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howto:lifetime_fitting_using_the_tcpsc_fitting_script

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howto:lifetime_fitting_using_the_tcpsc_fitting_script [2014/06/18 11:03] adminhowto:lifetime_fitting_using_the_tcpsc_fitting_script [2023/09/07 22:43] (current) – [Step-by-Step Tutorial] peter
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 {{tag>howto analysis lifetime tutorial SymPhoTime}} {{tag>howto analysis lifetime tutorial SymPhoTime}}
  
-~~TOC~~+~~NOTOC~~
  
 ====== SymPhoTime Lifetime Fitting  ====== ====== SymPhoTime Lifetime Fitting  ======
  
  
- \\  
 ===== Summary ===== ===== Summary =====
  
  
-This tutorial shows step-by-step, how to fit the lifetime of a measured sample. As an example, a single exponential reconvolution fit is used to determine the lifetime of ATTO655 diluted in water.+This tutorial shows step-by-step, how to fit a selected model to a decay curve in order to get the lifetime of a measured sample. As an example, a single exponential reconvolution fit is used to determine the lifetime of ATTO655 diluted in water. 
 + 
 +{{ youtube>WupJkKpUVV8?large }}
  
- \\  
 ===== Step-by-Step Tutorial ===== ===== Step-by-Step Tutorial =====
  
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 {{ lifetime_fitting_using_the_tcpsc_fitting_script_Image_6.png?600 }} {{ lifetime_fitting_using_the_tcpsc_fitting_script_Image_6.png?600 }}
  
-**Note:** The software offers the possibility to fit the data using a n-exponential tailfit or a n-exponential reconvolution fit. A tailfit can be used when the fitted lifetimes are significantly longer than the instrument response function. Still a reconvolution fit is usually preferable, because the complete decay is fitted, while for a tailfit, the start of the fitting range is usually a bit arbitrary.\\ +**Note:** The software offers the possibility to use a n-exponential tailfit or a n-exponential reconvolution model fit. A tailfit can be used when the expected lifetimes are significantly longer than the FWHM of instrument response function. Still a reconvolution fit is usually preferable, because the complete decay, including its rising edge is analyzed, while for a tailfit, the start of the fitting range is usually a bit arbitrary.\\ 
-For explanation about the fitting model and the used equations, click on the "Help" button next to the selected model. This opens a help window containing the fitting equation and the explanation of the different parameters.+For explanation about the fitting model and the used equations, click on the "Help" button next to the selected model. This opens a help window containing the fitted model l equation and the explanation of the different parameters.
  
   * Click: "Initial Fit" (marked in orange).   * Click: "Initial Fit" (marked in orange).
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 The χ²-value approaches 1.\\ The χ²-value approaches 1.\\
 The calculated fitting values are reasonable.\\ The calculated fitting values are reasonable.\\
-Usually the fitting model with least parameters is selected.\\+ 
 +Usually the fitting model using the smallest amount of adjustable parameters is selected.\\
 => In this example, the fit is already sufficient. => In this example, the fit is already sufficient.
  
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   * Don't forget to save the data in SymPhoTime by clicking on "Save results". This generates an analysis result file (''.pqres''), which in this case is storedalong with both corresponding raw data files (''.ptu'').   * Don't forget to save the data in SymPhoTime by clicking on "Save results". This generates an analysis result file (''.pqres''), which in this case is storedalong with both corresponding raw data files (''.ptu'').
 {{ lifetime_fitting_using_the_tcpsc_fitting_script_Image_24.png }} {{ lifetime_fitting_using_the_tcpsc_fitting_script_Image_24.png }}
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howto/lifetime_fitting_using_the_tcpsc_fitting_script.txt · Last modified: 2023/09/07 22:43 by peter