Filter Simulations for the SPICA MIRACLE Instrument in Combination with SAFARI
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
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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