18–26 Feb 2021
Online
Europe/Rome timezone

Optimization of the Target Station for the ESSnuSB Project Using the Genetic Algorithm

22 Feb 2021, 12:05
5m
Room 1 (https://unipd.link/NeuTel-ParallelRoom1)

Room 1

https://unipd.link/NeuTel-ParallelRoom1

Parallel Flash talk Neutrino Masses and Mixings New Facilities

Speaker

Loris D'Alessi (IPHC, Université de Strasbourg, CNRS/IN2P3)

Description

The ESS neutrino Super Beam project (ESS$\nu$SB) aims at the production of an intense neutrino beam by using the 5 MW average power proton beam from the ESS facility currently under construction in Lund (Sweden). In the present work, we show the results of the Genetic Algorithm applied to the design of the ESS$\nu$SB target station. The impact of this optimization method on the physics reach of the experiment, especially on the precision which can be achieved in the measurement of the neutrino oscillation CP-violating phase $\delta_{CP}$, is discussed. The ESS$\nu$SB project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777419.

Collaboration name ESSnuSB

Primary author

Loris D'Alessi (IPHC, Université de Strasbourg, CNRS/IN2P3)

Co-authors

Julie Thomas (IPHC, Université de Strasbourg, CNRS/IN2P3) Salvador Rosauro-Alcaraz (Departamento de Física Teórica and Instituto de Física Teórica, IFT-UAM/CSIC, Universidad Autónoma de Madrid) Enrique Fernandez-Martinez (Departamento de Física Teórica and Instituto de Física Teórica, IFT-UAM/CSIC, Universidad Autónoma de Madrid) Eric Baussan (IPHC, Université de Strasbourg, CNRS/IN2P3) Piotr Cupial (AGH, University of Science and Technology) Marcos Dracos (IPHC, Université de Strasbourg, CNRS/IN2P3)

Presentation materials