Composite Bi2Sr2CaCu2O8-x (Bi-2212) wire has great potential as a material for high temperature superconducting magnets, which can conduct electricity with no resistance and achieve magnetic fields exceeding 20 T. However, Bi-2212 wire needs to realize improved geometrical homogeneity in order to be effective for large magnet applications, and there are a large number of geometrical variables that can impact the overall homogeneity. By measuring intrinsic characteristics of the wire and submitting them to a Principal Component Analysis (PCA), high dimensional data can be diminished, while identifying important trends in the data. The broader goal of this algorithm is to specify the variables that contribute to the inhomogeneity and allow us to give design feedback to wire manufacturers, so that they can improve their wire fabrication techniques. An example of this is the ability of the PCA to find trends between the area and the coefficient of variation of area, such that the uniformity of the wire area can be seen.
