Hi Sikandar,

Thanks for confirming my conclusion about the CG-CG.param.init file.

Would you be able to comment on my question regarding the Sci-Py class 
BSplines?

Best regards
Andrey

On Thursday, July 19, 2018 at 3:51:53 AM UTC+1, sikandar wrote:
>
> Hi Andrey,
>
> The initial parameter file *.param.init for the B-spline potential 
> function contains break-points in the first column and knot values in the 
> second column. 
>
> As you observed in csg-tutorial/spce/re/ example, the initial values for 
> the knot values can be set to the PMF obtained by inverting the target 
> RDFs, i.e., c_i = -kTlog(g(r_i)). I have found this approach of 
> initializing knot values work well in my RE coarse-graining experiments.
>
> Best,
> Sikandar
>
> On Wed, Jul 18, 2018 at 4:42 PM 'Andrey Brukhno' via votca <
> [email protected] <javascript:>> wrote:
>
>> Well, to reduce the burden on the developers' answering (probably obvious 
>> for them) questions, here is what I discovered by simply plotting the 
>> CG-CG.param.init file from the tutorial in csg-tutorials/spce/re/
>>
>> The CG-CG.param.init file appears to contain the -RT\ln(g_{target}(r)) 
>> data sampled at the spline knots, i.e. the first column is for the knot 
>> values (r) and the second column is the corresponding PMF in kJ/mol - see 
>> the attached plot. I am not sure what is the origin for the slight 
>> discrepancies that are seen in the graph (resampling artefacts?), but it 
>> seems that the mystery about this file has been cleared up.
>>
>> Andrey
>>
>> On Wednesday, July 18, 2018 at 10:23:27 PM UTC+1, Andrey Brukhno wrote:
>>>
>>> Wow, nobody can answer this straightaway? - I wonder: does this mean 
>>> that no non-associate of the VOTCA team ever used RE method for their 
>>> actual problem (i.e. not a tutorial case)?
>>>
>>> Anyway, may I ask those on the team now: in what relation VOTCA's 
>>> B-spline definition is with the corresponding Sci-Py class 
>>> (scipy.interpolate.BSpline)?
>>>
>>>
>>> https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.BSpline.html
>>>
>>> I also have another question: what is the actual format of the 
>>> .param.init file? - it is far from being clear in the manual, as the file 
>>> itself is never described.
>>>
>>> Thanks again.
>>>
>>> Andrey
>>>
>>> On Wednesday, July 18, 2018 at 6:51:44 PM UTC+1, Andrey Brukhno wrote:
>>>>
>>>> Hello,
>>>>
>>>> In an attempt to compare some data obtained with IBI to RE, I am trying 
>>>> to start a relative entropy iteration for the same system. However, I do 
>>>> not know how to generate the initial parameters (aka CG-CG.param.init 
>>>> file) 
>>>> for my system (which would comprise 10 different interaction types).
>>>>
>>>> Initially I thought VOTCA would be able to generate the necessary 
>>>> *.param.init files based on my initial potentials provided as *.pot.in 
>>>> (the IBI results) and/or distributions (*.dist.tgt). But it seems not to 
>>>> be 
>>>> the case, as it complaints in the inverse.log about missing *.param.init 
>>>> files.
>>>>
>>>> Can anyone suggest a workaround? - I googled and searched here but did 
>>>> not find anything regrading a practical way of creating those files (nor 
>>>> in 
>>>> the manual).
>>>>
>>>> Please note: my question is very practical - I know how fit numerical 
>>>> data with regular cubic splines, say in Grace, but VOTCA is using 
>>>> B-splines 
>>>> which are more general (which is good!) but also more involved, so I guess 
>>>> the coefficients of cubic splines cannot be used as initial "guess" for 
>>>> the 
>>>> RE iteration. 
>>>>
>>>> I essentially need to know what software could do that - ?
>>>>
>>>> Thanks in advance!
>>>>
>>>> Andrey
>>>>
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