Design of the Angle-Resolving Electron Spectrometer Aboard the PRESET Mission
Bibliographic record
Abstract
We present a design study for the Pitch REsolving Spectrometer for Electron Transport (PRESET) mission, a CubeSat that is aimed at measuring the pitch angle density spectrum in low-Earth orbit (LEO). While a few missions have measured the pitch angle density spectrum, all have provided low resolution within the loss cone. PRESET will be capable of measuring pitch angle density of electrons with a resolution of 10 degrees or better and an energy range of 0.3-7 MeV filling gaps in both energy range and angular resolution in LEO. The spectrometer is designed to fit within a 10x10x10cm3 volume (1U) including processing electronics so it can be integrated into a 3U CubeSat to be flown in a polar LEO. To achieve a 10-degree angular resolution, the detector employs a trough shaped collimator with a pin-hole type aperture followed by a single sided silicon strip detector. Aligned coaxially with the strip detector is a stack of 4 silicon detectors. To optimize the spectrometer design, extensive Monte Carlo simulations were carried out. The collimator was optimized by adjusting total length, width and height, aperture size, collimation plate spacing and material. A balance is found between increasing the instrument’s geometric factor and reducing the aperture width which directly affects the counting rate and angular resolution of the instrument, respectively. To optimize the stacking geometry of the silicon detectors, simulations were carried out by varying the number and thickness of the silicon detectors, allowing the electron energy resolution and maximum detectable electron energy to be extracted. An optimum design was deduced to accomplish an outstanding performance with a minimum of silicon detectors. Simulation results are verified using a prototype spectrometer and a commercial pulse processing system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".