Alessandro Conigli

collaborators

3 papers

hep-lat2025

Machine-learning techniques as noise reduction strategies in lattice calculations of the muon $g - 2$

Thomas Blum, Alessandro Conigli, Lukas Geyer +3

Lattice calculations of the hadronic contributions to the muon anomalous magnetic moment are numerically highly demanding due to the necessity of reaching total errors at the sub-p…

hep-lat2025

The hadronic contribution to the running of $α$ and the electroweak mixing angle

Alessandro Conigli, Georg von Hippel, Simon Kuberski +3

We report on our update to [1] on the hadronic running of electroweak couplings from $O (a)$ -improved Wilson fermions with $N_{f} = 2 + 1$ flavours. The inclusion of additional ensembles…

hep-lat2024

Determination of the Gradient Flow Scale $t_{0}$ from a Mixed Action with Wilson Twisted Mass Valence Quarks

Alejandro Saez, Alessandro Conigli, Julien Frison +2

We perform the scale setting procedure of a mixed action setup consisting of valence Wilson twisted mass fermions at maximal twist on CLS ensembles with $N_{f} = 2 + 1$ flavours of $O(a)…

Machine-learning techniques as noise reduction strategies in lattice calculations of the muon g−2

The hadronic contribution to the running of α and the electroweak mixing angle

Determination of the Gradient Flow Scale t0​ from a Mixed Action with Wilson Twisted Mass Valence Quarks

Machine-learning techniques as noise reduction strategies in lattice calculations of the muon $g - 2$

The hadronic contribution to the running of $α$ and the electroweak mixing angle

Determination of the Gradient Flow Scale $t_{0}$ from a Mixed Action with Wilson Twisted Mass Valence Quarks