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arXiv 2022年

作者： Huber, Patrick Scholberg, Kate Worcester, Elizabeth Asaadi, Jonathan Balantekin, A. Baha Bowden, Nathaniel Coloma, Pilar Denton, Peter B. de Gouvêa, André Fields, Laura Friend, Megan Gardiner, Steven Giunti, Carlo Gruszko, Julieta Jones, Benjamin J.P. Karagiorgi, Georgia Kaufman, Lisa Klein, Joshua R. Koerner, Lisa W. Koshio, Yusuke Link, Jonathan M. Littlejohn, Bryce R. Machado, Ana A. Machado, Pedro A.N. Mahn, Kendall Marino, Alysia D. Messier, Mark D. Mocioiu, Irina Newby, Jason O’Sullivan, Erin Ochoa-Ricoux, Juan Pedro Orebi Gann, Gabriel D. Parno, Diana S. Pastore, Saori Schmitz, David W. Shoemaker, Ian M. Sousa, Alexandre Spitz, Joshua Strauss, Raimund Strigari, Louis E. Tamborra, Irene Tanaka, Hirohisa A. Wang, Wei Yu, Jaehoon Babu, K.S. Bernstein, Robert H. Conley, Erin De Roeck, Albert Himmel, Alexander I. Jo, Jay Hyun Lee, Claire Mohayai, Tanaz A. Palladino, Kim J. Pandey, Vishvas Sanchez, Mayly C. Wong, Yvonne Y.Y. Zettlemoyer, Jacob Zhang, Xianyi Pocar, Andrea Center for Neutrino Physics Physics Department Virginia Tech BlacksburgVA24061 United States Department of Physics Duke University DurhamNC27708 United States Department of Physics Brookhaven National Laboratory UptonNY11973 United States Department of Physics University of Texas at Arlington ArlingtonTX76019 United States Department of Physics University of Wisconsin Madison MadisonWI53706 United States Lawrence Livermore National Laboratory LivermoreCA94550 United States Instituto de Fisica Teorica UAM-CSIC Campus de Cantoblanco Madrid28049 Spain High Energy Theory Group Physics Department Brookhaven National Laboratory UptonNY11973 United States Physics & Astronomy Department Northwestern University EvanstonIL60208-3112 United States Department of Physics and Astronomy University of Notre Dame IN46556 United States Ibaraki Tsukuba305-0801 Japan Physics Simulation Department Fermi National Accelerator Laboratory BataviaIL60510 United States Torino Italy Department of Physics and Astronomy University of North Carolina at Chapel Hill Chapel HillNC27599 United States Triangle Universities Nuclear Laboratory DurhamNC27708 United States Department of Physics Columbia University New YorkNY10027 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Department of Physics University of Houston HoustonTX77204 United States Department of Physics Okayama University Okayama Okayama7000803 Japan Department of Physics Illinois Institute of Technology ChicagoIL60616 United States Department of Cosmic Rays and Chronology University of Campinas SP Campinas13083-859 Brazil Theory Division Fermi National Accelerator Laboratory BataviaIL60510 United States Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Department of Physics University of Colorad

The discovery of neutrino mixing and oscillation, which implies that neutrinos have non-zero mass, was the first, and remains the only, laboratory demonstration of non-Standard Model physics. Neutrino mass requires the addition of new degrees of freedom — new interactions — to the Standard Model Lagrangian, but we do not yet know what form that will take or the profound impact it will have on particle physics. Over the past two decades, a successful and growing neutrino physics program has demonstrated unequivocally that neutrino mixing involves all three known flavors, has provided precision measurements of many of the parameters describing three-flavor neutrino mixing, and has greatly improved our understanding of neutrino properties and their interactions with matter. However, anomalous results have raised intriguing questions about the possibility of additional particles or interactions and our most fundamental questions about neutrinos remain unanswered. What is the origin of neutrino mass and why are neutrino masses so tiny compared to other Standard Model particles? Why is neutrino mixing so different from mixing in the quark sector? Is the three-flavor neutrino picture complete? The answers to these questions will lead to extensions of the Standard Model and are fundamentally linked to our understanding of the Universe. The physics of neutrinos and the physics that can be done with neutrinos extends from sub-eV to EeV – across eighteen orders of magnitude – and touches nearly every other area of particle physics. Right-handed neutrinos, which are arguably the most minimal addition to the Standard Model that can accommodate neutrino masses, could be a portal to a potential dark sector. Many of the ideas about how to generate neutrino mass also address questions like the baryon asymmetry of the universe, or lead to new phenomena observable at current and future colliders, or predict rare processes like the lepton-number-violating neutrinoless double beta decay

关键词： Degrees of freedom (mechanics)

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A Key technology Survey and Summary of Dynamic Network Visualization

A Key Technology Survey and Summary of Dynamic Network Visua...

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2017 IEEE 8th International Conference on Software Engineering and Service science

作者： Yu Shaobo Wu Lingda Science and Technology on Complex Electronic System Simulation Laboratory Aerospace Engineering University

Network visualization is a time-honored research direction, which can be traced back to the graph *** data of dynamic network is constantly updated, which brings some challenges to dynamic network visualization. Dynamic network visualization mainly includes network layout, network property visualization and user interaction, therefore, this paper focuses on the research and review of some key technologies,including layout technology, visualization technology and interactive technology. The aim of this paper is to provide some technical support for the research of the key technology of dynamic network visualization.

关键词： dynamic network layout visualization interaction

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The tianQin project: Current progress on science and technology

arXiv

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arXiv 2020年

作者： Mei, Jianwei Bai, Yan-Zheng Bao, Jiahui Barausse, Enrico Cai, Lin Canuto, Enrico Cao, Bin Chen, Wei-Ming Chen, Yu Ding, Yan-Wei Duan, Hui-Zong Fan, Huimin Feng, Wen-Fan Fu, Honglin Gao, Qing Gao, TianQuan Gong, Yungui Gou, Xingyu Gu, Chao-Zheng Gu, De-Feng He, Zi-Qi Hendry, Martin Hong, Wei Hu, Xin-Chun Hu, Yi-Ming Hu, Yuexin Huang, Shun-Jia Huang, Xiang-Qing Jiang, Qinghua Jiang, Yuan-Ze Jiang, Yun Jiang, Zhen Jin, Hong-Ming Korol, Valeriya Li, Hong-Yin Li, Ming Li, Ming Li, Pengcheng Li, Rongwang Li, Yuqiang Li, Zhu Li, Zhulian Li, Zhu-Xi Liang, Yu-Rong Liang, Zheng-Cheng Liao, Fang-Jie Liu, Shuai Liu, Yan-Chong Liu, Li Liu, Pei-Bo Liu, Xuhui Liu, Yuan Lu, Xiong-Fei Lu, Yang Lu, Ze-Huang Luo, Yan Luo, Zhi-Cai Milyukov, Vadim Ming, Min Pi, Xiaoyu Qin, Chenggang Qu, Shao-Bo Sesana, Alberto Shao, Chenggang Shi, Changfu Su, Wei Tan, Ding-Yin Tan, Yujie Tan, Zhuangbin Tu, Liang-Cheng Wang, Bin Wang, Cheng-Rui Wang, Fengbin Wang, Guan-Fang Wang, Haitian Wang, Jian Wang, Lijiao Wang, Panpan Wang, Xudong Wang, Yan Wang, Yi-Fan Wei, Ran Wu, Shu-Chao Xiao, Chun-Yu Xu, Xiao-Shi Xue, Chao Yang, Fang-Chao Yang, Liang Yang, Ming-Lin Yang, Shan-Qing Ye, Bobing Yeh, Hsien-Chi Yu, Shenghua Zhai, Dongsheng Zhang, Caishi Zhang, Haitao Zhang, Jian-Dong Zhang, Jie Zhang, Lihua Zhang, Xin Zhang, Xuefeng Zhou, Hao Zhou, Ming-Yue Zhou, Ze-Bing Zhu, Dong-Dong Zi, Tie-Guang Luo, Jun Zhuhai519082 China Centre for Gravitational Experiments School of Physics MOE Key Laboratory of Fundamental Physical Quantities Measurement Hubei Key Laboratory of Gravitation and Quantum Physics PGMF Huazhong University of Science and Technology Wuhan430074 China DFH Satellite Co. Ltd. Beijing100094 China Yunnan Observatories Chinese Academy of Sciences Kunming650011 China Beijing Institute of Control Engineering Beijing100094 China Beijing Institute of Spacecraft System Engineering Beijing100094 China SISSA Via Bonomea 265 Trieste34136 Italy INFN Sezione di Trieste IFPU - Institute for Fundamental Physics of the Universe Via Beirut 2 Trieste34014 Italy Former Faculty Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy School of Physical Science and Technology Southwest University Chongqing400715 China SUPA School of Physics and Astronomy University of Glasgow GlasgowG12 8QQ United Kingdom National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing100049 China School of Physics and Astronomy University of Birmingham BirminghamB15 2TT United Kingdom Center for High Energy Physics Department of Physics State Key Laboratory of Nuclear Physics and Technology Peking University No.5 Yiheyuan Rd Beijing100871 China Lomonosov Moscow State University Sternberg Astronomical Institute Moscow119992 Russia Dipartimento di Fisica "G. Occhialini" Universitá degli Studi Milano Bicocca Piazza della Scienza 3 MilanoI-20126 Italy School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai200240 China Purple Mountain Observatory Chinese Academy of Sciences Nanjing210023 China School of Astronomy and Space Science University of Science and Technology of China HefeiAnhui230026 China HannoverD-30167 Germany Leibniz Universität Hannover HannoverD-30167 Germany Department of Physics College of Sci

TianQin is a planned space-based gravitational wave (GW) observatory consisting of three earth orbiting satellites with an orbital radius of about 105 km. The satellites will form a equilateral triangle constellation the plane of which is nearly perpendicular to the ecliptic plane. TianQin aims to detect GWs between 10−4 Hz and 1 Hz that can be generated by a wide variety of important astrophysical and cosmological sources, including the inspiral of Galactic ultra-compact binaries, the inspiral of stellar-mass black hole binaries, extreme mass ratio inspirals, the merger of massive black hole binaries, and possibly the energetic processes in the very early universe or exotic sources such as cosmic strings. In order to start science operations around 2035, a roadmap called the 0123 plan is being used to bring the key technologies of TianQin to maturity, supported by the construction of a series of research facilities on the ground. Two major projects of the 0123 plan are being carried out. In this process, the team has created a new generation 17 cm single-body hollow corner-cube retro-reflector which has been launched with the QueQiao satellite on 21 May 2018;a new laser ranging station equipped with a 1.2 m telescope has been constructed and the station has successfully ranged to all the five retro-reflectors on the Moon;and the TianQin-1 experimental satellite has been launched on 20 December 2019 and the first round result shows that the satellite has exceeded all of its mission requirements. Copyright © 2020, The Authors. All rights reserved.

关键词： Orbits

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Irrigation in the Earth system

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Nature Reviews Earth & Environment 2023年 435-453页

作者： Sonali McDermid Jonas Jägermeyr Benjamin I. Cook Mallika Nocco Patricia Lawston-Parker Joe Santanello Jessica Keune Yadu Pokhrel Meha Jain Luca Brocca Christian Massari Andrew D. Jones Pouya Vahmani Wim Thiery Yi Yao Andrew Bell Liang Chen Wouter Dorigo Luca Zappa Naota Hanasaki Scott Jasechko Min-Hui Lo Rezaul Mahmood Vimal Mishra Nathaniel D. Mueller Lindsey Sloat Dev Niyogi Sam S. Rabin Fei Chen Danica Lombardozzi Yoshihide Wada Hyungjun Kim Yusuke Satoh Jan Polcher Dongryeol Ryu Sonia Seneviratne Deepti Singh Tokuta Yokohata Department of Environmental Studies New York University New York NY USA NASA Goddard Institute for Space Studies New York NY USA Columbia University Climate School New York NY USA Potsdam Institute for Climate Impact Research (PIK) Member of the Leibniz Association Potsdam Germany Department of Land Air and Water Resources University of California Davis CA USA NASA Goddard Space Flight Center Greenbelt MD USA University of Maryland Earth System Science Interdisciplinary Center College Park MD USA Department of Environment Ghent University Ghent Belgium Department of Civil and Environmental Engineering Michigan State University East Lansing MI USA School for Environment and Sustainability University of Michigan Ann Arbor MI USA National Research Council Research Institute for Geo-Hydrological Protection (CNR-IRPI) Perugia Italy Climate and Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA USA Energy and Resources Group University of California Berkeley CA USA Department of Hydrology and Hydraulic Engineering Vrije Universiteit Brussel Brussels Belgium Department of Earth & Environment Boston University Boston MA USA Department of Earth & Atmospheric Sciences University of Nebraska-Lincoln Lincoln NE USA Department of Geodesy and Geoinformation TU Wien Vienna Austria Center for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan Bren School of Environmental Science and Management University of California Santa Barbara CA USA Department of Atmospheric Sciences National Taiwan University Taipei Taiwan High Plains Regional Climate Center School of Natural Resources University of Nebraska-Lincoln Lincoln NE USA Civil Engineering and Earth Sciences Indian Institute of Technology (IIT) Gandhinagar Gandhinagar India Department of Ecosystem Science and Sustainability Colorado State University Fort Collins CO USA Department of Soil and Crop Sciences Colorado State University For

Irrigation accounts for ~70% of global freshwater withdrawals and ~90% of consumptive water use, driving myriad Earth system impacts. In this Review, we summarize how irrigation currently impacts key components of the Earth system. Estimates suggest that more than 3.6 million km2of currently irrigated land, with hot spots in the intensively cultivated US High Plains, California Central Valley, Indo-Gangetic Basin and northern China. Process-based models estimate that ~2,700 ± 540 km3irrigation water is withdrawn globally each year, broadly consistent with country-reported values despite these estimates embedding substantial uncertainties. Expansive irrigation has modified surface energy balance and biogeochemical cycling. A shift from sensible to latent heat fluxes, and resulting land–atmosphere feedbacks, generally reduce regional growing season surface temperatures by ~1–3 °C. Irrigation can ameliorate temperature extremes in some regions, but conversely exacerbates moist heat stress. Modelled precipitation responses are more varied, with some intensive cropping regions exhibiting suppressed local precipitation but enhanced precipitation downstream owing to atmospheric circulation interactions. Additionally, irrigation could enhance cropland carbon uptake; however, it can also contribute to elevated methane fluxes in rice systems and mobilize nitrogen loading to groundwater. Cross-disciplinary, integrative research efforts can help advance understanding of these irrigation–Earth system interactions, and identify and reduce uncertainties, biases and limitations.

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Thank You to Our 2021 Reviewers

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Journal of Geophysical Research: Oceans 2022年第5期127卷 e2022JC018761-e2022JC018761页

作者： Lisa M. Beal Don Chambers Marjorie A. M. Friedrichs Chellappan Gnanaseelan Nathalie F. Goodkin Robert D. Hetland Ryan P. Mulligan Takeyoshi Nagai Joanne (Joe) O’Callaghan Laurence (Laurie) Padman Nadia Pinardi Hannah E. Power Arvind Singh Lars Umlauf Anna Wåhlin Fanghua Xu Lei Zhou Rosenstiel School of Marine & Atmospheric Science University of Miami Miami FL USA L. M. Beal College of Marine Science University of South Florida St. Petersburg FL USA College of Williams & Mary Virginia Institute of Marine Science Gloucester Pt. VA USA Indian Institute of Tropical Meteorology Pune India Department of Earth and Planetary Sciences American Museum of Natural History New York NY USA Department of Oceanography Texas A&M University College Station TX USA Department of Civil Engineering Queen's University Kingston ON Canada Department of Ocean Sciences Tokyo University of Marine Science and Technology Tokyo Japan National Institute of Water and Atmospheric Research Wellington New Zealand Earth and Space Research Corvallis OR USA Laboratorio SINCEM University of Bologna Ravenna Italy School of Environmental and Life Sciences University of Newcastle Newcastle NSW Australia Physical Research Laboratory Ahmedabad India Leibniz-Institute for Baltic Sea Research (IOW) Warnemuende Germany Department of Marine Sciences University of Gothenburg Gothenburg Sweden Department of Earth System Science Tsinghua University Beijing China Institute of Oceanography Shanghai Jiao Tong University Shanghai China

The editors thank the 2021 peer reviewers Thank you to the 1,371 reviewers who provided 2,661 reviews during 2021 to ensure the same quality and integrity of JGR-O manuscripts.

关键词： editorial peer review

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Survey on Multilayer Networks Visualization

Survey on Multilayer Networks Visualization

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2017 IEEE 8th International Conference on Software Engineering and Service science

作者： ZHANG Xitao WU Lingda YU Shaobo ZHOU Peng Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University The Chinese People's Liberation Army 91404 Troops

Based on the survey about the criterion of network visualization, some visualization challenges for multilayer networks are introduced. After a brief overview of the strategies and the previous work on multilayer netw... 详细信息

关键词： multilayer networks network visualization information visualization

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Incorporating AEGIS autonomous science into mars science laboratory rover mission operations 15th

Incorporating AEGIS autonomous science into mars science lab...

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15th International Conference on space Operations, spaceOps 2018

作者： Francis, Raymond Estlin, Tara Doran, Gary Gaines, Daniel Johnstone, Stephen Montaño, Suzanne Peret, Laurent Mousset, Valérie Gasnault, Olivier Frydenvang, Jens Wiens, Roger C. Schaffer, Steven Pavri, Betina Verma, Vandana Chattopadhyay, Debarati Bornstein, Benjamin Mittal, Nimisha Deflores, Lauren Jet Propulsion Laboratory Machine Learning and Instrument Autonomy Research Group California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Artificial Intelligence Research Group California Institute of Technology PasadenaCA91109 United States Intelligence and Space Research Division Los Alamos National Laboratory Los AlamosNM87545 United States Telespazio France FIMOC Toulouse France FIMOC Centre National d’Études Spatiales Toulouse France FIMOC Institut de Recherche en Astrophysique et Planétologie Université de Toulouse CNRS CNES UPS France Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark Los Alamos National Laboratory Intelligence and Space Research Division Los AlamosNM87545 United States Jet Propulsion Laboratory Artificial Intelligence Research Group California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Instrument Operations Engineering Group California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Robot Operations Group California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Planning and Sequencing Systems Group California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Electronics and Software Section California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Science Planning Group California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory Instrument System Engineering Group California Institute of Technology PasadenaCA91109 United States

ISBN: (数字)9781624105623

ISBN: (纸本)9781624105623

The AEGIS (Autonomous Exploration for Gathering Increased science) intelligent targeting software system has been in use on the Mars science laboratory (MSL) mission since 2016. The system allows on-board autonomous selection of targets for the ChemCam remote geochemistry instrument based on analysis of images taken by the rover. This paper describes the deployment of AEGIS to MSL and the operational use of the system since rollout to science operations in May of 2016. We describe how MSL science Operations have adapted to include autonomous target selection, both in procedures and in exploration strategies, and how mission planners and scientists have used AEGIS autonomy to enhance their work on the MSL mission. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Rovers

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The pencil code, a modular MPI code for partial differential equations and particles: Multipurpose and multiuser-maintained

arXiv

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arXiv 2020年

作者： Brandenburg, Axel Johansen, Anders Bourdin, Philippe A. Dobler, Wolfgang Lyra, Wladimir Rheinhardt, Matthias Bingert, Sven Haugen, Nils Erland L. Mee, Antony Gent, Frederick Yang, Chao-Chin Heinemann, Tobias Dintrans, Boris Mitra, Dhrubaditya Candelaresi, Simon Warnecke, Jörn Käpylä, Petri J. Chatterjee, Piyali Käpylä, Maarit J. Li, Xiang-Yu Krüger, Jonas Aarnes, Jørgen R. Sarson, Graeme R. Oishi, Jeffrey S. Schober, Jennifer Plasson, Raphaël Sandin, Christer Karchniwy, Ewa Rodrigues, Luiz Felippe S. Hubbard, Alexander Guerrero, Gustavo Snodin, Andrew Losada, Illa R. Pekkilä, Johannes Qian, Chengeng Nordita KTH Royal Institute of Technology Stockholm University Sweden Department of Astronomy Stockholm University Sweden McWilliams Center for Cosmology Department of Physics Carnegie Mellon University PA United States GLOBE Institute University of Copenhagen Denmark Space Research Institute Graz Austria Bruker Potsdam Germany New Mexico State University Department of Astronomy Las CrucesNM United States Astroinformatics Department of Computer Science Aalto University Finland Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen Germany SINTEF Energy Research Trondheim Norway Norwegian University of Science and Technology Norway Bank of America Merrill Lynch London United Kingdom School of Mathematics Statistics and Physics Newcastle University United Kingdom University of Nevada Las Vegas United States Niels Bohr International Academy Denmark CINES Montpellier France School of Mathematics and Statistics University of Glasgow United Kingdom Max Planck Institute for Solar System Research Germany Institute for Astrophysics University of Göttinge Germany Indian Institute of Astrophysics Bengaluru India Department of Physics & Astronomy Bates College ME United States Laboratoire d’Astrophysique EPFL Sauverny Switzerland Avignon Université France Institute of Thermal Technology Silesian University of Technology Poland Radboud University Netherlands Department of Astrophysics American Museum of Natural History NY United States Physics Department Universidade Federal de Minas Gerais Belo Horizonte Brazil State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology China

The Pencil Code is a highly modular physics-oriented simulation code that can be adapted to a wide range of applications. It is primarily designed to solve partial differential equations (PDEs) of compressible hydrodynamics and has lots of add-ons ranging from astrophysical magnetohydrodynamics (MHD) (A. Brandenburg and Dobler 2010) to meteorological cloud microphysics (Li et al. 2017) and engineering applications in combustion (Babkovskaia, Haugen, and Brandenburg 2011). Nevertheless, the framework is general and can also be applied to situations not related to hydrodynamics or even PDEs, for example when just the message passing interface or input/output strategies of the code are to be used. The code can also evolve Lagrangian (inertial and noninertial) particles, their coagulation and condensation, as well as their interaction with the fluid. A related module has also been adapted to perform ray tracing and to solve the eikonal equation. The code is being used for Cartesian, cylindrical, and spherical geometries, but further extensions are possible. One can choose between different time stepping schemes and different spatial derivative operators. High-order first and second derivatives are used to deal with weakly compressible turbulent flows. There are also different diffusion operators to allow for both direct numerical simulations (DNS) and various types of large-eddy simulations (LES). © 2020, CC BY.

关键词： Partial differential equations

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load

Ancillary service for frequency regulation based on multi-en...

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The 11th IET International Conference on Advances in Power system Control, Operation and Management (APSCOM 2018)

作者： Jiazhen Wang Xinwei Shen Yinliang Xu Qinglai Guo Hongbin Sun Yanbo Chen Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

ISBN: (数字)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of Energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated Energy system (IES), therefore, the introduction and exploration of Multi-energy Virtual Power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as Energy Storage system (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive Control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model.

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Three low-mass companions around aged stars discovered by TESS

arXiv

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arXiv 2022年

作者： Lin, Zitao Gan, Tianjun Wang, Sharon X. Shporer, Avi Rabus, Markus Zhou, George Psaridi, Angelica Bouchy, François Bieryla, Allyson Latham, David W. Mao, Shude Stassun, Keivan G. Hellier, Coel Howell, Steve B. Ziegler, Carl Caldwell, Douglas A. Clark, Catherine A. Collins, Karen A. Curtis, Jason L. Faherty, Jacqueline K. Gnilka, Crystal L. Grunblatt, Samuel K. Jenkins, Jon M. Johnson, Marshall C. Law, Nicholas Lendl, Monika Littlefield, Colin Lund, Michael B. Lund, Mikkel N. Mann, Andrew W. McDermott, Scott Mishra, Lokesh Mounzer, Dany Paegert, Martin Pritchard, Tyler Ricker, George R. Seager, Sara Srdoc, Gregor Sun, Qinghui Tang, Jiaxin Udry, Stéphane Vanderspek, Roland Watanabe, David Winn, Joshua N. Yu, Jie Department of Astronomy Tsinghua University Beijing100084 China Department of Physics Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA02139 United States Departamento de Matemática y Física Aplicadas Facultad de Ingeniería Universidad Católica de la Santísima Concepción Alonso de Rivera Concepción2850 Chile Centre for Astrophysics University of Southern Queensland West Street ToowoombaQLD4350 Australia Observatoire de Genève Université de Genève Chemin Pegasi 51 Versoix1290 Switzerland Center for Astrophysics Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States National Astronomical Observatories Chinese Academy of Sciences 20A Datun Road Chaoyang District Beijing100012 China Department of Physics and Astronomy Vanderbilt University NashvilleTN37235 United States Astrophysics Group Keele University StaffordshireST5 5BG United Kingdom NASA Ames Research Center Moffett FieldCA94035 United States Department of Physics Engineering and Astronomy Stephen F. Austin State University 1936 North St NacogdochesTX75962 United States SETI Institute Mountain ViewCA94043 United States Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States NASA Exoplanet Science Institute IPAC California Institute of Technology PasadenaCA91125 United States Department of Astronomy Columbia University 550 West 120th Street New YorkNY United States Department of Astrophysics American Museum of Natural History Central Park West at 79th St. New YorkNY10024 United States Department of Physics and Astronomy Johns Hopkins University 3400 N Charles St BaltimoreMD21218 United States Department of Astronomy The Ohio State University 4055 McPherson Laboratory 140 West 18th Avenue ColumbusOH43210 United States Department of Physics and Astronomy The University of North Carolina at Chapel Hill Chapel HillNC27599-3255 United States Bay Area Environmenta

We report the discovery of three transiting low-mass companions to aged stars: a brown dwarf (TOI-2336b) and two objects near the hydrogen burning mass limit (TOI-1608b and TOI-2521b). These three systems were first identified using data from the Transiting Exoplanet Survey Satellite (TESS). TOI-2336b has a radius of 1.05 ± 0.04 RJ, a mass of 69.9 ± 2.3 MJ and an orbital period of 7.71 days. TOI-1608b has a radius of 1.21 ± 0.06 RJ, a mass of 90.7 ± 3.7 MJ and an orbital period of 2.47 days. TOI-2521b has a radius of 1.01 ± 0.04 RJ, a mass of 77.5 ± 3.3 MJ and an orbital period of 5.56 days. We found all these low-mass companions are inflated. We fitted a relation between radius, mass and incident flux using the sample of known transiting brown dwarfs and low-mass M dwarfs. We found a positive correlation between the flux and the radius for brown dwarfs and for low-mass stars that is weaker than the correlation observed for giant planets. We also found that TOI-1608 and TOI-2521 are very likely to be spin-orbit synchronized, leading to the unusually rapid rotation of the primary stars considering their evolutionary stages. Our estimates indicate that both systems have much shorter spin-orbit synchronization timescales compared to their ages. These systems provide valuable insights into the evolution of stellar systems with brown dwarf and low-mass stellar companions influenced by tidal effects. © 2022, CC BY.

关键词： Orbits

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