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arXiv 2023年

作者： Aydi, E. Chomiuk, L. Mikolajewska, J. Brink, J. Metzger, B.D. Strader, J. Buckley, D.A.H. Harvey, E.J. Holoien, T.W.-S. Izzo, L. Kawash, A. Linford, J.D. Molaro, P. Mollina, B. Mróz, P. Mukai, K. Orio, M. Panurach, T. Senchyna, P. Shappee, B.J. Shen, K.J. Sokoloski, J.L. Sokolovsky, K.V. Urquhart, R. Williams, R.E. Center for Data Intensive and Time Domain Astronomy Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Nicolaus Copernicus Astronomical Center Polish Academy of Sciences Bartycka 18 WarsawPL 00-716 Poland South African Astronomical Observatory P.O. Box 9 Observatory7935 South Africa Department of Astronomy University of Cape Town Private Bag X3 Rondebosch7701 South Africa Department of Physics Columbia Astrophysics Laboratory Columbia University New YorkNY10027 United States Center for Computational Astrophysics Flatiron Institute 162 5th Ave New YorkNY10010 United States UK Astronomy Technology Centre Royal Observatory Blackford Hill EdinburghEH9 3HJ United Kingdom Carnegie Observatories 813 Santa Barbara Street PasadenaCA91101 United States DARK Niels Bohr Institute University of Copenhagen Jagtvej 128 Copenhagen Ø2200 Denmark National Radio Astronomy Observatory P.O. Box O SocorroNM87801 United States INAF-Osservatorio Astronomico di Trieste Via G.B. Tiepolo 11 TriesteI-34143 Italy Institute of Fundamental Physics of the Universe Via Beirut 2 Miramare Trieste Italy Astronomical Observatory University of Warsaw Al. Ujazdowskie 4 Warszawa00-478 Poland CRESST and X-ray Astrophysics Laboratory NASA/GSFC GreenbeltMD20771 United States Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States INAF–Osservatorio di Padova vicolo dell’Osservatorio 5 PadovaI-35122 Italy Department of Astronomy University of Wisconsin 475 N. Charter St. MadisonWI53704 United States Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive HonoluluHI96822 United States Department of Astronomy Theoretical Astrophysics Center University of California BerkeleyCA94720 United States Columbia Astrophysics Laboratory Department of Physics Columbia University New YorkNY10027 United States Department of Astronomy University of Illinois

We present early spectral observations of the very slow Galactic nova Gaia22alz, over its gradual rise to peak brightness that lasted 180 days. During the first 50 days, when the nova was only 3–4 magnitudes above its normal brightness, the spectra showed narrow (FWHM ≈ 400 km s−1) emission lines of H Balmer, He i, He ii, and C iv, but no P Cygni absorption. A few weeks later, the high-excitation He ii and C iv lines disappeared, and P Cygni profiles of Balmer, He i, and eventually Fe ii lines emerged, yielding a spectrum typical of classical novae before peak. We propose that the early spectra of Gaia22alz are produced in the white dwarf’s envelope or accretion disk, reprocessing X-ray and ultraviolet emission from the white dwarf after a dramatic increase in the rate of thermonuclear reactions, during a phase known as the "early X-ray/UV flash". If true, this would be one of the rare times that the optical signature of the early X-ray/UV flash has been detected. While this phase might last only a few hours in other novae and thus be easily missed, it was possible to detect in Gaia22alz due to its very slow and gradual rise and thanks to the efficiency of new all-sky surveys in detecting transients on their rise. We also consider alternative scenarios that could explain the early spectral features of Gaia22alz and its unusually slow rise. © 2023, CC BY-NC-ND.

关键词： White dwarfs

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Ti interstitial flows giving rutile TiO2 reoxidation process enhanced in (001) surface

arXiv

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arXiv 2019年

作者： Ichibha, Tom Benali, Anouar Hongo, Kenta Maezono, Ryo School of Information Science JAIST 1-1 Asahidai NomiIshikawa923-1292 Japan Computational Science Division Argonne National Laboratory 9700 Cass Avenue LemontIL60439 United States Research Center for Advanced Computing Infrastructure JAIST 1-1 Asahidai NomiIshikawa923-1292 Japan Center for Materials Research by Information Integration Research and Services Division of Materials Data and Integrated System National Institute for Materials Science 1-2-1 Sengen Tsukuba305-0047 Japan PRESTO Japan Science and Technology Agency 4-1-8 Honcho Kawaguchi-shi Saitama322-0012 Japan Computational Engineering Applications Unit RIKEN 2-1 Hirosawa Wako Saitama351-0198 Japan

We revisited ab initio evaluations of the energy barriers along the possible diffusion paths of the defects in rutile TiO2. By using a method carefully considering the cancellation of the self-interaction, Ti interstitials hopping along c-axis are identified as the major diffusion directing to [001] surface. The conclusion is contradicting to any of previous theoretical works, and the discrepancy is explained by the overestimation of the radius of defects due to the poor cancellations in the previous works. The updated prediction here can explain the superior photocatalysis activity in [001] surface to [110]. Copyright © 2019, The Authors. All rights reserved.

关键词： Titanium dioxide

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From mechanism to medicine: The progress and potential of epigenetics in osteoarthritis

Osteoarthritis and Cartilage Open

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Osteoarthritis and Cartilage Open 2025年第3期7卷 100621-100621页

作者： Roberts, Jack B. Rockel, Jason S. Mulders, Rick Capellini, Terence D. Appleton, C. Thomas Phanstiel, Douglas H. Lories, Rik Geurts, Jeroen Ali, Shabana Amanda Bhutani, Nidhi Stone, Laura Cruz-Almeida, Yenisel Jurisica, Igor Boer, Cindy G. Ramos, Yolande F.M. Rice, Sarah J. Kapoor, Mohit Biosciences Institute Newcastle University Newcastle upon Tyne United Kingdom Division of Orthopedics Osteoarthritis Research Program Schroeder Arthritis Institute University Health Network and Krembil Research Institute University Health Network Toronto ON Canada Department of Medical Biophysics and Computer Science University of Toronto Toronto ON Canada Department of Biomedical Data Sciences Section Molecular Epidemiology Leiden University Medical Center Leiden Netherlands Department of Human Evolutionary Biology Harvard University Cambridge MA United States Bone and Joint Institute and Department of Medicine Schulich School of Medicine and Dentistry Western University London Canada Curriculum in Bioinformatics and Computational Biology University of North Carolina Chapel Hill NC United States Laboratory of Tissue Homeostasis and Disease Skeletal Biology and Engineering Research Centre Department of Development and Regeneration KU Leuven Leuven Belgium Division of Rheumatology University Hospitals Leuven Leuven Belgium Rheumatology Department of Musculoskeletal Medicine Lausanne University Hospital and University of Lausanne (CHUV-UNIL) Lausanne Switzerland Bone and Joint Center Henry Ford Health + Michigan State University Health Sciences Detroit MI United States Department of Orthopaedic Surgery Stanford School of Medicine Stanford CA United States Department of Anesthesiology School of Medicine University of Minnesota Minneapolis MN United States Pain Research and Intervention Center of Excellence (PRICE) at the University of Florida Gainesville FL United States Department of Internal Medicine Genomics Medicine Center Erasmus MC University Medical Center Rotterdam Netherlands Department of Laboratory Medicine and Pathobiology University of Toronto Toronto ON Canada Department of Surgery University of Toronto Toronto ON Canada

Objective: Osteoarthritis (OA) is a chronic, degenerative disease of the articular joints. The disease presents an enormous clinical and economic burden globally, due in part to the lack of disease modifying therapies. For over a decade, OA researchers have been working to determine epigenetic mechanisms underlying the disease to better understand pathology, identify biomarkers of progression, and pinpoint novel targets for therapeutic intervention. Design: This article presents a summary of the 3rd International Workshop on the Epigenetics of Osteoarthritis held in Toronto, Ontario, Canada, in September 2024. The purpose of this meeting was to gather the international community to discuss the status of OA epigenetic research and share expertise on innovative techniques for future. Results: Since the two previous meetings, there has been increasing adoption of advanced single-cell and spatial sequencing technologies and bioinfomatic analyses. Furthermore, investigations of multiple joint tissues has highlighted the shifting paradigm from OA as a cartilage centric disease to the consideration of all joint tissues. Conclusions: The workshop provided a unique opportunity for early-career researchers to expand their network, and for all participants to discuss new or improved approaches to advance the field, including international consortia and data sharing. The highlights and outcomes from this OA epigenetics workshop are described in this report. © 2025 The Authors

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Multi-element siac filter for shock capturing applied to high-order discontinuous galerkin spectral element methods

arXiv

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arXiv 2019年

作者： Bohm, Marvin Schermeng, Sven Winters, Andrew R. Gassner, Gregor J. Jacobs, Gustaaf B. Mathematical Institute University of Cologne Weyertal 86-90 Cologne50931 Germany Department of Mathematics Computational Mathematics Linköping University LinköpingSE-581 83 Sweden Department for Mathematics and Computer Science Center for Data and Simulation Science University of Cologne Weyertal 86-90 Cologne50931 Germany Department of Aerospace Engineering San Diego State University 5500 Campanile Drive San DiegoCA92182 United States

We build a multi-element variant of the smoothness increasing accuracy conserving (SIAC) shock capturing technique proposed for single element spectral methods by Wissink et al. [37]. In particular, the baseline scheme of our method is the nodal discontinuous Galerkin spectral element method (DGSEM) for approximating the solution of systems of conservation laws. It is well known that high-order methods generate spurious oscillations near discontinuities which can develop in the solution for nonlinear problems, even when the initial data is smooth. We propose a novel multi-element SIAC filtering technique applied to the DGSEM as a shock capturing method. We design the SIAC filtering such that the numerical scheme remains high-order accurate and that the shock capturing is applied adaptively throughout the domain. The shock capturing method is derived for general systems of conservation laws. We apply the novel SIAC filter to the two-dimensional Euler and ideal magnetohydrodynamics (MHD) equations to several standard test problems with a variety of boundary conditions. Copyright © 2019, The Authors. All rights reserved.

关键词： Galerkin methods

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Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Dec, 10.1038/s41467-019-13824-9, 2022)

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NATURE COMMUNICATIONS 2022年第1期13卷 1-1页

作者： Sieverling, Lina Hong, Chen Koser, Sandra D. Ginsbach, Philip Kleinheinz, Kortine Hutter, Barbara Braun, Delia M. Cortes-Ciriano, Isidro Xi, Ruibin Kabbe, Rolf Park, Peter J. Eils, Roland Schlesner, Matthias Brors, Benedikt Rippe, Karsten Jones, David T. W. Feuerbach, Lars Division of Applied Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Faculty of Biosciences Heidelberg University 69120 Heidelberg Germany Division of Applied Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Biosciences Heidelberg University Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Department for Bioinformatics and Functional Genomics Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant 69120 Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Institute of Pharmacy and Molecular Biotechnology and BioQuant Heidelberg University Heidelberg Germany German Cancer Consortium (DKTK) Heidelberg Germany National Center for Tumor Diseases (NCT) Heidelberg Heidelberg Germany Heidelberg Center for Personalized Oncology (DKFZ-HIPO) German Cancer Research Center (DKFZ) Heidelberg Germany German Cancer Consortium (DKTK) German Cancer Research Center (DKFZ) Heidelberg Germany Division of Chromatin Networks German Cancer Research Center (DKFZ) and BioQuant 69120 Heidelberg Germany Department of Biomedical Informatics Harvard Medical School Boston Massachusetts 02115 USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge CB2 1EW UK Ludwig Center at Harvard Medical School Boston Massachusetts 02115 USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge UK Ludwig Center at Harvard Medical School Boston MA USA School of Mathematical Sciences and Center for Statistical Science Peking University Beijing 100871 China Heidelberg University Heidelberg Germany New BIH Digital Health Center Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin Berlin Germany Bioi

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Machine learning for early prediction of circulatory failure in the intensive care unit

arXiv

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arXiv 2019年

作者： Hyland, Stephanie L. Faltys, Martin Hüser, Matthias Lyu, Xinrui Gumbsch, Thomas Esteban, Cristóbal Bock, Christian Horn, Max Moor, Michael Rieck, Bastian Zimmermann, Marc Bodenham, Dean Borgwardt, Karsten Rätsch, Gunnar Merz, Tobias M. Department of Computer Science ETH Zürich Zürich Switzerland Computational Biology Program Memorial Sloan Kettering Cancer Center New York United States Tri-Institutional PhD Program in Computational Biology and Medicine Weill Cornell Medicine New York United States Medical Informatics Group Zürich University Hospital Zürich Switzerland Department of Intensive Care Medicine University Hospital University of Bern Bern Switzerland Department of Biosystems and Engineering ETH Zürich Basel Switzerland Department of Biology ETH Zürich Zürich Switzerland Swiss Institute for Bioinformatics Lausanne Switzerland Cardiovascular Intensive Care Unit Auckland City Hospital Auckland New Zealand

intensive care clinicians are presented with large quantities of patient information and measurements from a multitude of monitoring systems. The limited ability of humans to process such complex information hinders physicians to readily recognize and act on early signs of patient deterioration. We used machine learning to develop an early warning system for circulatory failure based on a high-resolution ICU database with 240 patient-years of data. This automatic system predicts 90.0% of circulatory failure events (prevalence 3.1%), with 81.8% identified more than two hours in advance, resulting in an area under the receiver operating characteristic curve of 94.0% and area under the precision recall curve of 63.0%. The model was externally validated in a large independent patient cohort. Copyright © 2019, The Authors. All rights reserved.

关键词： intensive care units

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QTT-isogeometric solver in two dimensions

arXiv

引用

arXiv 2018年

作者： Markeeva, L. Tsybulin, I. Oseledets, I. Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia Department of Applied Math and Control Moscow Institute of Physics and Technology Moscow Russia Laboratory of Fluid Dynamics and Seismics Moscow Institute of Physics and Technology Moscow Russia Institute of Numerical Mathematics Russian Academy of Sciences Moscow Russia

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Discovery and Characterization of an Eccentric, Warm Saturn Transiting the Solar Analog TOI-4994∗

arXiv

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arXiv 2024年

作者： Martínez, Romy Rodríguez Eastman, Jason D. Collins, Karen A. Rodriguez, Joseph E. Charbonneau, David Quinn, Samuel N. Latham, David W. Ziegler, Carl Brahm, Rafael Fairnington, Tyler R. Ulmer-Moll, Solène Stassun, Keivan G. Suarez, Olga Guillot, Tristan Hobson, Melissa J. Winn, Joshua N. Kanodia, Shubham Schlecker, Martin Butler, R.P. Crane, Jeffrey D. Shectman, Steve Teske, Johanna K. Osip, David Beletsky, Yuri Battley, Matthew P. Psaridi, Angelica Figueira, Pedro Lendl, Monika Bouchy, François Udry, Stéphane Kunimoto, Michelle Mékarnia, Djamel Abe, Lyu Trifonov, Trifon Pinto, Marcelo Tala Eberhardt, Jan Espinoza, Nestor Henning, Thomas Jordán, Andrés Rojas, Felipe I. Barkaoui, Khalid Relles, Howard M. Srdoc, Gregor Collins, Kevin I. Seager, Sara Shporer, Avi Vezie, Michael Hedges, Christina Mireles, Ismael Center for Astrophysics Harvard & Smithsonian 60 Garden St CambridgeMA02138 United States Center for Data Intensive and Time Domain Astronomy Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Department of Physics Engineering and Astronomy Stephen F. Austin State University 1936 North St NacogdochesTX75962 United States Facultad de Ingeniera y Ciencias Universidad Adolfo Ibáñez Av. Diagonal las Torres 2640 Peñalolén Santiago Chile Millennium Institute for Astrophysics Chile Centre for Astrophysics University of Southern Queensland West Street ToowoombaQLD4350 Australia Observatoire astronomique de l Université de Genève 51 Chemin Pegasi Versoix1290 Switzerland Physikalisches Institut University of Bern Gesellschaftsstrasse 6 Bern3012 Switzerland Department of Physics and Astronomy Vanderbilt University NashvilleTN37235 United States Université Côte d’Azur Observatoire de la Côte d’Azur CNRS Laboratoire Lagrange Bd de l’Observatoire CS 34229 Nicecedex 4 06304 France Department of Astrophysical Sciences Princeton University PrincetonNJ08544 United States Carnegie Science Earth and Planets Laboratory 5241 Broad Branch Road NW WashingtonDC20015 United States Department of Astronomy Steward Observatory University of Arizona TucsonAZ85721 United States Department of Physics Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Max-Planck-Institut für Astronomie Königstuhl 17 HeidelbergD-69117 Germany Department of Astronomy Sofia University "St Kliment Ohridski" 5 James Bourchier Blvd SofiaBG-1164 Bulgaria Landessternwarte Zentrum für Astronomie der Universität Heidelberg Königstuhl 12 HeidelbergD-69117 Germany Space Telescope Science Institute BaltimoreMD21218 United States Instituto de Astrofísica Facultad de Física Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Sant

We present the detection and characterization of TOI-4994b (TIC 277128619b), a warm Saturn-sized planet discovered by the NASA Transiting Exoplanet Survey Satellite (TESS). TOI-4994b transits a G-type star (V = 12.6 mag) with a mass, radius, and effective temperature of M☆ = 1.005+0.064−0.061M☉, R☆ = 1.055+0.040−0.037R☉, and Teff = 5640±110 K. We obtained follow-up ground-based photometry from the Las Cumbres Observatory (LCO) and the Antarctic Search for Transiting ExoPlanets (ASTEP) telescopes, and we confirmed the planetary nature of TOI-4994b with multiple radial velocity observations from the PFS, CHIRON, HARPS, FEROS, and CORALIE instruments. From a global fit to the photometry and radial velocities, we determine that TOI-4994b is in a 21.5-day, eccentric orbit (e = 0.32 ± 0.04) and has a mass of MP = 0.280+0.037−0.034MJ, a radius of RP = 0.762+0.030−0.027RJ, and a Saturn-like bulk density of ρp = 0.78+0.16−0.14 g/cm3. We find that TOI-4994 is a potentially viable candidate for follow-up stellar obliquity measurements. TOI-4994b joins the small sample of warm Saturn analogs and thus sheds light on our understanding of these rare and unique worlds. © 2024, CC BY.

关键词： NASA

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Cooperator-driven and defector-driven punishments: How do they influence cooperation?

arXiv

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arXiv 2019年

作者： Cui, Pengbi Wu, Zhi-Xi Zhou, Tao Chen, Xiaojie School of Astronautics Northwestern Polytechnical University Xi’an710072 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China Institute of Computational Physics and Complex Systems Lanzhou University Lanzhou Gansu730000 China Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education Lanzhou University Lanzhou Gansu730000 China Big Data Research Center University of Electronic Science and Technology of China Chengdu611731 China Institute of Fundamental and Frontier Science University of Electronic Science and Technology of China Chengdu610073 China School of Mathematical Sciences University of Electronic Science and Technology of China Chengdu611731 China

Economic studies have shown that there are two types of regulation schemes which can be considered as a vital part of today’s global economy: self-regulation enforced by self-regulation organizations to govern industry practices, and government regulation which is considered as another scheme to sustain corporate adherence. An outstanding problem of particular interest is to understand quantitatively the role of these regulation schemes in evolutionary dynamics. Typically, punishment usually occurs for enforcement of regulations. Taking into account both types of punishments to curve the regulations, we develop a game model where six evolutionary situations with corresponding combinations of strategies are considered. Furthermore, a semi-analytical method is developed to allow us to give an accurate estimations of the boundaries between the phases of full defection and nondefection. We find that, associated with the evolutionary dynamics, for infinite well-mixed population, the mix of both punishments performs better than one punishment alone in promoting public cooperation, but for networked population the cooperator-driven punishment turns out to be a better choice. We also uncover monotonous facilitating effects of synergy effect, punishment fine and feedback sensitivity on the public cooperation for infinite well-mixed population. Conversely, for networked population an optimal intermediate range of feedback sensitivity is needed to best promote punishers’ populations. Overall, networked structure is overall more favorable for punishers and further for public cooperation, because of both network reciprocity and mutualism between punishers and cooperators who do not punish defectors. We provide physical understandings of the observed phenomena, through a detailed statistical analysis of frequencies of different strategies and spatial pattern formations in different evolution situations. These results provide valuable insights into how to select and enforce suitab

关键词： Deregulation

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TESS photometry of the nova eruption in V606 Vul: asymmetric photosphere and multiple ejections?

arXiv

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arXiv 2023年

作者： Sokolovsky, Kirill V. Aydi, Elias Malanchev, Konstantin Burke, Colin J. Mukai, Koji Sokoloski, J.L. Metzger, Brian D. Atapin, Kirill E. Belinski, Aleksandre A. Chen, Yu-Ching Chomiuk, Laura Dubovský, Pavol A. Faucher-Giguère, Claude-André Hounsell, Rebekah A. Ikonnikova, Natalia P. Lander, Vsevolod Yu Li, Junyao Linford, Justin D. Mioduszewski, Amy J. Molina, Isabella Munari, Ulisse Potanin, Sergey A. Quimby, Robert M. Rupen, Michael P. Scaringi, Simone Shatsky, Nicolai I. Shen, Yue Steinberg, Elad Stone, Zachary Tatarnikov, Andrey M. Vurm, Indrek Williams, And Montana N. Azcona, Antonio Agudo Boyd, David Bean, Stewart Braunwarth, Horst Blackwell, John Bolzoni, Simone Casas, Ricard Fernandez, David Cejudo Dubois, Franky Foster, James Farfán, Rafael Galdies, Charles Hodge, John Gallego, Jose Prieto Lane, David J. Larsson, Magnus Lindner, Peter Logie, Ludwig Mantero, Andrea Aimar, Mario Morales Menzies, Kenneth Nakonechny, Keith Philpot, Jerry Filho, Antonio Padilla Ramey, Brian Rau, Steve Reina, Esteban Romanov, Filipp D. Ruocco, Nello Shears, Jeremy Serreau, Marc Schmidt, Richard Solomonov, Yuri Tracy, Bob Tulloch, Gord Tomlin, Ray Tordai, Tamás Vanaverbeke, Siegfried Wenzel, Klaus Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States Center for Data Intensive and Time Domain Astronomy Department of Physics and Astronomy Michigan State University 567 Wilson Rd East LansingMI48824 United States McWilliams Center for Cosmology Department of Physics Carnegie Mellon University PittsburghPA15213 United States Department of Astronomy Yale University 266 Whitney Avenue New HavenCT06511 United States CRESST and X-ray Astrophysics Laboratory NASA/GSFC GreenbeltMD20771 United States Columbia Astrophysics Laboratory Columbia University New YorkNY10027 United States Department of Physics Columbia Astrophysics Laboratory Columbia University New YorkNY10027 United States Center for Computational Astrophysics Flatiron Institute 162 5th Ave New YorkNY10010 United States Sternberg Astronomical Institute Moscow State University Universitetskii pr. 13 Moscow119992 Russia Department of Physics and Astronomy Johns Hopkins University BaltimoreMD21218 United States Vihorlat Astronomical Observatory Mierová 4 Humenné066 01 Slovakia CIERA Department of Physics and Astronomy Northwestern University 1800 Sherman Ave EvanstonIL60201 United States University of Maryland Baltimore County BaltimoreMD21250 United States NASA Goddard Space Flight Center GreenbeltMD20771 United States National Radio Astronomy Observatory Domenici Science Operations Center 1003 Lopezville Road SocorroNM87801 United States INAF Astronomical Observatory of Padova VI Asiago36012 Italy Department of Astronomy and Mount Laguna Observatory San Diego State University San DiegoCA92182 United States The University of Tokyo Institutes for Advanced Study The University of Tokyo Chiba Kashiwa277-8583 Japan National Research Council Herzberg Astronomy and Astrophysics 717 White Lake Rd PO Box 248 PentictonBCV2A 6J9 Canada Centre for Extragalactic Astronomy Department of Physics Durham Un

Lightcurves of many classical novae deviate from the canonical "fast rise - smooth decline" pattern and display complex variability behavior. We present the first TESS-space-photometry-based investigation of this phenomenon. We use Sector 41 full-frame images to extract a lightcurve of the slow Galactic nova V606Vul that erupted nine days prior to the start of the TESS observations. The lightcurve covers the first of two major peaks of V606Vul that was reached 19 days after the start of the eruption. The nova reached its brightest visual magnitude V = 9.9 in its second peak 64 days after the eruption onset, following the completion of Sector 41 observations. To increase the confidence level of the extracted lightcurve, we performed the analysis using four different codes implementing the aperture photometry (Lightkurve, VaST) and image subtraction (TESSreduce, tequila_shots) and find good agreement between them. We performed ground-based photometric and spectroscopic monitoring to complement the TESS data. The TESS lightcurve reveals two features: periodic variations (0.12771d, 0.01mag average peak-to-peak amplitude) that disappeared when the source was within 1mag of peak optical brightness and a series of isolated mini-flares (with peak-to-peak amplitudes of up to 0.5mag) appearing at seemingly random times. We interpret the periodic variations as the result of azimuthal asymmetry of the photosphere engulfing the nova-hosting binary that was distorted by and rotating with the binary. Whereas we use spectra to associate the two major peaks in the nova lightcurve with distinct episodes of mass ejection, the origin of mini-flares remains elusive. Copyright © 2023, The Authors. All rights reserved.

关键词： Photometry

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