Up down gamma discrimination using the imaging ratio method with CZT Gamma-ray detectors for In situ and remote sensing operations
Bibliographic record
Abstract
The neutron/gamma-ray group at NASA GSFC is currently developing the Imaging Gamma-ray Spectrometer (IGS), a next generation compact high-resolution high sensitivity gamma-ray imaging spectrometer. The innovative technology for IGS is the pixelated room-temperature semiconductor Cadmium Zinc Telluride (CZT) detector. This technology gives IGS the advantages of low mass and low power imaging over a large field of view and high spectroscopic resolution (1% FWHM at 662 keV). The imaging capabilities of pixelated CZT detectors can be used to determine the incoming directions of gamma rays. Therefore, it is possible to improve the sensitivity of the IGS to a planet below it by discriminating the gamma rays originating from above the IGS such as from the activation of the spacecraft. In this paper, the imaging ratio method is used to demonstrate that the gamma rays coming from a point source placed above the detectors can be eliminated from the energy spectrum thus improving the sensitivity of the detector to the gamma rays originating from below.
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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 | 0.000 | 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 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".