Yale University

PHYS 381/504: Op. amps., quartz resonators, and noise

Introduction
Johnson Noise
Macroscopic Derivation
Microscopic Derivation
Install and Test the Optical Amplifier
Install the Tuning Fork
Welcome to LabView
Tune out the Package Capacitance
Gather Data
Load the Driven Circuit Data
Fit the Driven Circuit Data
Find Circuit Characteristics from this Fit
Analyze the Undriven Circuit from Characteristics
Final Results
References
-------------------------------------------------------
PHYS 381La HOME
Classes Page
Yale Graduate School
Yale University

Andrew Pariser, December 2005
modified S.M., January 2006

© 2006 Yale University, New Haven, Connecticut 06520

Data Fitting

<<Statistics`NonlinearFit`

Fit the data, using a standard Lorentz curve (not what Groebr uses, but this works!)

LorentzCurve = a/((f - f0)^2 + γ^2) + c ;

Mathematica will not fit the constant c.  We fix the value by taking the average height of the noise response off resonance.

backgroundNoiseLevel = Mean[Table[Peak_V[[i, 2]], {i, 1, 400}]]

9.33713*10^-11

Perform the fit, fixing f0 as the resonance frequency, and c as the background noise level.

LorentzFit  =

{BestFitParameters

This is the function with the values obtained from the fit.

dataFit = (LorentzCurve/.{f0→32766, c→backgroundNoiseLevel})/.LorentzFit[[1, 2]]

9.33713*10^-11 + 5.17109*10^-6/(0.795412 + (-32766 + f)^2)

Observe the fit laid on top of the data.

ListPlotPeak

[Graphics:HTMLFiles/data_fitting_10.gif]

-Graphics -

Top