The LVD Core Facility: a study of LVD as muon veto and active shielding\n for dark matter experiments
Bibliographic record
Abstract
In this study we explore the possibility of using the existing structure of a\nrunning experiment, the LVD supernova observatory at the INFN Gran Sasso\nNational Laboratory, as an active shield and veto for the muon-induced\nbackground. In our vision LVD could become (without affecting in any way its\nmain purpose of SN neutrino telescope) a host for a relatively compact but\nmassive experiment looking for rare events. The empty volume that can be\nobtained removing 2 modules from the most internal part of the detector is 2.1m\nx 6.2m x 2.8m; we will call it LVD Core Facility (LVD-CF). We have evaluated\nthe active vetoing and shielding power of LVD, with a detailed MC simulation\n(based on Geant4) of the detector and the rock that surrounds it. The results\nshow that the flux of neutrons that are not associated with a visible muon in\nLVD is very low; it results reduced by a factor 50, equivalent to the one\npresent in a much deeper underground laboratory, i.e. Sudbury. Moreover we\npresent the results of on-going measurements about the gamma contamination\ninside the LVD-CF: it is reduced by a factor greater than 10 with respect to\nthe one measured outside the LVD detector.\n
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".