Cargando…
Using Machine Learning techniques for Data Quality Monitoring in CMS and ALICE experiments
Data Quality Assurance plays an important role in all high-energy physics experiments. Currently used methods rely heavily on manual labour and human expert judgements. Hence, multiple attempts are being undertaken to develop automatic solutions especially based on machine learning techniques as the...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
SISSA
2019
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.22323/1.350.0236 http://cds.cern.ch/record/2707754 |