Bibliographic record
Abstract
In this thesis I present near-infrared detections of the thermal emission of a number of hot Jupiters and likely \ntransit depth differences from different wavelength observations of a super-Earth. I have pioneered ``Staring Mode'' \nusing the Wide-field Infrared Camera on the Canada-France-Hawaii Telescope to achieve the most accurate photometry to-date \nin the near-infrared from the ground. I also discuss avenues that should allow one to achieve even more accurate photometry \nin the future. Using WIRCam on CFHT my collaborators and I have detected the thermal emission of the following hot Jupiters: \nTrES-2b and TrES-3b in Ks-band, WASP-12b in the J, H \\& Ks-bands, and WASP-3b in the Ks-band on two occasions. \nNear-infrared detections of the thermal emission of hot Jupiters are important, because the majority of these \nplanets' blackbodies peak in this wavelength range; near-infrared detections allow us to obtain the most \nmodel-independent constraints on these planets' atmospheric characteristics, their temperature-pressure profiles \nwith depth and an estimate of their bolometric luminosities. With these detections we are able to answer such questions \nas: how efficiently these planets redistribute heat to their nightsides, if they're being inflated by tidal heating, whether \nthere's any evidence that one of these planets is precessing, and whether another experiences extreme weather and violent storms? \n \nMy collaborators and I have also observed several transits of the super-Earth GJ 1214b. We find a deeper transit depth in one of our \nnear-infrared bands than the other. This is likely indicative of a spectral absorption feature. For the differences \nin the transit depth to be as large as we observed, the atmosphere of GJ 1214b must have a large scale height, \nlow mean molecular weight and thus have a hydrogen/helium dominated atmosphere. Given that other researchers have not \nfound similar transit depth differences, we also discuss the most likely atmospheric makeup for this planet that \nresults from a combination of all the observations to date. \n \nLastly, by searching for long-term linear trends in radial velocity data, I constrain the theory that most \nhot Jupiters migrated to their present positions via the Kozai mechanism with tidal heating.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".