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We describe the digest2 software package, a fast, short-arc orbit classifierfor small Solar System bodies. The digest2 algorithm has been serving thecommunity for more than 13 years. The code provides a score, D2, whichrepresents a pseudo-probability that a tracklet belongs to a given Solar Systemorbit type. digest2 is primarily used as a classifier for Near-Earth Object(NEO) candidates, to identify those to be prioritized for follow-upobservation. We describe the historical development of digest2 and demonstrateits use on real and synthetic data. We find that digest2 can accurately andprecisely distinguish NEOs from non- NEOs. At the time of detection, 14% of NEOtracklets and 98.5% of non-NEOs tracklets have D2 below the critical value ofD2 = 65. 94% of our simulated NEOs achieved the maximum D2 = 100 and 99.6% ofNEOs achieved $D2 \ge 65$ at least once during the simulated 10-year timeframe.We demonstrate that D2 varies as a function of time, rate of motion, magnitudeand sky-plane location, and show that NEOs tend to have lower D2 at low Solarelongations close to the ecliptic. We use our findings to recommend futuredevelopment directions for the digest2 code.

The digest2 NEO Classification Code