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Record W6950454838 · doi:10.5281/zenodo.7446255

First results from high-contrast imaging with JWST in the landscape of ESO instrumentation

2022· article· en· W6950454838 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsnot available
Fundersnot available
KeywordsJames Webb Space TelescopeExoplanetPlanetBrown dwarfPlanetary systemAngular resolution (graph drawing)Debris diskSolar System

Abstract

fetched live from OpenAlex

The recently commissioned James Webb Space Telescope (JWST) opens up a new parameter space for the exploration of exoplanets and circumstellar disks. I will present observations of two substellar companions and one debris disk from the high-contrast imaging JWST ERS program that demonstrate, for the first time, sensitivity to young sub-Jupiter mass planets and access to the full luminous range of cooling gas giants and brown dwarfs. Synergies with SPHERE (and soon ERIS) exist for the spectral characterization of exoplanet atmospheres and disks, but both JWST and SPHERE also have uniquely accessible parameter space in angular separation and contrast depth. Furthermore, JWST’s unprecedented sensitivity enables the detection of forming planets whose existence has been inferred from dynamical modeling of protoplanetary disks observed with ALMA. At small angular separations, JWST’s interferometric aperture masking mode provides moderate contrast down to the diffraction limit and covers a parameter space overlapping with that of GRAVITY, but at longer wavelengths. Near-infrared K-band data from the ground can be combined with L- and M-band observations from space to study dust clouds and disequilibrium chemistry in exoplanetary and brown dwarf atmospheres. In the future, MICADO and METIS on the E-ELT will push towards smaller separations and higher contrasts in the near-infrared and enable the observation of a small number of nearby and mature Neptunes in thermal emission.

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)0.005
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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