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Record W3187096428 · doi:10.1093/mnras/stab2262

WALLABY pre-pilot survey: two dark clouds in the vicinity of NGC 1395

2021· article· en· W3187096428 on OpenAlexafffund
O. Ivy Wong, Adam R. H. Stevens, T. Westmeier, M. E. Dixon, Se–Heon Oh, G. I. G. Józsa, T. Reynolds, K. Lee-Waddell, Javier Román, L. Verdes‐Montenegro, H. M. Courtois, D. M. Pomarede, C. Murugeshan, M. T. Whiting, Kenji Bekki, Frank Bigiel, A. Bosma, Barbara Catinella, Helga Dénes, Ahmed Elagali, Benne W. Holwerda, P. Kamphuis, V. A. Kilborn, D. Kleiner, B. Koribalski, Federico Lelli, Juan P. Madrid, Kristen B. W. McQuinn, A. Popping, J. Rhee, Sambit Roychowdhury, T. C. Scott, Chandreyee Sengupta, Kristine Spekkens, L. Staveley‐Smith, Bart P. Wakker

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsRoyal Military College of Canada
FundersSLAC National Accelerator LaboratoryH2020 European Research CouncilArgonne National LaboratoryNuclear Fuel Cycle and Supply ChainCentro de Investigaciones Energéticas, Medioambientales y TecnológicasFundação para a Ciência e a TecnologiaUniversity of Illinois at Urbana-ChampaignMinisterio de Economía y CompetitividadFederación Española de Enfermedades RarasDeutsche ForschungsgemeinschaftMinisterio de Ciencia e InnovaciónUniversity of EdinburghLawrence Berkeley National LaboratoryUniversity of PennsylvaniaFinanciadora de Estudos e ProjetosFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroNational Research Foundation of KoreaUniversity of SussexEidgenössische Technische Hochschule ZürichUniversity College LondonHigher Education Funding Council for EnglandUniversity of PortsmouthUniversity of ChicagoTexas A and M UniversityNeurosciences Research FoundationAssociation of Canadian Universities for Research in AstronomyOhio State UniversityUniversity of NottinghamStanford UniversityU.S. Department of EnergyNational Science Foundation
KeywordsPhysicsAstrophysicsSurface brightnessDark matterAstronomyDark galaxyGalaxyGalaxy formation and evolutionGalaxy group

Abstract

fetched live from OpenAlex

ABSTRACT We present the Australian Square Kilometre Array Pathfinder (ASKAP) WALLABY pre-pilot observations of two ‘dark’ H i sources (with H i masses of a few times 108 $\rm {M}_\odot$ and no known stellar counterpart) that reside within 363 kpc of NGC 1395, the most massive early-type galaxy in the Eridanus group of galaxies. We investigate whether these ‘dark’ H i sources have resulted from past tidal interactions or whether they are an extreme class of low surface brightness galaxies. Our results suggest that both scenarios are possible, and not mutually exclusive. The two ‘dark’ H i sources are compact, reside in relative isolation, and are more than 159 kpc away from their nearest H i-rich galaxy neighbour. Regardless of origin, the H i sizes and masses of both ‘dark’ H i sources are consistent with the H i size–mass relationship that is found in nearby low-mass galaxies, supporting the possibility that these H i sources are an extreme class of low surface brightness galaxies. We identified three analogues of candidate primordial ‘dark’ H i galaxies within the TNG100 cosmological, hydrodynamic simulation. All three model analogues are dark matter dominated, have assembled most of their mass 12–13 Gyr ago, and have not experienced much evolution until cluster infall 1–2 Gyr ago. Our WALLABY pre-pilot science results suggest that the upcoming large-area H i surveys will have a significant impact on our understanding of low surface brightness galaxies and the physical processes that shape them.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.224
Teacher spread0.213 · 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

Citations15
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueMonthly Notices of the Royal Astronomical Society→Same topicGalaxies: Formation, Evolution, Phenomena→French-language works237,207→