  Principal Component Analysis (PCA)-based techniques can separate data into
different uncorrelated components and facilitate the statistical analysis as a
pre-processing step. Independent Component Analysis (ICA) can separate
statistically independent signal sources through a non-parametric and iterative
algorithm. Non-negative matrix factorization is another PCA-similar approach to
categorizing dimensions in physically-interpretable groups. Singular spectrum
analysis (SSA) is a time-series-related PCA-like algorithm. After an
introduction and a literature review on processing JWST data from the
Near-Infrared Camera (NIRCam) and Mid-Infrared Instrument (MIRI), potential
parts to intervene in the James Webb Space Telescope imaging data reduction
pipeline will be discussed.
