Abstract Details

Title: Searching for Variable Events in High-Cadence Data

Authors: M. Thompson, M. Reed, L. Hicks, A. Baran

Abstract Submitted by: Matthew Thompson

Institute/Affiliation: Missouri State University

Abstract Type: poster

Abstract Information:

Automated processing of collected data is an integral component to any autonomous survey system. We present a system that is designed to detect short period variability in several stages. For short period (under 30 minute) durations we employ Fourier analysis and for mid-range (30 minutes to 4 hours) durations we use phase dispersion minimization. Multiple observations of the same field can be used to detect longer duration variability as well as complement the short duration techniques. Our hybrid database system and software toolchain will also be discussed if time permits.