Design and optimisation of a variable momentum secondary beamline for the NP06/ENUBET project

Year
2023
Degree
PhD
Author
Parozzi, Elisabetta Giulia
Mail
elisabetta.giulia.parozzi@cern.ch
Institution
Universita & INFN, Milano-Bicocca (IT)
Abstract

The precision of the measurement of the cross-section of the electronic and muon neutrino is mainly limited by the knowledge of the initial flux. The current precision is on the order of 5−10%. The ENUBET (Enhanced NeUtrino Beam from kaon Tagging) project proposes a new facility capable of monitoring the neutrino beam produced by a secondary meson beam by tagging the corresponding lepton emitted in the same production decay. This type of study places several restrictions on the secondary beam, that essentially defines the energy spectrum of the neutrinos reaching the far detector. In this Ph.D. thesis work, we present the studies carried out for the design and optimization of a modular momentum beamline (Multi-Momentum Beamline) at the BE-EA-LE section of CERN. The proposed layout is optimized for the transport of $K$$^{+}$ and $\pi$$^{+}$ mesons with momentum centered around 8.5, 6 and 4 GeV/c. Using this beamline, it is possible to monitor the neutrino energy in the area of interest of experiments such as HyperK, T2K, and DUNE through the same configuration of magnets. In addition to modularity, the developed multi-momentum beamline presents remarkable properties such as a very satisfactory neutrino yield, control of the background, and satisfactory beam properties and performance that are all discussed in detail. A special target optimization procedure for maximizing the hadron yield has also been devised. Furthermore, the design is made up of only elements already in use at CERN. The use of pre-existing magnets allows a quantitative as well as qualitative analysis of the performance of the beamline as well as a low cost in the implementation. Finally, a comparison between Monte-Carlo and data for the ENUBINO prototype, tested at CERN’s EAST area is presented.

Supervisors
Terranova, Francesco (Milan Bicocca U.)
Report number
CERN-THESIS-2023-265
Date of last update
2023-12-07