Novel methods of resolving energy and 3D positions of interactions in monolithic scintillator plates
Bibliographic record
Abstract
We propose methods of direct calculation of 3D position of mono-energetic interaction events in monolithic scintillator plates. The scintillator plate is coupled to an array of photodetectors on one side only, using the sum of signals of a few photodetectors consisting of the subset of the array containing the event. The advantage of incorporating fewer photodetectors to resolve an event allows other subsets of photodetectors in the array to resolve different events simultaneously, thus improving the count rate. The energy filtration was performed by examining the locus of events in the plane of resolved energy versus resolved depth of interaction. Events of unwanted energy fall outside of a pre-defined energy window of interest, or the physical boundaries of the scintillator. We also developed an adaptive centroid method that takes into account the already resolved depth of interaction (DOI) to resolve X-Y position of events. Monte-Carlo simulation was used to evaluate the performance of the proposed method in a scintillator slab (10 mm × 10 mm × 100 mm LYSO), readout by a 3×3 photodetector subset. Simulation of the proposed method showed promising high resolution capability for DOI and X-Y positioning, as well as energy filtration capability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".