this is for holding javascript data
Madeline Horn edited To_analyze_this_data_we__.tex
over 8 years ago
Commit id: f92ef81d27f6da645146e32079c8734b9bbd5f20
deletions | additions
diff --git a/To_analyze_this_data_we__.tex b/To_analyze_this_data_we__.tex
index 0d4135a..3c4bcf6 100644
--- a/To_analyze_this_data_we__.tex
+++ b/To_analyze_this_data_we__.tex
...
\label{eq:ENBW}
ENBW = f_c (Pi \cdot Q / 2)
\end{equation}
The Q values came from the Noise Fundamental test data and are shown in Table 2. By using this equation, we found the Equivolent Noise Bandwith or $\Delta f$. After plotting
$V^2$ $V^2/4TR$ versus Bandwidth ($\Delta f$), we were able to find the slope. Because of how we plotted the data, the slope is
therefore: $4 K R T$ and we know therefore K, the
Boltlmann Constant. You can see these graphs in FIGURE WHAT. We did two different Boltmann experiments, one with a $10K$ ohm resistor and one with a $1K$ ohm resistor. Both values
were obtained from the slope of
R FIGURES WHAT and
T because we kept them constant. After solving for K, we found the Boltzmann Constant for our data to be $1.908 both values were $1.46 \cdot 10^{-23} \textrm{ m}^2 \textrm{ kg} \textrm{ s}^{-2} \textrm{ K}^{-1}$. This is close to the actual Boltzmann Constant ($1.38064852 \cdot 10^{-23} \textrm{ m}^2 \textrm{ kg} \textrm{ s}^{-2} \textrm{
K}^{-1}$), but we still need to subtract the instrument noise from K}^{-1}$) and the
total noise in order accuracy of this result is due to
see if we got a more accurate value. systematic error.