检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Wu, Han Chen, Lei Malinowski, Paul Huang, Jianwei Deng, Qinwen Scott, Kirsty Jang, Bo Gyu Ruff, Jacob P.C. He, Yu Chen, Xiang Hu, Chaowei Yue, Ziqin Oh, Ji Seop Teng, Xiaokun Guo, Yucheng Klemm, Mason Shi, Chuqiao Shi, Yue Setty, Chandan Werner, Tyler Hashimoto, Makoto Lu, Donghui Yilmaz, T. Vescovo, Elio Mo, Sung-Kwan Fedorov, Alexei Denlinger, Jonathan Xie, Yaofeng Gao, Bin Kono, Junichiro Dai, Pengcheng Han, Yimo Xu, Xiaodong Birgeneau, Robert J. Zhu, Jian-Xin da Silva Neto, Eduardo H. Wu, Liang Chu, Jiun-Haw Si, Qimiao Yi, Ming Department of Physics and Astronomy Rice Center for Quantum Materials Rice University HoustonTX77005 United States Department of Physics University of Washington SeattleWA98195 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Department of Physics Yale University New HavenCT06520 United States Energy Sciences Institute Yale University West HavenCT06516 United States Theoretical Division Center for Integrated Nanotechnologies Los Alamos National Laboratory Los AlamosNM United States Cornell High Energy Synchrotron Source Cornell University IthacaNY14853 United States Department of Applied Physics Yale University New HavenCT06511 United States Department of Physics University of California Berkeley BerkeleyCA94720 United States Department of Materials Science and Engineering University of Washington SeattleWA98195 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States Stanford Synchrotron Radiation Lightsource SLAC National Accelerator Laboratory Menlo ParkCA94025 United States National Synchrotron Light Source II Brookhaven National Lab UptonNY11973 United States Advanced Light Source Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Departments of Electrical and Computer Engineering Rice University HoustonTX77005 United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Materials Science and Engineering University of California Berkeley United States

The ability to reversibly toggle between two distinct states in a non-volatile method is important for information storage applications. Such devices have been realized for phase-change materials, which utilizes local heating methods to toggle between a crystalline and an amorphous state with distinct electrical properties [1–5]. To expand such kind of switching between two topologically distinct phases requires non-volatile switching between two crystalline phases with distinct symmetries. Here we report the observation of reversible and non-volatile switching between two stable and closely-related crystal structures with remarkably distinct electronic structures in the near room temperature van der Waals ferromagnet Fe5−δGeTe2. From a combination of characterization techniques we show that the switching is enabled by the ordering and disordering of an Fe site vacancy that results in distinct crystalline symmetries of the two phases that can be controlled by a thermal annealing and quenching method. Furthermore, from symmetry analysis as well as first principle calculations, we provide understanding of the key distinction in the observed electronic structures of the two phases: topological nodal lines compatible with the preserved global inversion symmetry in the site-disordered phase, and flat bands resulting from quantum destructive interference on a bipartite crystaline lattice formed by the presence of the site order as well as the lifting of the topological degeneracy due to the broken inversion symmetry in the site-ordered phase. Our work not only reveals a rich variety of quantum phases emergent in the metallic van der Waals ferromagnets due to the presence of site ordering, but also demonstrates the potential of these highly tunable two-dimensional magnets for memory and spintronics applications. © 2023, CC BY.

关键词： Electronic structure

来源：评论

学校读者我要写书评

暂无评论

science with the Global Cosmic-ray Observatory (GCOS)

arXiv

引用

arXiv 2023年

作者： Batista, Rafael Alves Ahlers, M. Alves Batista, R. Assis, P. Battisti, M. Bellido, J.A. Bhatnagar, S. Bismark, K. Bister, T. Bohacova, M. Caccianiga, L. Caruso, R. Carvalho, W. Castellina, A. Colalillo, R. Convenga, F. Dawson, B. De Mitri, I. de Palma, F. Deval, L. di Matteo, A. DuVernois, M. Engel, R. Eser, J. Fitoussi, T. Flaggs, B. Fujii, T. Garzelli, M.V. Gkika, V. Hamal, P. Hariharan, B. Haungs, A. Hnatyk, B. Hörandel, J. Horváth, P. Hrabovsky, M. Huege, T. Ikeda, D. Isar, P.G. James, R. Johnsen, J. Kampert, K.-H. Kleifges, M. Koundal, P. Liu, J. Longo, F. Mandat, D. Mariş, I.C. Matthews, J. Mayotte, E. Medina-Tanco, G. Mulrey, K. Muzio, M.S. Nellen, L. Niechciol, M. Ogio, S. Oikonomou, F. Ostrowski, M. Pont, B. Porcelli, A. Rautenberg, J. Rieger, F. Risse, M. Roth, M. Sako, T. Salamida, F. Santangelo, A. Santos, E. Sarazin, F. Saveliev, A. Schimp, M. Schmidt, D. Schröder, F. Sergijenko, O. Sigl, G. Soldin, D. Spiczak, G. Tameda, Y. Unger, M. van Vliet, A. Vorobiov, S. Wibig, T. Wundheiler, B. Yushkov, A. Zotov, M. Instituto de Física Teórica UAM-CSIC C/Nicolás Cabrera 13-15 Madrid28049 Spain Departamento de Física Teórica Universidad Autónoma de Madrid M-15 Madrid28049 Spain Niels Bohr Institute Copenhagen Denmark Instituto de Física Teórica UAM-CSIC Madrid Spain Universidad Autónoma de Madrid Departamento de Física Teórica Madrid Spain Universidade de Lisboa Instituto Superior Técnico Lisboa Portugal Universidade de Lisboa Laboratório de Instrumentação e Física Experimental de Partículas Lisboa Portugal Université de Paris Astroparticule et Cosmologie Paris France The University of Adelaide Physics Department Adelaide Australia Dayalbagh Educational Institute Department of Physics and Computer Science Agra India Institute for Experimental Particle Physics Karlsruhe Germany Radboud University Institute for Mathematics Astrophysics and Particle Physics Nijmegen Netherlands Amsterdam Netherlands Institute of Physics The Czech Academy of Sciences Prague Czech Republic Sezione di Milano Milan Italy Department of Physics and Astronomy "E. Majorana" University of Catania Catania Italy Sezione di Catania Catania Italy Sezione di Torino Turin Italy Turin Italy Università degli Studi di Napoli "Federico II" Naples Italy Sezione di Napoli Naples Italy Università dell'Aquila Dipartimento di Scienze Fisiche e Chimiche L'Aquila Italy Laboratori Nazionali del Gran Sasso L'Aquila Italy Gran Sasso Science Institute L'Aquila Italy Università del Salento Dipartimento di Matematica e Fisica "E. De Giorgi" Lecce Italy Institute for Astroparticle Physics Karlsruhe Germany University of Wisconsin-Madison Department of Physics MadisonWI United States University of Wisconsin-Madison Wisconsin IceCube Particle Astrophysics Center MadisonWI United States The University of Chicago Department of Astronomy and Astrophysics ChicagoIL United States University of Delaware Bartol Research Institute NewarkDE United States Osaka Metropolitan University Gradu

The Global Cosmic-ray Observatory (GCOS) is a proposed large-scale observatory for studying ultra-high-energy cosmic particles, including ultra-high-energy cosmic rays (UHECRs), photons, and neutrinos. Its primary goal is to characterise the properties of the highest-energy particles in Nature with unprecedented accuracy, and to identify their elusive sources. With an aperture at least a ten-fold larger than existing observatories, this next-generation facility should start operating after 2030, when present-day detectors will gradually cease their activities. Here we briefly review the scientific case motivating GCOS. We present the status of the project, preliminary ideas for its design, and some estimates of its capabilities. © 2023, CC BY-NC-ND.

关键词： Observatories

来源：评论

学校读者我要写书评

暂无评论

The TESS Triple-9 Catalog: 999 uniformly vetted candidate exoplanets

arXiv

引用

arXiv 2022年

作者： Cacciapuoti, Luca Kostov, Veselin B. Kuchner, Marc Quintana, Elisa V. Colón, Knicole D. Brande, Jonathan Mullally, Susan E. Chance, Quadry Christiansen, Jessie L. Ahlers, John P. Di Fraia, Marco Z. Luca, Hugo A. Durantini Ienco, Riccardo M. Gallo, Francesco de Lima, Lucas T. Hyogo, Michiharu Andrés-Carcasona, Marc Fornear, Aline U. de Lambilly, Julien S. Salik, Ryan Yablonsky, John M. Wallace, Shaun Acharya, Sovan European Southern Observatory Karl-Schwarzschild-Strasse 2 Garching bei Munchen D-85748 Germany Fakultat fur Physik Ludwig-Maximilians-Universitat Munchen Scheinerstr. 1 Munchen81679 Germany Department of Physics "Ettore Pancini" University of Naples Federico II Naples Italy NASA Goddard Space Flight Center GreenbeltMD20771 United States SETI Institute 189 Bernardo Ave Suite 200 Mountain ViewCA94043 United States Department of Physics & Astronomy University of Kansas 1082 Malott 1251 Wescoe Hall Dr. LawrenceKS66045 United States Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States University of Florida GainesvilleFL32611 United States Infrared Processing and Analysis Center Caltech PasadenaCA91125 United States GreenbeltMD20771 United States Oxford Dynamics RAL G19 Building R71 Didcot OX11 0QX United Kingdom IATE-OAC Universidad Nacional de Córdoba-CONICET Laprida 854 CórdobaX5000 BGR Argentina Geoscience Department University of Aveiro Campus Santiago Aveiro3810-193 Portugal Meisei University 2-1-1 Hodokubo Hino Tokyo191-0042 Japan Barcelona Institute of Science and Technology BarcelonaE-08193 Spain Planet Patrol Collaboration Staples High School 70 North Ave WestportCT06880 United States Department of Computer Science Brown University United States SA Citizen Science Group-Ignited Minds VIPNET Club

The Transiting Exoplanet Survey Satellite (TESS) has detected thousands of exoplanet candidates since 2018, most of which have yet to be confirmed. A key step in the confirmation process of these candidates is ruling out false positives through vetting. Vetting also eases the burden on follow-up observations, provides input for demographics studies, and facilitates training machine learning algorithms. Here we present the TESS Triple-9 (TT9) catalog - a uniformly-vetted catalog containing dispositions for 999 exoplanet candidates listed on ExoFOP-TESS, known as TESS Objects of Interest (TOIs). The TT9 was produced using the Discovery And Vetting of Exoplanets pipeline, DAVE, and utilizing the power of citizen science as part of the Planet Patrol project. More than 70% of the TOIs listed in the TT9 pass our diagnostic tests, and are thus marked as true planetary candidates. We flagged 144 candidates as false positives, and identified 146 as potential false positives. At the time of writing, the TT9 catalog contains ∼ 20% of the entire ExoFOP-TESS TOIs list, demonstrates the synergy between automated tools and citizen science, and represents the first stage of our efforts to vet all TOIs. The DAVE generated results are publicly available on ExoFOP-TESS. © 2022, CC BY.

关键词： Satellites

来源：评论

学校读者我要写书评

暂无评论

Constraining Lens Masses in Moderately to Highly Magnified Microlensing Events from Gaia

arXiv

引用

arXiv 2025年

作者： Pylypenko, U. Wyrzykowski, L. Mikolajczyk, P.J. Kotysz, K. Zieliński, P. Ihanec, N. Wicker, M. Ratajczak, M. Sitek, M. Howil, K. Jablońska, M. Kaczmarek, Z. Kruszyńska, K. Udalski, A. Damljanovic, G. Stojanovic, M. Jovanovic, M.D. Kvernadze, T. Kvaratskhelia, O. Zejmo, M. Brincat, S.M. Qvam, J.K.T. Güver, T. Bachelet, E. Rybicki, K.A. Garofalo, A. Hardy, L. Zdanavicius, J. Pakstiene, E. Zola, S. Kurowski, S. Reichart, D.E. Davidson, J.W. Burgaz, U. Rivet, J.P. Jelinek, M. Popowicz, A. Esenoglu, H.H. Sonbas, E. Carrasco, J.M. Awiphan, S. Tasuya, O. Godunova, V. Simon, A. Fukui, A. Galdies, C. Bakowska, K. Hofbauer, P. Gurgul, A. Joachimczyk, B. Dominik, M. Tsapras, Y. Street, R.A. Hundertmark, M. Bozza, V. Rota, P. Cassan, A. Wambsganss, J. Figuera Jaimes, R. Astronomical Observatory University of Warsaw Al. Ujazdowskie 4 Warsaw00-478 Poland Astrophysics Division National Centre for Nuclear Research Pasteura 7 Warsaw02-093 Poland Astronomical Institute University of Wroclaw ul. Mikolaja Kopernika 11 Wroclaw51-622 Poland Institute of Astronomy Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University in Toruń Grudziadzka 5 Toruń87-100 Poland Faculty of Mathematics and Computer Science Jagiellonian University Lojasiewicza 6 Kraków30-348 Poland Research School of Astronomy and Astrophysics Australian National University Mount Stromlo Observatory Cotter Road Weston CreekACT2611 Australia Zentrum für Astronomie der Universität Heidelberg Astronomisches Rechen-Institut Mönchhofstr. 12-14 Heidelberg69120 Germany Las Cumbres Observatory Global Telescope Network 6740 Cortona Drive suite 102 GoletaCA93117 United States Astronomical Observatory Volgina 7 Belgrade11060 Serbia E.Kharadze Georgian National Astrophysical Observatory Abastumani0301 Georgia Janusz Gil Institute of Astronomy University of Zielona Góra Lubuska 2 Zielona GóraPL-65-265 Poland Flarestar Obsevatory Fl.5 Ent.B Silver Jubilee Apt George Tayar Street San GwannSGN 3160 Malta Horten Videregaende Skole Strandpromenaden 33 Horten3183 Norway Istanbul University Faculty of Science Department of Astronomy and Spaces Sciences Istanbul34119 Turkey Istanbul University Observatory Research and Application Center Istanbul University Istanbul34119 Turkey Department of Physics Adıyaman University Adıyaman02040 Turkey Department of Physics The George Washington University WashingtonDC20052 United States IPAC Mail Code 100-22 Caltech 1200 E. California Blvd. PasadenaCA91125 United States Department of Particle Physics and Astrophysics Weizmann Institute of Science Rehovot76100 Israel INAF-Osservatorio di Astrofisica e Scienza dello Spazio Via Gobetti 93/3 BolognaI-40129 Italy Department of Physics and Astronom

Context. Microlensing events provide a unique way to detect and measure the masses of isolated, non-luminous objects, particularly dark stellar remnants. Under certain conditions, it is possible to measure the mass of these objects using photometry alone, specifically when a microlensing light curve displays a finite-source (FS) effect. This effect generally occurs in highly magnified light curves, i.e. when the source and the lens are very well aligned. Aims. In this study, we analyse Gaia Alerts and Gaia Data Release 3 datasets, identifying four moderate-to-high-magnification microlensing events without a discernible FS effect. The absence of this effect suggests a large Einstein radius, implying substantial lens masses. Methods. In each event, we constrain the FS effect and therefore establish lower limits for angular Einstein radius and lens mass. Additionally, we use the DarkLensCode software to obtain mass, distance, and brightness distribution for the lens based on the Galactic model. Results. Our analysis established lower mass limits of ∼ 0.2 M☉ for one lens and ∼ 0.3 − 0.5 M☉ for two others. DarkLensCode analysis supports these findings, estimating lens masses in the range of∼ 0.42 − 1.66 M☉ and dark lens probabilities exceeding 60%. These results strongly indicate that the lenses are stellar remnants, such as white dwarfs or neutron stars. Conclusions. While further investigations are required to confirm the nature of these lenses, we demonstrate a straightforward yet effective approach to identifying stellar remnant candidates. © 2025, CC BY.

关键词： White dwarfs

来源：评论

学校读者我要写书评

暂无评论

Revisiting clustering as matrix factorisation on the Stiefel manifold

arXiv

引用

arXiv 2019年

作者： Chrétien, Stéphane Guedj, Benjamin Université Lumière-Lyon-II The Alan Turing Institute London United Kingdom Université Lumière-Lyon-II The National Physical Laboratory United Kingdom Inria Lille - Nord Europe Research Centre France University College London Department of Computer Science Centre for Artificial Intelligence United Kingdom

This paper studies clustering for possibly high dimensional data (e.g. images, time series, gene expression data, and many other settings), and rephrase it as low rank matrix estimation in the PAC-Bayesian framework. Our approach leverages the well known Burer-Monteiro factorisation strategy from large scale optimisation, in the context of low rank estimation. Moreover, our Burer-Monteiro factors are shown to lie on a Stiefel manifold. We propose a new generalized Bayesian estimator for this problem and prove novel prediction bounds for clustering. We also devise a componentwise Langevin sampler on the Stiefel manifold to compute this estimator. © 2019, CC BY-NC-SA.

关键词： Non-negative matrix factorization

来源：评论

学校读者我要写书评

暂无评论

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

arXiv

引用

arXiv 2023年

作者： Aad, G. Abbott, B. Abbott, D.C. Abeling, K. Abidi, S.H. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Hoffman, A.C. Abusleme Acharya, B.S. Bourdarios, C. Adam Adamczyk, L. Adamek, L. Cppm Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma NormanOK United States Department of Physics University of Massachusetts AmherstMA United States II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Physics Department Brookhaven National Laboratory UptonNY United States Faculté des Sciences Université Mohammed v Rabat Morocco Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel Department of Physics New York University New YorkNY United States Departamento de Física Pontificia Universidad Católica de Chile Santiago Chile Infn Gruppo Collegato di Udine Sezione di Trieste Udine Italy Ictp Trieste Italy Lapp Université Savoie Mont Blanc CNRS/IN2P3 Annecy France Agh University of Krakow Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics University of Toronto TorontoON Canada

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, CC BY.

关键词： Calibration

来源：评论

学校读者我要写书评

暂无评论

Electroweak, QCD and flavour physics studies with ATLAS data from Run 2 of the LHC

引用

Physics Reports 2025年 1116卷 57-126页

作者： Aad, G. Aakvaag, E. Abbott, B. Abdelhameed, S. Abeling, K. Abicht, N.J. Abidi, S.H. Aboelela, M. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B.S. Ackermann, A. Adam Bourdarios, C. Adamczyk, L. Addepalli, S.V. Addison, M.J. Adelman, J. Adiguzel, A. Adye, T. Affolder, A.A. Afik, Y. Agaras, M.N. Agarwala, J. Aggarwal, A. Agheorghiesei, C. Ahmad, A. Ahmadov, F. Ahmed, W.S. Ahuja, S. Ai, X. Aielli, G. Aikot, A. Ait Tamlihat, M. Aitbenchikh, B. Akbiyik, M. Åkesson, T.P.A. Akimov, A.V. Akiyama, D. Akolkar, N.N. Aktas, S. Al Khoury, K. Alberghi, G.L. Albert, J. Albicocco, P. Albouy, G.L. Alderweireldt, S. Alegria, Z.L. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexopoulos, T. Alfonsi, F. Algren, M. Alhroob, M. Ali, B. Ali, H.M.J. Ali, S. Alibocus, S.W. Aliev, M. Alimonti, G. Alkakhi, W. Allaire, C. Allbrooke, B.M.M. Allen, J.F. Allendes Flores, C.A. Allport, P.P. Aloisio, A. Alonso, F. Alpigiani, C. Alsolami, Z.M.K. Alvarez Estevez, M. Alvarez Fernandez, A. Alves Cardoso, M. Alviggi, M.G. Aly, M. Amaral Coutinho, Y. Ambler, A. Amelung, C. Amerl, M. Ames, C.G. Amidei, D. Amirie, K.J. Amor Dos Santos, S.P. Amos, K.R. An, S. Ananiev, V. Anastopoulos, C. Andeen, T. Anders, J.K. Andrean, S.Y. Andreazza, A. Angelidakis, S. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Antipov, E. Antonelli, M. Anulli, F. Aoki, M. Aoki, T. Aparo, M.A. Aperio Bella, L. Appelt, C. Apyan, A. Arbiol Val, S.J. Arcangeletti, C. Arce, A.T.H. Arena, E. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Arnaez, O. Arnold, H. Artoni, G. Asada, H. Asai, K. Asai, S. Asbah, N.A. Ashby Pickering, R.A. Assamagan, K. Astalos, R. Astrand, K.S.V. Atashi, S. Atkin, R.J. Atkinson, M. Atmani, H. Atmasiddha, P.A. Augsten, K. Auricchio, S. Auriol, A.D. Austrup, V.A. Avolio, G. Axiotis, K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Bachiu, A. Backman, F. Badea, A. Baer, T.M. Bagnaia, P. Bahmani, M. Bahner, D. Bai, K. Baines, J.T. Baines, L. Baker, O.K. Bakos, E. Bakshi Gupta, D. Balakrishnan, V. Balasubramanian, R. Baldin, E.M. Balek, P. Ballabene, E. CPPM Aix-Marseille Université CNRS IN2P3 Marseille France Department for Physics and Technology University of Bergen Bergen Norway Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States New York University Abu Dhabi Abu Dhabi United Arab Emirates II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Physics Department Brookhaven National Laboratory Upton NY United States Physics Department Southern Methodist University Dallas TX United States Faculté des sciences Université Mohammed V Rabat Morocco Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel Department of Physics New York University New York NY United States INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King's College London London United Kingdom Kirchhoff-Institut für Physik Ruprecht-Karls-Universität Heidelberg Heidelberg Germany LAPP Université Savoie Mont Blanc CNRS IN2P3 Annecy France AGH University of Krakow Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Brandeis University Waltham MA United States School of Physics and Astronomy University of Manchester Manchester United Kingdom Department of Physics Northern Illinois University DeKalb IL United States Department of Physics Istanbul University Istanbul Turkey Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA United States Enrico Fermi Institute University of Chicago Chicago IL United States Institut de Física d'Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain INFN Sezione di Pavia Italy Dipartimento di Fisica Uni

A summary of precision measurements sensitive to electroweak, QCD and quark-flavour effects performed by the ATLAS Collaboration at the Large Hadron Collider is reported. The measurements are predominantly performed on proton–proton (pp) collision data recorded at a centre-of-mass energy of 13 TeV taken from 2015 to 2018, with an integrated luminosity of up to 140 fb⁻¹, with some results based on pp and Pb+Pb data recorded at lower nucleon centre-of-mass energies. The results cover a wide range of topics, from strong production of particles at low energies and the spectroscopy of hadrons to perturbative QCD with hadronic jets and electroweak and strong production of single and multiple vector bosons. They provide precise measurements of fundamental constants and stringent tests of the Standard Model with unprecedented precision and in energy ranges never explored before. They are also used to explore the proton structure and to perform model-independent searches for new physics. © 2024 CERN for the benefit of the ATLAS Collaboration

关键词：

来源：评论

学校读者我要写书评

暂无评论

P10.25.A ATR INHIBITION IN EXPERIMENTAL GLIOMA: DISCOVERY AND VALIDATION OF MOLECULAR TARGETS FOR FUNCTIONALLY-INSTRUCTED COMBINATION THERAPIES

引用

Neuro-Oncology 2023年第SUPPLEMENT_2期25卷 ii68–ii68页

作者： Walter, B Hirsch, S Kuhlburger, L Stahl, A Schnabel, L Haeusser, L A Tsiami, F Ploeger, S Aghaallaei, N Dick, A M Skokowa, J Schmees, C Templin, M Schenke-Layland, K Tatagiba, M Nahnsen, S Merk, D Tabatabai, G Hertie Institute for Clinical Brain Research Tübingen Germany Quantitative Biology Center Eberhard Karls University Tübingen Tübingen Germany Biomedical Data Science Department of Computer Science Eberhard Karls University Tübingen Tübingen Germany NMI Natural and Medical Sciences Institute at the University of Tübingen Reutlingen Germany German Consortium for Translational Cancer Research (DKTK) Partner site Tübingen Tübingen Germany Division of Translational Oncology Department of Internal Medicine II University Hospital Tübingen Tübingen Germany Institute of Biomedical Engineering Dept. for Medical Technologies and regenerative Medicine Eberhard Karls University Tübingen Tübingen Germany Center for Neuro-Oncology Comprehensive Cancer Center Tübingen-Stuttgart Eberhard Karls University Tübingen Tübingen Germany

来源：评论

学校读者我要写书评

暂无评论

Pandemic drugs at pandemic speed: Infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning- And physics-based simulations on high performance computers

arXiv

引用

arXiv 2021年

作者： Bhati, Agastya P. Wan, Shunzhou Alfè, Dario Clyde, Austin R. Bode, Mathis Tan, Li Titov, Mikhail Merzky, Andre Turilli, Matteo Jha, Shantenu Highfield, Roger R. Rocchia, Walter Scafuri, Nicola Succi, Sauro Kranzlmüller, Dieter Mathias, Gerald Wifling, David Donon, Yann Meglio, Alberto Di Vallecorsa, Sofia Ma, Heng Trifan, Anda Ramanathan, Arvind Brettin, Tom Partin, Alexander Xia, Fangfang Duan, Xiaotan Stevens, Rick Coveney, Peter V. Centre for Computational Science University College London Gordon Street LondonWC1H 0AJ United Kingdom Department of Earth Sciences London Centre for Nanotechnology and Thomas Young Centre University College London University College London Gower Street LondonWC1E 6BT United Kingdom Dipartimento di Fisica Ettore Pancini Università di Napoli Federico II Monte Sant’Angelo NapoliI-80126 Italy Department of Computer Science University of Chicago Institute for Combustion Technology RWTH Aachen University Aachen52056 Germany Brookhaven National Laboratory UptonNY11973 United States Rutgers State University of New Jersey PiscatawayNJ08854 United States Science Museum Exhibition Road LondonSW7 2DD United Kingdom Concept Lab Italian Institute of Technology Via Melen Genova Italy Center for Life Nanosciences at La Sapienza Italian Institute of Technology viale Regina Elena Roma Italy of the Bavarian Academy of Sciences and Humanities Boltzmannstraße 1 Garching bei München85748 Germany OpenLab CERN Geneva Switzerland Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States Computing Environment and Life Sciences Directorate Argonne National Laboratory LemontIL60439 United States Institute for Informatics Science Park 904 University of Amsterdam Amsterdam1098 XH Netherlands

The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules to shortlist lead compounds for antiviral drug development. New opportunities to accelerate drug discovery lie at the interface between machine learning methods, in this case developed for linear accelerators, and physics-based methods. The two in silico methods, each have their own advantages and limitations which, interestingly, complement each other. Here, we present an innovative infrastructural development that combines both approaches to accelerate drug discovery. The scale of the potential resulting workflow is such that it is dependent on supercomputing to achieve extremely high throughput. We have demonstrated the viability of this workflow for the study of inhibitors for four COVID-19 target proteins and our ability to perform the required large-scale calculations to identify lead antiviral compounds through repurposing on a variety of supercomputers. © 2021, CC BY.

关键词： Molecular dynamics

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Search for resonant and nonresonant production of pairs of dijet resonances in proton-proton collisions at = 13 TeV

引用

Journal of High Energy Physics 2025年第5期2025卷 1-23页

作者： Tumasyan, A. Adam, W. Andrejkovic, J. W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P. S. Jeitler, M. Krammer, N. Lechner, L. Liko, D. Mikulec, I. Paulitsch, P. Pitters, F. M. Schieck, J. Schöfbeck, R. Schwarz, D. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M. R. Janssen, T. Kello, T. Rejeb Sfar, H. Van Mechelen, P. Bols, E. S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Moortgat, S. Morton, A. Müller, D. Sahasransu, A. R. Tavernier, S. Van Doninck, W. Vannerom, D. Clerbaux, B. De Lentdecker, G. Favart, L. Jaramillo, J. Lee, K. Mahdavikhorrami, M. Makarenko, I. Malara, A. Paredes, S. Pétré, L. Postiau, N. Starling, E. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. Dobur, D. Knolle, J. Lambrecht, L. Mestdach, G. Niedziela, M. Rendón, C. Roskas, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bethani, A. Bruno, G. Bury, F. Caputo, C. David, P. Delaere, C. Donertas, I. S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Mondal, K. Prisciandaro, J. Taliercio, A. Tran, T. T. Vischia, P. Wertz, S. Alves, G. A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. Aldá Júnior, W. L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E. M. Da Silveira, G. G. De Jesus Damiao, D. Dos Santos Sousa, V. Fonseca De Souza, S. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S. M. Sznajder, A. Thiel, M. Torres Da Silva De Araujo, F. Vilela Pereira, A. Bernardes, C. A. Calligaris, L. Fernandez Perez Tomei, T. R. Gregores, E. M. Mercadante, P. G. Novaes, S. F. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Cheng, T. Javaid, T. Mittal, M. Yuan, L. Ahmad, M. Bauer, G. Hu, Z. Lezki, S. Yi, K. Chen, G. M. Chen, H. S. Chen, M. Iemmi, F. Jiang, C. H. Kapo Yerevan Physics Institute Yerevan Armenia Yerevan State University Yerevan Armenia Institut für Hochenergiephysik Vienna Austria TU Wien Vienna Austria Universiteit Antwerpen Antwerpen Belgium Institute of Basic and Applied Sciences Faculty of Engineering Arab Academy for Science Technology and Maritime Transport Alexandria Egypt Université Libre de Bruxelles Bruxelles Belgium Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil UFMS Nova Andradina Brazil The University of the State of Amazonas Manaus Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China University of Chinese Academy of Sciences Beijing China Department of Physics Tsinghua University Beijing China Nanjing Normal University Department of Physics Nanjing China The University of Iowa Iowa City USA Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prag

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：