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Photonic Anomalous Quantum Hall Effect

physical Review Letters 2019年第4期123卷 043201-043201页

作者： Sunil Mittal Venkata Vikram Orre Daniel Leykam Y. D. Chong Mohammad Hafezi Joint Quantum Institute NIST/University of Maryland College Park Maryland 20742 USA Department of Electrical and Computer Engineering and IREAP University of Maryland College Park Maryland 20742 USA Center for Theoretical Physics of Complex Systems Institute for Basic Science (IBS) Daejeon 34126 Republic of Korea Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Centre for Disruptive Photonic Technologies Nanyang Technological University Singapore 637371 Singapore Department of Physics University of Maryland College Park Maryland 20742 USA

We experimentally realize a photonic analogue of the anomalous quantum Hall insulator using a two-dimensional (2D) array of coupled ring resonators. Similar to the Haldane model, our 2D array is translation invariant, has a zero net gauge flux threading the lattice, and exploits next-nearest neighbor couplings to achieve a topologically nontrivial band gap. Using direct imaging and on-chip transmission measurements, we show that the band gap hosts topologically robust edge states. We demonstrate a topological phase transition to a conventional insulator by frequency detuning the ring resonators and thereby breaking the inversion symmetry of the lattice. Furthermore, the clockwise or the counterclockwise circulation of photons in the ring resonators constitutes a pseudospin degree of freedom. The two pseudospins acquire opposite hopping phases, and their respective edge states propagate in opposite directions. These results are promising for the development of robust reconfigurable integrated nanophotonic devices for applications in classical and quantum information processing.

关键词： Topological effects in photonic systems

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Author Correction: Greengenes2 unifies microbial data in a single reference tree

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Nature biotechnology 2024年第5期42卷 813页

作者： Daniel McDonald Yueyu Jiang Metin Balaban Kalen Cantrell Qiyun Zhu Antonio Gonzalez James T Morton Giorgia Nicolaou Donovan H Parks Søren M Karst Mads Albertsen Philip Hugenholtz Todd DeSantis Se Jin Song Andrew Bartko Aki S Havulinna Pekka Jousilahti Susan Cheng Michael Inouye Teemu Niiranen Mohit Jain Veikko Salomaa Leo Lahti Siavash Mirarab Rob Knight Department of Pediatrics University of California San Diego School of Medicine La Jolla CA USA. Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA. Bioinformatics and Systems Biology Program University of California San Diego La Jolla CA USA. Department of Computer Science and Engineering University of California San Diego La Jolla CA USA. School of Life Sciences Arizona State University Tempe AZ USA. Biodesign Center for Fundamental and Applied Microbiomics Arizona State University Tempe AZ USA. Biostatistics & Bioinformatics Branch Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health Bethesda MD USA. Halicioglu Data Science Institute University of California San Diego La Jolla CA USA. Australian Centre for Ecogenomics School of Chemistry and Molecular Biosciences The University of Queensland St Lucia Queensland Australia. Department of Obstetrics and Gynecology Columbia University New York NY USA. Department of Chemistry and Bioscience Aalborg University Aalborg Denmark. Department of Informatics Second Genome Brisbane CA USA. Center for Microbiome Innovation Jacobs School of Engineering University of California San Diego La Jolla CA USA. Finnish Institute for Health and Welfare Helsinki Finland. Institute for Molecular Medicine Finland FIMM-HiLIFE Helsinki Finland. Division of Cardiology Brigham and Women's Hospital Boston MA USA. Cedars-Sinai Medical Center Los Angeles CA USA. Cambridge Baker Systems Genomics Initiative Baker Heart and Diabetes Institute Melbourne Victoria Australia. Cambridge Baker Systems Genomics Initiative Department of Public Health and Primary Care University of Cambridge Cambridge UK. Division of Medicine Turku University Hospital and University of Turku Turku Finland. Sapient Bioanalytics LLC San Diego CA USA. Department of Computing University of Turku Turku Finland. Department of Pediatrics Uni

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Erratum: Extended Drude Model for Intraband-Transition-Induced Optical Nonlinearity [Phys. Rev. Applied 11, 064062 (2019)]

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physical Review Applied 2020年第3期14卷 039901-039901页

作者： Heng Wang Kang Du Chuhao Jiang Zhiqiang Yang Lixia Ren Wending Zhang Soo Jin Chua Ting Mei MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Conditions and Shaanxi Key Laboratory of Optical Information Technology School of Physical Science and Technology Northwestern Polytechnical University Xi’an 710129 China Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 LEES Program Singapore-MIT Alliance for Research & Technology (SMART) 1 CREATE Way #10-01 CREATE Tower Singapore 138602

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Machine learning used to study risk factors for chronic diseases: A scoping review

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Canadian journal of public health = Revue canadienne de sante publique 2025年 2025 Jun 11页

作者： Mahek Shergill Steve Durant Sharon Birdi Roxana Rabet Carolyn Ziegler Shehzad Ali David Buckeridge Marzyeh Ghassemi Jennifer Gibson Ava John-Baptiste Jillian Macklin Melissa McCradden Kwame McKenzie Parisa Naraei Akwasi Owusu-Bempah Laura C Rosella James Shaw Ross Upshur Sharmistha Mishra Andrew D Pinto Upstream Lab MAP Centre for Urban Health Solutions Li Ka Shing Knowledge Institute St. Michael's Hospital Toronto ON Canada. Michael G. DeGroote School of Medicine McMaster University Hamilton ON Canada. Health Science Library Unity Health Toronto Toronto ON Canada. Department of Epidemiology and Biostatistics Western Centre for Public Health & Family Medicine Western University London ON Canada. Department of Health Sciences University of York York UK. WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity Ottawa ON Canada. Department of Epidemiology Biostatistics and Occupational Health School of Population and Global Health McGill University Montreal QC Canada. Department of Electrical Engineering and Computer Science (EECS) Institute for Medical Engineering & Science (IMES) MIT Cambridge MA USA. Joint Centre for Bioethics University of Toronto Toronto ON Canada. Departments of Epidemiology & Biostatistics Anesthesia & Perioperative Medicine Schulich Interfaculty Program in Public Health Western University London ON Canada. Undergraduate Medical Education Faculty of Medicine University of Toronto Toronto ON Canada. Department of Bioethics The Hospital for Sick Children Toronto ON Canada. Genetics & Genome Biology SickKids Research Institute Toronto ON Canada. Division of Clinical Public Health Dalla Lana School of Public Health University of Toronto Toronto ON Canada. Wellesley Institute Toronto ON Canada. CAMH Toronto ON Canada. Department of Computer Science Toronto Metropolitan University Toronto ON Canada. Department of Sociology Faculty of Arts & Sciences University of Toronto Toronto ON Canada. Institute for Better Health Trillium Health Partners Toronto ON Canada. Department of Physical Therapy Faculty of Medicine University of Toronto Toronto ON Canada. Department of Family and Community Medicine Faculty of Medicine University of Toronto Toronto ON Canada. Division

OBJECTIVES:Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol use, unhealthy eating, physical activity, and psychological stress. METHODS:We searched the peer-reviewed, indexed literature using Medline (Ovid), Embase (Ovid), Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews (Ovid), Scopus, ACM Digital Library, INSPEC, and Web of science's science Citation Index, Social sciences Citation Index, and Emerging Sources Citation Index. Among the included studies, we examined whether bias was considered and identified strategies employed to mitigate bias. SYNTHESIS:The search identified 10,329 studies, and 20 met our inclusion criteria. The studies we identified used ML for a wide range of goals, from prediction of chronic disease development to automating the classification of data to identifying new associations between risk factors and disease. Nine studies (45%) included some discussion of algorithmic bias. Studies that incorporated a broad array of sociodemographic variables did so primarily to improve the performance of a ML model rather than to mitigate potential harms to populations made vulnerable by social and economic policies. CONCLUSION:This work contributes to our understanding of how ML can be used to advance population and public health.

关键词： Artificial intelligence Machine learning Non-communicable diseases Population health Public health Risk factors

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Author Correction: Efficient near-infrared light-emitting diodes based on quantum dots in layered perovskite

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Nature Photonics 2020年第7期14卷 459页

作者： Liang Gao Li Na Quan F. Pelayo García de Arquer Yongbiao Zhao Rahim Munir Andrew Proppe Rafael Quintero-Bermudez Chengqin Zou Zhenyu Yang Makhsud I. Saidaminov Oleksandr Voznyy Sachin Kinge Zhenghong Lu Shana O. Kelley Aram Amassian Jiang Tang Edward H. Sargent Department of Electrical and Computer Engineering University of Toronto Toronto Canada Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China Department of Materials Science and Engineering University of Toronto Toronto Canada KAUST Solar Center (KSC) and Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Helmholtz-Zentrum Berlin für Materialien und Energie Berlin Germany Department of Chemistry University of Toronto Toronto Canada Advanced Technology Materials & Research Research & Development Toyota Motor Europe Toyota Technical Centre Zaventem Belgium Department of Pharmaceutical Sciences Leslie Dan Faculty of Pharmacy University of Toronto Toronto Canada Materials Science and Engineering North Carolina State University Raleigh USA

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Higher-order symmetry plane correlations in Pb–Pb collisions at √sNN = 5.02 TeV

arXiv

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arXiv 2024年

作者： Acharya, S. Agarwal, A. Rinella, G. Aglieri Aglietta, L. Agnello, M. Agrawal, N. Ahammed, Z. Ahmad, S. Ahn, S.U. Ahuja, I. Akindinov, A. Akishina, V. Al-Turany, M. Aleksandrov, D. Alessandro, B. Alfanda, H.M. Molina, R. Alfaro Ali, B. Alici, A. Alizadehvandchali, N. Alkin, A. Alme, J. Alocco, G. Alt, T. Altamura, A.R. Altsybeev, I. Alvarado, J.R. Alvarez, C.O.R. Anaam, M.N. Andrei, C. Andreou, N. Andronic, A. Andronov, E. Anguelov, V. Antinori, F. Antonioli, P. Apadula, N. Aphecetche, L. Appelshauser, H. Arata, C. Arcelli, S. Arnaldi, R. Arneiro, J.G.M.C.A. Arsene, I.C. Arslandok, M. Augustinus, A. Averbeck, R. Averyanov, D. Azmi, M.D. Baba, H. Badala, A. Bae, J. Baek, Y.W. Bai, X. Bailhache, R. Bailung, Y. Bala, R. Balbino, A. Baldisseri, A. Balis, B. Banerjee, D. Banoo, Z. Barbasova, V. Barile, F. Barioglio, L. Barlou, M. Barman, B. Barnafoldi, G.G. Barnby, L.S. Barreau, E. Barret, V. Barreto, L. Bartels, C. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Battistini, D. Batyunya, B. Bauri, D. Alba, J.L. Bazo Bearden, I.G. Beattie, C. Becht, P. Behera, D. Belikov, I. Hechavarria, A.D.C. Bell Bellini, F. Bellwied, R. Belokurova, S. Beltran, L.G.E. Beltran, Y.A.V. Bencedi, G. Bensaoula, A. Beole, S. Berdnikov, Y. Berdnikova, A. Bergmann, L. Besoiu, M.G. Betev, L. Bhaduri, P.P. Bhasin, A. Bhattacharjee, B. Bianchi, L. Bielcik, J. Bielcikova, J. Bigot, A.P. Bilandzic, A. Biro, G. Biswas, S. Bize, N. Blair, J.T. Blau, D. Blidaru, M.B. Bluhme, N. Blume, C. Boca, G. Bock, F. Bodova, T. Bok, J. Boldizsar, L. Bombara, M. Bond, P.M. Bonomi, G. Borel, H. Borissov, A. Carcamo, A.G. Borquez Botta, E. Bouziani, Y.E.M. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broz, M. Bruno, G.E. Buchakchiev, V.D. Buckland, M.D. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Burmasov, N. Buthelezi, Z. Bylinkin, A. Bysiak, S.A. Noris, J.C. Cabanillas Cabrera, M.F.T. Cai, M. Caines, H. Caliva, A. Villar, E. Calvo Camacho, J.M.M. Camerini, P. Max-Planck-Institut fur Physik Munich Germany Bologna Italy Dipartimento DET del Politecnico di Torino Turin Italy Yildiz Technical University Istanbul Turkey Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Foundation Yerevan Armenia AGH University of Krakow Cracow Poland Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Havana Cuba Mexico City Merida Mexico Chicago State University ChicagoIL United States China Institute of Atomic Energy Beijing China China University of Geosciences Wuhan China Chungbuk National University Cheongju Korea Republic of Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Pusan National University Pusan Korea Republic of Department of Physics Sejong University Seoul Korea Republic of Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica Universita di Pavia Pavia Italy Dipartimento di Fisica dell’Universita and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Universita and Sezione INFN Trieste Italy Dipartimento di Fisica dell’Universita and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN Bologna Italy Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN Catania Italy Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN Padova Italy Dipartimento di Fisica E.R. Caianiello’ dell’Universita Gruppo Collegato INFN Salerno It

The correlations between event-by-event fluctuations of symmetry planes are measured in Pb–Pb collisions at a centre-of-mass energy per nucleon pair √sNN = 5.02 TeV recorded by the ALICE detector at the Large Hadron Collider. This analysis is conducted using the Gaussian Estimator technique, which is insensitive to biases from correlations between different flow amplitudes. The study presents, for the first time, the centrality dependence of correlations involving up to five different symmetry planes. The correlation strength varies depending on the harmonic order of the symmetry plane and the collision centrality. Comparisons with measurements from lower energies indicate no significant differences within uncertainties. Additionally, the results are compared with hydrodynamic model calculations. Although the model predictions provide a qualitative explanation of the experimental results, they overestimate the data for some observables. This is particularly true for correlators that are sensitive to the non-linear response of the medium to initial-state anisotropies in the collision system. As these new correlators provide unique information — independent of flow amplitudes — their usage in future model developments can further constrain the properties of the strongly-interacting matter created in ultrarelativistic heavy-ion collisions. © 2024, CC BY.

关键词： Heavy ions

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Exposing the parton-hadron transition within jets with energy-energy correlators in pp collisions at √s = 5.02 TeV

arXiv

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arXiv 2024年

作者： Acharya, S. Agarwal, A. Rinella, G. Aglieri Aglietta, L. Agnello, M. Agrawal, N. Ahammed, Z. Ahmad, S. Ahn, S.U. Ahuja, I. Akindinov, A. Akishina, V. Al-Turany, M. Aleksandrov, D. Alessandro, B. Alfanda, H.M. Molina, R. Alfaro Ali, B. Alici, A. Alizadehvandchali, N. Alkin, A. Alme, J. Alocco, G. Alt, T. Altamura, A.R. Altsybeev, I. Alvarado, J.R. Alvarez, C.O.R. Anaam, M.N. Andrei, C. Andreou, N. Andronic, A. Andronov, E. Anguelov, V. Antinori, F. Antonioli, P. Apadula, N. Aphecetche, L. Appelshauser, H. Arata, C. Arcelli, S. Arnaldi, R. Arneiro, J.G.M.C.A. Arsene, I.C. Arslandok, M. Augustinus, A. Averbeck, R. Averyanov, D. Azmi, M.D. Baba, H. Badala, A. Bae, J. Bae, Y. Baek, Y.W. Bai, X. Bailhache, R. Bailung, Y. Bala, R. Balbino, A. Baldisseri, A. Balis, B. Banoo, Z. Barbasova, V. Barile, F. Barioglio, L. Barlou, M. Barman, B. Barnafoldi, G.G. Barnby, L.S. Barreau, E. Barret, V. Barreto, L. Bartels, C. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Battistini, D. Batyunya, B. Bauri, D. Alba, J.L. Bazo Bearden, I.G. Beattie, C. Becht, P. Behera, D. Belikov, I. Hechavarria, A.D.C. Bell Bellini, F. Bellwied, R. Belokurova, S. Beltran, L.G.E. Beltran, Y.A.V. Bencedi, G. Bensaoula, A. Beole, S. Berdnikov, Y. Berdnikova, A. Bergmann, L. Besoiu, M.G. Betev, L. Bhaduri, P.P. Bhasin, A. Bhattacharjee, B. Bianchi, L. Bielcik, J. Bielcikova, J. Bigot, A.P. Bilandzic, A. Biro, G. Biswas, S. Bize, N. Blair, J.T. Blau, D. Blidaru, M.B. Bluhme, N. Blume, C. Bock, F. Bodova, T. Bok, J. Boldizsar, L. Bombara, M. Bond, P.M. Bonomi, G. Borel, H. Borissov, A. Carcamo, A.G. Borquez Botta, E. Bouziani, Y.E.M. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broz, M. Bruno, G.E. Buchakchiev, V.D. Buckland, M.D. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Burmasov, N. Buthelezi, Z. Bylinkin, A. Bysiak, S.A. Noris, J.C. Cabanillas Cabrera, M.F.T. Caines, H. Caliva, A. Villar, E. Calvo Camacho, J.M.M. Camerini, P. Canedo, F.D.M. Cantway, S.L. Max-Planck-Institut fur Physik Munich Germany Bologna Italy Dipartimento DET del Politecnico di Torino Turin Italy Yildiz Technical University Istanbul Turkey Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Foundation Yerevan Armenia AGH University of Krakow Cracow Poland Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Havana Cuba Merida Mexico Mexico Chicago State University ChicagoIL United States China Institute of Atomic Energy Beijing China China University of Geosciences Wuhan China Chungbuk National University Cheongju Korea Republic of Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Pusan National University Pusan Korea Republic of Department of Physics Sejong University Seoul Korea Republic of Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica Universita di Pavia Pavia Italy Dipartimento di Fisica dell’Universita and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Universita and Sezione INFN Trieste Italy Dipartimento di Fisica dell’Universita and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN Bologna Italy Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN Catania Italy Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN Padova Italy Dipartimento di Fisica E.R. Caianiello’ dell’Universita Gruppo Collegato INFN Salerno Italy D

This paper presents a fully-corrected measurement of the energy-energy correlator (EEC) within jets in pp collisions. The EEC traces the energy flow as a highly energetic parton undergoes a QCD shower followed by the confinement of partons into hadrons, probing the correlation function of the energy flow inside jets. The EEC observable is measured as a function of the charged particle pair angular distance, RL, for 20 chTjet L), a good agreement between the data and a next-to-leading-log perturbative QCD calculation is observed. In the non-perturbative region (small RL), the data exhibits a linear RL dependence. There is a transition region in between, characterized by a turnover in the EEC distribution, corresponding to the confinement process. The peak of this transition region is located at 2.39±0.17 GeV/c/〈pchTjet〉 for jets of various energies, indicating a common energy scale for the hadronization process. State-of-the-art Monte Carlo event generators are compared with the measurements, and can be used to constrain the parton shower and hadronization mechanisms. © 2024, CC BY.

关键词： Hadrons

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ψ(2S) Suppression in Pb-Pb Collisions at the LHC

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physical Review Letters 2024年第4期132卷 042301-042301页

作者： S. Acharya D. Adamová A. Adler G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn I. Ahuja A. Akindinov M. Al-Turany D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali A. Alici N. Alizadehvandchali A. Alkin J. Alme G. Alocco T. Alt I. Altsybeev M. N. Anaam C. Andrei A. Andronic V. Anguelov F. Antinori P. Antonioli N. Apadula L. Aphecetche H. Appelshäuser C. Arata S. Arcelli M. Aresti R. Arnaldi I. C. Arsene M. Arslandok A. Augustinus R. Averbeck M. D. Azmi A. Badalà J. Bae Y. W. Baek X. Bai R. Bailhache Y. Bailung A. Balbino A. Baldisseri B. Balis D. Banerjee Z. Banoo R. Barbera F. Barile L. Barioglio M. Barlou G. G. Barnaföldi L. S. Barnby V. Barret L. Barreto C. Bartels K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne D. Battistini B. Batyunya D. Bauri J. L. Bazo Alba I. G. Bearden C. Beattie P. Becht D. Behera I. Belikov A. D. C. Bell Hechavarria F. Bellini R. Bellwied S. Belokurova V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov A. Berdnikova L. Bergmann M. G. Besoiu L. Betev P. P. Bhaduri A. Bhasin M. A. Bhat B. Bhattacharjee L. Bianchi N. Bianchi J. Bielčík J. Bielčíková J. Biernat A. P. Bigot A. Bilandzic G. Biro S. Biswas N. Bize J. T. Blair D. Blau M. B. Blidaru N. Bluhme C. Blume G. Boca F. Bock T. Bodova A. Bogdanov S. Boi J. Bok L. Boldizsár A. Bolozdynya M. Bombara P. M. Bond G. Bonomi H. Borel A. Borissov A. G. Borquez Carcamo H. Bossi E. Botta Y. E. M. Bouziani L. Bratrud P. Braun-Munzinger M. Bregant M. Broz G. E. Bruno D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler Z. Buthelezi S. A. Bysiak M. Cai H. Caines A. Caliva E. Calvo Villar J. M. M. Camacho P. Camerini F. D. M. Canedo M. Carabas A. A. Carballo F. Carnesecchi R. Caron J. Castillo Castellanos F. Catalano C. Ceballos Sanchez I. Chakaberia P. Chakraborty S. Chandra S. Chapeland M. Chartier S. Chattopadhyay T. G. Chavez T. Cheng C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato E. S. Chizzali J. Cho S. Cho P. Chochula P. Christakoglou C. H. Christensen P. Christianse Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Nuclear Physics Institute of the Czech Academy of Sciences Husinec-Řež Czech Republic Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Frankfurt Germany European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy INFN Sezione di Bologna Bologna Italy Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Faculty of Science P.J. Šafárik University Košice Slovak Republic Affiliated with an institute covered by a cooperation agreement with CERN Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Bologna Italy University of Houston Houston Texas USA Department of Physics and Technology University of Bergen Bergen Norway INFN Sezione di Cagliari Cagliari Italy Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania Westfälische Wilhelms-Universität Münster Institut für Kernphysik Munster Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany INFN Sezione di Padova Padova Italy Lawrence Berkeley National Laboratory Berkeley California USA SUBATECH IMT Atlantique Nantes Université CNRS-IN2P3 Nantes France Laboratoire de Physique Subatomique et de Cosmologie Université Grenoble-Alpes CNRS-IN2P3 Grenoble France Department of Physics University of Oslo

The production of the ψ(2S) charmonium state was measured with ALICE in Pb-Pb collisions at sNN=5.02 TeV, in the dimuon decay channel. A significant signal was observed for the first time at LHC energies down to zer... 详细信息

关键词： Color confinement Relativistic heavy-ion collisions Quarkonia

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First Measurement of Antideuteron Number Fluctuations at Energies Available at the Large Hadron Collider

引用

physical Review Letters 2023年第4期131卷 041901-041901页

作者： S. Acharya D. Adamová A. Adler G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn I. Ahuja A. Akindinov M. Al-Turany D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali Y. Ali A. Alici N. Alizadehvandchali A. Alkin J. Alme G. Alocco T. Alt I. Altsybeev M. N. Anaam C. Andrei A. Andronic V. Anguelov F. Antinori P. Antonioli C. Anuj N. Apadula L. Aphecetche H. Appelshäuser S. Arcelli R. Arnaldi I. C. Arsene M. Arslandok A. Augustinus R. Averbeck S. Aziz M. D. Azmi A. Badalà Y. W. Baek X. Bai R. Bailhache Y. Bailung R. Bala A. Balbino A. Baldisseri B. Balis D. Banerjee Z. Banoo R. Barbera L. Barioglio M. Barlou G. G. Barnaföldi L. S. Barnby V. Barret L. Barreto C. Bartels K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne D. Battistini B. Batyunya D. Bauri J. L. Bazo Alba I. G. Bearden C. Beattie P. Becht D. Behera I. Belikov A. D. C. Bell Hechavarria R. Bellwied S. Belokurova V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov A. Berdnikova L. Bergmann M. G. Besoiu L. Betev P. P. Bhaduri A. Bhasin I. R. Bhat M. A. Bhat B. Bhattacharjee L. Bianchi N. Bianchi J. Bielčík J. Bielčíková J. Biernat A. Bilandzic G. Biro S. Biswas J. T. Blair D. Blau M. B. Blidaru N. Bluhme C. Blume G. Boca F. Bock T. Bodova A. Bogdanov S. Boi J. Bok L. Boldizsár A. Bolozdynya M. Bombara P. M. Bond G. Bonomi H. Borel A. Borissov H. Bossi E. Botta L. Bratrud P. Braun-Munzinger M. Bregant M. Broz G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler Z. Buthelezi J. B. Butt A. Bylinkin S. A. Bysiak M. Cai H. Caines A. Caliva E. Calvo Villar J. M. M. Camacho R. S. Camacho P. Camerini F. D. M. Canedo M. Carabas F. Carnesecchi R. Caron J. Castillo Castellanos F. Catalano C. Ceballos Sanchez I. Chakaberia P. Chakraborty S. Chandra S. Chapeland M. Chartier S. Chattopadhyay T. G. Chavez T. Cheng C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato E. S. Chizzali S. Cho P. Chochula P. Christakoglou C. H. Christensen P. Christiansen T. Chujo M. Ciacco C. Cicalo L. C Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Nuclear Physics Institute of the Czech Academy of Sciences Husinec-Řež Czech Republic Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Frankfurt Germany European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy INFN Sezione di Bologna Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Faculty of Science P.J. Šafárik University Košice Slovak Republic Affiliated with an institute covered by a cooperation agreement with CERN Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico COMSATS University Islamabad Islamabad Pakistan Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Bologna Italy University of Houston Houston Texas USA Department of Physics and Technology University of Bergen Bergen Norway INFN Sezione di Cagliari Cagliari Italy Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania Westfälische Wilhelms-Universität Münster Institut für Kernphysik Münster Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany INFN Sezione di Padova Padova Italy Lawrence Berkeley National Laboratory Berkeley California USA SUBATECH IMT Atlantique Nantes Université CNRS-IN2P3 Nantes France Department of Physics University of Oslo Oslo Norway Yale University New Haven Connecticut USA L

The first measurement of event-by-event antideuteron number fluctuations in high energy heavy-ion collisions is presented. The measurements are carried out at midrapidity (|η|<0.8) as a function of collision centrality in Pb-Pb collisions at sNN=5.02 TeV using the ALICE detector. A significant negative correlation between the produced antiprotons and antideuterons is observed in all collision centralities. The results are compared with a state-of-the-art coalescence calculation. While it describes the ratio of higher order cumulants of the antideuteron multiplicity distribution, it fails to describe quantitatively the magnitude of the correlation between antiproton and antideuteron production. On the other hand, thermal-statistical model calculations describe all the measured observables within uncertainties only for correlation volumes that are different with respect to those describing proton yields and a similar measurement of net-proton number fluctuations.

关键词： Hadron-hadron interactions

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Achieving a quantum smart workforce

arXiv

引用

arXiv 2020年

作者： Aiello, Clarice D. Awschalom, D.D. Bernien, Hannes Brower-Thomas, Tina Brown, Kenneth R. Brun, Todd A. Caram, Justin R. Chitambar, Eric Di Felice, Rosa Fox, Michael F.J. Haas, Stephan Holleitner, Alexander W. Hudson, Eric R. Hunt, Jeffrey H. Joynt, Robert Koziol, Scott Lewandowski, H.J. McClure, Douglas T. Palsberg, Jens Passante, Gina Pudenz, Kristen L. Richardson, Christopher J.K. Rosenberg, Jessica L. Ross, R.S. Saffman, Mark Singh, M. Steuerman, David W. Stark, Chad Thijssen, Jos Vamivakas, A. Nick Whitfield, James D. Zwickl, Benjamin M. Department of Electrical and Computer Engineering University of California Los Angeles Los AngelesCA90095 United States Pritzker School of Molecular Engineering University of Chicago ChicagoIL60637 United States Department of Physics University of Chicago ChicagoIL60637 United States Center for Molecular Engineering and Materials Science Division Argonne National Laboratory LemontIL60439 United States Howard University Graduate School WashingtonDC20059 United States Center for Integrated Quantum Materials Howard University PI WashingtonDC20059 United States Departments of Electrical and Computer Engineering Chemistry and Physics Duke University DurhamNC27708 United States Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States UCLA Department of Chemistry and Biochemistry Center for Quantum Science and Engineering University of California – Los Angeles Los AngelesCA90095 United States Department of Electrical and Computer Engineering University of Illinois Urbana-ChampaignIL61801 United States Department of Physics and Astronomy University of Southern California Los AngelesCA90089 United States JILA National Institute of Standards and Technology University of Colorado BoulderCO80309 United States Department of Physics University of Colorado BoulderCO80309 United States Department of Physics and Astronomy University of Southern California Los AngelesCA90089 United States Garching85748 Germany UCLA Center for Quantum Science and Engineering University of California – Los Angeles Los AngelesCA90095 United States Boeing Company El SegundoCA90245 United States Department of Physics University of Wisconsin-Madison MadisonWI53706 United States Department of Electrical and Computer Engineering Baylor University WacoTX76798 United States Department of Physics University of Colorado BoulderCO80309 United States IBM T.J. Watson Research Center Yorktown HeightsNY

Interest in building dedicated Quantum Information science and engineering (QISE) education programs has greatly expanded in recent years. These programs are inherently convergent, complex, often resource intensive and likely require collaboration with a broad variety of stakeholders. In order to address this combination of challenges, we have captured ideas from many members in the community. This manuscript not only addresses policy makers and funding agencies (both public and private and from the regional to the international level) but also contains needs identified by industry leaders and discusses the difficulties inherent in creating an inclusive QISE curriculum. We report on the status of eighteen post-secondary education programs in QISE and provide guidance for building new programs. Lastly, we encourage the development of a comprehensive strategic plan for quantum education and workforce development as a means to make the most of the ongoing substantial investments being made in QISE. Copyright © 2020, The Authors. All rights reserved.

关键词： Personnel

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