this is for holding javascript data
Brian Jackson edited section_Formulating_the_Recovery_Biases__.tex
almost 9 years ago
Commit id: abe6d95b98ebe5914572e5661f900ee0090214c4
deletions | additions
diff --git a/section_Formulating_the_Recovery_Biases__.tex b/section_Formulating_the_Recovery_Biases__.tex
index bfe7c26..05d4f93 100644
--- a/section_Formulating_the_Recovery_Biases__.tex
+++ b/section_Formulating_the_Recovery_Biases__.tex
...
\label{eqn:b}
\end{equation}
There is a maximum closest approach distance $b_{\rm max}$ beyond which a devil will produce an undetectably small pressure signal, $P_{\rm obs} < P_{\rm min}$, and $b_{\rm max} = \left( \dfrac{\Gamma_{\rm act}}{2} \right) \sqrt{ \dfrac{P_{\rm act} - P_{\rm min}}{P_{\rm min}}}$. Devils with $b > b_{\rm max}$ will not be detected, which will bias our recovered population of devil parameters in ways that depend on the parameters themselves. It's worth noting that $\Gamma_{\rm act}$ may depend on $P_{\rm act}$, a point we will return to in
Section \ref{sec:}. Section. Again, this recovery bias results from the miss distance effect. Next, we use these equations to formulate the detection biases and signal distortions resulting from the miss distance effect.