Fitting Pulsed NMR Data for Spin-Lattice Relaxation Time (T1)

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SUMMARY

The discussion focuses on fitting pulsed NMR data to calculate the spin-lattice relaxation time (T1) using the function V(t) = V_0*(1 - 2*exp(-t/T1)). The user attempted to use ROOT for this fitting but encountered difficulties. It was advised to restrict the fitting range to t>=50 or consider alternative fitting functions, as the initial function may not provide accurate results for the measured data.

PREREQUISITES
  • Understanding of pulsed NMR experiments
  • Familiarity with the spin-lattice relaxation time (T1)
  • Proficiency in using ROOT software for data analysis
  • Knowledge of exponential fitting functions
NEXT STEPS
  • Research alternative fitting functions for NMR data analysis
  • Learn how to restrict fitting ranges in ROOT
  • Explore the use of Python libraries like SciPy for curve fitting
  • Investigate the implications of fitting range on data accuracy
USEFUL FOR

Researchers and scientists working with NMR data, data analysts using ROOT for fitting, and anyone involved in the study of spin-lattice relaxation times in physical chemistry or materials science.

PhysicsGente
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Hello, I didn't know where else to post this so here it goes ...

I have collected data from a pulsed NMR experiment to calculate the value of the spin-lattice relaxation time (T1). Now I'm asked to fit the data using a function of the form
V(t) = V_0*(1 - 2*exp(-t/T1)). But I'm not really sure how to fit it. Is there any software out there I can use to fit this data with that function? I was trying to fit it using ROOT but I did not succeed ;(.

The data is here, https://docs.google.com/open?id=0BwZLQ_me50B8VExfYU1GX2dyV3M
 
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ROOT can fit that, but you should restrict the fitting range to t>=50 or use a different fit function (##|V(t)|## looks like a good idea), otherwise the result is meaningless. Even there, I doubt that the function gives a good approximation to the measured values.
 

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