This follows on from the post of: http://thread.gmane.org/gmane.science.nmr.relax.devel/3882 Now in relax, the 'No Rex', 'LM63', and 'CR72' models for CPMG-type experiments - respectively no chemical exchange, the Luz Meiboom 1963, and the Carver and Richards 1972 models - can be optimised successfully. Below is a comparison of the results from relax, NESSY, CPMGFit, and ShereKhan. The NESSY chi-squared values are smaller most likely due to a difference in how peak intensity errors are handled within the program. To note: relax and ShereKhan, at least for these models, consistently produce the same results with slightly better accuracy than CPMGFit. Regards, Edward The no exchange model ===================== Residue :70 ----------- Param relax NESSY CPMGFit ShereKhan R2 (500) 10.563 11.400 - - R2 (800) 16.141 16.823 - - chi2 3427.907 860.148 - - Residue :71 ----------- Param relax NESSY CPMGFit ShereKhan R2 (500) 5.830 - - - chi2 47.357 - - - The LM63 model ============== Residue :70 ----------- Param relax NESSY CPMGFit ShereKhan R2 (500) 6.806 7.639 6.866 6.806 R2 (800) 6.679 7.387 6.866 6.679 phi 0.310 0.259 1.510e-04 0.310 kex 4763.249 3906.180 2.342 4763.197 tau 4.199e-05 5.120e-05 0.427 4.199e-05 chi2 106.393 78.223 106.471 106.393 Residue :71 ----------- Param relax NESSY CPMGFit ShereKhan R2 (500) 4.926 - 4.926 4.926 phi 0.059 - 2.963e-05 0.059 kex 2544.645 - 1.271 2544.636 tau 7.860e-04 - 0.786 7.860e-04 chi2 1.442 - 1.442 1.442 The CR72 model ============== Residue :70 ----------- Param relax NESSY CPMGFit ShereKhan R2 (500) 7.011 7.236 6.263 7.011 R2 (800) 9.465 10.027 6.263 9.465 pA 0.990 0.989 0.978 0.990 dw 5.577 5.373 0.937 5.577 kex 1765.993 1522.059 1.774 1765.988 chi2 18.450 7.701 65.237 18.450 Residue :71 ----------- Param relax NESSY CPMGFit ShereKhan R2 (500) 4.978 - 4.983 4.978 pA 0.997 - 0.994 0.997 dw 4.460 - 0.757 4.461 kex 1879.584 - 0.896 1879.618 chi2 1.379 - 1.382 1.379