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Performance of the Reconstruction of Large Impact Parameter Tracks in the Inner Detector of Atlas
Searches for long-lived particles (LLPs) are among the most promising avenues for discovering physics beyond the Standard Model at the Large Hadron Collider (LHC). However, displaced signatures are notoriously difficult to identify due to their ability to evade standard object reconstruction strategies. In particular, the ATLAS track reconstruction applies strict pointing requirements which limit sensitivity to charged particles originating far from the primary interaction point. To recover efficiency for LLPs decaying within the tracking detector volume, the ATLAS Collaboration employs a dedicated large-radius tracking (LRT) passwith loosened pointing requirements. During Run 2 of the LHC, the LRT implementation produced many incorrectly reconstructed tracks and was therefore only deployed in small subsets of events. In preparation for LHC Run 3, ATLAS has significantly improved both standard and large-radius track reconstruction performance, allowing for LRT to run in all events. This development greatly expands the potential phase-space of LLP searches and streamlines LLP analysis workflows. This paper will highlight the above achievement and report on the readiness of the ATLAS detector for track-based LLP searches in Run 3.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, Netherlands; Morocco, Netherlands; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE, USA; NSF, USA; EU-ESF, Greece; 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 and PROMETEO, Spain; GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society and Leverhulme Trust, United KingdomWe thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We 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 andMPG, 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; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020 andMarie 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; NCNandNAWA, 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. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CCIN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NLT1 (Netherlands), PIC (Spain), ASGC (Taiwan), 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. [61]
Examining the Relation Between Attending the Language Courses and Well-Being of the Attending Refugees
The purpose of this study is to examine the relation between attending a language course and well-being of the attending refugees. The study adopts a mixed-methods approach, including both qualitative and quantitative data collection and analysis methods. The study participants consist of adult refugees attending a Turkish language course. Data collection is done through semi-structured interviews and standardised scales measuring well-being and resilience. The theoretical and conceptual framework of the study provides an overview of forced migration, international legal frameworks, migration and asylum in the context of Türkiye, migration network theory and the impact of forced displacement on forced migrants. Furthermore, the literature on well-being and resilience is extensively reviewed, covering their definitions, components and associated factors. The thematic analysis of the data has identified multiple themes that offer an insight to the participants' experience of being a refugee in relation to their well-being and resilience with the quantitative data collected through the scales. As a result it was concluded that attending a language course did have a positive effect on the well-being of the participants.Bu çalışmanın amacı, bir dil kursuna katılmak ile kursa katılan mültecilerin iyi olma hali arasındaki ilişkiyi incelemektir. Çalışma, hem nitel hem de nicel veri toplama ve analiz yöntemlerini içeren karma yöntem yaklaşımını benimsemektedir. Çalışmanın katılımcıları, Türkçe dil kursuna devam eden yetişkin mültecilerden oluşmaktadır. Veri toplama, yarı yapılandırılmış mülakatlar ile iyi olma hali ve dayanıklılığı ölçen standartlaştırılmış ölçekler aracılığıyla gerçekleştirilmiştir. Çalışmanın teorik ve kavramsal çerçevesi, zorunlu göç, uluslararası yasal çerçeveler, Türkiye bağlamında göç ve zorunlu göç, göç ağı teorisi ve zorunlu yerinden edilmenin zorunlu göçmenler üzerindeki etkisine genel bir bakış sunmaktadır. Ayrıca, iyi olma hali ve dayanıklılık literatürü kapsamlı bir şekilde gözden geçirilmiş, tanımları, bileşenleri ve ilişkili faktörleri ele alınmıştır. Verilerin tematik analizi, ölçekler aracılığıyla toplanan nicel verilerle birlikte, katılımcıların iyi olma hali ve dayanıklılıkları ile ilişkili olarak mülteci olma deneyimlerine dair bir içgörü sunan birden fazla tema belirlemiştir. Sonuç olarak, bir dil kursuna katılmanın katılımcıların iyi olma hali üzerinde olumlu bir etkisi olduğu sonucuna varılmıştır
Differential and Linear Cryptanalysis of Ivlbc Via Milp Modeling
16th International Conference on Information Security and Cryptology, ISCTURKEY 2023 -- 18 October 2023 through 19 October 2023 -- 195312Involutive Lightweight Block Cipher (IVLBC) is a recently proposed SPN-type block cipher. The intended platform for this cipher is the Internet of Things (IoT), and its performance is promising for both software and hardware. Preliminary differential and linear cryptanalysis are conducted via Mixed-Integer Linear Programming (MILP), an automated tool in the design paper. In this paper, we employ the MILP approach to identify the best linear and differential characteristics of IVLBC. For differential cryptanalysis, we discover a characteristic with a probability of 2-46 over 7 rounds of IVLBC, while in linear cryptanalysis, we identify a characteristic with a bias of 2-24, again for 7 rounds of the cipher. These results provide the best single-key differential and linear distinguishers of this cipher in the literature. © 2023 IEEE
Measurement of the Higgs Boson Mass With H → Γγ Decays in 140 Fb−1 of S=13 Tev Pp Collisions With the Atlas Detector
The mass of the Higgs boson is measured in the H→γγ decay channel, exploiting the high resolution of the invariant mass of photon pairs reconstructed from the decays of Higgs bosons produced in proton–proton collisions at a centre-of-mass energy s=13 TeV. The dataset was collected between 2015 and 2018 by the ATLAS detector at the Large Hadron Collider, and corresponds to an integrated luminosity of 140 fb−1. The measured value of the Higgs boson mass is 125.17±0.11(stat.)±0.09(syst.) GeV and is based on an improved energy scale calibration for photons, whose impact on the measurement is about four times smaller than in the previous publication. A combination with the corresponding measurement using 7 and 8 TeV pp collision ATLAS data results in a Higgs boson mass measurement of 125.22±0.11(stat.)±0.09(syst.) GeV. With an uncertainty of 1.1 per mille, this is currently the most precise measurement of the mass of the Higgs boson from a single decay channel. © 2023 The Author(s)IN2P3-CNRS; CC-IN2P3; 2014-2021; SCI/013; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; Alabama Space Grant Consortium, ASGC; Brookhaven National Laboratory, BNL; Karlsruhe Institute of Technology, KIT; H2020 Marie Skłodowska-Curie Actions, MSCA; Multiple Sclerosis Scientific Research Foundation, MSSRF; CERN; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Science and Technology Facilities Council, STFC; Leverhulme Trust; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; National Stroke Foundation, NSF; Neurosurgical Research Foundation, NRF; Helmholtz-Gemeinschaft, HGF; Minerva Foundation; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, JSPS; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Ministry of Science and Technology of the People's Republic of China, MOST; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; Ministerio de Ciencia e Innovación, MICINN; Centre National pour la Recherche Scientifique et Technique, CNRST; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Horizon 2020; British Columbia Knowledge Development Fund, BCKDF: 21/SCI/017; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Narodowa Agencja Wymiany Akademickiej, NAWA; Institutul de Fizică Atomică, IFA; Agencia Nacional de Investigación y Desarrollo, ANID; Royal Society of South Australia, RSSA; Irish Rugby Football Union, IRF
Calibration of the Light-Flavour Jet Mistagging Efficiency of the B-Tagging Algorithms With Z+jets Events Using 139 Fb - 1 of Atlas Proton–proton Collision Data at √s=13 Tev
The identification of b-jets, referred to as b-tagging, is an important part of many physics analyses in the ATLAS experiment at the Large Hadron Collider and an accurate calibration of its performance is essential for high-quality physics results. This publication describes the calibration of the light-flavour jet mistagging efficiency in a data sample of proton–proton collision events at s=13 TeV corresponding to an integrated luminosity of 139 fb - 1 . The calibration is performed in a sample of Z bosons produced in association with jets. Due to the low mistagging efficiency for light-flavour jets, a method which uses modified versions of the b-tagging algorithms referred to as flip taggers is used in this work. A fit to the jet-flavour-sensitive secondary-vertex mass is performed to extract a scale factor from data, to correct the light-flavour jet mistagging efficiency in Monte Carlo simulations, while simultaneously correcting the b-jet efficiency. With this procedure, uncertainties coming from the modeling of jets from heavy-flavour hadrons are considerably lower than in previous calibrations of the mistagging scale factors, where they were dominant. The scale factors obtained in this calibration are consistent with unity within uncertainties. © 2023, The Author(s).IN2P3-CNRS; 2014-2021; SCI/013; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; CRC Health Group, CRC: 21/SCI/017; Canarie; H2020 Marie Skłodowska-Curie Actions, MSCA; Multiple Sclerosis Scientific Research Foundation, MSSRF; CERN; Compute Canada; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Leverhulme Trust; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; National Stroke Foundation, NSF; Neurosurgical Research Foundation, NRF; Helmholtz-Gemeinschaft, HGF; Minerva Foundation; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, KAKEN; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Ministry of Science and Technology of the People's Republic of China, MOST; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; Ministerio de Ciencia e Innovación, MICINN; Centre National pour la Recherche Scientifique et Technique, CNRST; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Horizon 2020; British Columbia Knowledge Development Fund, BCKDF; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Narodowa Agencja Wymiany Akademickiej, NAWA; Institutul de Fizică Atomică, IFA; Agencia Nacional de Investigación y Desarrollo, ANID; Royal Society of South Australia, RSSA; Irish Rugby Football Union, IRFUWe thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We 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; ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkey; STFC, UK; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-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; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), 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. []
Design of Subwavelength Confinement Waveguides at 1 Thz Band
In this paper, we present the design and simulation results of the Terahertz Subwavelength Confinement Waveguides (TSCW) operating at 1 THz. The design of the TSCWs includes CPW-to-TSCW transition circuits and the Spoof Surface Plasmon Polariton (SSPP)-based waveguides. The best-case simulation results exhibit return loss and insertion loss of -13.86 dB and -1.72 dB for the back-to-back (b-to-b) transition circuit and -26.5 dB and -4.66 dB for the TSCW with a total length of 267 µm at 1 THz, respectively
Türkiye Radyo Televizyon Kurumu'nun (trt) ve Özel Tv Kanallarının Kimlik Jeneriklerinin Görsel İletişim Tasarımı Bağlamında Karşılaştırılmalı Olarak İncelenmesi
Günümüzde kimlik jenerikleri gelişen teknolojilerin sunduğu imkanlarla ve iletişim, pazarlama, hareketli grafik tasarım gibi farklı alanlarla işbirliği halinde TV kanalları açısından önemini gittikçe arttırmaktadır. Görsel iletişim tasarımı bağlamında TRT (TRT1, TRT2, TRT Spor, TRT Çocuk) ve özel TV kanallarının (TV8, Kanal D, Fox, Show TV, ATV, Star TV) kimlik jeneriklerinin karşılaştırmalı incelemesini sunan bu çalışmada jenerikler Roland Barthes'ın göstergebilimsel çözümleme yöntemi aracılığıyla incelenmiştir. Çalışmanın bulguları, görsel iletişim tasarımı açısından karşılaştırıldığında TRT kanalları ile özel kanalların kimlik jeneriklerinde tasarım ve kullanılan görsel dil açısından farklılıklar olduğunu göstermektedir. TRT kanalları ile özel kanalların kimlik jeneriği tasarımlarında renk paleti, görsel efektler, müzik, ses, tasarım üslubu açısından farklılıklar bulunmaktadır. TRT kanallarının kimlik jeneriklerinde müzik, destinasyon seçimi (Kapadokya, Göbeklitepe), önemli günlerin temsili (milli bayramlar), görseller (Türk bayrağı, sekiz köşeli yıldız) bağlamında milli unsurların ön plana çıktığı görülmektedir.In today's world, identity titles are increasingly gaining importance for TV channels through the opportunities offered by evolving technologies and in collaboration with various fields such as communication, marketing, and motion graphic design. In this study, which presents a comparative analysis of the identity titles of TRT (TRT1, TRT2, TRT Sports, TRT Kids) and private TV channels (TV8, Kanal D, Fox, Show TV, ATV, Star TV) in the context of visual communication design, the titles were examined using Roland Barthes' semiotic analysis method. When the findings of the study are compared from visual communication design framework it can be seen that there are differences between title designs of TRT channels and private channels in terms of design and visual language. There are differences between TRT Channels and private channels regarding colour pallette, visual effects, music sound, and design style. In the identity title designs of TRT channels, it is seen that national elements come to the fore in the context of music, destination selection (Cappadocia, Göbeklitepe), representation of important days (national bayrams), visuals (Turkish flag, eight-pointed star)
Inefficiency of Random Serial Dictatorship Under Incomplete Information
We study the problem of allocating n objects to n agents without monetary transfers in a setting where each agent's preference over objects is private. We assume that each agent's value vector (values for n objects) is independently drawn from an exchangeable distribution and show that the celebrated Random Serial Dictatorship mechanism is welfare inferior to another allocation method, the Random Boston mechanism, when the number of agents and objects is large. Specifically, every type of every agent has a strictly higher interim expected utility under the Random Boston mechanism than under the Random Serial Dictatorship mechanism. Moreover, this strict dominance holds even at the limit. © 2023 Elsevier Inc
Water for Peace Revisited: Reconsidering the Role of Securitization in Water Cooperation
This chapter identifies the elements that create a political and social environment conducive to water cooperation, using the case study of the Water for Peace (WfP) initiative by Türkiye and Israel in the early 2000s. The chapter is based on a historical analysis of the evolution of bilateral relations between the two countries, as well as secondary climate and water data to support the analysis. Water for Peace was an unsuccessful initiative that aimed to start collaboration on water between Türkiye and Israel, resting on the idea of using water for the de-escalation of tensions in the region by supplying water from Türkiye. This case shows how failing to involve civil society and particularly the business community undermines state-level efforts to tackle regional water-related challenges. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023