run on the LIGO-Caltech Computing Cluster at the California Insitute of Technology in Pasadena, CA, under the control of the Condor queuing system for parallel processing. The search process was split into 5825 individual Condor jobs, each of which searched over a $0.1$-Hz subband and corresponding swathes of $(\dot{f},\ddot{f})$. The number of templates searched by each job thus varied as a function of frequency.

Each search job produced three distinct outputs. First, a record was made of all candidates with $2\mathcal{F}$ above 45.0, a choice of recording different from the search which recorded the loudest $0.01\%$ of events. This was needed because of the contamination of the noise by detector artifacts, as well as limits on the disk space available and the input/output capability of the cluster filesystem. Second, a histogram of $2\mathcal{F}$ values for all templates searched was produced to verify that the data matched the expected chi-square distribution (described in Subsec. \[s:A\_method\] above). Last, each job produced a record of the loudest (highest-$2\mathcal{F}$-valued) candidate in its 0.1-Hz band, regardless of threshold. This data was used in the setting and validation of upper limits (see Section  \[s:uls\] below).

Vetoes
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A high value of $2\mathcal{F}$ is not enough to 