JHK Standard Stars for Large Telescopes: the UKIRT Fundamental and Extended Lists
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Bibliographic record
Abstract
We present high-precision JHK photometry with the 3.8m UK Infrared Telescope (UKIRT) of 83 standard stars, 28 from the widely used preliminary list known as the "UKIRT Faint Standards" (Casali & Hawarden, 1992), referred to here as the Fundamental List, and 55 additional stars referred to as the Extended List. The stars have 9.4<K<15.0 and most should be readily observable with imaging array detectors in normal operating modes on telescopes of up to 10m aperture. Many are accessible from the southern hemisphere. Arcsec-accuracy positions (J2000, Epoch ~1998) are given, together with optical photometry and spectral types from the literature, where available, or inferred from the J-K colour. Finding charts are provided for stars with proper motions exceeding 0.3"/yr. On 30 nights between late 1994 and early 1998 the stars from the Fundamental List, which were used as standards for the whole programme, were observed on an average of 10 nights each, and those from the Extended List 6 nights. The average internal standard error of the mean results for K is 0.005 mag; for J-H it is 0.003 mag for the Fundamental List stars and 0.006 mag for the Extended List; for H-K the average is 0.004 mag. The results are on the natural system of the IRCAM3 imager, which used a 256x256 InSb detector array with "standard" JHK filters, behind gold-coated fore-optics and a gold- or silver-dielectric coated dichroic. We give colour transformations onto the CIT, Arcetri and LCO/Palomar NICMOS systems, and preliminary transformations onto the system defined by the new Mauna Kea Observatory filter set.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it