Cargando…
Adversarial Neural Network-based data-simulation corrections for jet-tagging at CMS
Variable-dependent scale factors are commonly used in HEP to improve shape agreement of data and simulation. The choice of the underlying model is of great importance, but often requires a lot of manual tuning e.g. of bin sizes or fitted functions. This can be alleviated through the use of neural ne...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2797733 |