First results from high-contrast imaging with JWST in the landscape of ESO instrumentation
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".