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Physics performance of the large-sized telescope prototype of the cherenkov telescope array

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arXiv 2021年

作者： López-Coto, R. Moralejo, A. Artero, M. Baquero, A. Bernardos, M. Contreras, J.L. Di Pierro, F. García, E. Kerszberg, D. López-Moya, M. MasAguilar, A. Morcuende, D. Noethe, M. Nozaki, S. Ohtani, Y. Priyadarshi, C. Suda, Y. Vuillaume, T. Abe, H. Aguasca, A. Agudo, I. Antonelli, L.A. Aramo, C. Armstrong, T. Artero, M. Asano, K. Ashkar, H. Aubert, P. Baktash, A. Bamba, A. Larriva, A. Baquero Baroncelli, L. de Almeida, U. Barres Barrio, J.A. Batkovic, I. González, J. Becerra Bernardos, M.I. Berti, A. Biederbeck, N. Bigongiari, C. Blanch, O. Bonnoli, G. Bordas, P. Bose, D. Bulgarelli, A. Burelli, I. Buscemi, M. Cardillo, M. Caroff, S. Carosi, A. Cassol, F. Cerruti, M. Chai, Y. Cheng, K. Chikawa, M. Chytka, L. Contreras, J.L. Cortina, J. Costantini, H. Dalchenko, M. de Angelis, A. de Bony de Lavergne, M. Deleglise, G. Delgado, C. Delgado Mengual, J. della Volpe, D. Depaoli, D. Di Venere, L. Díaz, C. Dominik, R.M. Dominis Prester, D. Donini, A. Dorner, D. Doro, M. Elsässer, D. Emery, G. Escudero, J. Fiasson, A. Foffano, L. Fonseca, M.V. Coromina, L. Freixas Fukami, S. Fukazawa, Y. Garcia, E. Garcia López, R. Giglietto, N. Giordano, F. Gliwny, P. Godinovic, N. Green, D. Grespan, P. Gunji, S. Hackfeld, J. Hadasch, D. Hahn, A. Hassan, T. Hayashi, lo K. Heckmann, L. Heller, M. Llorente, J. Herrera Hirotani, K. Hoffmann, D. Horns, D. Houles, J. Hrabovsky, M. Hrupec, D. Hui, D. Hütten, M. Inada, T. Inome, Y. Iori, M. Ishio, K. Iwamura, Y. Jacquemont, M. Martinez, I. Jimenez Jouvin, L. Jurysek, J. Kagaya, M. Karas, V. Katagiri, H. Kataoka, J. Kerszberg, D. Kobayashi, Y. Kong, A. Kubo, H. Kushida, J. Lamanna, G. Lamastra, A. Le Flour, T. Longo, F. López-Coto, R. López-Moya, M. López-Oramas, A. Luque-Escamilla, P.L. Majumdar, P. Makariev, M. Mandat, D. Manganaro, M. Mannheim, K. Mariotti, M. Marquez, P. Marsella, G. Martí, J. Martinez, O. Martínez, G. Martínez, M. Marusevec, P. Mas, A. Maurin, G. Mazin, D. Guillen, E. Mestre Micanovic, S. Istituto Nazionale di Fisica Nucleare Sezione di Padova PadovaI-35131 Italy Instituto de Astrofísica de Andalucía CSIC Granada18080 Spain 08193 Spain IPARCOS Department of EMFTEL Universidad Complutense de Madrid MadridE-28040 Spain Università degli Studi di Padova Via Marzolo 8 Padova35131 Italy INFN Sezione di Torino via P. Giuria 1 Torino10125 Italy LAPP Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS-IN2P3 Annecy74000 France 9 Chemin de Bellevue - BP 110 Annecy Cedex74941 France Department of Physics TU Dortmund University Otto-Hahn-Str. 4 Dortmund44221 Germany Division of Physics and Astronomy Graduate School of Science Kyoto University Sakyoku Kyoto606-8502 Japan Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-ha Chiba Kashiwa277-8582 Japan Max-Planck-Institut für Physik München80805 Germany Institute for Cosmic Ray Research University of Tokyo Departament de Física Quàntica i Astrofísica Institut de Ciències del Cosmos Universitat de Barcelona IEEC-UB Instituto de Astrofísica de Andalucía-CSIC INAF - Osservatorio Astronomico di Roma INFN Sezione di Napoli Aix Marseille Univ CNRS/IN2P3 CPPM Barcelona Institute of Science and Technology IRFU CEA Université Paris-Saclay LAPP Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS-IN2P3 Annecy France Universität Hamburg Institut für Experimentalphysik Graduate School of Science University of Tokyo EMFTEL department IPARCOS Universidad Complutense de Madrid INAF - Osservatorio di Astrofisica e Scienza dello spazio di Bologna Centro Brasileiro de Pesquisas Físicas INFN Sezione di Padova Università degli Studi di Padova Instituto de Astrofísica de Canarias Departamento de Astrofísica Universidad de La Laguna Max-Planck-Institut für Physik Department of Physics TU Dortmund University Saha Institute of Nuclear Physics INFN Sezione di Trieste Università degli Studi di Udine INFN Sezione di Catania University of Geneva Département de physique nucléaire et corpusculaire P

The Large-Sized Telescope (LST) prototype of the future Cherenkov Telescope Array (CTA) is located at the Northern site of CTA, on the Canary Island of La Palma. It is designed to provide optimal performance in the lowest part of the energy range covered by CTA, observing gamma rays down to energies of tens of GeV. The LST prototype started performing astronomical observations in November 2019 during the commissioning of the telescope and it has been taking data since then. In this contribution, we will present the tuning of the characteristics of the telescope in the Monte Carlo (MC) simulations to describe the data obtained, the estimation of its angular and energy resolution, and an evaluation of its sensitivity, both with simulations and with observations of the Crab Nebula. © 2021, CC BY.

关键词： Telescopes

The magnetoelastic distortion of multiferroic BiFeO3 in the canted antiferromagnetic state

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arXiv 2020年

作者： Rõõm, Toomas Viirok, John Peedu, Laur Nagel, Urmas Farkas, Daniel G. Szaller, David Kocsis, Vilmos Bordács, Sandor Kézsmárki, Istvan Kamenskyi, Dymtro L. Engelkamp, Hans Ozerov, Mike Smirnov, Dmitry Krzystek, Jurek Thirunavukkuarasu, Komalavalli Ozaki, Yasuko Tomioka, Yasuhide Ito, Toshimitsu Datta, Trinanjan Fishman, Randy S. National Institute of Chemical Physics and Biophysics Akadeemia tee 23 Tallinn12618 Estonia Department of Physics Budapest University of Technology and Economics and MTA-BME Lendület Magneto-optical Spectroscopy Research Group Budapest1111 Hungary Condensed Matter Research Group of the Hungarian Academy of Sciences Budapest1111 Hungary Institute of Solid State Physics Vienna University of Technology Vienna1040 Austria Wako351-0198 Japan Hungarian Academy of Sciences Premium Postdoctor Program Budapest1051 Hungary Experimental Physics V Center for Electronic Correlations and Magnetism Institute of Physics University of Augsburg Augsburg86159 Germany Radboud University Toernooiveld 7 Nijmegen6525 ED Netherlands National High Magnetic Field Laboratory TallahasseeFL32310 United States Department of Physics Florida A&M University FL32307 United States TsukubaIbaraki305-8565 Japan Department of Chemistry and Physics Augusta University 1120 15th Street AugustaGA30912 United States Materials Science and Technology Division Oak Ridge National Laboratory Oak RidgeTN37830 United States

Using THz spectroscopy, we show that the spin-wave spectrum of multiferroic BiFeO3 in its high-field canted antiferromagnetic state is well described by a spin model that violates rhombohedral symmetry. We demonstrate that the monoclinic distortion of the canted antiferromagnetic state is induced by the single-ion magnetoelastic coupling between the lattice and the two nearly anti-parallel spins. The revised spin model for BiFeO3 contains two new single-ion anisotropy terms that violate rhombohedral symmetry and depend on the direction of the magnetic field. © 2020, CC BY.

关键词： Iron compounds

Overview of KAGRA : Data transfer and management

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Progress of Theoretical and Experimental Physics 2023年第10期2023卷

作者： Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation

KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.

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African leadership in brain diplomacy: The Yaoundé declaration advances the global brain economy playbook for better brain health

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Neuroscience 2025年 577卷 161-174页

作者： Njamnshi, Alfred Kongnyu Fame Ndongo, Jacques Ngoh Ngoh, Ferdinand Mbella Mbella, Lejeune Ghogomu, Paul M. Fouda, Séraphin M. Ondoa Obama, Marie-Thérèse A. Tchuinte, Madeleine Ousmane Mey, Alamine Manaouda, Malachie Beti Assomo, Joseph Sadi, René E. Motaze, Louis-Paul Nganou Djoumessi, Emmanuel Li Likeng, Minette Libom Nalova Lyonga, Pauline E. Etoundi Ngoa, Laurent S. Foutsou, Mounouna Mouelle Kombi, Narcisse Tchiroma, Bakary Issa Owona, Grégoire Ayissi, Henri Eyebe Balungeli, Confiance Ebune Hele, Pierre Fuh, Calistus G. Fomundam Mbah Acha, Rose N. Bidoung Kpwatt, Pierre I. Mbayu, Felix Tasong, Paul N. Momo, Jean de Dieu Doh, Jérôme P. Bayaola, Boniface Kilo, Vivian A. Abouem à Tchoyi, David Njeuma, Dorothy L. Tamfu, Simon F. Angwafo III, Fru F. Chumbow, Sammy B. Etoua, Remy M. Omgba, Richard L. Ngomo Manga, Horace Tsafack Nanfosso, Roger Chan, Andrew Etoa, François-Xavier Zambo, Joseph Marie B. Mah, Evelyn M. Tommo Monthe, Michel Eheth, Salomon Monono, Churchill Biffot, Paul P. Gabsa, Wilfred Cheka, Cosmas Echu, George Bella, Achille E. Njock, Louis Richard Fongod, Augustina G.N. Ndongo, Daniel U. Leke, Rose F.G. Pondi, Jean E. Fieggen, Graham Shehu, Bello B. Ayadi, Rym Merali, Zul Yusuf, Sadiq Apeagyei, Angela Esi Ranchod, Kirti Salama, Mohamed Atangana, Abdon Ngokeu, Eddy Ndifon, Wilfred Tiahou, Georges Tchoua, Romain Korsten, Lise Ibanez, Agustin Singh, Gagandeep Abdullah, Jafri M. Dhamija, Rajinder K. Ihunwo, Amadi O. Mbarika, Victor W.A. Mbah, David Njamnshi, Wepnyu Y. Ngarka, Leonard Ahidjo, Nene Njitung, Caleb Siewe Fodjo, Joseph N. Seke Etet, Paul F. Tsiagadigui, Jean Gustave Bissek, Anne-Cécile Z.K. Bella, Assumpta L. Mbanya, Jean Claude Ndjolo, Alexis Djientcheu, Vincent de Paul Ntone, Felicien E. Luma, Henry N. Mboudou, Emile Kasia, Jean Marie Leke, Robert J.I. Um Meka, Esther Ngo Ashuntantang, Gloria Ngaroua Bum, Elizabeth Ngo Njoya, Oudou Mbacham, Wilfred F. Ongolo-Zogo, Pierre Chabwine, Joelle N. Fongang, Bernard Vulliemoz, Serge Perrig, Stephen Sztajzel, Roman Annoni, Jean Marie Chakraborty, Sar Brain Research Africa Initiative (BRAIN) Cameroon & Geneva Switzerland Society of Cameroonian Neurologists (SCAN) The University of Yaoundé I Yaoundé Cameroon World Federation of Neurology Delegate for Cameroon Cameroon Office of the Minister of State Minister of Higher Education Yaoundé Cameroon Office of the Minister of State Secretary General Presidency of The Republic of Cameroon Yaoundé Cameroon Office of the Minister of External Relations Yaoundé Cameroon Office of the Minister i/c of Special Duties Presidency of The Republic of Cameroon Yaoundé Cameroon Office of the Minister Secretary General Prime Minister's Office Yaoundé Cameroon Office of the Minister of Women's Empowerment and the Family Yaoundé Cameroon Office of the Minister of Scientific Research and Innovation Yaoundé Cameroon Office of the Minister of the Economy Planning and Regional Development Yaoundé Cameroon Office of the Minister of Public Health Yaoundé Cameroon Office of the Minister Delegate i/c of Defense Presidency of The Republic of Cameroon Yaoundé Cameroon Office the Minister of Communication Yaoundé Cameroon Office the Minister of Finance Yaoundé Cameroon Office the Minister of Public Works Yaoundé Cameroon Office the Minister of Post and Telecommunication Yaoundé Cameroon Office the Minister of Secondary Education Yaoundé Cameroon Office the Minister of Basic Education Yaoundé Cameroon Office the Minister of Youth and Civic Education Yaoundé Cameroon Office the Minister of Sports and Physical Education Yaoundé Cameroon Office the Minister of Professional Training Yaoundé Cameroon Office the Minister of Employment and Social Security Yaoundé Cameroon Office the Minister of State Property and Land Tenure Yaoundé Cameroon Office of the Minister Director of Cabinet Prime Minister's Office Yaoundé Cameroon Office the Minister of Environment Nature Protection and Sustainable Development Yaoundé Cameroon Office the Minister of Mines Energy and Technological Development

Africa, the world's second-largest continent is home to 1.5 billion people, accounting for nearly 20% of the global population, (60% under age 25). By 2050, Africa's population will be 2.5 billion, and by 2035, more young Africans will be entering the workforce each year than in the rest of the world combined. Africa also hosts a rich social, cultural, and geopolitical diversity across its 5 geopolitical zones covering 54 countries. It is the most genetically, culturally, and linguistically diverse region on the planet. However, Africa's contribution to the global economy could be more significant if it urgently embraces the brain economy and leads in the development of new methodologies and approaches which can be exported around the world. In this paper, we explain our strategy to advance the Yaoundé Declaration for the Brain Economy, Brain Health, and Brain Capital. The Declaration has been endorsed by Cameroon's President, His Excellency Paul Biya, and demonstrates African leadership in global brain and society innovations, laying out a roadmap for how Africa can outcompete other economies by deftly deploying brain science-inspired policies and investments. We outline a new economic approach for African jobs, economic growth, sustainability, resilience, health, and well-being. The brain economy offers a broader framework than the current sustainable development goals (SDG) agenda. The Yaoundé Declaration is trans-disciplinary and cross-cutting across sectors: 32 sitting members of government from different sectors having co-authored this paper. It aligns with many aspects of the United Nations Pact for the Future and can accelerate the SDG. © 2025

关键词： Brain capital Brain economy Brain Health Green, digital care and bioeconomy transitions Neurodiplomacy Policy

First observation of isomeric states in Zr111, Nb113, and Mo115

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physical Review C 2022年第6期106卷 064328-064328页

作者： J. Wu S. Nishimura P.-A. Söderström A. Algora J. J. Liu V. H. Phong Y. Q. Wu F. R. Xu J. Agramunt D. S. Ahn T. A. Berry C. G. Bruno J. J. Bundgaard R. Caballero-Folch A. C. Dai T. Davinson I. Dillmann A. Estrade A. Fijałkowska N. Fukuda S. Go R. K. Grzywacz T. Isobe S. Kubono G. Lorusso K. Matsui A. I. Morales N. Nepal S. E. A. Orrigo B. C. Rasco K. P. Rykaczewski H. Sakurai Y. Shimizu D. W. Stracener T. Sumikama H. Suzuki J. L. Tain H. Takeda A. Tarifeño-Saldivia A. Tolosa-Delgado M. Wolińska-Cichocka R. Yokoyama National Nuclear Data Center Brookhaven National Laboratory Upton New York 11973 USA RIKEN Nishina Center 2-1 Hirosawa Wako-shi 351-0198 Saitama Japan Extreme Light Infrastructure – Nuclear Physics (ELI-NP) Bucharest-Magurele 077125 Romania Instituto de Física Corpuscular (CSIC-Universitat de Valencia) Apartado Correos 22085 E-46071 Valencia Spain Institute of Nuclear Research ATOMKI 4026 Debrecen Hungary Department of Physics University of Hong Kong Pokfulam Road Hong Kong School of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 China Department of Physics University of Surrey Guildford GU2 7XH United Kingdom School of Physics and Astronomy University of Edinburgh Edinburgh EH9 3FD United Kingdom Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996 USA TRIUMF Vancouver British Columbia Canada V6T 2A3 Department of Physics and Science of Advanced Materials Program Central Michigan University Mount Pleasant Michigan 48859 USA Department of Physics and Astronomy Rutgers University New Brunswick New Jersey 08854 USA Faculty of Physics University of Warsaw Warsaw PL-02-093 Poland Physics Division Oak Ridge National Laboratory Oak Ridge Tennessee 37830 USA Chemical Medical and Environmental Science Division National Physical Laboratory Teddington TW110LW United Kingdom Department of Physics University of Tokyo Hongo 7-3-1 Bunkyo-ku 113-0033 Tokyo Japan INTE-ETSEIB Universitat Politecnica de Catalunya (UPC) E-08028 Barcelona Spain Heavy Ion Laboratory University of Warsaw Ludwika Pasteura 5A 02-093 Warszawa Poland

Isomeric states in the neutron-rich nuclei Zr111 [T1/2=0.10(7)μs], Nb113 [T1/2=0.7(4)μs], Mo115 [T1/2=46(3)μs] were first identified at the Radioactive Ion Beam Factory (RIBF) of RIKEN by using in-flight fission and fragmentation of a U238 beam at an energy of 345 MeV/u. This is a brief report of the γ transitions de-exciting from isomeric states and half-lives measurements, which provides the first spectroscopy in the nuclear region of prolate-to-oblate shape-phase transition around mass A ≈110.

关键词： Isomer decays Nuclear structure & decays 90 ≤ A ≤ 149 Radioactive beams

Whole genome sequence data of Lactobacillus fermentum AG8, the producer of antibacterial peptides

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IOP Conference Series: Earth and Environmental science 2021年第1期715卷

作者： A Pavlova G Ozhegov M N Yahia N Gogoleva E Shagimardanova E Nikitina A Kayumov Friedrich-Alexander University Erlangen Nürnberg Germany Institute of Fundamental Medicine and Biology Kazan Federal University Kremlevskaya str. 18 Kazan 420008 Russian Federation A.E. Arbuzov Institute of Organic and Physical Chemistry Kazan Science Centre Russian Academy of Sciences Arbuzov str. 8 Kazan 420088 Russian Federation Kazan Institute of Biochemistry and Biophysics Kazan Science Centre Russian Academy of Sciences Lobachevskogo str. 2 Kazan 420111 Russian Federation Institute of Food Technology and Biotechnology Department of Meat and Milk Technologies Kazan National Research Technological University K. Marks Str. 68 Kazan 420015 Russian Federation Kazan State Academy of Veterinary Medicine named after N.E. Bauman Sibirskiy tract st. 35 Kazan 420029 Russian Federation

Lactic acid bacteria are widespread in various ecological niches and are widely used in various biotechnological processes like dairy food and silage production. While a number industrial strains of Lactobacillus are available to the date, a screening of new ones is still challenging. The Lactobacillus fermentum AG8 strain was isolated from the 4-months old fermented silage and characterized as producer of antimicrobial peptides. The genome has been sequenced by using Illumina MySeq platform with the coverage of 65x. Finally 277 contigs with total length 2.28 Mb have been obtained and 219 of them were linked in 1 segment with 1.96 Mb length. The analysis of the genome by RAST web-service has revealed 4273 coding sequences encoding for proteins including 2337 proteins without known function and 64 genes encoding for RNAs and 706 from genes were divided in 22 subsystems groups, while 1631 of them were not in any subsystem. The NCBI Bioproject has been deposited at NCBI under the accession number SUB8124387 and consists of full annotated genome and raw sequence data.

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Biomedical image analysis competitions: The state of current participation practice

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arXiv 2022年

作者： Eisenmann, Matthias Reinke, Annika Weru, Vivienn Tizabi, Minu Dietlinde Isensee, Fabian Adler, Tim J. Godau, Patrick Cheplygina, Veronika Kozubek, Michal Maier-Hein, Klaus Jäger, Paul F. Kopp-Schneider, Annette Maier-Hein, Lena Ali, Sharib Gupta, Anubha Kybic, Jan Noble, Alison de Solórzano, Carlos Ortiz Pachade, Samiksha Petitjean, Caroline Sage, Daniel Wei, Donglai Wilden, Elizabeth Alapatt, Deepak Andrearczyk, Vincent Baid, Ujjwal Bakas, Spyridon Balu, Niranjan Bano, Sophia Bawa, Vivek Singh Bernal, Jorge Bodenstedt, Sebastian Casella, Alessandro Choi, Jinwook Commowick, Olivier Daum, Marie Depeursinge, Adrien Dorent, Reuben Egger, Jan Eichhorn, Hannah Engelhardt, Sandy Ganz, Melanie Girard, Gabriel Hansen, Lasse Heinrich, Mattias Heller, Nicholas Hering, Alessa Huaulmé, Arnaud Kim, Hyunjeong Li, Hongwei Bran Landman, Bennett Li, Jianning Ma, Jun Martel, Anne Martín-Isla, Carlos Menze, Bjoern Nwoye, Chinedu Innocent Oreiller, Valentin Padoy, Nicolas Pati, Sarthak Payette, Kelly Sudre, Carole van Wijnen, Kimberlin Vardazaryan, Armine Vercauteren, Tom Wagner, Martin Wang, Chuanbo Yap, Moi Hoon Yu, Zeyun Yuan, Chun Zenk, Maximilian Zia, Aneeq Zimmerer, David Bao, Rina Choi, Chanyeol Cohen, Andrew Dzyubachyk, Oleh Galdran, Adrian Gan, Tianyuan Guo, Tianqi Gupta, Pradyumna Haithami, Mahmood Ho, Edward Jang, Ikbeom Li, Zhili Luo, Zhengbo Lux, Filip Makrogiannis, Sokratis Müller, Dominik Oh, Young-Tack Pang, Subeen Pape, Constantin Polat, Gorkem Reed, Charlotte Rosalie Ryu, Kanghyun Scherr, Tim Thambawita, Vajira Wang, Haoyu Wang, Xinliang Xu, Kele Yeh, Hung Yeo, Doyeob Yuan, Yixuan Zeng, Yan Zhao, Xin Abbing, Julian Adam, Jannes Adluru, Nagesh Agethen, Niklas Ahmed, Salman Al Khalil, Yasmina Alenyà, Mireia Alhoniemi, Esa An, Chengyang Arega, Tewodros Weldebirhan Avisdris, Netanell Aydogan, Dogu Baran Bai, Yingbin Calisto, Maria Baldeon Basaran, Berke Doga Beetz, Marcel Bian, Hao Blansit, Kevin Bloch, Louise Bohnsack, Robert Bosticardo, Sara Breen, Jack Brudfors, Mikael Brüngel, Raphael Cabezas, Mariano Cacciola, Alb Heidelberg Division of Intelligent Medical Systems Germany Heidelberg HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Biostatistics Germany Heidelberg Division of Medical Image Computing Germany Heidelberg HI Applied Vision Lab Germany IT University of Copenhagen Copenhagen Denmark Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Heidelberg Interactive Machine Learning Group Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg DKFZ University Hospital Heidelberg Germany School of Computing University of Leeds Leeds United Kingdom SBILab Department of ECE IIIT-Delhi India Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Institute of Biomedical Engineering University of Oxford United Kingdom Center for Applied Medical Research Pamplona Spain Shri Guru Gobind Singhji Institute of Engineering and Technology Maharashtra Nanded India Université de Rouen Normandie France Lausanne Switzerland School of Engineering and Applied Science Harvard University United States ICube University of Strasbourg CNRS France Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Techno-Pôle 3 Sierre3960 Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Rue du Bugnon 46 LausanneCH-1011 Switzerland University of Pennsylvania PhiladelphiaPA United States Department of Radiology University of Washington United States Wellcome EPSRC Centre for Interventional and Surgical Sciences University College London London United Kingdom Visual Artificial Intelligence Lab Oxford Brookes University Oxford United Kingdom Universitat Autònoma de Barcelona & Computer Vision Center Spain Dresden Fetscherstraße 74 PF 64 Dresden01307 Germany

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known about the common practice as well as bottlenecks faced by the community in tackling the research questions posed. To shed light on the status quo of algorithm development in the specific field of biomedical imaging analysis, we designed an international survey that was issued to all participants of challenges conducted in conjunction with the IEEE ISBI 2021 and MICCAI 2021 conferences (80 competitions in total). The survey covered participants' expertise and working environments, their chosen strategies, as well as algorithm characteristics. A median of 72% challenge participants took part in the survey. According to our results, knowledge exchange was the primary incentive (70%) for participation, while the reception of prize money played only a minor role (16%). While a median of 80 working hours was spent on method development, a large portion of participants stated that they did not have enough time for method development (32%). 25% perceived the infrastructure to be a bottleneck. Overall, 94% of all solutions were deep learning-based. Of these, 84% were based on standard architectures. 43% of the respondents reported that the data samples (e.g., images) were too large to be processed at once. This was most commonly addressed by patch-based training (69%), downsampling (37%), and solving 3D analysis tasks as a series of 2D tasks. K-fold cross-validation on the training set was performed by only 37% of the participants and only 50% of the participants performed ensembling based on multiple identical models (61%) or heterogeneous models (39%). 48% of the respondents applied postprocessing steps. © 2022, CC BY.

关键词： Benchmarking

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO–Virgo Observing Run

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physical Review Letters 2021年第24期126卷 241102-241102页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Auclair P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo S. Barnum F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. D LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics and Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illi

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO–Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10−15. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

关键词： Cosmic strings & domain walls Gravitational waves

Current md forcefields fail to capture key features of protein structure and fluctuations: a case study of cyclophilin a and t4 lysozyme

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arXiv 2020年

作者： Mei, Zhe Grigas, Alex T. Treado, John D. Corres, Gabriel Melendez Vuorte, Maisa Sammalkorpi, Maria Regan, Lynne Levine, Zachary A. O’Hern, Corey S. Department of Chemistry Yale University New HavenCT06520 United States Integrated Graduate Program in Physical and Engineering Biology Yale University New HavenCT06520 United States Graduate Program in Computational Biology and Bioinformatics Yale University New HavenCT06520 United States Department of Mechanical Engineering and Materials Science Yale University New HavenCT06520 United States Department of Biology UPR Humacao Puerto RicoHumacao00792 Puerto Rico Department of Chemistry and Materials Science School of Chemical Engineering Aalto University Aalto Finland Department of Bioproducts and Biosystems School of Chemical Engineering Aalto University Aalto Finland Institute of Quantitative Biology Biochemistry and Biotechnology Center for Synthetic and Systems Biology School of Biological Sciences University of Edinburgh Edinburgh United Kingdom Department of Pathology Yale School of Medicine New HavenCT06520 United States Department of Molecular Biophysics and Biochemistry Yale University New HavenCT06520 United States Department of Physics Yale University New HavenCT06520 United States Department of Applied Physics Yale University New HavenCT06520 United States

Globular proteins undergo thermal fluctuations in solution, while maintaining an overall well-defined folded structure. In particular, studies have shown that the core structure of globular proteins differs in small, but significant ways when they are solved by x-ray crystallography versus solution-based NMR spectroscopy. Given these discrepancies, it is unclear whether molecular dynamics (MD) simulations can accurately recapitulate protein conformations. We therefore perform extensive MD simulations across multiple force fields and sampling techniques to investigate the degree to which computer simulations can capture the ensemble of conformations observed in experiments. By analyzing fluctuations in the atomic coordinates and core packing, we show that conformations sampled in MD simulations both move away from and sample a larger conformational space than the ensemble of structures observed in NMR experiments. However, we find that adding inter-residue distance restraints that match those obtained via Nuclear Overhauser Effect measurements enables the MD simulations to sample more NMR-like conformations, though significant differences between the core packing features in restrained MD and the NMR ensemble remain. Given that the protein structures obtained from the MD simulations possess smaller and less dense protein cores compared to those solved by NMR, we suggest that future improvements to MD forcefields should aim to increase the packing of hydrophobic residues in protein cores. © 2020, CC BY.

关键词： Molecular dynamics