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Record W2085195376 · doi:10.1086/504638

Multiple Outflows and Protostars near IC 348 and the Flying Ghost Nebula

2006· article· en· W2085195376 on OpenAlexaff
Josh Walawender, John Bally, Helen Kirk, Doug Johnstone, Bo Reipurth, C. Aspin⋆

Bibliographic record

VenueThe Astronomical Journal · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsUniversity of VictoriaHerzberg Institute of Astrophysics
Fundersnot available
KeywordsPhysicsProtostarAstrophysicsNebulaSpitzer Space TelescopeOrion NebulaAstronomyEmission nebulaStar formationReflection nebulaTelescopeStars

Abstract

fetched live from OpenAlex

Using optical (Hα, [S II], and i '), near-IR (H 2 , J , H , and K S ), mid-IR ( Spitzer Space Telescope IRAC 4.5 μm), and submillimeter (850 and 450 μm) data, we have examined the region surrounding the IC 348 cluster and the neighboring "Flying Ghost Nebula" (FGN) and found a multitude of shocks from protostellar outflows including HH 211, which had previously not been detected in visible wavelength images. We have identified 13 protostars in the region that drive protostellar outflows. The region surrounding the FGN is rich in ongoing star formation, with a number of outflows similar to those found in other sites of moderate star formation in Perseus (e.g., L1448, L1455, and Barnard 1). We have also found a candidate bent jet in this region. The axis defined by the bending angle suggests that this source may have been ejected from a multiple star system near the IC 348 IR source.

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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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

Citations43
Published2006
Admission routes1
Has abstractyes

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