In his doctoral thesis, Todd details a method for data analysis in a way that minimizes a source of bias in some particle physics experiments. By analyzing information from two distant detectors simultaneously rather than sequentially, he incorporated the lack of precision knowledge in both detectors. A University of Cincinnati graduate, Todd used data from Fermilab’s MINOS and MINOS+ experiments, and his analysis can be applied in other neutrino research as well.
The year 2018 will be remembered as a very eventful year for CMS as a whole and especially for the Fermilab group. Thanks to excellent accelerator performance, the LHC delivered much more proton-proton collision data than anticipated, making the LHC Run 2 a very successful data-taking period. Being at the very core of the detector operations and computing, the Fermilab group was key in ensuring that a large and high quality data set was collected for searches and precision measurements.