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Record W3092291886 · doi:10.1126/sciadv.abc3350

Heterogeneous mass distribution of the rubble-pile asteroid (101955) Bennu

2020· article· en· W3092291886 on OpenAlexaff
Daniel J. Scheeres, A. S. French, Steven R. Chesley, Yu Takahashi, Davide Farnocchia, Jay W. McMahon, D. N. Brack, A. B. Davis, Ronald‐Louis Ballouz, E. R. Jawin, B. Rozitis, Joshua P. Emery, A. J. Ryan, Ryan S. Park, Brian Rush, N. Mastrodemos, Brian Kennedy, Julie Bellerose, Daniel P. Lubey, D. Velez, Andrew Vaughan, Jason M. Leonard, J. Geeraert, Brian R. Page, Peter G. Antreasian, E. Mazarico, Kenneth M. Getzandanner, D. D. Rowlands, Michael C. Moreau, Jeffrey L. Small, Dolan Highsmith, Sander Goossens, E. E. Palmer, J. R. Weirich, R. W. Gaskell, O. S. Barnouin, M. G. Daly, J. A. Seabrook, M. Al Asad, L. Philpott, C. L. Johnson, Christine Hartzell, V. E. Hamilton, Patrick Michel, K. J. Walsh, M. C. Nolan, D. S. Lauretta

Bibliographic record

VenueScience Advances · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsUniversity of British ColumbiaYork University
FundersScience and Technology Facilities CouncilCentre National d’Etudes SpatialesJet Propulsion LaboratoryNational Aeronautics and Space Administration
KeywordsAsteroidRubbleMass distributionPhysicsOrbit (dynamics)GeologyAstrophysicsAstronomyAerospace engineeringGalaxyGeotechnical engineering

Abstract

fetched live from OpenAlex

The gravity field of a small body provides insight into its internal mass distribution. We used two approaches to measure the gravity field of the rubble-pile asteroid (101955) Bennu: (i) tracking and modeling the spacecraft in orbit about the asteroid and (ii) tracking and modeling pebble-sized particles naturally ejected from Bennu's surface into sustained orbits. These approaches yield statistically consistent results up to degree and order 3, with the particle-based field being statistically significant up to degree and order 9. Comparisons with a constant-density shape model show that Bennu has a heterogeneous mass distribution. These deviations can be modeled with lower densities at Bennu's equatorial bulge and center. The lower-density equator is consistent with recent migration and redistribution of material. The lower-density center is consistent with a past period of rapid rotation, either from a previous Yarkovsky-O'Keefe-Radzievskii-Paddack cycle or arising during Bennu's accretion following the disruption of its parent body.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 designSimulation or modeling
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

Citations92
Published2020
Admission routes1
Has abstractyes

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