22–28 May 2022
La Biodola - Isola d'Elba (Italy)
Europe/Rome timezone
submission of the proceedings for the PM2021 has been postponed to July 31, 2022

Development of the Trigger system for the Mu2e experiment at Fermilab

Speaker

Gianantonio Pezzullo (Yale University)

Description

The Mu2e experiment at Fermilab searches for the $\mu^-$ conversion in the Coulomb field of an Al nucleus. The kinematics of this process is well-modelled by a two-body decay, resulting in a mono-energetic electron with the recoil of the atomic nucleus and with no neutrinos in the final state. The conversion electron (CE) has the energy of about the muon rest mass (104.967 MeV).

After three years of data taking, Mu2e will reach the sensitivity level of $R_{\mu e}\leq 6 \times 10^{-17}$ (@ 90$\%$ C.L.), improving the current limit on \convrate by four orders of magnitude. A very intense pulsed muon beam ($\sim 10^{10} \mu/$s) is stopped on a target inside a very long, curved solenoid where the detector is. The Mu2e detector consists of a 3.2 m long straw-tube tracker and an electromagnetic crystal calorimeter.

The TDAQ (Trigger and Data Acquisition) system provides a continuous data stream from the readout controller boards to the TDAQ farm, which performs the online event reconstruction. The events are then selected based on the decision of dedicated software filters. The bulk of the trigger lines use the tracking information to perform the event selection; these include lines for the CE candidate search and other lines for calibration, background characterization and monitoring. The trigger system needs to deliver a signal efficiency $>90\%$ and a processing time $\leq 5$~ms/event while providing $>99%$ background rejection. These are challenging requirements for the track reconstruction software and the TDAQ system.

The TDAQ group recently installed a large-scale prototype that provides advanced testing capabilities. The prototype consists of 20 detector-transfer-control units in 10 servers. We will present the track reconstruction algorithms and the expected performance of the trigger system, in terms of signal selection efficiency and trigger rate, as well as the expected timing performance obtained with the prototype.

Collaboration Mu2e TDAQ group

Primary author

Gianantonio Pezzullo (Yale University)

Co-authors

Youngyi Wu (Michigan University) David Brown (Lawrence Berkeley National Lab) Simon Corrodi (ANL) Evan Croft (Michigan University) Mackenzie Devilbiss (Michigan University) Stefano Di Falco (Istituto Nazionale di Fisica Nucleare) Simone Donati (Istituto Nazionale di Fisica Nucleare) Craig Dukes (University of Virginia) Bertrand Echenard (California Institute of Technology) Ralf Ehrlich (University of Virginia) Eric Flumerfelt (Fermilab) Ruben Gargiulo (Istituto Nazionale di Fisica Nucleare) Antonio Gioiosa (Istituto Nazionale di Fisica Nucleare) Simona Giovannella (Istituto Nazionale di Fisica Nucleare) Rick Kwarciany (Fermilab) sophie Middleton (Imperial College London) Stefano Miscetti (Istituto Nazionale di Fisica Nucleare) Luca Morescalchi (Istituto Nazionale di Fisica Nucleare) Pavel Murat (Fermilab) Daniele Paesani (Istituto Nazionale di Fisica Nucleare) Elena Pedreschi (Istituto Nazionale di Fisica Nucleare) Ryan Rivera (Fermilab) Franco Spinella (Istituto Nazionale di Fisica Nucleare) Monica Tecchio (University of Michigan) Lei Xia (Argonne National Laboratory)

Presentation materials