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AIAA Atmospheric Flight Mechanics Conference, 2016

作者： Horiuchi, Timothy K. Paras, Marc Cervi, Tim Oursler, Brent Sanz, Santiago Gaus, Joshua Mccoll, Daniel Woller, Stephen Woodbury, Donald Faruque, Imraan Xu, Huan Department of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Department of Mechanical Engineering University of Maryland College ParkMD20742 United States Department of Aerospace Engineering University of Maryland College ParkMD20742 United States Division of Research University of Maryland College ParkMD20742 United States Institute for Systems Research University of Maryland College ParkMD20742 United States Neuroscience and Cognitive Science Program University of Maryland College ParkMD20742 United States

ISBN: (数字)9781624104305

ISBN: (纸本)9781510827431

To address the growing concern of small unmanned aircraft systems (sUAS) entering the airspace over a public event, building, or other protected spaces (whether for recreational purposes or with malicious intent), we are developing a counter-sUAS solution. This solution is based on an aerial intercept vehicle that autonomously pursues the target sUAS and launches a net to entangle the propellers and/or unbalance the sUAS to bring it to the ground. The intercept vehicle is a hexacopter that is guided by a visible-light camera and a single-pixel lidar mounted on a gimbal to track the target sUAS. A custom-built, lightweight, C02 cartridge-powered, net launcher mounted to the top of the vehicle fires when the intercept vehicle is oriented properly at the target and when it is in range. In this manuscript, we describe the problem constraints, system design, image processing chain, computational infrastructure, physical implementations, and various measurements of performance. We describe the current state of development and our experience with the challenge of designing effective countermeasures. Copyright © 2016 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Image processing

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A simplified, lossless re-analysis of PAPER-64

arXiv

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arXiv 2019年

作者： Kolopanis, Matthew Jacobs, Daniel C. Cheng, Carina Parsons, Aaron R. Kohn, Saul A. Pober, Jonathan C. Aguirre, James E. Ali, Zaki S. Bernardi, Gianni Bradley, Richard F. Carilli, Chris L. DeBoer, David R. Dexter, Matthew R. Dillon, Joshua S. Kerrigan, Joshua Klima, Pat Liu, Adrian MacMahon, David H.E. Moore, David F. Thyagarajan, Nithyanandan Nunhokee, Chuneeta D. Walbrugh, William P. Walker, Andre School of Earth and Space Exploration Arizona State U. TempeAZ United States Astronomy Dept. U. California BerkeleyCA United States Radio Astronomy Lab. U. California BerkeleyCA United States Dept. of Physics and Astronomy U. Penn. PhiladelphiaPA United States Dept. of Physics Brown University Providence RI United States INAF-Istituto di Radioastronomia via Gobetti 101 Bologna40129 Italy Department of Physics and Electronics Rhodes University PO Box 94 Grahamstown6140 South Africa South African Radio Astronomy Observatory Black River Park 2 Fir Street Observatory Cape Town7925 South Africa Dept. of Electrical and Computer Engineering U. Virginia CharlottesvilleVA United States National Radio Astronomy Obs. CharlottesvilleVA United States Dept. of Astronomy U. Virginia CharlottesvilleVA United States National Radio Astronomy Observatory SocorroNM United States Cavendish Lab. Cambridge United Kingdom Department of Physics and McGill Space Institute McGill University MontrealQC Canada CIFAR Azrieli Global Scholar Gravity & the Extreme Universe Program Canadian Institute for Advanced Research 661 University Ave. Suite 505 TorontoONM5G 1M1 Canada

We present limits on the 21cm power spectrum from the Epoch of Reionization (EoR) using data from the 64 antenna configuration of the Donald C. Backer Precision Array for Probing the Epoch of Reionization (PAPER) analyzed through a power spectrum pipeline independent from previous PAPER analyses. Previously reported results from PAPER have been found to contain significant signal loss (Cheng et al. 2018). Several lossy steps from previous PAPER pipelines have not been included in this analysis, namely: delay-based foreground filtering, optimal fringe-rate filtering, and empirical covariance-based estimators. Steps which remain in common with previous analyses include redundant calibration and local sidereal time (LST) binning. The power spectra reported here are effectively the result of applying a linear Fourier transform analysis to the calibrated, LST binned data. This analysis also uses more data than previous publications, including the complete available redshift range of z ∼ 7.5 to 11. In previous PAPER analyses, many power spectrum measurements were found to be detections of noncosmological power at levels of significance ranging from two to hundreds of times the theoretical noise. Here, excess power is examined using redundancy between baselines and power spectrum jackknives. The upper limits we find on the 21cm power spectrum from reionization are (1500 mK)2, (1900 mK)2, (280 mK)2, (200 mK)2, (380 mK)2, (300 mK)2 at redshifts z = 10.87, 9.93, 8.68, 8.37, 8.13, and 7.48, respectively. For reasons described in (Cheng et al. 2018), these limits supersede all previous PAPER results (Ali et al. 2018). Copyright © 2019, The Authors. All rights reserved.

关键词： Power spectrum

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Brain perfusion mediates the relationship between miRNA levels and postural control

arXiv

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arXiv 2019年

作者： Chen, Yufen Herrold, Amy A. Martinovich, Zoran Blood, Anne J. Vike, Nicole Walter, Alexa E. Harezlak, Jaroslaw Seidenberg, Peter H. Bhomia, Manish Knollmann-Ritschel, Barbara Reilly, James L. Nauman, Eric A. Talavage, Thomas M. Papa, Linda Slobounov, Semyon Breiter, Hans C. Center for Translational Imaging Department of Radiology Feinberg School of Medicine Northwestern University ChicagoIL60611 United States Edward Hines Jr. VA Hospital Research Service HinesIL60141 United States Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University ChicagoIL60611 United States Mental Health Services and Policy Program Department of Psychiatry and Behavioral Sciences Northwestern University Feinberg School of Medicine ChicagoIL60611 United States Mood and Motor Control Laboratory Departments of Neurology and Psychiatry Massachusetts General Hospital Harvard Medical School BostonMA02129 United States Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital Harvard Medical School BostonMA02129 United States Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Harvard Medical School BostonMA02129 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Weldon School of Biomedical Engineering Purdue University West LafayetteIN47907 United States Department of Kinesiology Pennsylvania State University University ParkPA16802 United States Department of Epidemiology and Biostatistics Indiana University BloomingtonIN47405 United States Departments of Orthopaedics & Rehabilitation and Family & Community Medicine Penn State College of Medicine HersheyPA17033 Department of Pathology Uniformed Services University of the Health Sciences BethesdaMD United States Department of Basic Medical Sciences Purdue University West LafayetteIN47907 United States Department of Emergency Medicine Orlando Regional Medical Center OrlandoFL United States

Transcriptomics, regional cerebral blood flow (rCBF), and a spatial motor virtual reality task were integrated using mediation analysis in a novel demonstration of "imaging omics". Data collected in NCAA Division I football athletes cleared for play before in-season training showed significant relationships in a) elevated levels of miR-30d and miR-92a to elevated putamen rCBF, (b) elevated putamen rCBF to compromised balance scores, and (c) compromised balance scores to elevated miRNA levels. rCBF acted as a mediator variable (minimum 70% mediation, significant Sobel's test) between abnormal miRNA levels and compromised balance scores. Given the involvement of these miRNAs in inflammation and immune function, and that vascular perfusion is a component of the inflammatory response, these findings support a chronic inflammatory model of repetitive head acceleration events (HAEs). rCBF, a systems biology measure, was necessary for miRNA to affect behavior. These results suggest miRNA as a potential diagnostic biomarker for repetitive HAEs. Copyright © 2019, The Authors. All rights reserved.

关键词： Sports

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Author Correction: Federated learning enables big data for rare cancer boundary detection

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Nature communications 2023年第1期14卷 436页

作者： Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih-Han Wang G Anthony Reina Patrick Foley Alexey Gruzdev Deepthi Karkada Christos Davatzikos Chiharu Sako Satyam Ghodasara Michel Bilello Suyash Mohan Philipp Vollmuth Gianluca Brugnara Chandrakanth J Preetha Felix Sahm Klaus Maier-Hein Maximilian Zenk Martin Bendszus Wolfgang Wick Evan Calabrese Jeffrey Rudie Javier Villanueva-Meyer Soonmee Cha Madhura Ingalhalikar Manali Jadhav Umang Pandey Jitender Saini John Garrett Matthew Larson Robert Jeraj Stuart Currie Russell Frood Kavi Fatania Raymond Y Huang Ken Chang Carmen Balaña Jaume Capellades Josep Puig Johannes Trenkler Josef Pichler Georg Necker Andreas Haunschmidt Stephan Meckel Gaurav Shukla Spencer Liem Gregory S Alexander Joseph Lombardo Joshua D Palmer Adam E Flanders Adam P Dicker Haris I Sair Craig K Jones Archana Venkataraman Meirui Jiang Tiffany Y So Cheng Chen Pheng Ann Heng Qi Dou Michal Kozubek Filip Lux Jan Michálek Petr Matula Miloš Keřkovský Tereza Kopřivová Marek Dostál Václav Vybíhal Michael A Vogelbaum J Ross Mitchell Joaquim Farinhas Joseph A Maldjian Chandan Ganesh Bangalore Yogananda Marco C Pinho Divya Reddy James Holcomb Benjamin C Wagner Benjamin M Ellingson Timothy F Cloughesy Catalina Raymond Talia Oughourlian Akifumi Hagiwara Chencai Wang Minh-Son To Sargam Bhardwaj Chee Chong Marc Agzarian Alexandre Xavier Falcão Samuel B Martins Bernardo C A Teixeira Flávia Sprenger David Menotti Diego R Lucio Pamela LaMontagne Daniel Marcus Benedikt Wiestler Florian Kofler Ivan Ezhov Marie Metz Rajan Jain Matthew Lee Yvonne W Lui Richard McKinley Johannes Slotboom Piotr Radojewski Raphael Meier Roland Wiest Derrick Murcia Eric Fu Rourke Haas John Thompson David Ryan Ormond Chaitra Badve Andrew E Sloan Vachan Vadmal Kristin Waite Rivka R Colen Linmin Pei Murat Ak Ashok Srinivasan J Rajiv Bapuraj Arvind Rao Nicholas Wang Ota Yoshiaki Toshio Moritani Sevcan Turk Joonsang Lee Snehal Prabhudesai Fanny Morón Jacob Mandel Konstantinos Kamnitsas Ben Glocker Luke V M Dixon Matthew Williams Peter Zamp Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA. Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Informatics Technical University of Munich Munich Bavaria Germany. Intel Corporation Santa Clara CA USA. Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany. Clinical Cooperation Unit Neuropathology German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Neuropathology Heidelberg University Hospital Heidelberg Germany. Division of Medical Image Computing German Cancer Research Center Heidelberg Germany. Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany. Neurology Clinic Heidelberg University Hospital Heidelberg Germany. Department of Radiology & Biomedical Imaging University of California San Francisco San Francisco CA USA. Symbiosis Center for Medical Image Analysis Symbiosis International University Pune Maharashtra India. Department of Neuroimaging and Interventional Radiology National Institute of Mental Health and Neurosciences Bangalore Karnataka India. Department of Radiology School of Medicine and Public Health University of Wisconsin Madison WI USA. Department of Medical Physics School of Medicine and Public Health University of Wisconsin Madison WI USA. Leeds Teaching Hospitals Trust Department of Radiology Leeds UK. Department of Radiology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA USA. Catalan Institute of Oncology Badalona Spain. Consorci MAR Parc de Salut de Barcelona Catalonia Spain. Department of Radiology (IDI

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Quantum computing at the frontiers of biological sciences

arXiv

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arXiv 2019年

作者： Emani, Prashant S. Warrell, Jonathan Anticevic, Alan Bekiranov, Stefan Gandal, Michael McConnell, Michael J. Sapiro, Guillermo Aspuru-Guzik, Alán Baker, Justin Bastiani, Matteo McClure, Patrick Murray, John Sotiropoulos, Stamatios N. Taylor, Jacob Senthil, Geetha Lehner, Thomas Gerstein, Mark B. Harrow, Aram W. Program in Computational Biology and Bioinformatics Yale University New HavenCT06520 United States Department of Molecular Biophysics and Biochemistry Yale University New HavenCT06520 United States Yale School of Medicine Department of Psychiatry New HavenCT06511 United States University of Virginia School of Medicine Department of Biochemistry and Molecular Genetics CharlottesvilleVA22903 United States Department of Psychiatry Semel Institute David Geffen School of Medicine University of California–Los Angeles 695 Charles E. Young Drive South Los AngelesCA90095 United States Univ. of Virginia School of Medicine Department of Neuroscience CharlottesvilleVA22903 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Department of Chemistry University of Toronto 80 St. George Street TorontoONM5S 3H6 Canada TorontoONM5S 1M1 Canada CIFAR Artificial Intelligence Research Chair Vector Institute TorontoONM5S 1M1 Canada Department of Computer Science University of Toronto 40 St. George Street TorontoONM5S 2E4 Canada Schizophrenia and Bipolar Disorder Program McLean Hospital BelmontMA02478 United States Department of Psychiatry Harvard Medical School BostonMA02114 United States Sir Peter Mansfield Imaging Centre School of Medicine University of Nottingham NottinghamNG7 2RD United Kingdom Machine Learning Team National Institute of Mental Health BethesdaMD20892 United States Section on Functional Imaging Methods National Institute of Mental Health BethesdaMD20892 United States Department of Psychiatry Yale University School of Medicine New HavenCT06511 United States Department of Physics Yale University New HavenCT06511 United States Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States National Institute of Standards and Technology GaithersburgMD20899 United States Office of Genomics Research Coordination N

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems. Innovation in massively parallel, classical computing hardware and algorithms continues to address many of these challenges, but there is a need to simultaneously consider new paradigms to circumvent current barriers to processing speed. Accordingly, we articulate a view towards quantum computation and quantum information science, where algorithms have demonstrated potential polynomial and exponential computational speedups in certain applications, such as machine learning. The maturation of the field of quantum computing, in hardware and algorithm development, also coincides with the growth of several collaborative efforts to address questions across length and time scales, and scientific disciplines. We use this coincidence to explore the potential for quantum computing to aid in one such endeavor: the merging of insights from genetics, genomics, neuroimaging and behavioral phenotyping. By examining joint opportunities for computational innovation across fields, we highlight the need for a common language between biological data analysis and quantum computing. Ultimately, we consider current and future prospects for the employment of quantum computing algorithms in the biological sciences. Copyright © 2019, The Authors. All rights reserved.

关键词： Machine learning

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CHI 2017 Stories overview

CHI 2017 Stories overview

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2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017

作者： Robertson, Scott P. Andalibi, Nazanin Diakopoulos, Nicholas Forte, Andrea Maruyama, Misa Ahmed, Nova Benko, Hrvoje Dray, Susan Fitzpatrick, Geraldine Habib, Rubaiat Hartmann, Björn Holtzblatt, Karen Rosenzweig, Elizabeth Srinivas, Preethi Zytko, Doug Information and Computer Sciences Department University of Hawaii HonoluluHI96822 United States College of Computing and Informatics Drexel University PhiladelphiaPA19104 United States College of Journalism University of Maryland College ParkMD20742 United States Communication and Information Sciences Program University of Hawaii HonoluluHI96822 United States Department of Electrical and Computer Engineering North South University Dhaka Bangladesh Microsoft Research RedmondWA98052 United States Dray and Assoct. MinneapolisMN55408 United States Institute of Design and Assessment of Technology Technische Universität Wien Vienna Austria Autodesk Research TorontoON Canada Jacobs Institute for Design Innovation University of California BerkeleyCA94720 United States CEO InContext Enterprises Silver SpringMD20901 United States Bentley University WalthamMA02452 United States Regenstrief Institute IndianapolisIN46202 United States New Jersey Institute of Technology NewarkNJ07102 United States

CHI Stories is a new venue introduced at CHI 2017. A diverse set of storytellers describe personal experiences that shaped who they are and how they came to the field of Human-computer Interaction. Copyright © 20... 详细信息

ISBN: (纸本)9781450346566

关键词： Human computer interaction

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Fano Resonances: Tunable Fano Resonance and Plasmon–Exciton Coupling in Single Au Nanotriangles on Monolayer WS2at Room Temperature (Adv. Mater. 22/2018)

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Advanced Materials 2018年第22期30卷 1870155-1870155页

作者： Mingsong Wang Alex Krasnok Tianyi Zhang Leonardo Scarabelli He Liu Zilong Wu Luis M. Liz‐Marzán Mauricio Terrones Andrea Alù Yuebing Zheng Department of Mechanical Engineering Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 USA Department of Materials Science and Engineering The Pennsylvania State University University Park PA 16802 USA Bionanoplasmonics Laboratory CIC biomaGUNE Paseo de Miramón 182 20014 Donostia‐San Sebastián Spain Department of Chemistry and Biochemistry California NanoSystems Institute University of California Los Angeles Los Angeles CA 90095 USA Department of Chemistry The Pennsylvania State University University Park PA 16802 USA Ikerbasque Basque Foundation for Science 48013 Bilbao Spain Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine CIBER‐BBN 20014 Donostia‐San Sebastián Spain Department of Physics and Center for 2‐Dimensional and Layered Materials The Pennsylvania State University University Park PA 16802 USA Department of Materials Science and Engineering & Chemical Engineering Carlos III University of Madrid Avenida Universidad 30 28911 Leganés Madrid Spain IMDEA Materials Institute Eric Kandel 2 Getafe Madrid 28005 Spain

In article number 1705779, Alex Krasnok, Andrea Alú, Yuebing Zheng, and co‐workers demonstrate tunable Fano resonances that arise from the interactions between the excitons of monolayer WS₂ and the localized surface plasmon resonances of single Au nanotriangles (AuNTs) at room temperature. The resonance tuning is realized by varying the dielectric constants of the surrounding solvents or the dimensions of the AuNTs. A transition from weak to strong plasmon-exciton coupling is also observed by changing the dielectric constants of the surrounding solvents of the AuNTs.

关键词： Fano resonance monolayer WS2 plasmon–exciton coupling plasmonics Rabi splitting

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Correction to: Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

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Genome biology 2019年第1期20卷 72页

作者： Alexa B R McIntyre Rachid Ounit Ebrahim Afshinnekoo Robert J Prill Elizabeth Hénaff Noah Alexander Samuel S Minot David Danko Jonathan Foox Sofia Ahsanuddin Scott Tighe Nur A Hasan Poorani Subramanian Kelly Moffat Shawn Levy Stefano Lonardi Nick Greenfield Rita R Colwell Gail L Rosen Christopher E Mason Tri-Institutional Program in Computational Biology and Medicine New York NY USA. Department of Physiology and Biophysics Weill Cornell Medicine New York NY 10021 USA. The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York NY 10021 USA. Department of Computer Science and Engineering University of California Riverside CA 92521 USA. School of Medicine New York Medical College Valhalla NY 10595 USA. Accelerated Discovery Lab IBM Almaden Research Center San Jose CA 95120 USA. One Codex Reference Genomics San Francisco CA 94103 USA. University of Vermont Burlington VT 05405 USA. CosmosID Inc Rockville MD 20850 USA. Center for Bioinformatics and Computational Biology University of Maryland Institute for Advanced Computer Studies (UMIACS) College Park MD 20742 USA. HudsonAlpha Institute for Biotechnology Huntsville AL 35806 USA. Johns Hopkins University Bloomberg School of Public Health Baltimore MD USA. Department of Electrical and Computer Engineering Drexel University Philadelphia PA 19104 USA. gail.l.rosen@***. Department of Physiology and Biophysics Weill Cornell Medicine New York NY 10021 USA. chm2042@med.cornell.edu. The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York NY 10021 USA. chm2042@med.cornell.edu. The Feil Family Brain and Mind Research Institute New York NY 10065 USA. chm2042@med.cornell.edu.

Following publication of the original article [1], the authors would like to highlight the following two corrections.

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Dense sampling of bird diversity increases power of comparative genomics (vol 587, pg 252, 2020)

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NATURE 2021年第7856期592卷 E24-E24页

作者： Feng, Shaohong Stiller, Josefin Deng, Yuan Armstrong, Joel Fang, Qi Reeve, Andrew Hart Xie, Duo Chen, Guangji Guo, Chunxue Faircloth, Brant C. Petersen, Bent Wang, Zongji Zhou, Qi Diekhans, Mark Chen, Wanjun Andreu-Sanchez, Sergio Margaryan, Ashot Howard, Jason Travis Parent, Carole Pacheco, George Sinding, Mikkel-Holger S. Puetz, Lara Cavill, Emily Ribeiro, Angela M. Eckhart, Leopold Fjeldsa, Jon Hosner, Peter A. Brumfield, Robb T. Christidis, Les Bertelsen, Mads F. Sicheritz-Ponten, Thomas Tietze, Dieter Thomas Robertson, Bruce C. Song, Gang Borgia, Gerald Claramunt, Santiago Lovette, Irby J. Cowen, Saul J. Njoroge, Peter Dumbacher, John Philip Ryder, Oliver A. Fuchs, Jerome Bunce, Michael Burt, David W. Cracraft, Joel Meng, Guanliang Hackett, Shannon J. Ryan, Peter G. Jonsson, Knud Andreas Jamieson, Ian G. da Fonseca, Rute R. Braun, Edward L. Houde, Peter Mirarab, Siavash Suh, Alexander Hansson, Bengt Ponnikas, Suvi Sigeman, Hanna Stervander, Martin Frandsen, Paul B. van der Zwan, Henriette van der Sluis, Rencia Visser, Carina Balakrishnan, Christopher N. Clark, Andrew G. Fitzpatrick, John W. Bowman, Reed Chen, Nancy Cloutier, Alison Sackton, Timothy B. Edwards, Scott V. Foote, Dustin J. Shakya, Subir B. Sheldon, Frederick H. Vignal, Alain Soares, Andre E. R. Shapiro, Beth Gonzalez-Solis, Jacob Ferrer-Obiol, Joan Rozas, Julio Riutort, Marta Tigano, Anna Friesen, Vicki Dalen, Love Urrutia, Araxi O. Szekely, Tamas Liu, Yang Campana, Michael G. Corvelo, Andre Fleischer, Robert C. Rutherford, Kim M. Gemmell, Neil J. Dussex, Nicolas Mouritsen, Henrik Thiele, Nadine Delmore, Kira Liedvogel, Miriam Franke, Andre Hoeppner, Marc P. Krone, Oliver Fudickar, Adam M. Mila, Borja Ketterson, Ellen D. Fidler, Andrew Eric Friis, Guillermo Parody-Merino, Angela M. Battley, Phil F. Cox, Murray P. Lima, Nicholas Costa Barroso Prosdocimi, Francisco Parchman, Thomas Lee Schlinger, Barney A. Loiselle, Bette A. Blake, John G. Lim, Haw Chuan Day, Lainy B. Fuxjager, Matthew J. Baldwin, Maude W. Braun, Michael J. Wirthlin, Morgan Dikow, China National GeneBank BGI-Shenzhen Shenzhen China State Key Laboratory of Genetic Resources and Evolution Kunming Institute of Zoology Chinese Academy of Sciences Kunming China BGI-Shenzhen Shenzhen China Villum Centre for Biodiversity Genomics Section for Ecology and Evolution Department of Biology University of Copenhagen Copenhagen Denmark BGI Education Center University of Chinese Academy of Sciences Shenzhen China MOE Laboratory of Biosystems Homeostasis and Protection Life Sciences Institute Zhejiang University Hangzhou China Department of Neuroscience and Developmental Biology University of Vienna Vienna Austria Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China James D. Watson Institute of Genome Sciences Hangzhou China UC Santa Cruz Genomics Institute UC Santa Cruz Santa Cruz CA USA Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark Center for Macroecology Evolution and Climate GLOBE Institute University of Copenhagen Copenhagen Denmark Department of Biological Sciences Louisiana State University Baton Rouge LA USA Museum of Natural Science Louisiana State University Baton Rouge LA USA Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio) Faculty of Applied Sciences AIMST University Kedah Malaysia Section for Evolutionary Genomics The GLOBE Institute Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark Institute of Molecular Biology National Academy of Sciences Yerevan Armenia University Museum Norwegian University of Science and Technology Trondheim Norway Center for Reproductive Medicine The 2nd Affiliated Hospital School of Medicine Zhejiang University Hangzhou China Novogene Durham NC USA Duke University Medical Center Durham NC USA The Rockefeller University New York NY USA Howard Hughes Medical Institute Chevy Chase MD USA Department of Dermatology Medical University of Vienna Vienna Austria

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A repeating fast radio burst source localised to a nearby spiral galaxy

arXiv

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arXiv 2020年

作者： Marcote, B. Nimmo, K. Hessels, J.W.T. Tendulkar, S.P. Bassa, C.G. Paragi, Z. Keimpema, A. Bhardwaj, M. Karuppusamy, R. Kaspi, V.M. Law, C.J. Michilli, D. Aggarwal, K. Andersen, B. Archibald, A.M. Bandura, K. Bower, G.C. Boyle, P.J. Brar, C. Burke-Spolaor, S. Butler, B.J. Cassanelli, T. Chawla, P. Demorest, P. Dobbs, M. Fonseca, E. Giri, U. Good, D.C. Gourdji, K. Josephy, A. Kirichenko, A.Yu. Kirsten, F. Landecker, T.L. Lang, D. Lazio, T.J.W. Li, D.Z. Lin, H.-H. Linford, J.D. Masui, K. Mena-Parra, J. Naidu, A. Ng, C. Patel, C. Pen, U.-L. Pleunis, Z. Rafiei-Ravandi, M. Rahman, M. Renard, A. Scholz, P. Siegel, S.R. Smith, K.M. Stairs, I.H. Vanderlinde, K. Zwaniga, A.V. Oude Hoogeveensedijk 4 PD Dwingeloo7991 Netherlands ASTRON Netherlands Institute for Radio Astronomy Oude Hoogeveensedijk 4 PD Dwingeloo7991 Netherlands Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Department of Physics McGill University 3600 University Street MontréalQCH3A 2T8 Canada McGill Space Institute McGill University 3550 University Street MontréalQCH3A 2A7 Canada Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Department of Astronomy and Owens Valley Radio Observatory California Institute of Technology PasadenaCA91125 United States Department of Physics and Astronomy West Virginia University P.O. Box 6315 MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States School of Mathematics Physics and Statistics University of Newcastle Newcatle upon TyneNE1 7RU United Kingdom Lane Department of Computer Science and Electrical Engineering MorgantownWV26506 United States Academia Sinica Institute of Astronomy and Astrophysics 645 N. A’ohoku Place HiloHI96720 United States National Radio Astronomy Observatory SocorroNM87801 United States Dunlap Institute for Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada Department of Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada Perimeter Institute for Theoretical Physics WaterlooONN2L 2Y5 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of British Columbia 6224 Agricultural Road VancouverBCV6T 1Z1 Canada Instituto de Astronomía Universidad Nacional Autónoma de México Apdo. Postal 877 EnsenadaBaja California22800 Mexico Ioffe Institute 26 Politekhnicheskaya st. St. Petersburg194021 Russia Department o

Fast radio bursts (FRBs) are brief, bright, extragalactic radio flashes1, 2. Their physical origin remains unknown, but dozens of possible models have been postulated3. Some FRB sources exhibit repeat bursts4–7. Though over a hundred FRB sources have been discovered to date8, only four have been localised and associated with a host galaxy9–12, with just one of the four known to repeat9. The properties of the host galaxies, and the local environments of FRBs, provide important clues about their physical origins. However, the first known repeating FRB has been localised to a low-metallicity, irregular dwarf galaxy, and the apparently non-repeating sources to higher-metallicity, massive elliptical or star-forming galaxies, suggesting that perhaps the repeating and apparently non-repeating sources could have distinct physical origins. Here we report the precise localisation of a second repeating FRB source6, FRB 180916.J0158+65, to a star-forming region in a nearby (redshift z = 0.0337 ±0.0002) massive spiral galaxy, whose properties and proximity distinguish it from all known hosts. The lack of both a comparably luminous persistent radio counterpart and a high Faraday rotation measure6 further distinguish the local environment of FRB 180916.J0158+65 from that of the one previously localised repeating FRB source, FRB 121102. This demonstrates that repeating FRBs have a wide range of luminosities, and originate from diverse host galaxies and local environments. Copyright © 2020, The Authors. All rights reserved.

关键词： Galaxies

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