Augmentation of VERITAS Telescopes for Stellar Intensity Interferometry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2018-2019 the VERITAS VHE gamma-ray observatory was augmented with high-speed optical instrumentation and continuous data recording electronics to create a sensitive Stellar Intensity Interferometry (SII) observatory, VERITAS-SII. The primary science goal of VERITAS-SII is to perform stellar diameter measurements and image analysis in the visible wavebands on a selection of bright (m< 6), hot (O/B/A) stars. The VERITAS Collaboration has agreed to the deployment and operation of VERITAS-SII during several days each month around the full moon period when VERITAS does not perform VHE gamma-ray observations. The VERITAS-SII augmentation employs custom high-speed/low-noise focal plane instrumentation using high quantum efficiency photomultiplier tubes, and a battery-powered, fiber-optic controlled High Voltage supply. To reduce engineering time, VERITAS-SII uses commercially available high-speed (250 MS/sec), continuously streaming electronics to record the time dependence of the intensity fluctuations at each VERITAS telescope. VERITAS-SII also uses fast ( < 100 psec) data acquisition clock synchronization over inter-telescope distances (greater than 100 m) using a commercially available White Rabbit based timing solution. VERITAS-SII is now in full operation at the VERITAS observatory, F.L. Whipple Observatory, Amado, AZ USA. This paper describes the design of the instrumentation hardware used for VERITAS-SII augmentation of the VERITAS observatory, the status of initial VERITAS-SII observations, and plans for future improvements to VERITAS-SII.
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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 | 0.001 |
| 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 it