Fabrications and Performance Test of ECal Modules in China for NICA-MPD Experiment
Bibliographic record
Abstract
Electromagnetic Calorimeter (ECal), a subdetector of Multipurpose Detector (MPD), is designed to identify electrons, photons, and neutral hadrons produced in high-energy heavy-ion collisions at nuclotron-based ion collider facility (NICA) and measure their energies and positions. A Shashlyk-type sampling calorimeter composed of lead plates as absorbers and plastic scintillators arranged alternately was selected for ECal. Chinese MPD consortium is responsible for the development of 768 ECal modules which is $$1/3$$ of the whole ECal detector. In this report, the mass production process of ECal modules and a performance test system designed for the mass production will be presented. The uniformity of the ECal modules achieved based on cosmic ray test will be discussed. Preliminary results demonstrate the produced ECal modules met the design requirements, indicating the quality control in mass production is effective. These modules were delivered to the Joint Institute for Nuclear Research (JINR) at Dubna in March 2023, and will soon be installed on MPD detector for further commissioning.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".