# Difference between revisions of "LB DetLimits Thesis"

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Slope : <math> 5.45500 \times 10^{-1} \pm 4.14090 \times 10^{-5} </math> | Slope : <math> 5.45500 \times 10^{-1} \pm 4.14090 \times 10^{-5} </math> | ||

+ | |||

+ | Now the "initial concentration" is | ||

+ | |||

+ | <math> x = \frac{-A}{B} = (0.10 \pm 0.01)\% </math> | ||

+ | |||

+ | Now propagate the errors through when shifting the concentration on the signal to noise ratio plot to get accurate x errors. |

## Revision as of 19:07, 3 August 2018

## 50% Excluded

For this analysis, begin by using the first measurement of the Se-75 line and using the standard exponential decay equation to correct it and its error back to the time of beam off. Below is a table of the Se-75 (120d) corrected measurements as well as the front nickel foils and the Mn-54 data for each measurement. Note the Mn-54 analysis was weighted by the mass of the soil.

Sample | Activated (total beam time) | Counted | Fully Thesis Corrected Rate @ 1st Measurement (Hz) | |

10% Se/Soil Mixture | 5/23/17 and 5/24/17 (83 min) | 07/18/17 (16:25:44) | 3109.68 | 95.394280.08 | 131.29

10% Se/Soil Pure Witness selenium | 5/23/17 and 5/24/17 (83 min) | 8/1/17 (16:05:51) | 4161.29 | 127.636210.50 | 190.48

10% Se/Soil Front Inner Ni Foil | 5/23/17 (1h) | 5/23/17 (15:52:21) | 385955 | 23488.8425064.36 | 25868.95

10% Se/Soil Mixture Mn-54 | 5/23/17 (1h) | 07/18/17 (16:25:44) | 15.63 | 0.5617.67 | 0.63

1% Sample Se/Soil Mixture | 5/23/17 (1h) | 6/23/17 (16:39:03) | 2233.33 | 68.522675.24 | 82.08

1% Sample Se/Soil Pure Witness selenium | 5/23/17 (1h) | 7/20/17 (16:39:46) | 3840.86 | 117.815379.43 | 165.00

1% Sample Se/Soil Front Inner Ni Foil | 5/23/17 (1h) | 5/23/17 (17:59:39) | 261461 | 16045.7293170.78 | 17991.71

1% Sample Se/Soil Mixture Mn-54 | 5/23/17 (1h) | 6/23/17 (16:39:03) | 9.38 | 0.3910.05 | 0.42

0.1% Sample Se/Soil Mixture | 5/23/17 (30 min) | 6/19/17 (18:25:18) | 849.46 | 26.07993.59 | 30.49

0.1% Sample Se/Soil Pure Witness Selenium | 5/23/17 (30 min) | 07/25/17 (16:32:52) | 834.41 | 25.611201.58 | 36.88

0.1% Sample Se/Soil Front Inner Ni Foil | 5/23/17 (30 min) | 5/24/17 (14:25:39 | 118412 | 7280.06197670.18 | 12152.98

0.1% Sample Se/Soil Mn-54 | 5/23/17 (30 min) | 6/19/17 (18:25:18) | 9.38 | 0.339.96 | 0.35

# Mn-54 Efficiency

A calibrated Mn-54 source was used to find the efficiency of an 834 keV line. The source was serial #J4-348, which had an activity of 9.882

on 8/01/12, so the activity on 4/18/17 was

Now converting to Hz gives

Source | Energy (keV) | Position | Expected Rate (Hz) | ROOT Window (keV) | HpGe Rate (Hz) | HpGe Detector A Efficiency (%) |

Mn-54 (J4-348) | 834 | 10cm (Det A) | 8138.05 | 3\%[829,839] | 25.87 | 0.280.32 | 0.01

## Activity Ratio Plots (Se-75)

Below are plots of the activity ratio of the Se/Soil mixture and specific activity of the pure selenium pellet as a reference material. The plots also have no restrictions on the equation of the line.

Following the analysis in Nate's thesis, the initial concentration should be the intercept on the x-axis, which is

This is much more physical than previous answers, but I was able to detect Se-75 at a 0.1% level. Let's try some other reference materials

Below is a plot where the activity ratio was taken using Ni-57 as a reference material. This was the front inner Nickel foil

This is not very physical because the graph implies that the initial concentration in the soil was 19.18%, but there were no Se-75 lines observed in a pure soil sample, so this cannot be true

Finally let's try Mn-54 as a reference material as it was internal to the sample.

Now find the initial concentration by finding the x-intercept.

This is still better than the nickel, but still not physical because of the argument presented in the section about the pure selenium ratio.

Now try to fix the linear fit's parameters such that the x-intercept is less than 0.1%. To do this, fix the y-intercept and the slope separately to see if their intercepts agree. If y = A+Bx, when y = 0, then

The fitting function for the plot with the pure selenium used as a reference material was y(x) = (0.054558 +/- 0.004056) + (0.122961 +/- 0.006568)*x, so by fixing the y-intercept, we have

Below is a plot where the red line is the fixed and bounded fit

Even though the y-value was fixed, I kept the error so the fit equation is y(x) = (0.0545580 +/- 0.004056) + (0.545580 +/- 0.0000414)*x, which yields an x intercept of 0.1 +/-0.01 (note that for all plots it seems by bounding the fit the x-intercept will be as close as possible to the closest value before restrictions, so all fixed fits give x-intercepts of 0.1%

Now shift the concentration values by 0.1%, and plot the signal to noise ratio at the highest measured value.

Now we still have a non-zero y-intercept, but by increasing it by 2 standard deviations gives a value of 0.195189, now finding the value of x for this, we get

where the error is determined by

Where

is the y intercept increased by 2 standard deviations## Activity Ratio Plots (Se-81m)

Let's repeat the above analysis with Se-81m data. So begin by plotting the ratio

vs the concentration (omitting the 50% sample)The equation of the fit gives an initial concentration of (1.75 +/- 0.17)%, but I want to force the intercept to be greater than -0.1%, so force the fit to have the desired intercept

Keeping the error in the y-intercept, the equation of the line is

which yields an x-intercept of 0.10000%, so now shift the SNR plot over by 0.1%, and use the values of the highest SNR

now

## Another Method (Se-75)

For this method, I will use the

data and force the activity to be 0 when there is 0% Se in the soil (This was the original goal from gathering the dirt from a national forest) so use the uncorrected concentrations to find how much Se/Soil was "in the dirt to begin with" and force shift the concentration by that amount to force an intercept at (0,0). First, plot the activity ratio as a function of concentration for the previously mentioned ratio. Note the denominator is kept constant, so this plot is measuring how the activity of the mixture behaves.Now we have an initial concentration of 0.44%, so shift the concentration by this number

The error in the intercept is high, but it is consistent with zero, so lets increase the intercept by

to get

Now find the corresponding x point

This has high error probably due to the uncertainty in the intercept.

## Another Method (Se-81m)

Let's repeat this for Se-81m. The plot below will give the initial concentration of Se-81m in the soil.

The x-intercept is (1.75 +/- 0.17)%, so shift the concentration by this amount.

Now increase the y-intercept by

to get 0.006213, now find the corresponding x-value

Again this error is high. It would seem plotting the SNR vs. Concentration + Spikant works better

## X and Y errors (Se-75)

Now lets repeat the method that yielded the best result, but with x and y errors present. I will be using a TGraphErrors() to plot the data, and fitting with the fit panel. Below is a plot of the activity ratio vs. concentration, but note the errors in x are very small (on the order of 0.05%).

The fit parameters are

Intercept =

Slope =

The intercept parameter here is slightly different than the fit without the error bars in x. Now find the "initial concentration"

This is the same as the above analysis, but I will continue and fix the fit as described above.

The fit parameters for the fixed fit are

Intercept:

Slope :

Now the "initial concentration" is

Now propagate the errors through when shifting the concentration on the signal to noise ratio plot to get accurate x errors.