hoppesch, Matthew/0000-0002-7773-3654; Mokgatitswane, Gaogalalwe/0000-0001-9878-4373; Barr, Alan/0000-0002-3533-3740; Hank, Michael/0000-0002-4731-6120; Haley, Joseph/0000-0002-6938-7405; Umaka, Ejiro/0000-0001-7725-8227; Carmignani, Joseph (Joe)/0000-0002-1705-1061; El Moussaouy, Ali/0000-0002-9669-5374; Das, Sruthy Jyothi/0000-0003-2693-3389; Lanza, Agostino/0000-0003-4980-6032; Lari, Tommaso/0000-0002-1388-869X; Zerradi, Soufiane/0000-0001-9101-3226; Hoya, Joaquin/0000-0002-7562-0234; Gorisek, Andrej/0000-0002-3903-3438; Stark, Giordon/0000-0001-6616-3433; Filthaut, Frank/0000-0003-3338-2247; Chevalier, Laurent/0000-0003-3762-7264; Mungo, Davide Pietro/0000-0002-2567-7857; Alderweireldt, Sara/0000-0002-8224-7036; Escobar Ibanez, Carlos/0000-0003-4442-4537; Gaudio, Gabriella/0000-0002-6833-0933; Olivares, Sebastian/0000-0003-4616-6973; Barakat, Marawan/0000-0001-5740-1866; Lewicki, Maciej Piotr/0000-0002-8972-3066; Wang, Zirui/0000-0002-0928-2070; Taylor, Wendy/0000-0002-6596-9125; Schopf, Elisabeth/0000-0002-9340-2214; Dong, Binbin/0000-0002-6075-0191; Pereira Sanchez, Laura/0000-0001-7913-3313; Poveda, Joaquin/0000-0001-8144-1964; Miu, Ovidiu/0000-0002-0287-8293; Sampsonidou, Despoina/0000-0003-0384-7672; Ali, Shahzad/0000-0001-5216-3133; Dziedzic, Bartosz/0000-0002-0805-9184; Citron, Zvi/0000-0003-1831-6452; Liu, Xiaotian/0000-0003-1366-5530; Sopczak, Andre/0000-0001-6981-0544; Bhatta, Somadutta/0000-0002-9045-3278; Potti, Harish/0000-0002-0800-9902; Gustavino, Giuliano/0000-0002-5938-4921; Alves, Fabio Lucio/0000-0002-1626-6255; Sandesara, Jay/0000-0002-6016-8011; Sadrozinski, Hartmut/0000-0003-0019-5410; Jones, Eleanor/0000-0001-6289-2292; Martin Dit Latour, Bertrand/0000-0003-3420-2105; Tzovara, Eftychia/0000-0002-0410-0055; Duperrin, Arnaud/0000-0002-5789-9825; Connell, Simon/0000-0001-6000-7245; Cai, Yizhou/0000-0003-2246-7456; Unal, Guillaume/0000-0001-8130-7423; Bhattacharya, Deb Sankar/0000-0003-3837-4166; Muanza, Steve/0000-0002-1786-2075; Quinn, Ryan/0000-0002-0879-6045; Thomson, Evelyn/0000-0001-6031-2768; Berger, Nicolas/0000-0002-7963-9725; Fanti, Marcello/0000-0002-8773-145X; Onyisi, Peter/0000-0003-4201-7997; Vigl, Matthias/0000-0003-2281-3822; Wu, Xin/0000-0001-7655-389X; Iuppa, Roberto/0000-0001-5038-2762; Worm, Steven/0000-0002-3865-4996; Klein, Matthew Henry/0000-0002-9999-2534; Navarro Gonzalez, Josep/0000-0002-4172-7965; Pater, Joleen/0000-0002-0598-5035; Ballabene, Eric/0000-0001-9700-2587; Angerami, Aaron/0000-0001-7834-8750; Weber, Christian/0000-0002-8659-5767; Sinha, Sukanya/0000-0002-2438-3785; Rodriguez Bosca, Sergi/0000-0002-4571-2509; Clark, Allan/0000-0001-8341-5911; Bogavac, Danijela/0000-0003-2138-9062; Albert, Justin/0000-0003-0253-2505; Buckley, Andy/0000-0001-8355-9237; Dell'Asta, Lidia/0000-0002-9601-4225; Rummler, Andre/0000-0001-8945-8760; Goossens, Luc/0000-0002-2536-4498; Gonzalez Sevilla, Sergio/0000-0003-4458-9403; Ould-Saada, Farid/0000-0002-9404-835X; Coelli, Simone/0000-0002-5145-3646; Wendland, Bjorn/0000-0003-1623-3899; Koffas, Thomas/0000-0001-9612-4988; Ozturk, Nurcan/0000-0003-1125-6784; Gwilliam, Carl/0000-0002-9401-5304; Stockton, Mark/0000-0001-9679-0323; Zhang, Zhiqing/0000-0002-7853-9079; Vecchio, Valentina/0000-0002-1351-6757; Bouquet, Romain/0000-0001-9683-7101; Cheong, Sanha/0000-0002-2797-6383; Onofre, Antonio/0000-0003-3471-2703; Chan, Jay/0000-0001-7069-0295; Hulsken, Raphael/0000-0002-0095-1290; Dao, Valerio/0000-0003-1645-8393; Valero, Alberto/0000-0002-9776-5880; Schmitt, Christian/0000-0003-1471-690X; Tanaka, Reisaburo/0000-0002-9929-1797; Nisati, Aleandro/0000-0002-5080-2293; Jackson, Paul/0000-0002-0847-402X; Balasubramanian, Rahul/0000-0001-5840-1788; Ran, Kunlin/0000-0003-3119-9924; Bellos, Panagiotis/0000-0003-2049-9622; Yang, Tianyi/0000-0002-4996-1924; Cremonini, Davide/0000-0003-1687-3079; Zhang, Yulei/0000-0001-6274-7714; Costanzo, Davide/0000-0003-4920-6264; Chwastowski, Janusz/0000-0002-6190-8376; Da Fonseca Pinto, Joao Victor/0000-0003-1746-1914; Kodys, Peter/0000-0002-8644-2349; Bortoletto, Daniela/0000-0002-1287-4712; Grivaz, Jean-Francois/0000-0003-4793-7995; Todorova, Sarka/0000-0003-2433-231X; De La Torre Perez, Hector/0000-0002-4516-5269; Kvam, Audrey/0000-0001-7243-0227; Wei, Yingjie/0000-0001-9725-2316; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Chu, Ming-Chung/0000-0002-1971-0403; Boudet, Leo/0000-0002-3613-3142; Moss, Joshua/0000-0002-6729-4803; Konstantinidis, Nikolaos/0000-0002-4140-6360; Przybycien, Mariusz/0000-0002-9235-2649; Grosse-Knetter, Jorn/0000-0003-3085-7067; Cindro, Vladimir/0000-0002-2037-7185; Uysal, Zekeriya/0000-0002-7110-8065; Jia, Jiangyong/0000-0002-5725-3397; Moser, Brian/0000-0001-6750-5060; Resconi, Silvia/0000-0003-2313-4020; Pollard, Christopher/0000-0002-3690-3960; Ernani Martins Neto, Daniel/0000-0003-2793-5335; Belfkir, Mohamed/0000-0001-9974-1527; Aad, Georges/0000-0002-6665-4934; Kowalewski, Robert/0000-0002-7314-0990; Aoki, Masato/0000-0001-7498-0097; Genest, Marie-Helene/0000-0002-4098-2024; Brahimi, Nihal/0000-0003-0992-3509; Romano, Marino/0000-0002-6609-7250; Warburton, Andreas/0000-0002-2298-7315; Stanislaus, Beojan/0000-0001-9007-7658; Ryzhov, Andrey/0000-0002-0623-7426; Parajuli, Santosh/0000-0003-1499-3990; Sedlaczek, Kevin/0000-0003-2052-2386; Longarini, Iacopo/0000-0002-0352-2854Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan over the entire theoretical phase space under consideration, or where binning data into histograms could result in a loss of sensitivity. This work develops a NSBI framework for statistical inference, using neural networks to estimate probability density ratios, which enables the application to a full-scale analysis. It incorporates a large number of systematic uncertainties, quantifies the uncertainty due to the finite number of events in training samples, develops a method to construct confidence intervals, and demonstrates a series of intermediate diagnostic checks that can be performed to validate the robustness of the method. As an example, the power and feasibility of the method are assessed on simulated data for a simplified version of an off-shell Higgs boson couplings measurement in the four-lepton final states. This approach represents an extension to the standard statistical methodology used by the experiments at the Large Hadron Collider, and can benefit many physics analyses.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.CER
The Role of Expectations in the Inflation Process in a Period of Exchange Rate Shock
No full textIn this paper, we analyse the role of inflation expectations in inflation dynamics in periods of rapid and large exchange rate shocks, using evidence from the experience of T ; uuml;rkiye during the exchange rate shock in 2018. We employ a time-varying parameter Phillips curve model to focus on the changes in inflation dynamics and jointly study the formation of inflation expectations to investigate further how the setting of inflation expectations evolved. Our results reveal that the interaction between inflation expectations and the exchange rate movements further amplifies their respective impacts on inflation
Turquaz at Genai Detection Task 1: Dr. Perplexity Or: How I Learned To Stop Worrying and Love the Finetuning
No full textThis paper details our methods for addressing Task 1 of the GenAI Content Detection shared tasks, which focus on distinguishing AI-generated text from human-written content. The task comprises two subtasks: Subtask A, centered on English-only datasets, and Subtask B, which extends the challenge to multilingual data. Our approach uses a fine-tuned XLM-RoBERTa model for classification, complemented by features including perplexity and TF-IDF. While perplexity is commonly regarded as a useful indicator for identifying machine-generated text, our findings suggest its limitations in multi-model and multilingual contexts. Our approach ranked 6th in Subtask A, but a submission issue left our Subtask B unranked, where it would have placed 23rd. © 2025 International Conference on Computational Linguistics
ATLAS Searches for Additional Scalars and Exotic Higgs Boson Decays with the LHC Run 2 Dataset
No full textBruschi, Marco/0000-0002-4319-4023; Tishelman-Charny, Abraham/0000-0002-7332-5098; Beau, Tristan/0000-0002-2022-2140; Winter, Benedict Tobias/0000-0001-9606-7688; Di Luca, Andrea/0000-0002-9074-2133; Ali, Dr Hafiz Muhammad/0000-0002-9885-5933; Mindur, Bartosz/0000-0002-5511-2611; Bhatta, Somadutta/0000-0002-9045-3278; Doglioni, Caterina/0000-0002-1509-0390; Merlassino, Claudia/0000-0002-5445-5938; Cheong, Sanha/0000-0002-2797-6383; Kirk, Julie/0000-0001-8096-7577; Citron, Zvi/0000-0003-1831-6452; Lacasta, Carlos/0000-0002-2623-6252; Terzo, Stefano/0000-0003-3388-3906; Manhaes De Andrade Filho, Luciano/0000-0003-1792-6793; Vincter, Manuella/0000-0002-5338-8972; Kontaxakis, Pantelis/0000-0002-4860-5979; Bella, Gideon/0000-0002-4009-0990; Klein, Lucas/0000-0002-0145-4747; Sampsonidou, Despoina/0000-0003-0384-7672; Alimonti, Gianluca/0000-0002-7128-9046; Leblanc, Matt/0000-0001-5977-6418; Islam, Wasikul/0000-0002-5624-5934; Camplani, Alessandra/0000-0002-6386-9788; Koch, Simon Florian/0000-0002-2676-2842; Oh, Alexander/0000-0001-9025-0422; Hance, Michael/0000-0001-8392-0934; Longo, Riccardo/0000-0003-3984-6452; Aboulhorma, Asmaa/0000-0002-9987-2292; Mcpherson, Robert/0000-0001-9211-7019; Sahinsoy, Merve/0000-0002-7400-7286; Gaudio, Gabriella/0000-0002-6833-0933; Kumar, Mukesh/0000-0003-3681-1588; Morii, Masahiro/0000-0001-9324-057X; Pettee, Mariel/0000-0001-9208-3218; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Jia, Jiangyong/0000-0002-5725-3397; Beck, Hans Peter/0000-0001-7212-1096; Vecchio, Valentina/0000-0002-1351-6757; Martoiu, Sorin/0000-0002-4963-9441; Bahmani, Marzieh/0000-0003-4173-0926; Mlinarevic, Marin/0000-0003-3587-646X; Schmitt, Stefan/0000-0001-8387-1853; Fox, Harald/0000-0003-3089-6090; Haley, Joseph/0000-0002-6938-7405; Rompotis, Nikolaos/0000-0003-2577-1875; Meloni, Federico/0000-0001-7075-2214; Azuelos, Georges/0000-0003-4241-022X; Redlinger, George/0000-0002-6437-9991; Held, Alexander/0000-0002-8924-5885; Mete, Alaettin Serhan/0000-0002-5508-530X; Kaji, Toshiaki/0000-0002-6532-7501; D'Uffizi, Matteo/0000-0003-2499-1649; Rousseau, David/0000-0001-7613-8063; Pleier, Marc-Andre/0000-0002-9461-3494; Konstantinidis, Nikolaos/0000-0002-4140-6360; Quinn, Ryan/0000-0002-0879-6045; Kretzschmar, Jan/0000-0002-8515-1355; Mcgovern, Robert/0000-0001-9139-6896; Juzek, Monika/0000-0002-7269-9194; Elsing, Markus/0000-0002-1213-0545; Worm, Steven/0000-0002-3865-4996; Mondal, Santu/0000-0002-6965-7380; Price, Darren/0000-0003-2750-9977; Stanislaus, Beojan/0000-0001-9007-7658; Dong, Qichen/0000-0002-0117-7831; Cheu, Elliott/0000-0002-2562-9724; Kowalewski, Robert/0000-0002-7314-0990; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Nikolopoulos, Konstantinos/0000-0002-3048-489X; Berta, Peter/0000-0003-0780-0345; Hoppesch, Matthew/0000-0002-7773-3654; Munoz Sanchez, Francisca/0000-0002-6374-458X; De La Torre Perez, Hector/0000-0002-4516-5269; Su, Dong/0000-0001-6980-0215; Smirnova, Oxana/0000-0003-2517-531X; Keeler, Richard/0000-0002-0510-4189; Calafiura, Paolo/0000-0002-1692-1678; Stark, Giordon/0000-0001-6616-3433; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Martinez-Agullo, Pablo/0000-0001-8925-9518; Lloyd, Stephen/0000-0002-5073-2264; Novak, Tadej/0000-0002-3053-0913; Butterworth, Jonathan/0000-0002-5905-5394; Cristoforetti, Marco/0000-0002-0127-1342; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Grinstein, Sebastian/0000-0002-6460-8694; Gwilliam, Carl/0000-0002-9401-5304; Mitsou, Vasiliki A./0000-0002-1533-8886; Mckee, Shawn/0000-0002-4551-4502;This report reviews the published results of searches for possible additional scalar particles and exotic decays of the Higgs boson performed by the ATLAS Collaboration using up to 140 fb(-1) of 13 TeV proton-proton collision data collected during Run 2 of the Large Hadron Collider. Key results are examined, and observed excesses, while never statistically compelling, are noted. Constraints are placed on parameters of several models which extend the Standard Model, for example by adding one or more singlet or doublet fields, or offering exotic Higgs boson decay channels. Summaries of new searches as well as extensions of previous searches are discussed. These new results have a wider reach or attain stronger exclusion limits. New experimental techniques that were developed for these searches are highlighted. Search channels which have not yet been examined are also listed, as these provide insight into possible future areas of exploration. (c) 2024 CERN for the benefit of the ATLAS Collaboration. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).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, Switzerland; 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; 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; PRIMUS 21/SCI/017, CERN-CZ and FORTE, 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 CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987); 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: H2020 European Research Council (ERC -101002463); European Union: European Research Council (ERC -948254, 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, Germany (DFG -469666862, DFG -CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universita e della Ricerca (PRIN -20223N7F8K -PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020 -VI.Veni.202.179); Norway: Research Council of Norway (RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no 9722), 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, UMO-2023/49/B/ST2/04085); Slovenia: Slovenian Research Agency (ARIS grant 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), PROMETEO and GenT Programmes Generalitat Valenciana (CIDEGENT/2019/023, 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 2021-03651), Knut and Alice Wallenberg Foundation, Sweden (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF -PCEFP2_194 658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004), Royal Society, United Kingdom (NIF-R1-231091); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; CERN, Switzerland; 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; 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 [PRIMUS 21/SCI/017]; FORTE, 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, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO [CIDEGENT/2019/023, CIDEGENT/2019/027]; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091, ECA DE-AC02-76SF00515]; Leverhulme Trust, United Kingdom; CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1190886]; FONDECYT [1230987]; 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; 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, Germany [DFG -469666862, DFG -CR 312/5-2]; Ministero dell'Universita e della Ricerca; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, JP22KK0227, RCN-314472, 9722]; 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; FEDER [IDIFEDER/2018/048, NextGenEU PCI2022-135018-2]; MICIN FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; 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, Sweden [KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, SNSF -PCEFP2_194 658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; Neubauer Family Foundatio
Dual Interferometric Interrogation for Dfb Laser-Based Acoustic Sensing
No full textAcoustic sensing has many applications in engineering, one of which is fiber-optic hydrophones (FOHs). Conventional piezoelectric hydrophones face limitations related to size, electromagnetic interference, corrosion, and narrow operating bandwidth. Fiber-optic hydrophones, particularly those employing distributed feedback (DFB) lasers, offer a compelling alternative due to their mechanical flexibility, resistance to harsh conditions, and broad detection range. DFB lasers are highly sensitive to external perturbations such as temperature and strain, enabling the precise detection of underwater acoustic signals by monitoring the resultant shifts in lasing wavelength. This paper presents an enhanced interrogation mechanism that leverages Mach-Zehnder interferometers to translate wavelength shifts into measurable phase deviations, thereby providing cost-effective and high-resolution phase-based measurements. A dual interferometric setup is integrated with a standard demodulation algorithm to extend the dynamic range of these sensing systems. The experimental results demonstrate a substantial improvement in performance, with the dynamic range increasing from 125 dB to 139 dB at 1 kHz without degrading the noise floor. This enhancement significantly expands the utility of FOH-based systems in underwater environments, supporting applications such as underwater surveillance, submarine communication, and marine ecosystem monitoring
The Political Economy of Turkey-Iran Relations: a Discussion of Variegated Capitalism and Underperformance After the Jcpoa
No full text[No abstract available
Görsel Sanatlar Eğitiminde Görsel Kültürün Üstün Yetenekli Öğrencilerin Eleştirel Düşünme Becerilerine Katkısı
No full textBu araştırmada görsel sanatlar eğitiminde görsel kültür temelli etkinliklerin üstün yetenekli öğrencilerin eleştirel düşünme sürecine yansımaları ve katkılarının değerlendirilmesi amaçlanmıştır. Araştırma üstün yetenekli öğrencileri desteklemek için kurulan ve okul sonrası hizmet veren İzmit Bilim ve Sanat Merkezinde (BİLSEM) resim yetenek alanındaki 10-13 yaş grubundaki öğrencilerle yürütülmüştür. Eylem araştırması ile desenlenen araştırmanın verileri, COVID-19 salgını nedeniyle uzaktan eğitimde toplanmıştır. Eylem planları BİLSEM resim yetenek alanındaki 20 öğrencinin tamamına uygulanmış ancak veriler, araştırma için gönüllü olan sekizi kız, ikisi erkek toplam 10 odak öğrencisinden alınmıştır. Araştırmanın verileri; gözlem, görüşmeler, video kayıtları, araştırmacı günlükleri ve doküman incelemesi şeklinde farklı araçlarla elde edilmiştir. Betimsel analiz yaklaşımıyla çözümlenen veriler ve elde edilen bulgular, araştırmanın sorularına bağlı olarak yorumlanmıştır. Elde edilen verilerden “Ortamı Yansıt”, “Eğlen Öğren”, “Fark Et”, “Üret ve Yansıt”, “Süreci Yansıt” şeklinde beş temaya ulaşılmıştır. Araştırmayla öğrencilerin, eğlenerek öğrenmeleri, toplumsal ve kültürel konulardaki farkındalıklarına bağlı olarak eleştirel sorgulamalarının artması, dijital temelli araç ve uygulamalara dayalı sanatsal çalışmalar yapmaları gibi farklı beceri gelişimleri sağlanmıştır
A Quantum Resistance Memristor for an Intrinsically Traceable International System of Units Standard
No full textThe recent revision of the International System of Units (SI)-which fixed the numerical values of nature's fundamental constants-has opened new perspectives for practical realizations of SI units. Here we demonstrate an intrinsic resistance standard based on memristive nanoionic cells that operate in air at room temperature and are directly accessible to end users. By driving these devices into the quantum conductance regime and using an electrochemical-polishing-based programming strategy, we achieved quantum conductance levels that can be exploited as intrinsic standard values. An interlaboratory comparison confirmed metrological consistency, with deviations of -3.8% and 0.6% from the agreed SI values for the fundamental quantum of conductance, G0, and 2G0, respectively. These results lay the groundwork for the implementation of national metrology institute services on chip and for the development of self-calibrating measurement systems with zero-chain traceability.EMPIR, 20FUN06 MEMQuD [20FUN06, EMPIR 20FUN06]; European project MEMQuD; European Metrology Programme for Innovation and Research (EMPIR); European UnionThis work was supported by the European project MEMQuD, code 20FUN06. This project (EMPIR 20FUN06 MEMQuD) has received funding from the European Metrology Programme for Innovation and Research (EMPIR) cofinanced by the participating states and from the European Union's Horizon 2020 research and innovation programme
Clutter-Aware Target Detection for ISAC in a Millimeter-Wave Cell-Free Massive MIMO System
No full textHuawei; IEEE; IEEE Signal Processing SocietyIn this paper, we investigate the performance of an integrated sensing and communication (ISAC) system within a cell-free massive multiple-input multiple-output (MIMO) system. Each access point (AP) operates in the millimeter-wave (mmWave) frequency band. The APs jointly serve the user equipments (UEs) in the downlink while simultaneously detecting a target through dedicated sensing beams directed toward a reconfigurable intelligent surface (RIS). Although the AP-RIS, RIS-target, and AP-target channels have both line-of-sight (LoS) and non-line-of-sight (NLoS) parts, only knowledge of the LoS paths is assumed to be available. A key contribution of this study is the consideration of clutter, which degrades the target detection performance if not handled. We propose an algorithm to alternatively optimize the transmit power allocation and the RIS phase-shift matrix, maximizing the target signal-to-clutter-plus-noise ratio (SCNR) while ensuring a minimum signal-to-interference-plus-noise ratio (SINR) for the UEs. Numerical results demonstrate that exploiting the clutter subspace significantly enhances detection probability, particularly at high clutter-to-noise ratios, and reveal that an increased number of transmit side clusters impairs detection performance. Finally, we highlight the performance gains achieved using a dedicated sensing beam. © 2025 Elsevier B.V., All rights reserved