Incorporating information from LIGO data quality streams into the PyCBC search for gravitational waves

We introduce a method for incorporating data from LIGO auxiliary channels into the PyCBC offline search for gravitational waves. A variety of auxiliary data sources can be used, including seismic noise sensors, data quality flags and iDQ timeseries data. This additional data is correlated with the single detector trigger rate observed by PyCBC. The variation of the trigger rate with auxiliary channels is incorporated into a new statistic in order to decrease the significance of triggers during periods of high noise. We demonstrate that this time-dependent noise model increases the sensitive time-volume of PyCBC.