Calibration of the PICO-0.1 bubble chamber and development of coated inner vessels for dark matter search
Bibliographic record
Abstract
The detection of dark matter is one of the biggest challenges in modern physics. The PICO \nexperiment aims for the direct detection of Weakly Interacting Massive Particles (WIMPs) with \nbubble chambers. \nIn this thesis, results from calibrations of the PICO-0.1 test chamber is presented. Calibrations \nwere performed at the Tandem Van de Graaff facility of the Université de Montréal. Monoenergetic \nneutrons were produced from the 51V(p,n)51Cr reaction with a 1.6 MeV proton beam. \nTwo 3He neutron counters used during calibrations for neutron flux normalization were also \ncalibrated. This result is contributing in improving Monte Carlo simulations of PICO-0.1. \nFinally, preliminary work was done toward the use of new inner vessel materials with coated \nsurfaces for bubble chambers. A Condensation Bubble Chambers (CBCs) was used as a test-bench. \nProgress has been made toward the usability of Poly-methyl-methacrylate vessels, but more work \nis needed to solve spontaneous wall nucleation problems.
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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 | 0.001 | 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".