Hi, I have a question concerning Rex and its magnetic field dependence vs how it is treated in relax.
Rex, the contribution from us-ms motions on the transversal relaxation rate (R2), is scaled quadratically with the magnetic field. When doing an analysis with relax, one gets a value for Rex. When working with data from multiple magnetic fields, I realized that the dataset to which this Rex is associated changes as a function of the order with which datasets are input into relax. In fact, the Rex value is associated with the first dataset input. Here are some results I had with the full_analysis.py script modified to minimize only tm3 (for a rapid test) : ================================================================ Input_order Association Rex__residue_25 =========== =========== ======================= 500-600-800 500 7.0885287044805514 500-800-600 500 7.0885287044182812 600-800-500 600 2.7486344907905164e-13 600-500-800 600 2.7486344897092221e-13 800-500-600 800 -2.1641012543284559e-17 800-600-500 800 -5.3169783493616144e-21 ================================================================ As you can see, the Rex value changes with the input order. Most change comes from the first dataset input, but there is also a small influence from the subsequent datasets input... Is this normal ? Would it be better to always input datasets so Rex gets associated with the highest magnetic field ? With the lowest ? Thanks for clarifying this issue ! Cheers, Séb -- Sebastien Morin Etudiant au PhD en biochimie Laboratoire de resonance magnetique nucleaire Dr Stephane Gagne CREFSIP (Universite Laval, Quebec, CANADA) 1-418-656-2131 #4530 _______________________________________________ relax (http://nmr-relax.com) This is the relax-users mailing list [email protected] To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-users
