Speaker
Description
The Mu2e experiment plans to search for neutrinoless muon to electron
conversion in the field of a nucleus. Such a process violates lepton
flavor conservation. To perform this search, a muon beam is focused on
an aluminum target, the muons are stopped in the field of the aluminum
nucleus, and electrons emitted from subsequent muon decays in orbit
are measured. The endpoint energy for this process is 104.97 MeV; an
excess of measured electrons at this energy signifies neutrinoless
muon to electron conversion has occurred.Currently under construction
at the Fermilab Muon Campus, Mu2e will stop $10^{18}$ muons on target
in 3 years of running, with the goal of reaching a single event
sensitivity of #3\times10^{-17}$ on the branching ratio.
In order to reach such a sensitivity, one must write software that
efficiently reconstructs the tracks of conversion electrons that pass
through the Mu2e tracker. This has been achieved by breaking the
reconstruction process down into four successive steps: hit
reconstruction, time clustering, helix finding, and a final track
fitting. One shortcoming of the current code is that the time
clustering and helix finding stages make various assumptions that make
them highly tuned to conversion electrons at the endpoint energy. This
limits the collaboration’s ability to constrain some backgrounds, and
search for a larger range of physics.
In addition to that, the trigger and data-acquisition (TDAQ) system
makes an extensive use of online track reconstruction based on the
same algorithms developed in the Offline software. The events are
selected based on the decision of dedicated software filters. To match
the Mu2e requirements, the trigger system needs to deliver a signal
efficiency $>90\%$ and a processing time $\leq 5$~ms/event.
The work presented here details the development of agnostic track
reconstruction algorithms, and how they fit into the Mu2e trigger
system.
| Collaboration | Mu2e |
|---|---|
| Role of Submitter | I am the presenter |
