X-ray sources in the SSA22 Chandra field (Radzom+, 2022)
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
Our full sample consists of 297 X-ray sources in a deep 400ks Chandra/ACIS-I observation of the SSA22 field (P.I. D. Alexander; Lehmer+ 2009, J/MNRAS/400/299). The field, which was previously observed with Chandra/ACIS-S (P.I. G. Garmire; Cowie+ 2003ApJ...584L..57C), was centered on the z=3.09 galactic protocluster described by Steidel+ (1998ApJ...492..428S). The X-ray campaign consisted of four separate observations, ranging from about 70 to 120ks, taken between 2007 October 1 and December 30. The survey was conducted over ~330arcmin^2^. We performed our own counterpart matching using a new optical catalog constructed from rereduced imaging from Subaru/Hyper Suprime-Cam (HSC) in the g, r, i, z, y, NB816, NB921, and NB926 bands (A. Taylor et al. 2022, in preparation). We supplement these data with archival U band data from the Canada-France-Hawaii Telescope/MegaCam MegaPipe reductions (observation ID: G012.334.588+00.283), K-band data cutouts from UKIDSS-DR11PLUS, and Spitzer/IRAC 3.6, 4.5, 5.8, and 8.0um archival Super Mosaics. See Section 2.2. We obtained spectroscopic redshifts from our own spectra for 147 sources. These spectra include 126 from the Deep Imaging Multi-Object Spectrograph (DEIMOS) on Keck II, and 50 from the Low-Resolution Imaging Spectrometer (LRIS) on Keck I. See Section 2.3.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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