Day 2 Analysis
Complete the following set of analysis exercises and submit by 11:59 pm the day before you are due back in lab.
For the 662 keV peak of Cs-137 (with no absorber present), show the full method of count rate estimation using the in-software tools. Include the following:
an annotated figure (screenshot or replotted data) showing the identification of the region of interest you chose,
estimation of the number of counts in the background and the net counts in the peak (above background) within that region of interest, and
determination of the net count rate and uncertainty in the net count rate (with details of the calculations).
For the same 662 keV peak of Cs-137 (with no absorber present), show the full method of count rate estimation using a least-squares fit to a Gaussian plus background. Include the following:
show the mathematical model used in the fit;
the plot showing showing the data used in the fit with the full fit function overlayed on top;
all fit parameters (with uncertainties) and the reduced chi-square value for the fit.
Show a plot of the count rate (either rate $R$ or normalized rate $R/R_0$) of 662 keV gammas as a function of aluminum absorber thickness, with an exponential fit to the data. Include the following:
show the mathematical model used as the fit function;
the plot showing showing the data (and uncertainties) used in the fit with the full fit function overlayed on top;
all fit parameters (with uncertainties) and the reduced chi-square value for the fit;
a quantitative discussion of the reduced chi-square value;
the final value for the linear coefficient at this energy, $\lambda(E=662~\textrm{keV})$, with uncertainty; and
a quantitative discussion of the agreement between your experimental value and the literature value (available
below).