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Record W2146411165 · doi:10.1086/658676

Water in Star-forming Regions with the<i>Herschel Space Observatory</i>(WISH). I. Overview of Key Program and First Results

2011· article· en· W2146411165 on OpenAlexafffund
E. F. van Dishoeck, L. E. Kristensen, A. O. Benz, E. A. Bergin, P. Caselli, J. Cernicharo, F. Herpin, M. R. Hogerheijde, Doug Johnstone, René Liseau, B. Nisini, R. Shipman, M. Tafalla, F. van der Tak, F. Wyrowski, Yuri Aikawa, R. Bachiller, A. Baudry, M. Benedettini, P. Bjerkeli, Geoffrey A. Blake, S. Bontemps, J. Braine, Christian Brinch, S. Bruderer, L. Chavarría, C. Codella, F. Daniel, Th. de Graauw, E. Deul, A. M. Di Giorgio, C. Dominik, S. D. Doty, Marie-Lise Dubernet, P. Encrenaz, H. Feuchtgruber, M. Fich, W. Frieswijk, A. Fuente, T. Giannini, J. R. Goicoechea, F. P. Helmich, G. J. Herczeg, T. Jacq, J. K. Jørgensen, A. Karska, Michael J. Kaufman, Eric Keto, B. Larsson, B. Leflóch, D. C. Lis, M. Marseille, C. McCoey, G. Melnick, D. Neufeld, M. Olberg, L. Pagani, Olja Panić, B. Parise, J. C. Pearson, R. Plume, C. Risacher, D. M. Salter, J. Santiago-García, P. Saraceno, P. Stäuber, T. A. van Kempen, R. Visser, S. Viti, M. Walmsley, S. F. Wampfler, U. A. Yíldíz

Bibliographic record

VenuePublications of the Astronomical Society of the Pacific · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsUniversity of CalgaryHerzberg Institute of Astrophysics
FundersScience and Technology Facilities CouncilJet Propulsion LaboratoryStockholms UniversitetChalmers Tekniska HögskolaUniversity of WaterlooEidgenössische Technische Hochschule ZürichCalifornia Institute of TechnologyNational Aeronautics and Space Administration
KeywordsProtostarPhysicsAstrophysicsStarsEnergy budgetOutflowSpace observatoryYoung stellar objectStar formationAstronomyProtoplanetary diskInfraredMeteorology

Abstract

fetched live from OpenAlex

Water In Star-forming regions with Herschel (WISH) is a key program on the Herschel Space Observatory designed to probe the physical and chemical structures of young stellar objects using water and related molecules and to follow the water abundance from collapsing clouds to planet-forming disks. About 80 sources are targeted, covering a wide range of luminosities—from low (< 1 L ⊙ ) to high (>10 5 L ⊙ )—and a wide range of evolutionary stages—from cold prestellar cores to warm protostellar envelopes and outflows to disks around young stars. Both the HIFI and PACS instruments are used to observe a variety of lines of H 2 O, H 2 18 O and chemically related species at the source position and in small maps around the protostars and selected outflow positions. In addition, high-frequency lines of CO, 13 CO, and C 18 O are obtained with Herschel and are complemented by ground-based observations of dust continuum, HDO, CO and its isotopologs, and other molecules to ensure a self-consistent data set for analysis. An overview of the scientific motivation and observational strategy of the program is given, together with the modeling approach and analysis tools that have been developed. Initial science results are presented. These include a lack of water in cold gas at abundances that are lower than most predictions, strong water emission from shocks in protostellar environments, the importance of UV radiation in heating the gas along outflow walls across the full range of luminosities, and surprisingly widespread detection of the chemically related hydrides OH + and H 2 O + in outflows and foreground gas. Quantitative estimates of the energy budget indicate that H 2 O is generally not the dominant coolant in the warm dense gas associated with protostars. Very deep limits on the cold gaseous water reservoir in the outer regions of protoplanetary disks are obtained that have profound implications for our understanding of grain growth and mixing in disks.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.235
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations268
Published2011
Admission routes2
Has abstractyes

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Same venuePublications of the Astronomical Society of the PacificSame topicAstrophysics and Star Formation StudiesFrench-language works237,207