Don't bother - that'll just waste time.  As long as the values are
similar to the previous ones and not completely different, it'll be
ok.

Regards,

Edward



On 17 June 2014 11:13, Troels Emtekær Linnet <[email protected]> wrote:
> Should I then make a grid search for all values, and do a new
> analysis?
>
>
>
> 2014-06-17 11:08 GMT+02:00 Edward d'Auvergne <[email protected]>:
>>
>> Ah, that is probably because of a bug you fixed
>> (https://gna.org/bugs/?21954).  The results were generated before this
>> bug was fixed, so now they will be slightly different as the
>> test_suite/shared_data/dispersion/Hansen/base_pipe.bz2 and
>> test_suite/shared_data/dispersion/Hansen/r2eff_pipe.bz2 files have
>> been updated.  From the log file
>> test_suite/shared_data/dispersion/Hansen/relax_results/relax_disp.log,
>> you can see that the results are not too different.  So just change
>> the values at the start of the test to the final optimised values, and
>> then change the values in the assertAlmostEqual() checks to the final
>> values.  I'll update the precision of these checks after running this
>> on different OSes and 32-bit vs. 64-bit systems.
>>
>> You can probably see that this is not ideal, but the only 2 other
>> programs that support this 3-site model are Art Palmer's CPMGFit, and
>> Michael Bieri's NESSY.  But CPMGFit has the same R20 values for all
>> fields, so we cannot compare.  And the NESSY model number 4, which is
>> this model, is not fully implemented and functional.  So we have
>> nothing to compare to.  I have created synthetic data in
>> test_suite/shared_data/dispersion/lm63_3site which was to be used for
>> a system test, but I don't know why that is not in a test :S  There is
>> even a relax script at
>> test_suite/shared_data/dispersion/lm63_3site/relax_results/relax_disp.py
>> which can be converted into a single model optimisation.  I must have
>> been so busy with the paper drafting that I simply forgot to convert
>> this to a system test.
>>
>> Regards,
>>
>> Edward
>>
>> On 17 June 2014 09:18,  <[email protected]> wrote:
>> > Author: tlinnet
>> > Date: Tue Jun 17 09:18:24 2014
>> > New Revision: 24009
>> >
>> > URL: http://svn.gna.org/viewcvs/relax?rev=24009&view=rev
>> > Log:
>> > Added systemtest for model LM63 3 site.
>> >
>> > According to results folder in:
>> > test_suite/shared_data/dispersion/Hansen/relax_results/LM63 3-site
>> >
>> > This should pass.
>> >
>> > But i doesnt?
>> >
>> > Modified:
>> >     trunk/test_suite/system_tests/relax_disp.py
>> >
>> > Modified: trunk/test_suite/system_tests/relax_disp.py
>> > URL:
>> > http://svn.gna.org/viewcvs/relax/trunk/test_suite/system_tests/relax_disp.py?rev=24009&r1=24008&r2=24009&view=diff
>> >
>> > ==============================================================================
>> > --- trunk/test_suite/system_tests/relax_disp.py (original)
>> > +++ trunk/test_suite/system_tests/relax_disp.py Tue Jun 17 09:18:24 2014
>> > @@ -2492,6 +2492,70 @@
>> >          self.assertAlmostEqual(spin71.phi_ex, 0.0553787828347638)
>> >          self.assertAlmostEqual(spin71.kex/1000, 2781.72293906248/1000)
>> >          self.assertAlmostEqual(spin71.chi2, 17.0776399916287)
>> > +
>> > +
>> > +    def test_hansen_cpmg_data_to_lm63_3site(self):
>> > +        """Optimisation of Dr. Flemming Hansen's CPMG data to the LM63
>> > dispersion model.
>> > +
>> > +        This uses the data from Dr. Flemming Hansen's paper at
>> > http://dx.doi.org/10.1021/jp074793o.  This is CPMG data with a fixed
>> > relaxation time period.
>> > +        """
>> > +
>> > +        # Base data setup.
>> > +        self.setup_hansen_cpmg_data(model='LM63 3-site')
>> > +
>> > +        # Alias the spins.
>> > +        spin70 = return_spin(":70")
>> > +        spin71 = return_spin(":71")
>> > +
>> > +        # The R20 keys.
>> > +        r20_key1 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ,
>> > frq=500e6)
>> > +        r20_key2 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ,
>> > frq=800e6)
>> > +
>> > +        ## Set the initial parameter values.
>> > +        spin70.r2 = {r20_key1: 7.570370921220954, r20_key2:
>> > 8.694446951909107}
>> > +        spin70.phi_ex_B = 0.14872003058250227
>> > +        spin70.phi_ex_C = 0.1319419923472704
>> > +        spin70.kB = 4103.672910444741
>> > +        spin70.kC = 7029.001690726248
>> > +        spin71.r2 = {r20_key1: 5.1347793381636, r20_key2:
>> > 7.156573986051575}
>> > +        spin71.phi_ex_B = 0.04013553485505605
>> > +        spin71.phi_ex_C = 0.020050748406928887
>> > +        spin71.kB = 4045.3007136121364
>> > +        spin71.kC = 3586.38798270774
>> > +
>> > +        #self.interpreter.relax_disp.r20_from_min_r2eff(force=False)
>> > +        #self.interpreter.grid_search(lower=None, upper=None, inc=41,
>> > constraints=True, verbosity=1)
>> > +
>> > +        # Low precision optimisation.
>> > +        self.interpreter.minimise(min_algor='simplex',
>> > line_search=None, hessian_mod=None, hessian_type=None, func_tol=1e-25,
>> > grad_tol=None, max_iter=10000000, constraints=True, scaling=True,
>> > verbosity=1)
>> > +
>> > +        # Printout.
>> > +        print("\n\nOptimised parameters:\n")
>> > +        print("%-20s %-20s %-20s" % ("Parameter", "Value (:70)", "Value
>> > (:71)"))
>> > +        print("%-20s %20.15g %20.15g" % ("R2 (500 MHz)",
>> > spin70.r2[r20_key1], spin71.r2[r20_key1]))
>> > +        print("%-20s %20.15g %20.15g" % ("R2 (800 MHz)",
>> > spin70.r2[r20_key2], spin71.r2[r20_key2]))
>> > +        print("%-20s %20.15g %20.15g" % ("phi_ex_B", spin70.phi_ex_B,
>> > spin71.phi_ex_B))
>> > +        print("%-20s %20.15g %20.15g" % ("phi_ex_C", spin70.phi_ex_C,
>> > spin71.phi_ex_C))
>> > +        print("%-20s %20.15g %20.15g" % ("kB", spin70.kB, spin71.kB))
>> > +        print("%-20s %20.15g %20.15g" % ("kC", spin70.kC, spin71.kC))
>> > +        print("%-20s %20.15g %20.15g\n" % ("chi2", spin70.chi2,
>> > spin71.chi2))
>> > +
>> > +        # Checks for residue :70.
>> > +        #self.assertAlmostEqual(spin70.r2[r20_key1], 6.74362294539099)
>> > +        #self.assertAlmostEqual(spin70.r2[r20_key2], 6.57406797067481,
>> > 6)
>> > +        self.assertAlmostEqual(spin70.phi_ex_B, 0.148720030582502)
>> > +        self.assertAlmostEqual(spin70.phi_ex_C, 0.13194199234727)
>> > +        self.assertAlmostEqual(spin70.kB/1000, 4103.67291044474/1000,
>> > 6)
>> > +        self.assertAlmostEqual(spin70.kC/1000, 7029.00169072625/1000,
>> > 6)
>> > +        #self.assertAlmostEqual(spin70.chi2, 363.534044873483)
>> > +
>> > +        # Checks for residue :71.
>> > +        #self.assertAlmostEqual(spin71.r2[r20_key1], 5.00776657712558)
>> > +        self.assertAlmostEqual(spin71.phi_ex_B, 0.040135534855056)
>> > +        self.assertAlmostEqual(spin71.phi_ex_C, 0.0200507484069289)
>> > +        self.assertAlmostEqual(spin71.kB/1000, 4045.30071361214/1000)
>> > +        self.assertAlmostEqual(spin71.kC/1000, 3586.38798270774/1000)
>> > +        #self.assertAlmostEqual(spin71.chi2, 17.0776399916287)
>> >
>> >
>> >      def test_hansen_cpmg_data_to_ns_cpmg_2site_3D(self):
>> >
>> >
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