Development of a Reduced Graphene Oxide-Based X-Ray Detector for Space Applications
Bibliographic record
Abstract
In this work, a light weight, reduced Graphene Oxide Field Effect Transistor based radiation detector is developed which detects X-rays at room temperature.Graphene Oxide is synthesized from Graphite flakes using modified Hummer's method which is then reduced by Hydroiodic acid fumes followed by low temperature treatment.Material characterization using X-ray diffraction technique and Raman spectra confirmed the reduction of Graphene oxide to reduced graphene oxide.Synthesized reduced graphene oxide is then put in back gate Field Effect Transistor architecture.The electrodes of the Field Effect transistor are made using thin film deposition technique.The detector is housed inside a simple packaging setup.The device showed promising response with Xrays of energy 20-40 KeV at room temperature at various incoming flus of X-ray photons.Response curve of device showed linear response with increasing X-ray energy and current.The device demonstrated a rise time of 0.25 s and fall time of 0.15s
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".