Bibliographic record
Abstract
Silicon photomultiplier (Sipm) as a type of solid-state photosensor is widely used in radiation detection. It has the advantages of high gain, compact size, compatibility with magnetic fields, and low operating voltage (approximately <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$30-50 ~\mathrm{V}$</tex>). However, its temperature sensitivity affects the stability of the gain. For the peak position of measurements in portable spectrometers, it will drift by about <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 10 \%$</tex> with temperature range from 0° C to 50° C. The common laboratory equipment operates within a temperature range of 0° C to 40° C. Our company now requires a radiation measurement device that can operate at a temperature range of 40° C to 50° C. Therefore, we have developed a programmable Sipm power supply unit. We tested the accuracy of the SiPM power supply voltage output under the temperature range of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$-30^{\circ} \mathrm{C}$</tex> to 60° C, and the maximum deviation was less than 1 % overvoltage. We also used four common manufacturers' SiPMs to compare the peak position of the 662 kev full-energy peak of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{137} \text{Cs}$</tex>. The maximum drift was less than 4 %.
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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 | 0.001 |
| 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) | 0.003 | 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".