Genie Common Family Algorithms Course

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Prerequisites: SP-502-5 or equivalent experience.

Description:
An in-depth review of the most frequently used algorithms including conceptual explanations as well as the mathematical definitions. Insights into the behavior and capabilities of these algorithms will be developed. While some explanation of the mathematical concepts will be provided, a familiarity with mathematics will be helpful.

Course Content

1. Energy Calibration

• What it does (energy[C])
• How it works (LSF ==> energy[C])
• Calibrations performed
  • Energy vs. Channel
  • FWHM vs. Energy
  • Tailing vs. Energy
• Cautions - Sources of Error

2. Peak Locate - 2nd difference

• How it works
• How to use it _ Significance (Sensitivity) Settings
• Comparison to Standard PEAK

3. Peak Analysis

• How it works
  • Summation
  • Fit Singlets
• How to use it - Settings

4. Efficiency Correction/Efficiency Calibration

• How it works (LSF ==> eff[E])
• What it does (eff[E])
• Functional Forms
  • Dual (ln[eff] as a polynomial in ln[E])
  • Linear (log[eff] as a polynomial in [1/E])
  • Empirical (ln[eff] as a polynomial in ln[k/E])
• Cautions - Sources of Error

5. Nuclide Identification - Simple

6. Nuclide Identification - With (Matrix) Interference Correction

• How they work
• How to use them - Settings/Libraries

7. Detection Limits (MDA)

• How MDA is calculated 

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