Comparison of single crystal diamond TOF detectors in planar and transverse configuration
Bibliographic record
Abstract
Single crystal diamond detectors are widely employed in laser-induced plasma experiments to retrieve information about particles generated from the interaction. In particular, diamonds are used as Time of Flight (TOF) detectors featured by good sensitivity, high radiation hardness and fast response time. In this work, we provide a detailed characterization of two different types of electrodes configuration retrieving their charge collection efficiency, temporal response, and effective active area. The so obtained information are then used to compute calibrated proton spectra from the signals collected by the two investigated detectors employed in TOF schemes during an experimental campaign performed with the femtosecond FLAME laser (reaching >100 TW power and ∼1019 W/cm2 intensity) interacting with thin foil targets. Despite the different detection characteristics of the two diamond detectors, consistent information about the detected protons were obtained.
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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".