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We present a principal component analysis method which tracks and compensatesfor short-timescale variability in pulsar profiles, with a goal of improvingpulsar timing precision. We couple this with a fast likelihood technique fordetermining pulse time of arrival, marginalizing over the principal componentamplitudes. This allows accurate estimation of timing errors in the presence ofpulsar variability.  We apply the algorithm to the slow pulsar PSR J2139+0040 using an archivedset of untargeted raster-scan observations at arbitrary epochs across fouryears, obtaining an improved timing solution. The method permits accuratepulsar timing in data sets with short contiguous on-source observations,opening opportunities for commensality between pulsar timing and mappingsurveys.

Improved Pulsar Timing via Principle Component Mode Tracking