SPIRou & HARPS obs. template star parameters (Artigau+, 2024)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We focus on data sets obtained with two instruments, the SPectropolarimetre InfraROUge (SPIRou), at the 3.6m optical/infrared Canada-France-Hawaii Telescope (CFHT) in Maunakea, Hawaii and the High Accuracy Radial velocity Planet Searcher (HARPS), at ESO 3.6m optical telescope in La Silla Observatory, Chile, to showcase the performance of this activity indicator at both optical and infrared wavelengths. The M dwarf templates from SPIRou that were used are observations from the SPIRou legacy survey (Fouque+, 2023A&A...672A..52F; Moutou+ 2023, J/A+A/678/A207), while K and G stars templates are archival observations obtained in the context of exoplanet transit surveys. HARPS data was obtained from the ESO archive (http://archive.eso.org/). Each template is constructed from the median combination of all observations of each target. Effective temperature, metallicity, and surface gravity were taken from Gaia DR3 (Gaia collab. 2022, I/355). For more information on template construction and sample selection criteria, see Section 3.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 it