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Record W4385664020 · doi:10.3847/1538-4365/acda98

The Eighteenth Data Release of the Sloan Digital Sky Surveys: Targeting and First Spectra from SDSS-V

2023· article· en· W4385664020 on OpenAlexafffund
Andrés Almeida, Scott F. Anderson, M. Argudo–Fernández, Carles Badenes, Kathleen A. Barger, J. K. Barrera-Ballesteros, Chad F. Bender, E. Benítez, Felipe Besser, Jonathan C. Bird, Dmitry Bizyaev, Michael R. Blanton, John J. Bochanski, Jo Bovy, William Nielsen Brandt, Joel R. Brownstein, Johannes Büchner, Esra Bülbül, Joseph N. Burchett, M. Cano-Díaz, Joleen K. Carlberg, Andrew R. Casey, Vedant Chandra, Brian Cherinka, C. Chiappini, Abigail A. Coker, Johan Comparat, Charlie Conroy, Gabriella Contardo, Arlin Cortes, Kevin R. Covey, Jeffrey D. Crane, Kátia Cunha, Collin Dabbieri, James W. Davidson, Megan C. Davis, A. B. A. Queiroz, Nathan De Lee, J. Eduardo Méndez-Delgado, Sebastian Demasi, F. Di Mille, John Donor, Peter B. Dow, T. Dwelly, Mike Eracleous, Jamey E. Eriksen, Xiaohui Fan, Emily Farr, Sara Frederick, Logan B. Fries, Peter M. Frinchaboy, B. T. Gänsicke, Junqiang Ge, Katie Grabowski, C. J. Grier, G. Guiglion, Pramod Gupta, Patrick B. Hall, Keith Hawkins, Christian R. Hayes, J. J. Hermes, L. Hernández-García, David W. Hogg, Jon A. Holtzman, Héctor J. Ibarra-Medel, Alexander P. Ji, P. Jofré, Jennifer A. Johnson, Amy Jones, Karen Kinemuchi, Matthias Kluge, Anton M. Koekemoer, Juna A. Kollmeier, Marina Kounkel, Dhanesh Krishnarao, M. Krumpe, Ivan Lacerna, Paulo Jakson Assuncao Lago, Chervin F. P. Laporte, Chao Liu, Ang Liu, Xin Liu, Alexandre Roman–Lopes, Matin Macktoobian, Steven R. Majewski, Viktor Malanushenko, Dan Maoz, T. Masseron, Karen L. Masters, G. Matijevič, Aidan McBride, Ilija Medan, A. Merloni, Sean Morrison, Natalie Myers, Szabolcs Mészáros, C. A. Negrete, David L. Nidever, Christian Nıtschelm, Daniel Oravetz, Audrey Oravetz, Kaike Pan, Yingjie Peng, Marc H. Pinsonneault, Richard W. Pogge, Dan Qiu, Solange Ramírez, Hans‐Walter Rix, Daniela Fernández Rosso, Jessie C. Runnoe, M. Salvato, S. F. Sánchez, Felipe A. Santana, Andrew K. Saydjari, Conor Sayres, Kevin C. Schlaufman, Donald P. Schneider, A. Schwope, Javier Serna, Yue Shen, Jennifer Sobeck, Ying-Yi Song, Diogo Souto, Taylor Spoo, Keivan G. Stassun, Matthias Steinmetz, Ilya Straumit, Guy S. Stringfellow, José Sánchez-Gallego, Manuchehr Taghizadeh-Popp, Jamie Tayar, Ani Thakar, P. B. Tissera, A. Tkachenko, Hector Hernández Toledo, Benny Trakhtenbrot, José G. Fernández-Trincado, T. Nicholas, Jonathan R. Trump, Sarah Tuttle, Natalie Ulloa, J. A. Vázquez-Mata, Pablo Vera Alfaro, S. Villanova, Stefanie Wachter, Anne-Marie Weijmans, A. A. Wheeler, John C. Wilson, Leigh Wojno, J. Wolf, Xiang-Xiang Xue, Jason E. Ybarra, Eleonora Zari, Gail Zasowski

Bibliographic record

VenueThe Astrophysical Journal Supplement Series · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsUniversity of AlbertaCanadian Institute for Theoretical AstrophysicsHerzberg Institute of AstrophysicsYork UniversityUniversity of Toronto
FundersSLAC National Accelerator LaboratoryLos Alamos National LaboratoryArgonne National LaboratoryHigh Energy PhysicsDivision of Astronomical SciencesScience and Technology Facilities CouncilUniversity of Colorado BoulderOffice of ScienceUniversity of Illinois at Urbana-ChampaignFermilabMax-Planck-Institut für AstronomieLeibniz-Institut für Astrophysik PotsdamChina National Textile and Apparel CouncilEötvös Loránd TudományegyetemMax-Planck-GesellschaftDeutsche ForschungsgemeinschaftChinese Academy of SciencesUniversity of California, Los AngelesCurtin University of TechnologyLawrence Berkeley National LaboratoryJet Propulsion LaboratoryMonash UniversityDurham UniversityIntegrated Electronics Engineering Center, Binghamton UniversityQueen's UniversityUniversity of EdinburghNational Central UniversitySpace Telescope Science InstituteUniversity of SussexUniversity of CambridgeUniversity of ChicagoNational Energy Research Scientific Computing CenterGordon and Betty Moore FoundationAustralian GovernmentUniversidad Nacional Autónoma de MéxicoNanjing UniversityAustralian National UniversityUniversity of PortsmouthUniversity of UtahNew Mexico State UniversityNational Cancer InstituteAustralian Astronomical Optics-MacquarieUniversity College LondonAstronomy Australia LimitedSmithsonian Astrophysical ObservatoryEuropean Space AgencyAlfred P. Sloan FoundationJohns Hopkins UniversityPlanetary Science DivisionCarnegie Institution of WashingtonHarvard UniversityOhio State UniversityLeibniz-GemeinschaftScience Mission DirectorateNational Computational InfrastructureNational Science FoundationUniversity of MichiganUniversity of CaliforniaYale UniversityU.S. Department of EnergySmithsonian InstitutionFinanciadora de Estudos e ProjetosÉcole Polytechnique Fédérale de LausanneUniversity of PennsylvaniaNational Aeronautics and Space AdministrationUniversity of NottinghamHeising-Simons FoundationSwinburne University of TechnologyQueen's University BelfastNational Astronomical Observatories, Chinese Academy of SciencesCalifornia Institute of TechnologyUniversity of Toronto
KeywordsSkyAngstromSoftwareMilky WayPhysicsSpectral lineComputer scienceAstrophysicsAstronomyChemistryOperating systemStars

Abstract

fetched live from OpenAlex

Abstract The eighteenth data release (DR18) of the Sloan Digital Sky Survey (SDSS) is the first one for SDSS-V, the fifth generation of the survey. SDSS-V comprises three primary scientific programs or “Mappers”: the Milky Way Mapper (MWM), the Black Hole Mapper (BHM), and the Local Volume Mapper. This data release contains extensive targeting information for the two multiobject spectroscopy programs (MWM and BHM), including input catalogs and selection functions for their numerous scientific objectives. We describe the production of the targeting databases and their calibration and scientifically focused components. DR18 also includes ∼25,000 new SDSS spectra and supplemental information for X-ray sources identified by eROSITA in its eFEDS field. We present updates to some of the SDSS software pipelines and preview changes anticipated for DR19. We also describe three value-added catalogs (VACs) based on SDSS-IV data that have been published since DR17, and one VAC based on the SDSS-V data in the eFEDS field.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.215
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations260
Published2023
Admission routes2
Has abstractyes

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