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Record W3098338032

SIMP: A Near-Infrared Proper Motion Survey

2013· article· en· W3098338032 on OpenAlexaff
Étienne Artigau, David Lafreniére, René Doyon, Loïc Albert, Lison Malo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsUniversité de MontréalUniversity of TorontoUniversité du Québec à Montréal
Fundersnot available
KeywordsProper motionAstrometrySkyPhysicsPoint sourceInfraredAstrophysicsLimit (mathematics)Point (geometry)Magnitude (astronomy)Brown dwarfAstronomyGeodesyStarsOpticsGeologyGeometryMathematics
DOInot available

Abstract

fetched live from OpenAlex

Abstract. SIMP is a proper motion (PM) survey made with the Observatoire du Mont Mégantic (OMM) wide-field near-infrared camera CPAPIR at the CTIO 1.5 m and OMM 1.6 m telescopes. The SIMP observations were initiated in early 2005, are still ongoing and, to date, have covered 28% of the sky at high galactic latitudes. The PMs of the sources detected are determined by comparing their measured positions with those listed in the 2MASS point source catalog, giving a time baseline of 4 to 10 years. The 5 σ uncertainty on the relative SIMP and 2MASS astrometry is 1 ′ ′ , equivalent to a PM lower limit of 0.125-0.250 ′ ′ /yr, or a tangential velocity limit of 15 − 30 km/s at 25 pc. Up to the 2MASS magnitude limit (J∼16.5), T dwarfs are found out to ∼25 pc, while L dwarfs may be found as far as 100 pc away. PACS: 97.20.Vs, 95.80.+p OBSERVATIONS AND ANALYSIS The recent all-sky near-infrared (2MASS, DENIS [1, 2]) and visible (SDSS [3]) surveys have enabled the discovery of the majority of known field brown dwarfs (BDs); ∼530 L-type and ∼146 T-type BDs. Much of our knowledge of the local BD space density, and sub-stellar mass function, comes from these surveys. However, the current census

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: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.010

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 head0.241
Teacher spread0.229 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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