To accurately measure this anomaly, a calibration of the tracking
detectors is
required. The main project of my PhD involved developing, testing and
deploying
the calibration software framework, which increased the yield of
data by 3% and the data
quality
by
4%. The alignment procedure is a statistical problem, which involved
the optimisation of the
p-values of tracks via matrix inversion.
Presenting at the American Physical Society
conference. (Boston
2019)
Data analysis
There is also an additional measurement that will be made using the
tracking detectors:
setting a new limit on the electric dipole moment (EDM) of the
muon, producing a
world-leading result. I have been developing
algorithms to measure
the muon EDM, by analysing large and complex datasets using
regression and Fourier
transform methods.
Data acquisition
An essential component of the experiment is the data acquisition
(DAQ) system, which
manages the
data flow from the detector electronics. The experiment is
acquiring
raw data at a rate of 20 GB/s. This is accomplished by employing a
parallel data
processing architecture using 28 high-speed GPUs (NVIDIA Tesla
K40), reducing the
recorded data rate to 200 MB/s. To support the smooth operation of
the experiment and
ensure continuous data taking, a team of
data acquisition (DAQ) experts are available for 24/7 support. I have
actively participated
as the DAQ on-call computing expert between 2017 and 2019.
