Characterization of Charge Collection Properties of High Time-Resolution Silicon Carbide Detectors
Bibliographic record
Abstract
The charge collection characteristics of silicon carbide detectors in the field of high time resolution detection are studied in this paper. Aiming at the limitations of traditional silicon detectors in high temperature and high radiation environment, a high time resolution detector design based on 4H-SiC material is proposed. Due to its wide band gap, high carrier mobility, and excellent radiation resistance, 4H-SiC is ideal for extreme detection environments. By optimizing the process, high charge collection efficiency (CCE) and excellent temporal resolution were achieved, with CCE reaching 90% and temporal resolution reaching 35±0.2ps at 100V reverse bias. The experimental results show that the SiC detector has a series of excellent properties compared with the silicon-based detector. In addition, the charge collection characteristics of SiC detectors with different bias and the saturation behavior of charge collection in the range of 150~350V are also discussed. Finally, the application prospects of SiC detector in nuclear radiation monitoring, medical imaging and space exploration are prospected. With the advancement of technology and the reduction of cost, SiC detectors will demonstrate their unique value in more fields.
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 | 0.001 | 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) | 0.000 | 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".