Calibration Of The Sno+ Detector With A Light Diffusing Source In The Water Phase
Bibliographic record
Abstract
SNO+ is a neutrino physics experiment located in Sudbury, Canada, that will search for the neutrinoless double beta decay process. This and other physics goals require a detailed knowledge of the detector energy resolution and systematics, which is achieved by a comprehensive calibration program. It includes the Optical Calibration, that uses a light diffusing sphere called “laserball” to characterize the effects changing the propagation and collection of light inside the detector, such as media attenuations and the response to light of the 9400 PMTs. Laserball data was obtained in 2017, in particular during an extensive data taking campaign in December that resulted in 204 runs collected in 35 positions, using 6 available wavelengths. This poster will describe the laserball hardware used during the Water Phase of SNO+ and will present the results of the Optical Calibration analysis and related studies.
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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".