Filter Simulations for the SPICA MIRACLE Instrument in Combination with SAFARI
Bibliographic record
Abstract
The Mid-Infra-Red Camera w/o LEns (MIRACLE) instrument is the proposed imaging camera for one of the the focal plane instruments on SPICA covering the wavelength range from 5-38 microns. Sub-micro-Jansky sensitivities are expected at wavelengths shortward of 10 microns, and sensitivities of the order of a few micro-Jy in the 10 – 40 micron range. We present an initial investigation of the possible narrow filter combinations for MIRACLE, and the advantages of using MIRACLE and SAFARI in tandem to obtain photometric redshifts of high redshift sources. We apply our photometric redshift code that utilizes only the infrared spectra of the target sources and that can successfully and accurately constrain the redshift of our samples over the redshift z ~ 1–5. We find that the addition of the SAFARI bands usually improves greatly the photo-z accuracy at redshifts z > 2, extending out to redshifts of z = 5.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".