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Fast B-Tagging at the High-Level Trigger of the Atlas Experiment in Lhc Run 3
No full textThe ATLAS experiment relies on real-time hadronic jet reconstruction and b-tagging to record fully hadronic events containing b-jets. These algorithms require track reconstruction, which is computationally expensive and could overwhelm the high-level-trigger farm, even at the reduced event rate that passes the ATLAS first stage hardware-based trigger. In LHC Run 3, ATLAS has mitigated these computational demands by introducing a fast neural-network-based b-tagger, which acts as a low-precision filter using input from hadronic jets and tracks. It runs after a hardware trigger and before the remaining high-level-trigger reconstruction. This design relies on the negligible cost of neural-network inference as compared to track reconstruction, and the cost reduction from limiting tracking to specific regions of the detector. In the case of Standard Model HH → bb̄bb̄, a key signature relying on b-jet triggers, the filter lowers the input rate to the remaining high-level trigger by a factor of five at the small cost of reducing the overall signal efficiency by roughly 2%. © 2023 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI
Search for a Light Charged Higgs Boson in T → H±b Decays, With H± → Cb, in the Lepton Plus Jets Final State in Proton-Proton Collisions at √s=13 Tev With the Atlas Detector
No full textA search for a charged Higgs boson, H-+/-, produced in top-quark decays, t -> H(+/-)b, is presented. The search targets H-+/- decays into a bottom and a charm quark, H-+/- -> cb. The analysis focuses on a selection enriched in top-quark pair production, where one top quark decays into a leptonically decaying W boson and a bottom quark, and the other top quark decays into a charged Higgs boson and a bottom quark. This topology leads to a lepton-plus-jets final state, characterised by an isolated electron or muon and at least four jets. The search exploits the high multiplicity of jets containing b-hadrons, and deploys a neural network classifier that uses the kinematic differences between the signal and the background. The search uses a dataset of proton-proton collisions collected at a centre-of-mass energy root s = 13TeV between 2015 and 2018 with the ATLAS detector at CERN's Large Hadron Collider, amounting to an integrated luminosity of 139 fb(-1). Observed (expected) 95% confidence-level upper limits between 0.15% (0.09%) and 0.42% (0.25%) are derived for the product of branching fractions B( t -> H-+/- b) x B( H +/- -> cb) for charged Higgs boson masses between 60 and 160 GeV, assuming the SM production of the top-quark pairs.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; BMBF, Germany; MPG, Germany; Hong Kong SAR, China; ISF, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SERI, Switzerland; MOST, Taiwan; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; Czech Republic [PRIMUS 21/SCI/017, UNCE SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex , France; ANR, France; DFG , Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF, Greece; Thales programme - EU-ESF, Greece; Aristeia programme - 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, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; STFC, United Kingdom; TENMAK, Turkiye; Canton of Geneva, Switzerland; Canton of Bern, Switzerland; SNSF, Switzerland; SRC, Sweden; DSI/NRF, South Africa; NWO, Netherlands; Benoziyo Center, Israel; RGC, China; GSRI, Greece; HGF, Germany; SRNSFG, Georgia; Minciencias, Colombia; MOST, China; CAS, China; ANID, Chile; CERN; NRC, CanadaWe 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 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, 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 Skodowska-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
Search for Single Production of Vector-Like T Quarks Decaying Into Ht or Zt in Pp Collisions at √s=13 Tev With the Atlas Detector
No full textThis paper describes a search for the single production of an up-type vector-like quark (T) decaying as T -> Ht or T -> Zt. The search utilises a dataset of pp collisions at root s = 13 TeV collected with the ATLAS detector during the 2015-2018 data-taking period of the Large Hadron Collider, corresponding to an integrated luminosity of 139 fb(-1). Data are analysed in final states containing a single lepton with multiple jets and b-jets. The presence of boosted heavy resonances in the event is exploited to discriminate the signal from the Standard Model background. No significant excess above the Standard Model expectation is observed, and 95% CL upper limits are set on the production cross section of T quarks in different decay channels. The results are interpreted in several benchmark scenarios to set limits on the mass and universal coupling strength (kappa) of the vector-like quark. For singlet T quarks, kappa values above 0.53 are excluded for all masses below 2.3 TeV. At a mass of 1.6 TeV, kappa values as low as 0.35 are excluded. For T quarks in the doublet scenario, where the production cross section is much lower, kappa values above 0.72 are excluded for all masses below 1.7 TeV, and this exclusion is extended to kappa above 0.55 for low masses around 1.0 TeV.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; BMBF, Germany; MPG, Germany; Hong Kong SAR, China; ISF, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SERI, Switzerland; MOST, Taiwan; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; Czech Republic [PRIMUS 21/SCI/017, UNCE SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex , France; ANR, France; DFG , Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF, Greece; Thales programme - EU-ESF, Greece; Aristeia programme - 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, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; STFC, United Kingdom; TENMAK, Turkiye; Canton of Geneva, Switzerland; Canton of Bern, Switzerland; SNSF, Switzerland; SRC, Sweden; DSI/NRF, South Africa; NWO, Netherlands; Benoziyo Center, Israel; RGC, China; GSRI, Greece; HGF, Germany; SRNSFG, Georgia; Minciencias, Colombia; MOST, China; CAS, China; ANID, Chile; CERN; NRC, CanadaWe 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 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, 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 Skodowska-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
Biomechanical Performance of Talon Cannulated Compression Device in Pauwels Type Iii Fractures: a Comparative Study
No full textIntroduction: Pauwels Type III fractures are unstable and frequently treated with cannulated screws (CS) or dynamic hip screws (DHS). The newly developed talon-cannulated compression devices (TCCD) have the potential to provide rotational stability, mainly through their talon. The study investigates whether TCCD has mechanical advantages over conventional screws or can be as stable as DHS in a reverse triangle configuration for an unstable femoral neck fracture. Material and methods: After creating a standard Pauwels Type III unstable femoral neck fracture in 36 synthetic femur bones in cortical/hard cancellous bone density, 18 were reserved for dynamic-static tests, and 18 were used for torsional tests. Each group containing 18 synthetic bones was divided into three groups to apply three different fixation materials (CS, DHS, and TCCD), with six models in each group. The displacement amounts after dynamic-static tests were measured using the AutoCAD program according to the reference measurement criteria. During the dynamic tests, a series of photographs were taken. During the static tests, the beginning and post-test photographs were taken. Finally, torsional tests were performed until implant failure occurred in the synthetic femur. Results: In static axial loading tests, TCDD was found to be statistically superior to conventional CS in AL-BL distance (p = 0,014) and CL distance (p = 0,013) measurements, and there was no significant difference between the other groups. There was no significant difference between all groups in dynamic axial compression tests in any points of interest. In torsional tests, TCCD outperformed cannulated screws in stiffness (p = 0,001) and maximum torque (p = 0,001) categories, and they provided statistically significant superiority to DHS in yield torque (p0,001) category. Conclusions: Biomechanically, TCCD predominates conventional cannulated screws in femoral neck fractures. TCCD also has superior torsional properties than DHS in the yield torque category. Therefore, TCCD could be the implant of choice for unstable femoral neck fractures. © 2023 Elsevier Lt
Analyzing the Solar Energy System Investment in Turkey
No full textThis study investigates the calculation of analyzing solar energy investment decisions applying Multi-Criteria Decision Making (MCDM) methods. With the increasing energy demand all over the world, governments’ policy has changed in recent years to balance the gap between supply and demand. Also, the governments take into consideration decrease external energy dependence by finding alternative energy resources. For this purpose, it is thought that benefitting from renewable energy can be the other alternative solution for balancing the gap between energy demand and supply with low expenses with easy application processes. Solar energy is one of the most preferable renewable energy in the world due to acceptable investment costs and sustainability. Turkey is convenient to set up solar energy power plants in terms of solar energy potential and geographical features. MDCM methods are applied to solve not only basic energy problem but also complex energy management decision problems. For this reason, the purpose of this paper is to decide which area of Turkey would be more appropriate to invest in solar energy power plants by proposing an optimum investment decision plan comparing with the alternative investment fields. To deal with that, 14 important subcriteria in four main criteria (e.g., economic, environmental, technical, and energy) are determined to analyze the investment decision as These criteria are applied in different MDCM methods such as Analytical Hierarchy Process (AHP), Elimination Et Choix Traduisant la Realité (ELECTRE), and Preference Ranking Organization Method For Enrichment Evaluation (PROMETHEE). By comparing the results of these three methods, the optimum investment decision is determined for the selected districts from Tukey. Also, the solution’s sensitivity is shown with sensitivity analysis. The results of the proposed methods indicate that high flexibility for decision-makers to reach a comprehensive information range for solar energy investment decisions based on real data sets from different sides of Turkey. © Springer Nature Switzerland AG 2023
Amorphous To Crystalline Ni3s2 Nanostructures Anchored on N-Doped Carbon Nanofibers for Electrochemical Splitting of Water
No full textArticle; Early AccessNickel-based chalcogenides have recently gained considerable interest due to their potential as efficient electrocatalysts for overall water splitting. For example, nickel sulfide (NiSx) with suitable chemisorption energy for both oxygen-and hydrogen-containing intermediates can catalyze both half-cell reactions. Here, we report the synthesis of Ni3S2 nanostructures of similar to 8 nm mean size, anchored over electrospun N-doped carbon nanofibers using microwave synthesis. Careful optimization of the process parameters enabled the structural synthesis of three different types of Ni3S2 (mostly amorphous, partially crystalline, and mostly crystalline) over carbon nanofibers. Scanning and high-resolution transmission electron microscopy, powder X-ray diffraction, and X-ray photoelectron spectroscopy were used to characterize the catalysts and electrochemical performance evaluated in an alkaline medium. The partially crystalline phase of Ni3S2 supported over carbon nanofibers was the best-performing catalyst for the oxygen evolution reaction (OER) due to its high electrochemically active surface area, N-doping of carbon, presence of a crystalline and amorphous mixed phase, and high conductivity of the carbon support which resulted in a low overpotential of 270 mV for the OER with a Tafel slope of only 51 mV/ dec and a low charge transfer resistance of 1.08 omega. Moreover, the catalyst was stable and yielded more than 95% Faradaic efficiency in both the oxygen evolution and hydrogen evolution reactions.Higher Education Commission of Pakistan under the National Research Program for Universities (HEC-NRPU) [4430, 5911]Funding from the Higher Education Commission of Pakistan under the National Research Program for Universities (HEC-NRPU) grant numbers 4430 and 5911 is greatly acknowledged
Kafatası kemik iliği ve beyin inflamasyonu
No full text59. Ulusal Nöroloji Kongresi Uluslararası Katılımlı 13-18 Aralık 2023 Kaya Palazzo otel, Antalya[No Abstract Available
Solar-Assisted All-Solid Supercapacitors Using Composite Nanostructures of Zno Nanowires With Go and Rgo (vol 10, Pg 10748, 2022)
No full textCorrection for 'Solar-assisted all-solid supercapacitors using composite nanostructures of ZnO nanowires with GO and rGO' by Cigdem Tuc Altaf et al., J. Mater. Chem. C, 2022, 10, 10748-10758, https://doi.org/10.1039/D2TC02114E.SONATA BIS [2020/38/E/ST5/00176]; NCN SONATA-BIS Program [UMO-2020/38/E/ST5/00176]The authors regret an error in the Acknowledgements section of the published article. The sentence I. I. acknowledges the partial financial support from the SONATA BIS project 2020/38/E/ST5/00176.'' should read: I. I. was partly funded by the NCN SONATA-BIS Program (UMO-2020/38/E/ST5/00176).'
A Kind of Asymmetric and Nonlinear Matrix and Its Algebraic Properties
No full textThe 3rd BEYOND 2023: Computational Science, Mathematical Modeling and Engineering Conference TOBB University of Economics and Technology, Ankara-Turkey, 19-20 October 2023In this presentation, we present a new analogue of the Filbert and Lilbert matrices whose indices have different asymmetric and nonlinear rules according to their row numbers. Explicit formula are derived for the LU-decompositions, their inverses and the inverse of the main matrix as well as its determinant. To prove the claimed results we use backward induction method. The asymmetric variants of the Filbert and Lilbert matrices are obtained from our results for a particular q value
The Factors Associated With Unmet Need For Family Planning Among Syrian Refugee Women Living In Turkey
No full textIV. International Conference on Economics (EconTR) September 7-9, 2023 Başkent University Ankara, Türkiye / Uluslararası İktisat Kongresi 7-9 Eylül, 2023, Başkent Üniversitesi, Ankara, TürkiyeThe unmet need for family planning (FP) is defined as fecund women who want to postpone childbearing or do not want to become pregnant but not using any contraception. Any mistimed pregnancy may lead to an economic burden or unsafe abortions. Therefore, administrators responsible for public health need to have detailed knowledge about the level of unmet need and its determinants to improve women’s health and well-being. The 2018 Turkey Demographic and Health Survey (TDHS) revealed that 21% of Syrian migrant married women of reproductive age had unmet need, almost twice that of Turkey’s average (12%). The young Syrian population living in Turkey is characterized by high fertility and low maternal age indicating room for improving reproductive health services among Syrian women. Therefore, this study aims to identify the determinants of unmet need for FP among Syrian migrant women of reproductive age by using data from the 2018-TDHS. The probability of unmet need for FP is estimated as a function of various socio-demographic characteristics as a logit model. Results show that Syrian women who are at least 40 years old or under 24 years old, living in large families, non-camp residences and in Central region are more likely to have unmet need for FP. Woman’s autonomy in her own healthcare decision and sources of information on FP are also statistically significant factors associated with unmet need for FP. These results will help to develop FP programmes to improve the sexual and reproductive health of Syrian migrant women