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arXiv 2019年

作者： Berkowitz, Evan Brantley, David McElvain, Kenneth Walker-Loud, André Chang, Chia Cheng Clark, M.A. Kurth, Thorsten Joó, Bálint Monge-Camacho, Henry Nicholson, Amy Rinaldi, Enrico Vranas, Pavlos Institut für Kernphysik Institute for Advanced Simulation Forschungszentrum Jülich Nuclear Science Division Lawrence Berkeley National Laboratory RIKEN NVIDIA Corporation National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory Jefferson Lab Department of Physics and Astronomy University of North Carolina RIKEN BNL Research Center Nuclear and Chemical Sciences Division Lawrence Livermore National Laboratory

Anchoring the nuclear interaction in QCD is a long-outstanding problem in nuclear physics. While the lattice community has made enormous progress in mesonic physics and single nucleon physics, continuum-limit physical-point multi-nucleon physics has remained out of reach. I will review CalLat’s strategy for multi-nucleon spectroscopy and our latest results. Copyright © 2019, The Authors. All rights reserved.

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A large-scale ENIGMA multisite replication study of brain age in depression

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Neuroimage: Reports 2022年第4期2卷 100149-100149页

作者： Han, Laura K.M. Dinga, Richard Leenings, Ramona Hahn, Tim Cole, James H. Aftanas, Lyubomir I. Amod, Alyssa R. Besteher, Bianca Colle, Romain Corruble, Emmanuelle Couvy-Duchesne, Baptiste Danilenko, Konstantin V. Fuentes-Claramonte, Paola Gonul, Ali Saffet Gotlib, Ian H. Goya-Maldonado, Roberto Groenewold, Nynke A. Hamilton, Paul Ichikawa, Naho Ipser, Jonathan C. Itai, Eri Koopowitz, Sheri-Michelle Li, Meng Okada, Go Okamoto, Yasumasa Churikova, Olga S. Osipov, Evgeny A. Penninx, Brenda W.J.H. Pomarol-Clotet, Edith Rodríguez-Cano, Elena Sacchet, Matthew D. Shinzato, Hotaka Sim, Kang Stein, Dan J. Uyar-Demir, Aslihan Veltman, Dick J. Schmaal, Lianne Centre for Youth Mental Health The University of Melbourne Parkville VIC Australia Orygen Parkville VIC Australia Department of Cognitive Science & Artificial Intelligence Tilburg University Tilburg Netherlands Institute for Translational Psychiatry University of Münster Münster Germany Faculty of Mathematics and Computer Science University of Münster Münster Germany Centre for Medical Image Computing Department of Computer Science University College London United Kingdom Dementia Research Centre Queen Square Institute of Neurology University College London United Kingdom Scientific Research Institute of Neuroscience and Medicine Novosibirsk Russian Federation Novosibirsk State University Novosibirsk Russian Federation Department of Psychiatry & Mental Health Neuroscience Institute University of Cape Town South Africa Department of Psychiatry and Psychotherapy Jena University Hospital Jena Germany Service Hospitalo-Universitaire de Psychiatrie de Bicêtre Mood Center Paris Saclay Assistance Publique-Hôpitaux de Paris Hôpitaux Universitaires Paris-Saclay Hôpital de Bicêtre Le Kremlin Bicêtre F-94275 France MOODS Team INSERM 1018 CESP (Centre de Recherche en Epidémiologie et Santé des Populations) Université Paris-Saclay Faculté de Médecine Paris-Saclay Le Kremlin Bicêtre F-94275 France Sorbonne Université Institut du Cerveau - Paris Brain Institute - ICM CNRS Inria Inserm AP-HP Hôpital de La Pitié Salpêtrière Paris F-75013 France Institute for Molecular Bioscience The University of Queensland St Lucia 4072 QLD Australia FIDMAG Hermanas Hospitalarias Research Foundation Barcelona Spain CIBERSAM Barcelona Spain SoCAT Lab Department of Psychiatry School of Medicine Ege University Izmir Turkey Department of Psychology Stanford University Stanford CA United States Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab) University Medical Center Göttingen Göttingen Germany Center for Social and Affective Neuroscience Department o

Background: Several studies have evaluated whether depressed persons have older appearing brains than their nondepressed peers. However, the estimated neuroimaging-derived “brain age gap” has varied from study to study, likely driven by differences in training and testing sample (size), age range, and used modality/features. To validate our previously developed ENIGMA brain age model and the identified brain age gap, we aim to replicate the presence and effect size estimate previously found in the largest study in depression to date (N = 2126 controls & N = 2675 cases;+1.08 years [SE 0.22], Cohen's d = 0.14, 95% CI: 0.08–0.20), in independent cohorts that were not part of the original study. Methods: A previously trained brain age model (***/enigma_brainage) based on 77 FreeSurfer brain regions of interest was used to obtain unbiased brain age predictions in 751 controls and 766 persons with depression (18–75 years) from 13 new cohorts collected from 20 different scanners. Meta-regressions were used to examine potential moderating effects of basic cohort characteristics (e.g., clinical and scan technical) on the brain age gap. Results: Our ENIGMA MDD brain age model generalized reasonably well to controls from the new cohorts (predicted age vs. age: r = 0.73, R² = 0.47, MAE = 7.50 years), although the performance varied from cohort to cohort. In these new cohorts, on average, depressed persons showed a significantly higher brain age gap of +1 year (SE 0.35) (Cohen's d = 0.15, 95% CI: 0.05–0.25) compared with controls, highly similar to our previous finding. Significant moderating effects of FreeSurfer version 6.0 (d = 0.41, p = 0.007) and Philips scanner vendor (d = 0.50, p < 0.0001) were found, leading to more positive effect size estimates. Conclusions: This study further validates our previously developed ENIGMA brain age algorithm. Importantly, we replicated the brain age gap in depression with a comparable effect size. Thus, two large-s

关键词： Biological aging Brain age Depression ENIGMA consortium Replication study

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β-decay half-lives of 55 neutron-rich isotopes beyond the N=82 shell gap

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Physical Review C 2020年第4期101卷 042801(R)-042801(R)页

作者： J. Wu S. Nishimura P. Möller M. R. Mumpower R. Lozeva C. B. Moon A. Odahara H. Baba F. Browne R. Daido P. Doornenbal Y. F. Fang M. Haroon T. Isobe H. S. Jung G. Lorusso B. Moon Z. Patel S. Rice H. Sakurai Y. Shimizu L. Sinclair P.-A. Söderström T. Sumikama H. Watanabe Z. Y. Xu A. Yagi R. Yokoyama D. S. Ahn F. L. Bello Garrote J. M. Daugas F. Didierjean N. Fukuda N. Inabe T. Ishigaki D. Kameda I. Kojouharov T. Komatsubara T. Kubo N. Kurz K. Y. Kwon S. Morimoto D. Murai H. Nishibata H. Schaffner T. M. Sprouse H. Suzuki H. Takeda M. Tanaka K. Tshoo Y. Wakabayashi Physics Division Argonne National Laboratory Argonne Illinois 60439 USA RIKEN Nishina Center 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan P. Moller Scientific Computing and Graphics Inc. P. O. Box 1440 Los Alamos New Mexico 87544 USA Theoretical Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA IPHC IN2P3/CNRS University of Strasbourg F-67037 Strasbourg Cedex 2 France CSNSM IN2P3/CNRS University Paris-Saclay F-91405 Orsay Campus France Faculty of Science Hoseo University Chung-Nam 31499 Republic of Korea Department of Physics Osaka University Machikaneyama-machi 1-1 Osaka 560-0043 Toyonaka Japan School of Computing Engineering and Mathematics University of Brighton Brighton BN2 4GJ United Kingdom Department of Physics Chung-Ang University Seoul 06974 Republic of Korea National Physical Laboratory NPL Teddington Middlesex TW11 0LW United Kingdom Department of Physics University of Surrey Guildford GU2 7XH United Kingdom Department of Physics Korea University Seoul 02841 Republic of Korea Department of Physics University of Tokyo Hongo 7-3-1 Bunkyo-ku 113-0033 Tokyo Japan Department of Physics University of York Heslington York YO10 5DD United Kingdom IRCNPC School of Physics and Nuclear Energy Engineering Beihang University Beijing 100191 China Department of Physics University of Hong Kong Hong Kong Center for Nuclear Study (CNS) University of Tokyo Wako-shi Saitama 351-0198 Japan University of Oslo P. O. Box 1072 Blindern 0316 Oslo Norway CEA DAM DIF F-91297 Arpajon Cedex France PHC CNRS IN2P3 and University of Strasbourg F-67037 Strasbourg Cedex 2 France GSI Helmholtzzentrum für Schwerionenforschung GmbH 64291 Darmstadt Germany Rare Isotope Science Project Institute for Basic Science Daejeon 34047 Republic of Korea Department of Physics University of Notre Dame Notre Dame Indiana 46556 USA Research Center for Nuclear Physics (RCNP) Osaka University Ibaraki Osaka 567-0047 Japan

The β-decay half-lives of 55 neutron-rich nuclei Sn134−139, Sb134−142, Te137−144, I140−146, Xe142−148, Cs145−151, Ba148−153, and La151−155 were measured at the Radioactive Isotope Beam Factory employing the projectile fission fragments of U238. The nuclear level structure, which relates to deformation, has a large effect on the half-lives. The impact of newly measured half-lives on modeling the astrophysical origin of the heavy elements is studied in the context of r process nucleosynthesis. For a wide variety of astrophysical conditions, including those in which fission recycling occurs, the half-lives have an important local impact on the second (A ≈ 130) peak.

关键词： Beta decay Lifetimes & widths Nucleosynthesis in explosive environments r process 150 ≤ A ≤ 189 90 ≤ A ≤ 149 Collective models Nuclear structure & decays Radiation detectors Radioactive beams Spectrometers & spectroscopic techniques

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Efficient adaptive exponential time integrators for nonlinear Schrödinger equations with nonlocal potential

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Journal of Computational Mathematics and Data Science 2021年 1卷

作者： Auzinger, Winfried Březinová, Iva Grosz, Alexander Hofstätter, Harald Koch, Othmar Sato, Takeshi Institute of Analysis and Scientific Computing TU Wien Wiedner Hauptstraße 8-10 Wien 1040 Austria Institute of Theoretical Physics TU Wien Wiedner Hauptstraße 8-10 Wien 1040 Austria Institut für Mathematik Universität Wien Oskar-Morgensternplatz 1 Wien 1090 Austria Department of Nuclear Engineering and Management University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Photon Science Center Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Research Institute for Photon Science and Laser Technology The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Department of Mathematics Technical University of Munich Arcisstraße 21 München D-80333 Germany

The performance of exponential-based numerical integrators for the time propagation of the equations associated with the multiconfiguration time-dependent Hartree–Fock (MCTDHF) method for the approximation of the multi-particle Schrödinger equation in one space dimension is assessed. Among the most popular integrators such as Runge–Kutta methods, time-splitting, exponential integrators and Lawson methods, exponential Lawson multistep methods with one predictor–corrector step provide the best stability and accuracy at the least effort. This assessment is based on the observation that the evaluation of the nonlocal terms associated with the potential is the computationally most demanding part of such a calculation in our setting. In addition, the predictor step provides an estimator for the local time-stepping error, thus allowing for adaptive time-stepping which reflects the smoothness of the solution and enables to reliably control the accuracy of a computation in a robust way, without the need to guess an optimal stepsize a priori. One-dimensional model examples are studied to compare different time integrators and demonstrate the successful application of our adaptive methods. © 2021 The Author(s)

关键词： Adaptive stepsize selection Exponential integrators Lawson methods Local error estimators Multiconfiguration time-dependent Hartree–Fock method Splitting methods

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High-precision search for dark photon dark matter with the Parkes Pulsar Timing Array

arXiv

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arXiv 2021年

作者： Xue, Xiao Xia, Zi-Qing Zhu, Xingjiang Zhao, Yue Shu, Jing Yuan, Qiang Bhat, N.D. Ramesh Cameron, Andrew D. Dai, Shi Feng, Yi Goncharov, Boris Hobbs, George Howard, Eric Manchester, Richard N. Parthasarathy, Aditya Reardon, Daniel J. Russell, Christopher J. Shannon, Ryan M. Spiewak, Renée Thyagarajan, Nithyanandan Wang, Jingbo Zhang, Lei Zhang, Songbo II. Institute of Theoretical Physics Universität Hamburg Hamburg22761 Germany Key Laboratory of Dark Matter and Space Astronomy Purple Mountain Observatory Chinese Academy of Sciences Nanjing210023 China Advanced Institute of Natural Sciences Beijing Normal University Zhuhai519087 China School of Physics and Astronomy Monash University ClaytonVIC3800 Australia OzGrav ARC Centre of Excellence for Gravitational Wave Discovery HawthornVIC3122 Australia Department of Physics and Astronomy University of Utah Salt Lake CityUT84112 United States CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Particle Physics Beijing100049 China Center for High Energy Physics Peking University Beijing100871 China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China International Centre for Theoretical Physics Asia-Pacific Hangzhou Beijing China School of Astronomy and Space Science University of Science and Technology of China Hefei230026 China International Centre for Radio Astronomy Research Curtin University BentleyWA6102 Australia Australia Telescope National Facility CSIRO Astronomy and Space Science P.O. Box 76 EppingNSW1710 Australia Centre for Astrophysics and Supercomputing Swinburne University of Technology P.O. Box 218 HawthornVIC3122 Australia School of Science Western Sydney University Locked Bag 1797 Penrith South DCNSW2751 Australia Zhejiang Lab Zhejiang Hangzhou311121 China Macquarie University Department of Physics and Astronomy SydneyNSW2109 Australia Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany CSIRO Scientific Computing Australian Technology Park Locked Bag 9013 AlexandriaNSW1435 Australia Jodrell

The nature of dark matter remains obscure in spite of decades of experimental efforts. The mass of dark matter candidates can span a wide range, and its coupling with the Standard Model sector remains uncertain. All these unknowns make the detection of dark matter extremely challenging. Ultralight dark matter, with m ∼ 10−22 eV, is proposed to reconcile the disagreements between observations and predictions from simulations of small-scale structures in the cold dark matter paradigm, while remaining consistent with other observations. Because of its large de Broglie wavelength and large local occupation number within galaxies, ultralight dark matter behaves like a coherently oscillating background field with an oscillating frequency dependent on its mass. If the dark matter particle is a spin-1 dark photon, such as the U(1)B or U(1)B−L gauge boson, it can induce an external oscillating force and lead to displacements of test masses. Such an effect would be observable in the form of periodic variations in the arrival times of radio pulses from highly stable millisecond pulsars. In this study, we search for evidence of ultralight dark photon dark matter using 14-year high-precision observations of 26 pulsars collected with the Parkes Pulsar Timing Array. While no statistically significant signal is found, we place constraints on coupling constants for the U(1)B and U(1)B−L dark photon dark matter. Compared with other experiments, the limits on the dimensionless coupling constant Ε achieved in our study are improved by up to two orders of magnitude when the dark photon mass is smaller than 3 × 10−22 eV (10−22 eV) for the U(1)B (U(1)B−L) scenario. © 2021, CC BY.

关键词： Photons

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Spectral properties of hyperbolic nanonetworks with tunable aggregation of simplexes

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Physical Review E 2019年第1期100卷 012309-012309页

作者： Marija Mitrović Dankulov Bosiljka Tadić Roderick Melnik Scientific Computing Laboratory Center for the Study of Complex Systems Institute of Physics Belgrade University of Belgrade Pregrevica 118 11080 Belgrade Serbia Department of Theoretical Physics Jožef Stefan Institute Jamova 39 1000 Ljubljana Slovenia Complexity Science Hub Vienna Josephstadterstrasse 39 1080 Vienna Austria MS2Discovery Interdisciplinary Research Institute M2NeT Laboratory and Department of Mathematics Wilfrid Laurier University 75 University Ave W Waterloo Ontario Canada N2L 3C5 BCAM–Basque Center for Applied Mathematics Alameda de Mazarredo 14 E-48009 Bilbao Spain

Cooperative self-assembly is a ubiquitous phenomenon found in natural systems which is used for designing nanostructured materials with new functional features. Its origin and mechanisms, leading to improved functionality of the assembly, have attracted much attention from researchers in many branches of science and engineering. These complex structures often come with hyperbolic geometry; however, the relation between the hyperbolicity and their spectral and dynamical properties remains unclear. Using the model of aggregation of simplexes introduced by Šuvakov et al. [Sci. Rep. 8, 1987 (2018)], here we study topological and spectral properties of a large class of self-assembled structures or nanonetworks consisting of monodisperse building blocks (cliques of size n=3,4,5,6) which self-assemble via sharing the geometrical shapes of a lower order. The size of the shared substructure is tuned by varying the chemical affinity ν such that for significant positive ν sharing the largest face is the most probable, while for ν<0, attaching via a single node dominates. Our results reveal that, while the parameter of hyperbolicity remains δmax=1 across the assemblies, their structure and spectral dimension ds vary with the size of cliques n and the affinity when ν≥0. In this range, we find that ds>4 can be reached for n≥5 and sufficiently large ν. For the aggregates of triangles and tetrahedra, the spectral dimension remains in the range ds∈[2,4), as well as for the higher cliques at vanishing affinity. On the other end, for ν<0, we find ds≂1.57 independently on n. Moreover, the spectral distribution of the normalized Laplacian eigenvalues has a characteristic shape with peaks and a pronounced minimum, representing the hierarchical architecture of the simplicial complexes. These findings show how the structures compatible with complex dynamical properties can be assembled by controlling the higher-order connectivity among the building blocks.

关键词： Classical statistical mechanics Geometric & topological phases Network structure Synchronization transition Topological tools

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Questaal: A package of electronic structure methods based on the linear muffin-tin orbital technique

arXiv

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arXiv 2019年

作者： Pashov, Dimitar Acharya, Swagata Lambrecht, Walter R.L. Jackson, Jerome Belashchenko, Kirill D. Chantis, Athanasios Jamet, Francois van Schilfgaarde, Mark Department of Physics King's College London Strand LondonWC2R 2LS United Kingdom Department of Physics Case Western Reserve University ClevelandOH44106 United States Scientific Computing Department STFC Daresbury Laboratory WarringtonWA4 4AD United Kingdom Department of Physics and Astronomy Nebraska Center for Materials and Nanoscience University of Nebraska-Lincoln LincolnNE68588 United States American Physical Society 1 Research Road RidgeNY11961 United States

This paper summarises the theory and functionality behind Questaal, an open-source suite of codes for calculating the electronic structure and related properties of materials from first principles. The formalism of the linearised muffin-tin orbital (LMTO) method is revisited in detail and developed further by the introduction of short-ranged tight-binding basis functions for full-potential calculations. The LMTO method is presented in both Green's function and wave function formulations for bulk and layered systems. The suite's full-potential LMTO code uses a sophisticated basis and augmentation method that allows an efficient and precise solution to the band problem at different levels of theory, most importantly density functional theory, LDA+U, quasi-particle self-consistent GW and combinations of these with dynamical mean field theory. This paper details the technical and theoretical bases of these methods, their implementation in Questaal, and provides an overview of the code's design and capabilities. Copyright © 2019, The Authors. All rights reserved.

关键词： Electronic structure

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Erratum to: Search for diboson resonances in hadronic final states in 139 fb−1 of pp collisions at = 13 TeV with the ATLAS detector

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Journal of High Energy physics 2020年第6期2020卷 1-19页

作者： Aad, G. Abbott, B. Abbott, D. C. Abdinov, O. Abed Abud, A. Abeling, K. Abhayasinghe, D. K. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B. S. Achkar, B. Adachi, S. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adersberger, M. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Al Khoury, K. Alberghi, G. L. Albert, J. Alconada Verzini, M. J. Alderweireldt, S. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexandre, D. Alexopoulos, T. Alfonsi, A. Alhroob, M. Ali, B. Alimonti, G. Alison, J. Alkire, S. P. Allaire, C. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alvarez Estevez, M. Álvarez Piqueras, D. Alviggi, M. G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amrouche, C. S. An, F. Anastopoulos, C. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antonelli, M. Antrim, D. J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aperio Bella, L. Arabidze, G. Araque, J. P. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armitage, L. J. Armstrong, A. Arnaez, O. Arnold, H. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Augsten, K. Avolio, G. Avramidou, R. Ayoub, M. K. Azoulay, A. M. Azuelos, G. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bajic, M. Bakalis, C. Baker, O. K. Bakker, P. J. Bakshi Gupta, D. Balaji, S. Baldin, E. M. Balek, P. Balli, F. CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Department of Physics University of Massachusetts Amherst United States of America Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan INFN Sezione di Pavia Pavia Italy Dipartimento di Fisica Università di Pavia Pavia Italy II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom 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 High Energy Physics Division Argonne National Laboratory Argonne United States of America INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics University of Tokyo Tokyo Japan Institut für Physik Universität Mainz Mainz Germany LAL Université Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Bogazici University Istanbul Turkey Istanbul University Dept. of Physics Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cr

A mistake was identified for the paper [1] in the treatment of the radion [2] cross-sections, which resulted in multiple changes.

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LifeTime and improving European healthcare through cell-based interceptive medicine (vol 587, pg 377, 2020)

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NATURE 2021年第7852期592卷 E8-E8页

作者： Rajewsky, Nikolaus Almouzni, Genevieve Gorski, Stanislaw A. Aerts, Stein Amit, Ido Bertero, Michela G. Bock, Christoph Bredenoord, Annelien L. Cavalli, Giacomo Chiocca, Susanna Clevers, Hans De Strooper, Bart Eggert, Angelika Ellenberg, Jan Fernandez, Xose M. Figlerowicz, Marek Gasser, Susan M. Hubner, Norbert Kjems, Jorgen Knoblich, Jurgen A. Krabbe, Grietje Lichter, Peter Linnarsson, Sten Marine, Jean-Christophe Marioni, John C. Marti-Renom, Marc A. Netea, Mihai G. Nickel, Dorthe Nollmann, Marcelo Novak, Halina R. Parkinson, Helen Piccolo, Stefano Pinheiro, Ines Pombo, Ana Popp, Christian Reik, Wolf Roman-Roman, Sergio Rosenstiel, Philip Schultze, Joachim L. Stegle, Oliver Tanay, Amos Testa, Giuseppe Thanos, Dimitris Theis, Fabian J. Torres-Padilla, Maria-Elena Valencia, Alfonso Vallot, Celine van Oudenaarden, Alexander Vidal, Marie Voet, Thierry Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany Charité-Universitätsmedizin Berlin Germany Berlin Institute of Health (BIH) Berlin Germany German Center for Cardiovascular Research (DZHK) Partner Site Berlin Berlin Germany Institute for Biology Humboldt University of Berlin Berlin Germany Cardiovascular and Metabolic Sciences Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Berlin Germany Department of Pediatric Oncology/Hematology Charité-Universitätsmedizin Berlin Berlin Germany Institut Curie CNRS PSL Research University Sorbonne Université Nuclear Dynamics Unit Equipe Labellisée Ligue contre le cancer Paris France VIB Center for Brain and Disease Research Leuven Belgium Department of Human Genetics KU Leuven Leuven Belgium Department of Neurosciences KU Leuven Leuven Belgium UK Dementia Research Institute at UCL University College London London UK Wellcome Sanger Institute Wellcome Genome Campus Cambridge UK Department of Immunology Weizmann Institute of Science Rehovot Israel Centre for Genomic Regulation (CRG) Barcelona Institute of Science and Technology Barcelona Spain CNAG-CRG Centre for Genomic Regulation Barcelona Institute of Science and Technology Barcelona Spain Universitat Pompeu Fabra Barcelona Spain ICREA Barcelona Spain CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna Austria Department of Laboratory Medicine Medical University of Vienna Vienna Austria Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases Vienna Austria Department of Medical Humanities Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands Institute of Human Genetics UMR 9002 CNRS and University of Montpellier Montpellier France Department of Experimental Oncology IEO European Institute of Oncology IRCCS Milan Italy Department of Oncology and Hemato

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The stochastic feynman-hellmann method

arXiv

引用

arXiv 2019年

作者： Gambhir, Arjun Singh Brantley, David Vranas, Pavlos Berkowitz, Evan Chang, Chia Cheng Clark, M.A. Kurth, Thorsten Walker-Loud, André Monahan, Chris Nicholson, Amy Nuclear and Chemical Sciences Division Lawrence Livermore National Laboratory Institut fur Kernphysik Institute for Advanced Simulation Forschungszentrum Julich RIKEN 2-1 Hirosawa NVIDIA Corporation National Energy Research Scientific Computing Center Nuclear Science Division Lawrence Berkeley National Laboratory Institute for Nuclear Theory University of Washington Department of Physics and Astronomy University of North Carolina

The Feynman-Hellmann method, as implemented by Bouchard et al. [1612.06963], was recently employed successfully to determine the nucleon axial charge. A limitation of the method was the restriction to a single operator and a single momentum during the computation of each "Feynman-Hellmann" propagator. By using stochastic techniques to estimate the all-to-all propagator, we relax this constraint and demonstrate the successful implementation of this new method. We show reproduction of the axial charge on a test ensemble and non-zero momentum transfer points of the axial and vector form factors. Copyright © 2019, The Authors. All rights reserved.

关键词： Stochastic systems

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