Speaker
Description
The Fermilab Muon g-2 Experiment (E989) has successfully started data taking for Run-3, with the analysis of Run-1 and Run-2 data currently ongoing. The main goal of the experiment is to measure the muon magnetic anomaly a$_{\mu}$ to an unprecedented precision of 140 ppb.
The straw tracking detectors contribute to reduce the experimental systematic uncertainty on a$_{\mu}$: the positrons reconstructed trajectories allow to obtain accurate muon beam distributions, and to perform track extrapolation forwards to the calorimeters.
The Kalman Filter (KF) algorithm implementation in the g-2 offline software is presented as a track-fitting method, alternative to the current global least-squares minimization procedure. The KF technique is proposed to obtain higher-quality residual at every hit and an optimal estimator along the full trajectory, thus enabling better tracking refinement, alignment and calibration.
| Consider for young scientist forum (Student or postdoc speaker) | No |
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