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On the effect of non-Gaussian lensing deflections on CMB lensing measurements

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arXiv 2018年

作者： Böhm, Vanessa Sherwin, Blake D. Liu, Jia Hill, J. Colin Schmittfull, Marcel Namikawa, Toshiya Berkeley Center for Cosmological Physics University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA93720 United States Department of Applied Mathematics and Theoretical Physics University of Cambridge Wilberforce Road CambridgeCB3 0WA United Kingdom Department of Astrophysical Sciences Princeton University PrincetonNJ08544 United States Center for Computational Astrophysics Flatiron Institute 162 5th Avenue 10010 New YorkNY United States Institute for Advanced Study Einstein Drive PrincetonNJ08540 United States Leung Center for Cosmology and Particle Astrophysics National Taiwan University Taipei10617 Taiwan

We investigate the impact of non-Gaussian lensing deflections on measurements of the CMB lensing power spectrum. We find that the false assumption of their Gaussianity significantly biases these measurements in current and future experiments at the percent level. The bias is detected by comparing CMB lensing reconstructions from simulated CMB data lensed with Gaussian deflection fields to reconstructions from simulations lensed with fully non-Gaussian deflection fields. The non-Gaussian deflections are produced by ray-tracing through snapshots of an N-body simulation and capture both the non-Gaussianity induced by non-linear structure formation and by multiple correlated deflections. We find that the amplitude of the measured bias is in agreement with analytical predictions by Böhm et al. 2016. The bias is largest in temperature-based measurements and we do not find evidence for it in measurements from a combination of polarization fields (EB,EB). We argue that the non-Gaussian bias should be even more important for measurements of cross-correlations of CMB lensing with low-redshift tracers of large-scale structure. Copyright © 2018, The Authors. All rights reserved.

关键词： Deflection (structures)

Constraints on black-hole charges with the 2017 EHT observations of M87

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arXiv 2021年

作者： Kocherlakota, Prashant Rezzolla, Luciano Falcke, Heino Fromm, Christian M. Kramer, Michael Mizuno, Yosuke Nathanail, Antonios Olivares, Héctor Younsi, Ziri Akiyama, Kazunori Alberdi, Antxon Alef, Walter Carlos Algaba, Juan Anantua, Richard Asada, Keiichi Azulay, Rebecca Baczko, Anne-Kathrin Ball, David Baloković, Mislav Barrett, John Benson, Bradford A. Bintley, Dan Blackburn, Lindy Blundell, Raymond Boland, Wilfred Bouman, Katherine L. Bower, Geoffrey C. Boyce, Hope Bremer, Michael Brinkerink, Christiaan D. Brissenden, Roger Britzen, Silke Broderick, Avery E. Broguiere, Dominique Bronzwaer, Thomas Byun, Do-Young Carlstrom, John E. Chael, Andrew Chan, Chi-Kwan Chatterjee, Shami Chatterjee, Koushik Chen, Ming-Tang Chen, Yongjun Chesler, Paul M. Cho, Ilje Christian, Pierre Conway, John E. Cordes, James M. Crawford, Thomas M. Crew, Geoffrey B. Cruz-Osorio, Alejandro Cui, Yuzhu Davelaar, Jordy de Laurentis, Mariafelicia Deane, Roger Dempsey, Jessica Desvignes, Gregory Doeleman, Sheperd S. Eatough, Ralph P. Farah, Joseph Fish, Vincent L. Fomalont, Ed Fraga-Encinas, Raquel Friberg, Per Alyson Ford, H. Fuentes, Antonio Galison, Peter Gammie, Charles F. García, Roberto Gentaz, Olivier Georgiev, Boris Goddi, Ciriaco Gold, Roman Gómez, José L. Gómez-Ruiz, Arturo I. Gu, Minfeng Gurwell, Mark Hada, Kazuhiro Haggard, Daryl Hecht, Michael H. Hesper, Ronald Ho, Luis C. Ho, Paul Honma, Mareki Huang, Chih-Wei L. Huang, Lei Hughes, David H. Ikeda, Shiro Inoue, Makoto Issaoun, Sara James, David J. Jannuzi, Buell T. Janssen, Michael Jeter, Britton Jiang, Wu Jimenez-Rosales, Alejandra Johnson, Michael D. Jorstad, Svetlana Jung, Taehyun Karami, Mansour Karuppusamy, Ramesh Kawashima, Tomohisa Keating, Garrett K. Kettenis, Mark Kim, Dong-Jin Kim, Jae-Young Kim, Jongsoo Kim, Junhan Kino, Motoki Yi Koay, Jun Kofuji, Yutaro Koch, Patrick M. Koyama, Shoko Kramer, Carsten Krichbaum, Thomas P. Kuo, Cheng-Yu Lauer, Tod R. Lee, Sang-Sung Levis, Aviad Li, Yan-Rong Li, Zhiyuan Lindqvist, Michael Lico, Rocco Lindahl, Greg Liu, Jun Liu, Kuo Liuzzo, Institut für Theoretische Physik Goethe-Universität Max-von-Laue-Str. 1 Frankfurt60438 Germany Frankfurt Institute for Advanced Studies Ruth-Moufang-Str. 1 Frankfurt60438 Germany School of Mathematics Trinity College Dublin 2 Ireland Radboud University P.O. Box 9010 Nijmegen6500 GL Netherlands Black Hole Initiative at Harvard University 20 Garden Street CambridgeMA02138 United States Center for Astrophysics — Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Institut für Theoretische Physik Goethe-Universität Frankfurt Max-von-Laue-Straße 1 Frankfurt am MainD-60438 Germany Department of Physics National and Kapodistrian University of Athens Panepistimiopolis ZografosGR 15783 Greece Mullard Space Science Laboratory University College London Holmbury St. Mary Dorking SurreyRH5 6NT United Kingdom Massachusetts Institute of Technology Haystack Observatory 99 Millstone Road WestfordMA01886 United States National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n GranadaE-18008 Spain Department of Physics Faculty of Science University of Malaya Kuala Lumpur50603 Malaysia Center for Computational Astrophysics Flatiron Institute 162 Fifth Avenue New YorkNY10010 United States Institute of Astronomy and Astrophysics Academia Sinica 11F of Astronomy-Mathematics Building AS/NTU No. 1 Sec. 4 Roosevelt Rd Taipei10617 Taiwan Departament d’Astronomia i Astrofísica Universitat de València C. Dr. Moliner 50 Burjassot ValènciaE-46100 Spain Observatori Astronòmic Universitat de València C. Catedrático José Beltrán 2 PaternaValènciaE-46980 Spain Steward Observatory and Department of Astronomy University of Arizona 933 N. Cherry Ave. Tucson

Our understanding of strong gravity near supermassive compact objects has recently improved thanks to the measurements made by the Event Horizon Telescope (EHT). We use here the M87* shadow size to infer constraints on the physical charges of a large variety of nonrotating or rotating black holes. For example, we show that the quality of the measurements is already sufficient to rule out that M87* is a highly charged dilaton black hole. Similarly, when considering black holes with two physical and independent charges, we are able to exclude considerable regions of the space of parameters for the doubly-charged dilaton and the Sen black holes. Copyright © 2021, The Authors. All rights reserved.

关键词： Gravitation

WannierTools: An open-source software package for novel topological materials

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arXiv 2017年

作者： Wu, QuanSheng Zhang, ShengNan Song, Hai-Feng Troyer, Matthias Soluyanov, Alexey A. Theoretische Physik and Station Q Zurich ETH Zurich Zurich8093 Switzerland Institute of Physics Chinese Academy of Sciences Beijing100190 China Institute of Applied Physics and Computational Mathematics Beijing100094 China Department of Physics St. Petersburg State University St. Petersburg199034 Russia

We present an open-source software package WannierTools, a tool for investigation of novel topological materials. This code works in the tight-binding framework, which can be generated by another software package Wannier90 [1]. It can help to classify the topological phase of a given materials by calculating the Wilson loop, and can get the surface state spectrum which is detected by angle resolved photoemission (ARPES) and in scanning tunneling microscopy (STM) experiments. It also identifies positions of Weyl/Dirac points and nodal line structures, calculates the Berry phase around a closed momentum loop and Berry curvature in a part of the Brillouin zone(BZ). Copyright © 2017, The Authors. All rights reserved.

关键词： Scanning tunneling microscopy

Topological crystalline antiferromagnetic state in tetragonal FeS

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Physical Review B 2017年第16期96卷 165102-165102页

作者： Ningning Hao Fawei Zheng Ping Zhang Shun-Qing Shen Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory Chinese Academy of Sciences Hefei 230031 Anhui China Collaborative Innovation Center of Advanced Microstructures Nanjing University Jiangsu Province 210093 China Institute of Applied Physics and Computational Mathematics Beijing 100088 China Beijing Computational Science Research Center Beijing 100193 China Department of Physics The University of Hong Kong Pokfulam Road Hong Kong China

Integration between magnetism and topology is an exotic phenomenon in condensed-matter physics. Here, we propose an exotic phase named topological crystalline antiferromagnetic state, in which antiferromagnetism intrinsically integrates with nontrivial topology, and we suggest such a state can be realized in tetragonal FeS. A combination of first-principles calculations and symmetry analyses shows that the topological crystalline antiferromagnetic state arises from band reconstruction induced by pair checkerboard antiferromagnetic order together with band-gap opening induced by intrinsic spin-orbit coupling in tetragonal FeS. The topological crystalline antiferromagnetic state is protected by the product of fractional translation symmetry, mirror symmetry, and time-reversal symmetry, and presents some unique features. In contrast to strong topological insulators, the topological robustness is surface dependent. These findings indicate that nontrivial topological states could emerge in pure antiferromagnetic materials, which sheds new light on potential applications of topological properties in fast-developing antiferromagnetic spintronics.

关键词： Antiferromagnetism Superconductivity Topological materials Chalcogenides First-principles calculations

A case study competition among methods for analyzing large spatial data

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arXiv 2017年

作者： Heaton, Matthew J. Datta, Abhirup Finley, Andrew O. Furrer, Reinhard Guhaniyogi, Rajarshi Gerber, Florian Gramacy, Robert B. Guinness, Joseph Hammerling, Dorit Katzfuss, Matthias Lindgren, Finn Nychka, Douglas Sun, Furong Zammit-Mangion, Andrew Department of Statistics Brigham Young University 223 TMCB ProvoUT84602 United States Department of Biostatistics Johns Hopkins University 615 N. Wolfe Street BaltimoreMD21205 United States Department of Forestry and Geography Michigan State University 126 Natural Resources Building Each LansingMI48824 Department of Mathematics Department of Computational Science University of Zurich Switzerland Department of Applied Mathematics & Statistics University of California Santa Cruz 1156 High Street SOE2 Santa CruzCA95064 United States Department of Mathematics University of Zurich Switzerland Department of Statistics Virginia Tech Department of Statistics [MC0439 Hutcheson Hall 250 Drillfield Drive BlacksburgVA24061 United States Department of Statistics North Carolina State University Campus Box 8203 2311 Stinson Drive RaleighNC27695 Institute for Mathematics Applied to Geosciences National Center for Atmospheric Research BoulderCO80305 United States Department of Statistics Texas A&M University College StationTX77843 United States School of Mathematics University of Edinburgh EdinburghEH9 3FD United Kingdom Department of Statistics Virginia Tech Hutcheson Hall 250 Drillfield Drive BlacksburgVA24061 United States School of Mathematics and Applied Statistics University of Wollongong NSW2522 Australia

The Gaussian process is an indispensable tool for spatial data analysts. The onset of the "big data" era, however, has lead to the traditional Gaussian process being computationally infeasible for modern spatial data. As such, various alternatives to the full Gaussian process that are more amenable to handling big spatial data have been proposed. These modern methods often exploit low rank structures and/or multi-core and multi-threaded computing environments to facilitate computation. This study provides, first, an introductory overview of several methods for analyzing large spatial data. Second, this study describes the results of a predictive competition among the described methods as implemented by different groups with strong expertise in the methodology. Specifically, each research group was provided with two training datasets (one simulated and one observed) along with a set of prediction locations. Each group then wrote their own implementation of their method to produce predictions at the given location and each which was subsequently run on a common computing environment. The methods were then compared in terms of various predictive diagnostics. Supplementary materials regarding implementation details of the methods and code are available for this article online. Copyright © 2017, The Authors. All rights reserved.

关键词： Big data

P-wave velocity prediction in porous medium with liquid-pocket patchy saturation

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applied mathematics and Mechanics(English Edition) 2015年第11期36卷 1427-1440页

作者： Jiawei LIU Weitao SUN Jing BA Zhou Pei-Yuan Center for Applied Mathematics Tsinghua University Department of Computational Geophysics Xi'an Jiaotong University

It becomes increasingly clear that non-uniform distribution of immiscible fluids in porous rock is particularly relevant to seismic wave dispersion. White proposed a patchy saturation model in 1975, in which spherical gas pockets were located at the center of a liquid saturated cube. For an extremely light and compressible inner gas, the physical properties can be approximated by a vacuum with White＇s model. The model successfully analyzes the dispersion phenomena of a P-wave velocity in gas-water- saturated rocks. In the case of liquid pocket saturation, e.g., an oil-pocket surrounded by a water saturated host matrix, the light fluid-pocket assumption is doubtful, and few works have been reported in White＇s framework. In this work, Poisson＇s ratio, the bulk modulus, and the effective density of a dual-liquid saturated medium are formulated for the heterogeneous porous rocks containing liquid-pockets. The analysis of the difference between the newly derived bulk modulus and that of White＇s model shows that the effects of liquid-pocket saturation do not disappear unless the porosity approaches zero. The inner pocket fluid can no longer be ignored. The improvements of the P-wave velocity predictions are illustrated with two examples taken from experiments, i.e., the P-wave velocity in the sandstone saturated by oil and brine and the P-wave velocity for heavy oils and stones at different temperatures.

关键词： White＇s model porous medium P-wave dispersion liquid pocket

An energy-based equilibrium contact angle boundary condition on jagged surfaces for phase-field methods

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arXiv 2017年

作者： Frank, Florian Liu, Chen Scanziani, Alessio Alpak, Faruk O. Riviere, Beatrice Rice University Department of Computational and Applied Mathematics 6100 Main Street HoustonTX77005 United States Shell Technology Center 3333 Highway 6 South HoustonTX77082 United States Imperial College London Department of Earth Science and Engineering LondonSW7 2AZ United Kingdom

We consider an energy-based boundary condition to impose an equilibrium wetting angle for the Cahn-Hilliard-Navier-Stokes phase-field model on voxel-set-type computational domains. These domains typically stem from the µCT imaging of porous rock and approximate a (on µm scale) smooth domain with a certain resolution. Planar surfaces that are perpendicular to the main axes are naturally approximated by a layer of voxels. However, planar surfaces in any other directions and curved surfaces yield a jagged / rough surface approximation by voxels. For the standard Cahn-Hilliard formulation, where the contact angle between the diffuse interface and the domain boundary (fluid-solid interface / wall) is 90◦, jagged surfaces have no impact on the contact angle. However, a prescribed contact angle smaller or larger than 90◦ on jagged voxel surfaces is amplified in either direction. As a remedy, we propose the introduction of surface energy correction factors for each fluid-solid voxel face that counterbalance the difference of the voxel-set surface area with the underlying smooth one. The discretization of the model equations is performed with the discontinuous Galerkin method, however, the presented semi-analytical approach of correcting the surface energy is equally applicable to other direct numerical methods such as finite elements, finite volumes, or finite differences, since the correction factors appear in the strong formulation of the model. Copyright © 2017, The Authors. All rights reserved.

关键词： Porous materials

Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Modeling Uncertainty

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arXiv 2021年

作者： Secco, Lucas F. Samuroff, S. Krause, E. Jain, B. Blazek, J. Raveri, M. Campos, A. Amon, A. Chen, A. Doux, C. Choi, A. Gruen, D. Bernstein, G.M. Chang, C. DeRose, J. Myles, J. Ferté, A. Lemos, P. Huterer, D. Prat, J. Troxel, M.A. MacCrann, N. Liddle, A.R. Kacprzak, T. Fang, X. Sánchez, C. Pandey, S. Dodelson, S. Chintalapati, P. Hoffmann, K. Alarcon, A. Alves, O. Andrade-Oliveira, F. Baxter, E.J. Bechtol, K. Becker, M.R. Brandao-Souza, A. Camacho, H. Carnero Rosell, A. Carrasco Kind, M. Cawthon, R. Cordero, J.P. Crocce, M. Davis, C. Di Valentino, E. Drlica-Wagner, A. Eckert, K. Eifler, T.F. Elidaiana, M. Elsner, F. Elvin-Poole, J. Everett, S. Fosalba, P. Friedrich, O. Gatti, M. Giannini, G. Gruendl, R.A. Harrison, I. Hartley, W.G. Herner, K. Huang, H. Huff, E.M. Jarvis, M. Jeffrey, N. Kuropatkin, N. Leget, P.-F. Muir, J. McCullough, J. Navarro Alsina, A. Omori, Y. Park, Y. Porredon, A. Rollins, R. Roodman, A. Rosenfeld, R. Ross, A.J. Rykoff, E.S. Sanchez, J. Sevilla-Noarbe, I. Sheldon, E.S. Shin, T. Tutusaus, I. Varga, T.N. Weaverdyck, N. Wechsler, R.H. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T.M.C. Aguena, M. Allam, S. Annis, J. Bacon, D. Bertin, E. Bhargava, S. Bridle, S.L. Brooks, D. Buckley-Geer, E. Burke, D.L. Carretero, J. Costanzi, M. da Costa, L.N. de Vicente, J. Diehl, H.T. Dietrich, J.P. Doel, P. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gaztanaga, E. Gerdes, D.W. Giannantonio, T. Gschwend, J. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. Hoyle, B. James, D.J. Jeltema, T. Kuehn, K. Lahav, O. Lima, M. Lin, H. Maia, M.A.G. Marshall, J.L. Martini, P. Melchior, P. Menanteau, F. Miquel, R. Mohr, J.J. Morgan, R. Ogando, R.L.C. Palmese, A. Paz-Chinchón, F. Petravick, D. Pieres, A. Plazas Malagón, A.A. Rodriguez-Monroy, M. Romer, A.K. Sanchez, E. Scarpine, V. Schubnell, M. Scolnic, D. Serrano, S. Smith, M. Soares-Santos, M. Suchyta, E. Swanson, M.E.C. Tarle, G. Thomas, D. To, C. Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States McWilliams Center for Cosmology Department of Physics Carnegie Mellon University PittsburghPA15213 United States Department of Physics Northeastern University BostonMA02115 United States Department of Astronomy Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721-0065 United States Versoix1290 Switzerland Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States Department of Physics University of Michigan Ann ArborMI48109 United States Center for Cosmology and Astro-Particle Physics The Ohio State University ColumbusOH43210 United States Department of Physics The Ohio State University ColumbusOH43210 United States Department of Physics Stanford University 382 Via Pueblo Mall StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Berkeley Center for Cosmological Physics University of California BerkeleyCA94720 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Department of Physics and Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Department of Physics Duke University DurhamNC27708 United States Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom Instituto de Astrofísica e Ciências do Espaço Faculdade de Ciências Universidade de Lisboa Lisboa1769-016 Portugal Institute for Astronomy University of Edinburgh EdinburghEH9 3HJ United Kingdom Perimeter Institute for Theoretical Physics 31 Caroline St. North WaterlooONN2L 2Y5 Canada Institute for Particle Physics and Astrophysics ETH Zürich Wolfgang-Pauli-Strasse 27 ZürichCH-8093 Swit

This work and its companion paper, Amon et al. (2021), present cosmic shear measurements and cosmological constraints from over 100 million source galaxies in the Dark Energy Survey (DES) Year 3 data. We constrain the lensing amplitude parameter S8 ≡ σ8 (Formula presented) at the 3% level in ΛCDM: S8 = 0.759+0.025-0.023 (68% CL). Our constraint is at the 2% level when using angular scale cuts that are optimized for the ΛCDM analysis: S8 = 0.772+0.018-0.017 (68% CL). With cosmic shear alone, we find no statistically significant constraint on the dark energy equation-of-state parameter at our present statistical power. We carry out our analysis blind, and compare our measurement with constraints from two other contemporary weak lensing experiments: the Kilo-Degree Survey (KiDS) and Hyper-Suprime Camera Subaru Strategic program (HSC). We additionally quantify the agreement between our data and external constraints from the Cosmic Microwave Background (CMB). Our DES Y3 result under the assumption of ΛCDM is found to be in statistical agreement with Planck 2018, although favors a lower S8 than the CMB-inferred value by 2.3σ (a p-value of 0.02). This paper explores the robustness of these cosmic shear results to modeling of intrinsic alignments, the matter power spectrum and baryonic physics. We additionally explore the statistical preference of our data for intrinsic alignment models of different complexity. The fiducial cosmic shear model is tested using synthetic data, and we report no biases greater than 0.3σ in the plane of S8 × Ωm caused by uncertainties in the theoretical models. Copyright © 2021, The Authors. All rights reserved.

关键词： Cosmology

Author Correction: The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

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npj biodiversity

npj biodiversity 2024年第1期3卷 31页

作者： Ann M Mc Cartney Giulio Formenti Alice Mouton Diego De Panis Luísa S Marins Henrique G Leitão Genevieve Diedericks Joseph Kirangwa Marco Morselli Judit Salces-Ortiz Nuria Escudero Alessio Iannucci Chiara Natali Hannes Svardal Rosa Fernández Tim De Pooter Geert Joris Mojca Strazisar Jonathan M D Wood Katie E Herron Ole Seehausen Phillip C Watts Felix Shaw Robert P Davey Alice Minotto José M Fernández Astrid Böhne Carla Alegria Tyler Alioto Paulo C Alves Isabel R Amorim Jean-Marc Aury Niclas Backstrom Petr Baldrian Laima Baltrunaite Endre Barta Bertrand BedHom Caroline Belser Johannes Bergsten Laurie Bertrand Helena Bilandija Mahesh Binzer-Panchal Iliana Bista Mark Blaxter Paulo A V Borges Guilherme Borges Dias Mirte Bosse Tom Brown Rémy Bruggmann Elena Buena-Atienza Josephine Burgin Elena Buzan Alessia Cariani Nicolas Casadei Matteo Chiara Sergio Chozas Fedor Čiampor Angelica Crottini Corinne Cruaud Fernando Cruz Love Dalen Alessio De Biase Javier Del Campo Teo Delic Alice B Dennis Martijn F L Derks Maria Angela Diroma Mihajla Djan Simone Duprat Klara Eleftheriadi Philine G D Feulner Jean-François Flot Giobbe Forni Bruno Fosso Pascal Fournier Christine Fournier-Chambrillon Toni Gabaldon Shilpa Garg Carmela Gissi Luca Giupponi Jessica Gomez-Garrido Josefa González Miguel L Grilo Björn Grüning Thomas Guerin Nadege Guiglielmoni Marta Gut Marcel P Haesler Christoph Hahn Balint Halpern Peter W Harrison Julia Heintz Maris Hindrikson Jacob Höglund Kerstin Howe Graham M Hughes Benjamin Istace Mark J Cock Franc Janžekovič Zophonias O Jonsson Sagane Joye-Dind Janne J Koskimäki Boris Krystufek Justyna Kubacka Heiner Kuhl Szilvia Kusza Karine Labadie Meri Lähteenaro Henrik Lantz Anton Lavrinienko Lucas Leclère Ricardo Jorge Lopes Ole Madsen Ghislaine Magdelenat Giulia Magoga Tereza Manousaki Tapio Mappes Joao Pedro Marques Gemma I Martinez Redondo Florian Maumus Shane A McCarthy Hendrik-Jan Megens Jose Melo-Ferreira Sofia L Mendes Matteo Montagna Joao Moreno Mai-Britt Mosbech Mónica Moura Zuzana Musilova Eugene Myers Will J N Genomics Institute University of California Santa Cruz CA USA. anmmccar@ucsc.edu. The Vertebrate Genome Laboratory The Rockefeller University New York NY USA. Department of Biology University of Florence Sesto Fiorentino Italy. InBios-Conservation Genetics Laboratory University of Liege Liege Belgium. Leibniz Institut für Zoo und Wildtierforschung Berlin Germany. Berlin Center for Genomics in Biodiversity Research Berlin Germany. Department of Biology University of Antwerp Antwerp Belgium. Institute of Zoology University of Cologne Cologne Germany. Department of Chemistry Life Sciences and Environmental Sustainability University of Parma Parma Italy. Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra) Barcelona Spain. Naturalis Biodiversity Center Leiden The Netherlands. Neuromics Support Facility VIB Center for Molecular Neurology VIB Antwerp Belgium. Neuromics Support Facility Department of Biomedical Sciences University of Antwerp Antwerp Belgium. Tree of Life Wellcome Sanger Institute Hinxton Cambridge UK. School of Biology and Environmental Science University College Dublin Belfield Ireland. Aquatic Ecology & Evolution Institute of Ecology & Evolution University of Bern Bern Switzerland. Department of Fish Ecology & Evolution Eawag Kastanienbaum Switzerland. Department of Biological and Environmental Science University of Jyvaskyla Jyvaskyla Finland. The Earlham Institute Norwich Research Park Norwich UK. Digital Science London UK. Barcelona Supercomputing Center Spanish National Bioinformatics Institute ELIXIR Spain Getafe Spain. Leibniz Institute for the Analysis of Biodiversity Change Museum Koenig Bonn Bonn Germany. CE3C-Centre for Ecology Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute Faculdade de Ciências Universidade de Lisboa Campo Grande Lisboa Portugal. Centro Nacional de Análisis Genómico (CNAG) Barcelona Spain. Universitat de Barcelona (UB) Barcelona Spain. CIBIO C