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Tutorial for sorting data stored as numpy to on-resonance R1rho analysis

102 bytes added, 22:38, 14 November 2015

Specifically, the numpy shapes of the data is:

# For 600MHz

## residues (1, 60)

## rates (60, 10)

## RFfields (1, 10)

# For 950Mhz

## residues (1, 61)

## rates (61, 19)

## RFfields (1, 19)

[[File:Fig1 Palmer Massi 2006.png|thumb|center|upright=3|Try to reproduce Figure 1.]]

== See also ==

[[Category:Tutorials]]

[[Category:Relaxation dispersion analysis]]

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