Accreting protoplanets: Spectral signatures and magnitude of gas and dust extinction at H<i>α</i>
Bibliographic record
Abstract
Context.Accreting planetary-mass objects have been detected at Hα, but targeted searches have mainly resulted in non-detections. Accretion tracers in the planetary-mass regime could originate from the shock itself, making them particularly susceptible to extinction by the accreting material. High-resolution (R> 50 000) spectrographs operating at Hαshould soon enable one to study how the incoming material shapes the line profile. Aims.We calculate how much the gas and dust accreting onto a planet reduce the Hαflux from the shock at the planetary surface and how they affect the line shape. We also study the absorption-modified relationship between the Hαluminosity and accretion rate. Methods.We computed the high-resolution radiative transfer of the Hαline using a one-dimensional velocity–density–temperature structure for the inflowing matter in three representative accretion geometries: spherical symmetry, polar inflow, and magnetospheric accretion. For each, we explored the wide relevant ranges of the accretion rate and planet mass. We used detailed gas opacities and carefully estimated possible dust opacities. Results.At accretion rates ofṀ≲ 3 × 10−6 MJyr−1, gas extinction is negligible for spherical or polar inflow and at mostAHα≲ 0.5 mag for magnetospheric accretion. Up toṀ≈ 3 × 10−4 MJyr−1, the gas contributesAHα≲ 4 mag. This contribution decreases with mass. We estimate realistic dust opacities at Hαto beκ~ 0.01–10 cm2g−1, which is 10–104times lower than in the interstellar medium. Extinction flattens theLHα–Ṁrelationship, which becomes non-monotonic with a maximum luminosityLHα~ 10−4 L⊙towardsṀ≈ 10−4 MJyr−1for a planet mass ~10 MJ. In magnetospheric accretion, the gas can introduce features in the line profile, while the velocity gradient smears them out in other geometries. Conclusions.For a wide part of parameter space, extinction by the accreting matter should be negligible, simplifying the interpretation of observations, especially for planets in gaps. At highṀ, strong absorption reduces the Hαflux, and some measurements can be interpreted as twoṀvalues. Highly resolved line profiles (R~ 105) can provide (complex) constraints on the thermal and dynamical structure of the accretion flow.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".