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Single Gaussian Fitting Analysis for Peak Finding and Background Estimation

Analyzing data using single Gaussian fitting to estimate mean value shift due to background events, peak finding, and background subtraction in simulation. Results show successful implementation for matrix tuning code.

wynter-barton
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Single Gaussian Fitting Analysis for Peak Finding and Background Estimation

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  1. HES-HKS analysis meeting 23/Jan/2013 ToshiGogami

  2. Contents • Single Gaussian fitting of 12ΛBg.s. with background events.  Mean value shift due to background shape How much is it? ( E05-115 data ) ( After and Before B.G. subtraction )

  3. Peak finding with a ROOT function Low current data Peak finding --> Background estimation

  4. Simulation SIMULATION • Fit by single Gaussian to estimate mean value • See how much is it different from generated one σ = 700 keV/c2 Before subtracting B.G. SIMULATION After subtracting B.G. σ = 700 keV/c2

  5. Simulation SIMULATION • Fit by single Gaussian to estimate mean value • See how much is it different from generated one σ = 700 keV/c2 Before subtracting B.G. SIMULATION After subtracting B.G. σ = 700 keV/c2

  6. Results Looks it works well  Implementing into matrix tuning code

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