Extraction of Faint Features From STEREO COR1 Data

In white light coronagraph data, many kinematic properties of coronal features are measured by eye. These kinds of measurements can be difficult or impossible for features whose brightness is comparable to the noise level of the images. This could present a particular problem for those attempting to study future events coincident in the two STEREO COR1 coronagraphs. As their angular separation increases it will be increasingly difficult to see events in both instruments, since brightness falls off quickly with distance from the plane of the sky. In this work we seek to extend the intensity range of features that can be studied in COR1 data to previously intractable signal levels, using an unusual image differencing method and an angular integration technique presented by Dal Lago et al (2004). Challenges inherent to using this scheme with COR1 data will be discussed and examples of such faint features in original and enhanced versions will be presented.