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Strong Carbon Features and a Red Early Color in the Underluminous Type Ia SN 2022xkq

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arXiv 2023年

作者： Pearson, Jeniveve Sand, David J. Lundqvist, Peter Galbany, Lluís Andrews, Jennifer E. Bostroem, K. Azalee Dong, Yize Hoang, Emily Hosseinzadeh, Griffin Janzen, Daryl Jencson, Jacob E. Lundquist, Michael J. Mehta, Darshana Retamal, Nicolás Meza Shrestha, Manisha Valenti, Stefano Wyatt, Samuel Anderson, Joseph P. Ashall, Chris Auchettl, Katie Baron, Eddie Blondin, Stéphane Burns, Christopher R. Cai, Yongzhi Chen, Ting-Wan Chomiuk, Laura Coulter, David A. Cross, Dane Davis, Kyle W. de Jaeger, Thomas DerKacy, James M. Desai, Dhvanil D. Dimitriadis, Georgios Do, Aaron Farah, Joseph R. Foley, Ryan J. Gromadzki, Mariusz Gutiérrez, Claudia P. Haislip, Joshua González Hernández, Jonay I. Hinkle, Jason T. Hoogendam, Willem B. Howell, D. Andrew Hoeflich, Peter Hsiao, Eric Huber, Mark E. Jha, Saurabh W. Palau, Cristina Jiménez Kilpatrick, Charles D. Kouprianov, Vladimir Kumar, Sahana Kwok, Lindsey A. Larison, Conor LeBaron, Natalie Le Saux, Xavier Lu, Jing McCully, Curtis Evans, Tycho Mera Milne, Peter Modjaz, Maryam Morrell, Nidia Müller-Bravo, Tomás E. Newsome, Megan Nicholl, Matt Gonzalez, Estefania Padilla Payne, Anna V. Pellegrino, Craig Phan, Kim Pineda-García, Jonathan Piro, Anthony L. Piscarreta, Lara Polin, Abigail Reichart, Daniel E. Rojas-Bravo, César Ryder, Stuart D. Salmaso, Irene Schwab, Michaela Shahbandeh, Melissa Shappee, Benjamin J. Siebert, Matthew R. Smith, Nathan Strader, Jay Taggart, Kirsty Terreran, Giacomo Tinyanont, Samaporn Tucker, M.A. Valerin, Giorgio Young, D.R. Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721-0065 United States Oskar Klein Centre Department of Astronomy Stockholm University Albanova University Centre StockholmSE-106 91 Sweden Campus UAB Carrer de Can Magrans s/n BarcelonaE-08193 Spain Institut d’Estudis Espacials de Catalunya Gran Capità 2-4 Edifici Nexus Desp. 201 BarcelonaE-08034 Spain Gemini Observatory 670 North A‘ohoku Place HiloHI96720-2700 United States Department of Physics and Astronomy University of California Davis 1 Shields Avenue DavisCA95616-5270 United States Department of Physics & Engineering Physics University of Saskatchewan 116 Science Place SaskatoonSKS7N 5E2 Canada Department of Physics and Astronomy The Johns Hopkins University 3400 North Charles Street BaltimoreMD21218 United States W. M. Keck Observatory 65-1120 Māmalahoa Highway KamuelaHI96743-8431 United States Department of Astronomy University of Washington 3910 15th Avenue NE SeattleWA98195-0002 United States European Southern Observatory Alonso de Córdova 3107 Casilla 19 Santiago Chile Millennium Institute of Astrophysics MAS Nuncio Monsenor Sotero Sanz 100 Off. 104 Providencia Santiago Chile Department of Physics Virginia Tech 850 West Campus Drive BlacksburgVA24061 United States School of Physics The University of Melbourne ParkvilleVIC3010 Australia Department of Astronomy and Astrophysics University of California Santa CruzCA95064-1077 United States Planetary Science Institute 1700 East Fort Lowell Road Suite 106 TucsonAZ85719-2395 United States Hamburger Sternwarte Gojenbergsweg 112 Hamburg21029 Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma 440 W. Brooks NormanOK73019-2061 United States Aix-Marseille Univ CNRS CNES LAM Marseille13388 France Observatories of the Carnegie Institute for Science 813 Santa Barbara Street PasadenaCA91101-1232 United States Yunnan Observatories Chinese Academy of

We present optical, infrared, ultraviolet, and radio observations of SN 2022xkq, an underluminous fast-declining type Ia supernova (SN Ia) in NGC 1784 (D ≈ 31 Mpc), from Copyright © 2023, The Authors. All rights... 详细信息

关键词： Explosions

The occurrence of rocky habitable zone planets around Solar-like stars from Kepler data

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arXiv 2020年

作者： Bryson, Steve Kunimoto, Michelle Kopparapu, Ravi K. Coughlin, Jeffrey L. Borucki, William J. Koch, David Aguirre, Victor Silva Allen, Christopher Barentsen, Geert Batalha, Natalie M. Berger, Travis Boss, Alan Buchhave, Lars A. Burke, Christopher J. Caldwell, Douglas A. Campbell, Jennifer R. Catanzarite, Joseph Chandrasekaran, Hema Chaplin, William J. Christiansen, Jessie L. Christensen-Dalsgaard, Jørgen Ciardi, David R. Clarke, Bruce D. Cochran, William D. Dotson, Jessie L. Doyle, Laurance R. Duarte, Eduardo Seperuelo Dunham, Edward W. Dupree, Andrea K. Endl, Michael Fanson, James L. Ford, Eric B. Fujieh, Maura Gautier, Thomas N. Geary, John C. Gilliland, Ronald L. Girouard, Forrest R. Gould, Alan Haas, Michael R. Henze, Christopher E. Holman, Matthew J. Howard, Andrew W. Howell, Steve B. Huber, Daniel Hunter, Roger C. Jenkins, Jon M. Kjeldsen, Hans Kolodziejczak, Jeffery Larson, Kipp Latham, David W. Li, Jie Mathur, Savita Meibom, Søren Middour, Chris Morris, Robert L. Morton, Timothy D. Mullally, Fergal Mullally, Susan E. Pletcher, David Prsa, Andrej Quinn, Samuel N. Quintana, Elisa V. Ragozzine, Darin Ramirez, Solange V. Sanderfer, Dwight T. Sasselov, Dimitar Seader, Shawn E. Shabram, Megan Shporer, Avi Smith, Jeffrey C. Steffen, Jason H. Still, Martin Torres, Guillermo Troeltzsch, John Twicken, Joseph D. Uddin, Akm Kamal van Cleve, Jeffrey E. Voss, Janice Weiss, Lauren Welsh, William F. Wohler, Bill Zamudio, Khadeejah A. NASA Ames Research Center Moffett FieldCA94035 United States Department of Physics and Astronomy University of British Columbia 6224 Agricultural Road VancouverBCV6T 1Z1 Canada NASA Goddard Space Flight Center GreenbeltMD United States SETI Institute 189 Bernardo Ave Suite 200 Mountain ViewCA94043 United States Department of Physics and Astronomy Aarhus University Ny Munkegade 120 Aarhus CDK-8000 Denmark Orbital Sciences Corporation NASA Ames Research Center Moffett FieldCA94035 United States Bay Area Environmental Research Institute 625 2nd St. Ste 209 PetalumaCA94952 United States University of California Santa Cruz Santa CruzCA United States Institute for Astronomy University of Hawai‘i 2680 Woodlawn Drive HonoluluHI96822 United States Earth & Planets Laboratory Carnegie Institution for Science United States DTU Space National Space Institute Technical University of Denmark Elektrovej 328 Kgs. LyngbyDK-2800 Denmark Department of Physics Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA02139 United States Cross-Entropy Consulting United States Computational Engineering Division Lawrence Livermore National Laboratory L-261 LivermoreCA94550 United States School of Physics and Astronomy University of Birmingham BirminghamB15 2TT United Kingdom Caltech/IPAC-NASA Exoplanet Science Institute PasadenaCA91125 United States NASA Exoplanet Science Institute-Caltech/IPAC PasadenaCA91125 United States McDonald Observatory Center for Planetary Systems Habitability University of Texas at Austin AustinTX78712 United States Instituto Federal de Educação Ciência e Tecnologia do Rio de Janeiro Nilópolis RJ Brazil Lowell Observatory 1400 W Mars Hill Rd FlagstaffAZ86001 United States Center for Astrophysics Harvard & Smithsonian 60 Garden St. CambridgeMA02138 United States Jet Propulsion Laboratory California Institute of Technology United States Department of Astronomy & Astrophysi

We present occurrence rates for rocky planets in the habitable zones (HZ) of main-sequence dwarf stars based on the Kepler DR25 planet candidate catalog and Gaia-based stellar properties. We provide the first analysis in terms of star-dependent instellation flux, which allows us to track HZ planets. We define η⨁ as the HZ occurrence of planets with radius between 0.5 and 1.5 R⨁ orbiting stars with effective temperatures between 4800 K and 6300 K. We find that η⨁ for the conservative HZ is between 0.37+0−04821 (errors reflect 68% credible intervals) and 0.60+0−09036 planets per star, while the optimistic HZ occurrence is between 0.58+0−07333 and 0.88+1−02851 planets per star. These bounds reflect two extreme assumptions about the extrapolation of completeness beyond orbital periods where DR25 completeness data are available. The large uncertainties are due to the small number of detected small HZ planets. We find similar occurrence rates using both a Poisson likelihood Bayesian analysis and Approximate Bayesian Computation. Our results are corrected for catalog completeness and reliability. Both completeness and the planet occurrence rate are dependent on stellar effective temperature. We also present occurrence rates for various stellar populations and planet size ranges. We estimate with 95% confidence that, on average, the nearest HZ planet around G and K dwarfs is ∼6 pc away, and there are ∼ 4 HZ rocky planets around G and K dwarfs within 10 pc of the Sun. Copyright © 2020, The Authors. All rights reserved.

关键词： Extrasolar planets

The JWST Early Release science Program for Direct Observations of Exoplanetary Systems V: Do Self-Consistent Atmospheric Models Represent JWST Spectra? A Showcase With VHS 1256-1257 b.

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arXiv 2023年

作者： Petrus, Simon Whiteford, Niall Patapis, Polychronis Biller, Beth A. Skemer, Andrew Hinkley, Sasha Suárez, Genaro Palma-Bifani, Paulina Morley, Caroline V. Tremblin, Pascal Charnay, Benjamin Vos, Johanna M. Wang, Jason J. Stone, Jordan M. Bonnefoy, Mickaël Chauvin, Gaël Miles, Brittany E. Carter, Aarynn L. Lueber, Anna Helling, Christiane Sutlieff, Ben J. Janson, Markus Gonzales, Eileen C. Hoch, Kielan K.W. Absil, Olivier Balmer, William O. Boccaletti, Anthony Bonavita, Mariangela Booth, Mark Bowler, Brendan P. Briesemeister, Zackery W. Bryan, Marta L. Calissendorff, Per Cantalloube, Faustine Chen, Christine H. Choquet, Elodie Christiaens, Valentin Cugno, Gabriele Currie, Thayne Danielski, Camilla De Furio, Matthew Dupuy, Trent J. Factor, Samuel M. Faherty, Jacqueline K. Fitzgerald, Michael P. Fortney, Jonathan J. Franson, Kyle Girard, Julien H. Grady, Carol A. Henning, Thomas Hines, Dean C. Hood, Callie E. Howe, Alex R. Kalas, Paul Kammerer, Jens Kennedy, Grant M. Kenworthy, Matthew A. Kervella, Pierre Kim, Minjae Kitzmann, Daniel Kraus, Adam L. Kuzuhara, Masayuki Lagage, Pierre-Olivier Lagrange, Anne-Marie Lawson, Kellen Lazzoni, Cecilia Leisenring, Jarron M. Lew, Ben W.P. Liu, Michael C. Liu, Pengyu Llop-Sayson, Jorge Lloyd, James P. Macintosh, Bruce Mâlin, Mathilde Manjavacas, Elena Marino, Sebastián Marley, Mark S. Marois, Christian Martinez, Raquel A. Matthews, Elisabeth C. Matthews, Brenda C. Mawet, Dimitri Mazoyer, Johan McElwain, Michael W. Metchev, Stanimir Meyer, Michael R. Millar-Blanchaer, Maxwell A. Mollière, Paul Moran, Sarah E. Mukherjee, Sagnick Pantin, Eric Perrin, Marshall D. Pueyo, Laurent Quanz, Sascha P. Quirrenbach, Andreas Ray, Shrishmoy Rebollido, Isabel Redai, Jea Adams Ren, Bin B. Rickman, Emily Sallum, Steph Samland, Matthias Sargent, Benjamin Schlieder, Joshua E. Stapelfeldt, Karl R. Tamura, Motohide Tan, Xianyu Theissen, Christopher A. Uyama, Taichi Vasist, Malavika Vigan, Arthur Wagner, Kevin Ward-Duong, Kimberly Wolff, Schuyler G. Worthen, Kadin Wyatt, Mark C. Ygouf, Marie Zurlo, Al Núcleo Milenio Formacíon Planetaria - NPF Universidad de Valparaíso Av. Gran Bretaña 1111 Valparaíso Chile Chile Departamento de Física Universidad de Santiago de Chile Av. Victor Jara Santiago3659 Chile Department of Astrophysics American Museum of Natural History Central Park West at 79th Street New YorkNY10034 United States Institute of Particle Physics and Astrophysics ETH Zurich Wolfgang-Pauli-Str. 27 Zurich8093 Switzerland Scottish Universities Physics Alliance Institute for Astronomy University of Edinburgh Blackford Hill EdinburghEH9 3HJ United Kingdom Centre for Exoplanet Science University of Edinburgh EdinburghEH9 3HJ United Kingdom University of California Santa Cruz Santa CruzCA United States University of Exeter Astrophysics Group Physics Building Stocker Road ExeterEX4 4QL United Kingdom Laboratoire Lagrange Université Cote d’Azur CNRS Observatoire de la Cote d’Azur Nice06304 France LESIA Observatoire de Paris Univ PSL CNRS Sorbonne Univ Univ de Paris 5 place Jules Janssen Meudon92195 France University of Texas at Austin 2515 Speedway AustinTX78712 United States Maison de la Simulation CEA CNRS Univ. Paris-Sud UVSQ Université Paris-Saclay Gif-sur-YvetteF-91191 France School of Physics Trinity College Dublin The University of Dublin Dublin 2 Ireland Department of Physics and Astronomy Northwestern University EvanstonIL60208 United States Department of Astronomy California Institute of Technology PasadenaCA91125 United States Naval Research Laboratory Remote Sensing Division 4555 Overlook Ave SW WashingtonDC20375 United States Univ. Grenoble Alpes CNRS IPAG GrenobleF-38000 France LMU Munich Faculty of Physics University Observatory Scheinerstr. 1 MunichD-81679 Germany University of Bern Center for Space and Habitability Gesellschaftsstrasse 6 BernCH-3012 Switzerland Space Research Institute Austrian Academy of Sciences Schmiedlstrasse 6 Graz8042 Austria Centre for Exoplanet Science School

The unprecedented medium-resolution (Rλ ∼1500-3500) near- and mid-infrared (1-18µm) spectrum provided by JWST for the young (140 ±20Myr) low-mass (12-20 MJup) L-T transition (L7) companion VHS 1256 b gives access to a catalogue of molecular absorptions. In this study, we present a comprehensive analysis of this dataset utilizing a forward modelling approach, applying our Bayesian framework, ForMoSA. We explore five distinct atmospheric models to assess their performance in estimating key atmospheric parameters: Teff, log(g), [M/H], C/O, γ, fsed, and R. Our findings reveal that each parameter’s estimate is significantly influenced by factors such as the wavelength range considered and the model chosen for the fit. This is attributed to systematic errors in the models and their challenges in accurately replicating the complex atmospheric structure of VHS 1256 b, notably the complexity of its clouds and dust distribution. To propagate the impact of these systematic uncertainties on our atmospheric property estimates, we introduce innovative fitting methodologies based on independent fits performed on different spectral windows. We finally derived a Teff consistent with the spectral type of the target, considering its young age, which is confirmed by our estimate of log(g). Despite the exceptional data quality, attaining robust estimates for chemical abundances [M/H] and C/O, often employed as indicators of formation history, remains challenging. Nevertheless, the pioneering case of JWST’s data for VHS 1256 b has paved the way for future acquisitions of substellar spectra that will be systematically analyzed to directly compare the properties of these objects and correct the systematics in the models. Copyright © 2023, The Authors. All rights reserved.

关键词： Absorption spectroscopy

Horizons: Nuclear Astrophysics in the 2020s and Beyond

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arXiv 2022年

作者： Schatz, Hendrik Becerril Reyes, A.D. Best, A. Brown, E.F. Chatziioannou, K. Chipps, K.A. Deibel, C.M. Ezzeddine, R. Galloway, D.K. Hansen, C.J. Herwig, F. Ji, A.P. Lugaro, M. Meisel, Z. Norman, D. Read, J.S. Roberts, L.F. Spyrou, A. Tews, I. Timmes, F.X. Travaglio, C. Vassh, N. Abia, C. Adsley, P. Agarwal, S. Aliotta, M. Aoki, W. Arcones, A. Aryan, A. Bandyopadhyay, A. Banu, A. Bardayan, D.W. Barnes, J. Bauswein, A. Beers, T.C. Bishop, J. Boztepe, T. Côté, B. Caplan, M.E. Champagne, A.E. Clark, J.A. Couder, M. Couture, A. de Mink, S.E. Debnath, S. deBoer, R.J. den Hartogh, J. Denissenkov, P. Dexheimer, V. Dillmann, I. Escher, J.E. Famiano, M.A. Farmer, R. Fisher, R. Fröhlich, C. Frebel, A. Fryer, C. Fuller, G. Ganguly, A.K. Ghosh, S. Gibson, B.K. Gorda, T. Gourgouliatos, K.N. Graber, V. Gupta, M. Haxton, W. Heger, A. Hix, W.R. Ho, W.C.G. Holmbeck, E.M. Hood, A.A. Huth, S. Imbriani, G. Izzard, R.G. Jain, R. Jayatissa, H. Johnston, Z. Kajino, T. Kankainen, A. Kiss, G.G. Kwiatkowski, A. La Cognata, M. Laird, A.M. Lamia, L. Landry, P. Laplace, E. Launey, K.D. Leahy, D. Leckenby, G. Lennarz, A. Longfellow, B. Lovell, A.E. Lynch, W.G. Lyons, S.M. Maeda, K. Masha, E. Matei, C. Merc, J. Messer, B. Montes, F. Mukherjee, A. Mumpower, M. Neto, D. Nevins, B. Newton, W.G. Nguyen, L.Q. Nishikawa, K. Nishimura, N. Nunes, F.M. O’Connor, E. O’Shea, B.W. Ong, W.-J. Pain, S.D. Pajkos, M.A. Pignatari, M. Pizzone, R.G. Placco, V.M. Plewa, T. Pritychenko, B. Psaltis, A. Puentes, D. Qian, Y.-Z. Radice, D. Rapagnani, D. Rebeiro, B.M. Reifarth, R. Richard, A.L. Rijal, N. Roederer, I.U. Rojo, J.S. Sk, J. Saito, Y. Schwenk, A. Sergi, M.L. Sidhu, R.S. Simon, A. Sivarani, T. Skúladóttir, Á. Smith, M.S. Spiridon, A. Sprouse, T.M. Starrfield, S. Steiner, A.W. Strieder, F. Sultana, I. Surman, R. Szücs, T. Tawfik, A. Thielemann, F. Trache, L. Trappitsch, R. Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Facility for Rare Isotope Beams Michigan State University East LansingMI48824 United States United States Department of Physics University of Naples"Federico II" Napoli80126 Italy INFN - Sezione di Napoli Napoli80126 Italy Department of Computational Mathematics Science and Engineering MichiganState University East LansingMI48824 United States Department of Physics California Institute of Technology PasadenaCA91125 United States LIGO Laboratory California Institute of Technology PasadenaCA91125 United States Physics Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Physics and Astronomy University of Tennessee Knoxville KnoxvilleTN37996 United States Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States Department of Astronomy University of Florida GainesvilleFL32601 United States School of Physics and Astronomy Monash University VIC3800 Australia OzGRav-Monash School of Physics & Astronomy Monash University VIC3800 Australia Goethe University Frankfurt Institute for Applied Physics Max-von-Laue-Str. 12 Frankfurt am Main60438 Germany Technical University of Darmstadt Institute for Nuclear Physics Germany Max Planck Institute for Astronomy Heidelberg Germany Department of Physics and Astronomy University of Victoria VictoriaBCV8P 5C2 Canada Department of Astronomy & Astrophysics University of Chicago 5640 S Ellis Avenue ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Excellence Centre of the Hungarian Academy of Sciences Konkoly-Thege Miklós út 15-17 BudapestH-1121 Hungary ELTE Eötvös Loránd University Institute of Physics Pázmány Péter sétány 1/A Budapest1117 Hungary Institute of Nuclear & Particle Physics Department of Physics & Astronomy Ohio University AthensOH45701

Nuclear Astrophysics is a field at the intersection of nuclear physics and astrophysics, which seeks to understand the nuclear engines of astronomical objects and the origin of the chemical elements. This white paper summarizes progress and status of the field, the new open questions that have emerged, and the tremendous scientific opportunities that have opened up with major advances in capabilities across an ever growing number of disciplines and subfields that need to be integrated. We take a holistic view of the field discussing the unique challenges and opportunities in nuclear astrophysics in regards to science, diversity, education, and the interdisciplinarity and breadth of the field. Clearly nuclear astrophysics is a dynamic field with a bright future that is entering a new era of discovery opportunities. © 2022, CC BY-NC-SA.

关键词： Astrophysics

ACTIVE PRIVILEGED LEARNING OF HUMAN ACTIVITIES FROM WEAKLY LABELED SAMPLES

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ACTIVE PRIVILEGED LEARNING OF HUMAN ACTIVITIES FROM WEAKLY L...

IEEE International Conference on Image Processing

作者： Michalis Vrigkas Christophoros Nikou Ioannis A. Kakadiaris Dept. Computer Science and Engineering University of Ioannina Computational Biomedicine Lab Dept. Computer Science Univ. Houston

ISBN: (纸本)9781467399623

In many human activity recognition systems the size of the unlabeled training data may be significantly large due to expensive human effort required for data annotation. Moreover, the insufficient data collection process from heterogeneous sources may cause dissimilarities between training and testing data. To address these limitations, a novel probabilistic approach that combines learning using privileged information (LUPI) and active learning is proposed. A pool-based privileged active learning approach is presented for semi-supervising learning of human activities from multimodal labeled and unlabeled data. Both uncertainty and distance from the decision boundary are used as query inference strategies for selecting an unlabeled observation and querying its label. Experimental results in four publicly available datasets demonstrate that the proposed method can identify complex human activities with high accuracy.

关键词： Learning using privileged information Active learning Hidden conditional random fields Activity recognition

A Parallel Algorithm for Finding All Pairs k-Mismatch Maximal Common Substrings 16

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A Parallel Algorithm for Finding All Pairs k-Mismatch Maxima...

ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis

作者： Sriram P. Chockalingam Sharma V. Thankachan Srinivas Aluru Dept. of Computer Science and Engineering Indian Institute of Technology School of Computational Science and Engineering Georgia Institute of Technology

ISBN: (纸本)9781467388160

We present an efficient parallel algorithm for the following problem: Given an input collection D of n sequences of total length N, a length threshold φ and a mismatch threshold k, report all k-mismatch maximal common substrings of length at least φ over all pairs of strings in D. This problem is motivated by clustering and assembly applications in computational biology, where D is a collection of millions of short DNA sequences. Sequencing errors and massive size of these datasets necessitate efficient parallel approximate sequence matching algorithms. We present a novel distributed memory parallel algorithm that solves this approximate sequence matching problem in O((N/p log N + occ) log~k N) expected time and takes only O (log~(k+1) N) expected rounds of global communications, under some realistic assumptions, where p is the number of processors and occ is the output size. To our knowledge, this is the first provably sub-quadratic time algorithm for solving this problem. We demonstrate the performance and scalability of our algorithm using large high throughput sequencing data sets.

关键词： Parallel algorithms FINDINGS Global communication deuterium ABSORBED DOSE dataset computational Biology Bioinformatics algorithms Cosmic strings Maximal PROCESSOR Scalability

Host galaxy magnitude of OJ 287 from its colours at minimum light

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arXiv 2022年

作者： Valtonen, Mauri J. Dey, Lankeswar Zola, S. Ciprini, S. Kidger, M. Pursimo, T. Gopakumar, A. Matsumoto, K. Sadakane, K. Caton, D.B. Nilsson, K. Komossa, S. Bagaglia, M. Baransky, A. Boumis, P. Boyd, D. Castro-Tirado, A.J. Debski, B. Drozdz, M. Escartin Pérez, A. Fiorucci, M. Garcia, F. Gazeas, K. Ghosh, S. Godunova, V. Gomez, J.L. Gredel, R. Grupe, D. Haislip, J.B. Henning, T. Hurst, G. Janík, J. Kouprianov, V.V. Lehto, H. Liakos, A. Mathur, S. Mugrauer, M. Naves Nogues, R. Nucciarelli, G. Ogloza, W. Ojha, D.K. Pajdosz-Śmierciak, U. Pascolini, S. Poyner, G. Reichart, D.E. Rizzi, N. Roncella, F. Sahu, D.K. Sillanpää, A. Simon, A. Siwak, M. Soldán Alfaro, F.C. Sonbas, E. Tosti, G. Vasylenko, V. Webb, J.R. Zielinski, P. Finnish Centre for Astronomy with ESO University of Turku Finland Tuorla Observatory Department of Physics and Astronomy University of Turku Finland Department of Astronomy and Astrophysics Tata Institute of Fundamental Research Mumbai400005 India Astronomical Observatory Jagiellonian University ul. Orla 171 KrakowPL-30-244 Poland Mt Suhora Observatory Pedagogical University ul. Podchorazych 2 KrakowPL-30-084 Poland Space Science Data Center - Agenzia Spaziale Italiana via del Politecnico snc RomaI-00133 Italy Instituto Nazionale di Fisica Nucleare Sezione di Perugia PerugiaI-06123 Italy European Space Agency European Space Astronomy Centre Villanueva de la Cañada Madrid28691 Spain Nordic Optical Telescope Apartado 474 Santa Cruz de La PalmaE-38700 Spain Astronomical Institute Osaka Kyoiku University 4-698 Asahigaoka Kashiwara Osaka582-8582 Japan Dark Sky Observatory Department of Physics and Astronomy Appalachian State University BooneNC28608 United States Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Physics Department University of Perugia via A. Pascoli Perugia06123 Italy Astronomical Observatory of Taras Shevshenko National University of Kyiv Observatorna str. 3 Kyiv04053 Ukraine Institute for Astronomy Astrophysics Space Applications and Remote Sensing National Observatory of Athens Metaxa & Vas. Pavlou St. Penteli AthensGR-15236 Greece BAA Variable Star Section West Challow Observatory OX12 9TX United Kingdom P.O. Box 03004 GranadaE-18080 Spain Aritz Bidea No 8 4B Mungia Bizkaia 48100 Spain Asturias Valdés 33780 Spain Section of Astrophysics Astronomy and Mechanics Department of Physics National and Kapodistrian University of Athens Zografos AthensGR-15784 Greece ICAMER Observatory of NASU 27 Acad. Zabolotnoho str. Kyiv03143 Ukraine Max Planck Institute for Astronomy Koenigstuhl 17 Heidelberg D-69117 Germany Dept. of Physics Earth Science and Space System Engineering Morehe

OJ 287 is a BL Lacertae type quasar in which the active galactic nucleus (AGN) outshines the host galaxy by an order of magnitude. The only exception to this may be at minimum light when the AGN activity is so low that the host galaxy may make quite a considerable contribution to the photometric intensity of the source. Such a dip or a fade in the intensity of OJ 287 occurred in November 2017, when its brightness was about 1.75 magnitudes lower than the recent mean level. We compare the observations of this fade with similar fades in OJ 287 observed earlier in 1989, 1999, and 2010. It appears that there is a relatively strong reddening of the B−V colours of OJ 287 when its V-band brightness drops below magnitude 17. Similar changes are also seen V−R, V−I, and R−I colours during these deep fades. These data support the conclusion that the total magnitude of the host galaxy is V = 18.0 ± 0.3, corresponding to MK = −26.5 ± 0.3 in the K-band. This is in agreement with the results, obtained using the integrated surface brightness method, from recent surface photometry of the host. These results should encourage us to use the colour separation method also in other host galaxies with strongly variable AGN nuclei. In the case of OJ 287, both the host galaxy and its central black hole are among the biggest known, and its position in the black hole mass-galaxy mass diagram lies close to the mean correlation. © 2022, CC BY.

关键词： Color

Electronic Excitations in Complex Molecular Environments: Many-Body Green’s Functions Theory in VOTCA-XTP

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arXiv 2018年

作者： Wehner, Jens Brombacher, Lothar Brown, Joshua Junghans, Christoph Çaylak, Onur Khalak, Yuriy Madhikar, Pranav Tirimbò, Gianluca Baumeier, Björn Max Planck Institute for Polymer Research Ackermannweg 10 MainzD-55128 Germany Eindhoven University of Technology Department of Mathematics and Computer Science & Institute for Complex Molecular Systems P.O. Box 513 Eindhoven5600MB Netherlands Dept. of Electrical Computer and Energy Engineering University of Colorado Boulder 425 UCB BoulderCO80309 United States Renewable and Sustainable Energy Institute University of Colorado Boulder 4001 Discovery Dr BoulderCO80303 United States Computer Computational and Statistical Sciences Division Los Alamos National Laboratory Los AlamosNM87545 United States Eindhoven University of Technology Department of Mathematics and Computer Science & Institute for Complex Molecular Systems P.O. Box 513 Eindhoven5600MB Netherlands

Many-body Green’s functions theory within the GW approximation and the Bethe-Salpeter Equation (BSE) is implemented in the open-source VOTCA-XTP software, aiming at the calculation of electronically excited states in complex molecular environments. Based on Gaussian-type atomic orbitals and making use of resolution of identify techniques, the code is designed specifically for non-periodic systems. Application to the small molecule reference set successfully validates the methodology and its implementation for a variety of excitation types covering an energy range from 2-8 eV in single molecules. Further, embedding each GW -BSE calculation into an atomistically resolved surrounding, typically obtained from Molecular Dynamics, accounts for effects originating from local fields and polarization. Using aqueous DNA as a prototypical system, different levels of electrostatic coupling between the regions in this GW -BSE/MM setup are demonstrated. Particular attention is paid to charge-transfer (CT) excitations in adenine base pairs. It is found that their energy is extremely sensitive to the specific environment and to polarization effects. The calculated redshift of the CT excitation energy compared to a nucelobase dimer treated in vacuum is of the order of 1 eV, which matches expectations from experimental data. Predicted lowest CT energies are below that of a single nucleobase excitation, indicating the possibility of an inital (fast) decay of such an UV excited state into a bi-nucleobase CT exciton. The results show that VOTCA-XTP’s GW -BSE/MM is a powerful tool to study a wide range of types of electronic excitations in complex molecular environments. Copyright © 2018, The Authors. All rights reserved.

关键词： Quantum chemistry

Polygenic risk modeling for prediction of epithelial ovarian cancer risk (vol 30, pg 349, 2021)

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EUROPEAN JOURNAL OF HUMAN GENETICS 2022年第5期30卷 630-631页

作者： Dareng, Eileen O. Tyrer, Jonathan P. Barnes, Daniel R. Jones, Michelle R. Yang, Xin Aben, Katja K. H. Adank, Muriel A. Agata, Simona Andrulis, Irene L. Anton-Culver, Hoda Antonenkova, Natalia N. Aravantinos, Gerasimos Arun, Banu K. Augustinsson, Annelie Balmana, Judith Bandera, Elisa V. Barkardottir, Rosa B. Barrowdale, Daniel Beckmann, Matthias W. Beeghly-Fadiel, Alicia Benitez, Javier Bermisheva, Marina Bernardini, Marcus Q. Bjorge, Line Black, Amanda Bogdanova, Natalia V. Bonanni, Bernardo Borg, Ake Brenton, James D. Budzilowska, Agnieszka Butzow, Ralf Buys, Saundra S. Cai, Hui Caligo, Maria A. Campbell, Ian Cannioto, Rikki Cassingham, Hayley Chang-Claude, Jenny Chanock, Stephen J. Chen, Kexin Chiew, Yoke-Eng Chung, Wendy K. Claes, Kathleen B. M. Colonna, Sarah Cook, Linda S. Couch, Fergus J. Daly, Mary B. Dao, Fanny Davies, Eleanor de la Hoya, Miguel de Putter, Robin Dennis, Joe DePersia, Allison Devilee, Peter Diez, Orland Ding, Yuan Chun Doherty, Jennifer A. Domchek, Susan M. Dork, Thilo du Bois, Andreas Durst, Matthias Eccles, Diana M. Eliassen, Heather A. Engel, Christoph Evans, Gareth D. Fasching, Peter A. Flanagan, James M. Fortner, Renee T. Machackova, Eva Friedman, Eitan Ganz, Patricia A. Garber, Judy Gensini, Francesca Giles, Graham G. Glendon, Gord Godwin, Andrew K. Goodman, Marc T. Greene, Mark H. Gronwald, Jacek Hahnen, Eric Haiman, Christopher A. Hakansson, Niclas Hamann, Ute Hansen, Thomas V. O. Harris, Holly R. Hartman, Mikael Heitz, Florian Hildebrandt, Michelle A. T. Hogdall, Estrid Hogdall, Claus K. Hopper, John L. Huang, Ruea-Yea Huff, Chad Hulick, Peter J. Huntsman, David G. Imyanitov, Evgeny N. Isaacs, Claudine Jakubowska, Anna James, Paul A. Janavicius, Ramunas Jensen, Allan Johannsson, Oskar Th. John, Esther M. Jones, Michael E. Kang, Daehee Karlan, Beth Y. Karnezis, Anthony Kelemen, Linda E. Khusnutdinova, Elza Kiemeney, Lambertus A. Kim, Byoung-Gie Kjaer, Susanne K. Komenaka, Ian Kupryjanczyk, Jolanta Kurian, Allison W. Kwong, Ava Lambrechts, Diether Larson, Melissa C. Lazaro, Conxi L University of Cambridge Centre for Cancer Genetic Epidemiology Department of Public Health and Primary Care Cambridge UK University of Cambridge Centre for Cancer Genetic Epidemiology Department of Oncology Cambridge UK Center for Bioinformatics and Functional Genomics Cedars-Sinai Medical Center Los Angeles CA USA Radboud University Medical Center Radboud Institute for Health Sciences Nijmegen The Netherlands Netherlands Comprehensive Cancer Organisation Utrecht The Netherlands The Netherlands Cancer Institute—Antoni van Leeuwenhoek hospital Family Cancer Clinic Amsterdam The Netherlands Veneto Institute of Oncology IOV—IRCCS Immunology and Molecular Oncology Unit Padua Italy Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital Fred A. Litwin Center for Cancer Genetics Toronto ON Canada University of Toronto Department of Molecular Genetics Toronto ON Canada University of California Irvine Department of Epidemiology Genetic Epidemiology Research Institute Irvine CA USA N.N. Alexandrov Research Institute of Oncology and Medical Radiology Minsk Belarus ‘Agii Anargiri’ Cancer Hospital Athens Greece University of Texas MD Anderson Cancer Center Department of Breast Medical Oncology Houston TX USA Lund University Department of Cancer Epidemiology Clinical Sciences Lund Sweden Vall d’Hebron Institute of Oncology Hereditary cancer Genetics Group Barcelona Spain University Hospital of Vall d’Hebron Department of Medical Oncology Barcelona Spain Rutgers Cancer Institute of New Jersey Cancer Prevention and Control Program New Brunswick NJ USA Landspitali University Hospital Department of Pathology Reykjavik Iceland University of Iceland BMC (Biomedical Centre) Faculty of Medicine Reykjavik Iceland University Hospital Erlangen Friedrich-Alexander-University Erlangen-Nuremberg Department of Gynecology and Obstetrics Comprehensive Cancer Center ER-EMN Erlangen Germany Vanderbilt University School of Medicine Division of Epidemiology Department

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, “select and shrink for summary statistics” (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28–1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08–1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21–1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29–1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35–1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

关键词： Clinical genetics Genetic markers Risk factors Biomedicine general Human Genetics Bioinformatics Gene Expression Cytogenetics