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2021· article· en· W3174733247 on OpenAlexfundno aff
Margot M. Brouwer, Kyle A. Oman, E. A. Valentijn, Maciej Bilicki, Catherine Heymans, Henk Hoekstra, N. R. Napolitano, N. Roy, C. Tortora, Angus H. Wright, Marika Asgari, Jan Luca van den Busch, Andrej Dvornik, T. Erben, Benjamin Giblin, Alister W. Graham, H. Hildebrandt, Andrew Hopkins, Arun Kannawadi, Konrad Kuijken, J. Liske, Huanyuan Shan, Tilman Tröster, Erik Verlinde, Manus R. Visser

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersEuropean Research CouncilNederlandse Onderzoekschool Voor AstronomieCanton de GenèveGovernment of OntarioRoyal SocietyMax-Planck-GesellschaftScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of TorontoUniversità degli Studi di PadovaNederlandse Organisatie voor Wetenschappelijk OnderzoekNarodowe Centrum NaukiBundesministerium für Bildung und ForschungDeutsche ForschungsgemeinschaftEuropean CommissionCanada Foundation for InnovationNational Science FoundationCompute CanadaCentro de Investigaciones Energéticas, Medioambientales y TecnológicasImperial College LondonNational Natural Science Foundation of ChinaNational Centres of Competence in Research SwissMAPAustralian Research CouncilWestern Canada Research GridInstitut de Física d'Altes EnergiesAlexander von Humboldt-Stiftung
KeywordsPhysicsAstrophysicsModified Newtonian dynamicsDark matterGalaxy rotation curveGalaxyCold dark matterDark matter haloWeak gravitational lensingGravitationGalaxy formation and evolutionAstronomyHaloRedshift

Abstract

fetched live from OpenAlex

We present measurements of the radial gravitational acceleration around isolated galaxies, comparing the expected gravitational acceleration given the baryonic matter (gbar) with the observed gravitational acceleration (gobs), using weak lensing measurements from the fourth data release of the Kilo-Degree Survey (KiDS-1000). These measurements extend the radial acceleration relation (RAR), traditionally measured using galaxy rotation curves, by 2 decades in gobs into the low-acceleration regime beyond the outskirts of the observable galaxy. We compare our RAR measurements to the predictions of two modified gravity (MG) theories: modified Newtonian dynamics and Verlinde’s emergent gravity (EG). We find that the measured relation between gobs and gbar agrees well with the MG predictions. In addition, we find a difference of at least 6σ between the RARs of early- and late-type galaxies (split by Sérsic index and u − r colour) with the same stellar mass. Current MG theories involve a gravity modification that is independent of other galaxy properties, which would be unable to explain this behaviour, although the EG theory is still limited to spherically symmetric static mass models. The difference might be explained if only the early-type galaxies have significant (Mgas ≈ M⋆) circumgalactic gaseous haloes. The observed behaviour is also expected in Λ-cold dark matter (ΛCDM) models where the galaxy-to-halo mass relation depends on the galaxy formation history. We find that MICE, a ΛCDM simulation with hybrid halo occupation distribution modelling and abundance matching, reproduces the observed RAR but significantly differs from BAHAMAS, a hydrodynamical cosmological galaxy formation simulation. Our results are sensitive to the amount of circumgalactic gas; current observational constraints indicate that the resulting corrections are likely moderate. Measurements of the lensing RAR with future cosmological surveys (such as Euclid) will be able to further distinguish between MG and ΛCDM models if systematic uncertainties in the baryonic mass distribution around galaxies are reduced.

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)0.003
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.416
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0060.005
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.5840.292

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations69
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueSpringer Link (Chiba Institute of Technology)→Same topicGalaxies: Formation, Evolution, Phenomena→French-language works237,207→