data samples used are shown in Table  \[SampleTable\]. We chose four representative frequencies ($100$ Hz, $200$ Hz, $400$ Hz, $600$ Hz) and generated joint-detector strain noise power spectral densities (PSDs) in $1$-Hz bands about these frequencies, using $0.01$-Hz binning. The sensitivity $h_{\textup{sens}}$ was then taken to be

$$\label{SensitivityEquation}
h_{\textup{sens}}^{j} = \left ( \frac{1}{\sqrt{(1/100) \cdot \sum_{i = 0}^{100}(S_{h}^{i}(f_{i}))^{-1}}} \right )_{j}$$

where $S_{h}^{i}(f)$ represents the PSD value of the $i^{th}$ bin, at frequency $f_{i}$, and the index $j$ runs from 1 through 4 and represents the four representative frequencies (note that this is not an actual estimate of detectable strain). Based on this figure of merit, the final nine days of S6 yielded the most sensitive data stretch for all four frequencies: October 11-20, 2010 (GPS 970840605 – 971621841).

[| c | c | c | c |]{}\
Label & GPS Start & GPS End & Dates (UTC)\
Week 1 & 931053000 & 931657800 & Jul 8-15, 2009\
Week 2 & 936053000 & 936657800 & Sep 3-10, 2009\
Week 3 & 941053000 & 941657800 & Oct 31-Nov 7, 2009\
Week 4 & 946053000 & 946657800 & Dec 28, 2009-Jan 4, 2010\
Week 5 & 951053000 & 951657800 & Feb 24-Mar 3, 2010\
