Optical decoupling in measurements of corona currents
Bibliographic record
Abstract
The paper deals with the measurements of the corona parameters in a linear eight-electrode pin-to-plane array generator. The pins were made of tungsten, arranged in one row of eight, and were biased negative. The ground plane was flat, made of aluminum, and incorporated brass current-sensing electrodes, insulated from the anode. The anode was grounded, and each of the sensing electrodes was connected to an operational amplifier based current-to-voltage converter with sensitivity of R=1V/spl middot//spl mu/A/sup -1/. The output of each of the converters was connected to a scanner and a microcontroller, which was supported by a personal computer, that provided graphical user interface, data storage, and the RS232C link needed to communicate with the microcontroller. Corona current was measured simultaneously on the eight corona pins; at the same time the value of the voltage applied to the generator and the total current supplied to the array were measured. The measurement of the total current was performed by a transmitter module, floating at a voltage of up to 30 kV, decoupled from the rest of the system by an optical fiber link. The data acquisition apparatus could be configured to operate with four, eight, or sixteen input channels, trading the number of inputs for the sampling rate and frequency response in three steps: 4 channels, 16000 samples.s/sup -1/, 8 kHz; 8 channels, 8000 samples.s/sup -1/, 4 kHz; 16 channels, 4000 samples.s/sup -1/, 2 kHz bandwidth.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".