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Tutorial for Relaxation dispersion analysis r1rho fixed time recorded on varian as sequential spectra
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17:13, 6 November 2015
Using the {{caution}} template.
{{caution|This tutorial is incomplete.}}
= Intro =
This tutorial is not complete.<br>
This tutorial is based on the analysis of R1rho data, analysed in a master thesis.
from pipe_control.mol_res_spin import generate_spin_string, return_spin, spin_loop
from specific_analyses.relax_disp.data import generate_r20_key, loop_exp_frq
from specific_analyses.relax_disp.variables import MODEL_R2EFF,
MODEL_NOREX_R1RHO_FIT_R1
MODEL_NOREX_R1RHO
,
MODEL_DPL94_FIT_R1
MODEL_DPL94
,
MODEL_TP02_FIT_R1
MODEL_TP02
,
MODEL_TAP03_FIT_R1
MODEL_TAP03
,
MODEL_MP05_FIT_R1
MODEL_MP05
#########################################
# Define models which have been analysed.
#MODELS = [
MODEL_NOREX_R1RHO_FIT_R1
MODEL_NOREX_R1RHO MODEL_MP05
,
MODEL_DPL94_FIT_R1
MODEL_DPL94
,
MODEL_TP02_FIT_R1
MODEL_TP02
,
MODEL_TAP03_FIT_R1
MODEL_TAP03
,
MODEL_MP05_FIT_R1
MODEL_MP05
]MODELS = [
MODEL_NOREX_R1RHO_FIT_R1
MODEL_NOREX_R1RHO
,
MODEL_DPL94_FIT_R1
MODEL_DPL94
]
# Print results for each model.
from data_store import Relax_data_store; ds = Relax_data_store()
from pipe_control.mol_res_spin import spin_loop
from specific_analyses.relax_disp.variables import MODEL_R2EFF,
MODEL_NOREX_R1RHO_FIT_R1
MODEL_NOREX_R1RHO
,
MODEL_DPL94_FIT_R1
MODEL_DPL94
,
MODEL_TP02_FIT_R1
MODEL_TP02
,
MODEL_TAP03_FIT_R1
MODEL_TAP03
,
MODEL_MP05_FIT_R1
MODEL_MP05
#########################################
# The models to analyse.
if not hasattr(ds, 'models'):
#ds.models = [
MODEL_NOREX_R1RHO_FIT_R1
MODEL_NOREX_R1RHO
,
MODEL_DPL94_FIT_R1
MODEL_DPL94
,
MODEL_TP02_FIT_R1
MODEL_TP02
,
MODEL_TAP03_FIT_R1
MODEL_TAP03
,
MODEL_MP05_FIT_R1
MODEL_MP05
] ds.models = [
MODEL_DPL94_FIT_R1
MODEL_DPL94
]
# The number of increments per parameter, to split up the search interval in grid search.
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