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Record W2038945445 · doi:10.1088/2041-8205/775/1/l8

DISCOVERY OF A NEW MEMBER OF THE INNER OORT CLOUD FROM THE NEXT GENERATION VIRGO CLUSTER SURVEY

2013· article· en· W2038945445 on OpenAlexaff
Ying-Tung Chen, J. J. Kavelaars, Stephen Gwyn, Laura Ferrarese, Patrick Côté, Andrés Jordán, V. Suc, Jean‐Charles Cuillandre, W.-H. Ip

Bibliographic record

VenueThe Astrophysical Journal Letters · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsHerzberg Institute of Astrophysics
Fundersnot available
KeywordsEclipticTrans-Neptunian objectPhysicsSkySolar SystemCentaurVirgo ClusterAstrophysicsAstronomyLimiting magnitudeOrbit (dynamics)Cluster (spacecraft)GalaxyGalaxy clusterSolar wind

Abstract

fetched live from OpenAlex

We report the discovery of 2010 GB 174 , a likely new member of the Inner Oort Cloud (IOC). 2010 GB 174 is 1 of 91 trans-Neptunian objects and Centaurs discovered in a 76 deg 2 contiguous region imaged as part of the Next Generation Virgo Cluster Survey (NGVS)—a moderate ecliptic latitude survey reaching a mean limiting magnitude of g ' ≃ 25.5—using MegaPrime on the 3.6 m Canada–France–Hawaii Telescope. 2010 GB 174 is found to have an orbit with a semi-major axis of a ≃ 350.8 AU, an inclination of i ≃ 21 6, and a pericenter of q ∼ 48.5 AU. This is the second largest perihelion distance among known solar system objects. Based on the sky coverage and depth of the NGVS, we estimate the number of IOC members with sizes larger than 300 km ( H V ⩽ 6.2 mag) to be ≃ 11, 000. A comparison of the detection rate from the NGVS and the PDSSS (a characterized survey that "rediscovered" the IOC object Sedna) gives, for an assumed a power-law luminosity function for IOC objects, a slope of α ≃ 0.7 ± 0.2. With only two detections in this region this slope estimate is highly uncertain.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.214
Teacher spread0.187 · 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

Citations21
Published2013
Admission routes1
Has abstractyes

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