End-to-end public simulation tools for a far-infrared space-based double Fourier interferometer
Bibliographic record
Abstract
Far-infrared (far-IR) astronomical observations with sub-arcsecond angular resolution and high spectral resolution require a space-based interferometer observatory with baselines of at least tens of meters in length. The European-funded Far Infrared Space Interferometer Critical Assessment (FISICA) studied Far Infrared Interferometer (FIRI) in detail, and developed software simulation tools (FIInS and PyFIInS) for modeling a FIRI-like interferometer and simulating the hyperspectral output datacubes. Here we present on-going work expanding upon the foundations of FIInS and pyFIInS towards an end-to-end simulation software suite. The software tools presented in this work provide a framework with which to study double Fourier interferometry in the far-IR and allow the astronomical community further exploration of the unique capabilities of such instrumentation.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".