One-dimensional deconvolution of the solar passive seismic dataset proves to be a quick and advantageous step prior to auto-correlation processing to produce a sharper result. The assumption that the solar data are approximately stationary, however, is flawed and results in inadequate representation of the entire body of the data when a PEF is estimated on a small part of the data. By operating instead on the gradient of the raw data, this problem is greatly reduced as the major problematic remnant in the raw data deconvolution was a large low-frequency component.
Processing the solar data in this manner may have uncovered a previously undiscovered and possibly directionally propagating event. Conversation with the solar physicist are underway in hopes of identifying what type of physical phenomenon these could be. Two-dimensional deconvolution and work on a larger, longer similar data set may prove fruitful in the near future.