PCA Filtering of Tortugas Mountain Observatory 0.6m Goodrich Observations of LCROSS

This archive contains the data products from observations of the 2009-10-09 impact of the Lunar CRater Observation and Sensing Satellite (LCROSS) spacecraft on the Moon by the Goodrich instrument on the Tortugas Mountain Observatory 0.6m telescope. We use principal component analysis (PCA) filtering both to coregister the raw time series and to effectively remove a static background signal that is spatially and temporally modified by atmospheric and instrumental effects. We iteratively remove principal components from the data through cumulative sequential elimination (CSE) resulting in a non-detection of the LCROSS ejecta plume signal.

Full details are available in the published journal article:

Strycker, Paul D., Nancy J. Chanover, Ruth L. Temme, Jonathan M. Schotte, Payton L. Mueller, and Emily L. Karls. 2023. "Time Series Analysis Methods and Detectability Factors for Ground-Based Imaging of the LCROSS Impact Plume" Remote Sensing 15, no. 1: 37. https://doi.org/10.3390/rs15010037

This work was supported by NASA’s Lunar Data Analysis Program through grant number NNX15AP92G.