Investigation of position linearity in position-sensitive microstrip amorphous selenium-based detector
Bibliographic record
Abstract
A high spatial resolution and cost-effective amorphous selenium multi-layer detector architecture was previously proposed for high-energy applications including single-photon emission computed tomography (SPECT). To overcome the complexity of reading out signal from the multi-layer detector, we propose a resistive microstrip detector readout using charge division. The charge induced on the readout electrode undergoes charge division along the electrode and is proportional to the physical location of absorbed photons, enabling position sensitivity. A 1 mm collimated blue LED is employed to illuminate the electrode, which has a resistance of 242 kΩ. To improve the linearity of the position sensing, the microstrips were deposited underneath a-Se in order to move bonding pads far away from the active area. A low deposition temperature evaporated Cs-doped and As-stabilized a-Se layer is used as a hole blocking layer to ensure that the resistivity of microstrips is not affected and to prevent crystallization of the temperature sensitive a-Se layer. The detector structure was fabricated on a flexible substrate that can potentially be incorporated, in the future, into a curved detector structure for large area SPECT systems. The results presented demonstrate that the detected position is linearly proportional to the location of absorbed photons with a spatial resolution of 1 mm.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".