13–17 Jun 2022
US/Central timezone

TDAQ and slow control production systems installation in the Mu2e experiment at Fermilab

Not scheduled
20m

Speaker

Antonio Gioiosa (University of Molise and INFN)

Description

The Mu2e experiment at the Fermilab will search for a coherent neutrino-
less conversion of a muon into an electron in the field of an aluminum nucleus
with a sensitivity improvement by a factor of 10,000 over existing limits. The
Mu2e Trigger and Data Acquisition System (TDAQ) uses otsdaq framework
as the online Data Acquisition System (DAQ) solution. Developed at Fermi-
lab, otsdaq integrates several framework components - an artdaq-based DAQ,
an art-based event processing, and an EPICS-based detector control system
(DCS), and provides a uniform multi-user interface to its components through
a web browser.
Data streams from the Mu2e tracker and calorimeter are handled by the
artdaq-based DAQ and processed by a one-level software trigger implemented
within the art framework. Events accepted by the trigger have their data com-
bined, post-trigger, with the separately read out data from the Mu2e Cosmic
Ray Veto system.
Foundation of the Mu2e DCS, EPICS – an Experimental Physics and Indus-
trial Control System – is an open-source platform for monitoring, controlling,
alarming, and archiving.
A prototype of the TDAQ and the DCS systems has been built and tested
over the last three years at Fermilab’s Feynman Computing Center, and now
the production system installation is underway. The poster will present their
status and focus on the installation for racks, workstations, network switches,
gateway computers, DAQ hardware, slow controls implementation. It will also
show the network design.

Primary authors

Antonio Gioiosa (University of Molise and INFN) Richard Bonventre (Lawrence Berkeley National Lab) Simone Donati (Istituto Nazionale di Fisica Nucleare) Eric Flumerfelt (Fermilab) Glenn Horton-Smith (Kansas State University) Luca Morescalchi (INFN Pisa & University of Siena) Pavel Murat Vivian O'Dell (Fermilab) Elena Pedreschi Gianantonio Pezzullo (Yale University) Lorenzo Uplegger (Fermilab) franco spinella (infn) Ryan Rivera (FNAL)

Presentation materials

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