Bibliographic record
Abstract
SNO+ is a multipurpose detector situated at the SNOLAB facility located at Creighton mine \n2 km deep. The SNO+ experiment will have three phases: water, pure scintillator and Te-loaded \nscintillator. With the detector filled with scintillator, solar neutrinos, geo and reactor anti-neutrinos, \nand supernova neutrinos can be studied. To analyze the data collected by the detector, it is \nimportant to have detailed knowledge of the detector response. This is why calibration is a crucial \npart of the experiment. The detector response to neutrons will allow us to study the anti-neutrino \nflux coming from reactors in Canada. Anti-neutrinos can be detected via the inverse beta decay \nreaction which can be tagged using the neutrons it produces. \nThis thesis will discuss the radioactive calibration source Americium Beryllium (AmBe) which \nproduces neutrons and gammas. The existing AmBe source - inherited from the SNO experiment \n- that will be used in water phase has to be modified for the scintillator and loaded scintillator \nphases. Simulations were carried out to determine the optimal additional shielding required for \nthe scintillator phase. The optimal shielding was determined to be 2 mm of lead surrounded by \n1 mm of stainless steel for the encapsulation. The new design for the AmBe source was finalised. \nThe estimated neutron capture event detection efficiency is 74.22%. The analysis of the source \ndeployment at various positions within the detector and the shadowing effects are discussed as \nwell.
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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 | 0.001 | 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".