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arXiv 2021年

作者： Sanders, Lauren M. Yang, Jason H. Scott, Ryan T. Qutub, Amina Ann Martin, Hector Garcia Berrios, Daniel C. Hastings, Jaden J.A. Rask, Jon Mackintosh, Graham Hoarfrost, Adrienne L. Chalk, Stuart Kalantari, John Khezeli, Kia Antonsen, Erik L. Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Delgado-Aparicio, Guillermo M. Glicksberg, Benjamin S. Greene, Casey S. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Mason, Christopher E. Matar, Mona Mias, George I. Miller, Jack Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Park, Seung-Min Parsons-Wingerter, Patricia Prabhu, R.K. Reynolds, Robert J. Saravia-Butler, Amanda Saria, Suchi Sawyer, Aenor Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik Theriot, Corey A. van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Zitnik, Marinka Costes, Sylvain V. Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Center for Emerging and Re-Emerging Pathogens Department of Microbiology Biochemistry and Molecular Genetics Rutgers New Jersey Medical School NewarkNJ07103 United States KBR Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States AI MATRIX Consortium Department of Biomedical Engineering University of Texas San Antonio and UT Health Sciences San AntonioTX78249 United States Biological Systems and Engineering Division Lawrence Berkeley National Lab. BerkeleyCA94608 United States DOE Agile BioFoundry EmeryvilleCA94608 United States Joint BioEnergy Institute EmeryvilleCA94608 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Office of the Center Director NASA Ames Research Center Moffett Field CA94035 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett Field CA94035 United States Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Center for Individualized Medicine Department of Surgery Department of Quantitative Health Sciences Mayo Clinic RochesterMN55905 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin - Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Data Science Analytics Georgia Institute of Technology Lima15024

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space. © 2021, CC BY.

关键词： Predictive analytics

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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.

arXiv

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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

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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