[Hadstruct] [EXTERNAL] Further work with NNPDF

[Joseph Karpie]

Savvas is right that when I said "when they are finalized" I was thinking
after publication.

On Tue, Sep 22, 2020 at 1:06 PM Savvas Zafeiropoulos <savvaslz at gmail.com>
wrote:

> I think Joe's suggestion is to do something with NNPDF after we publish
> our distillation data alone as hadstruc...
> From both the heavy and lighter pion masses...
>
> On Tue, Sep 22, 2020 at 8:03 PM Konstantinos Orginos <kostas at jlab.org>
> wrote:
>
>> In my view we should first let Colin write the paper publish it and then
>> discuss further collaboration with NNPDF.
>> By  adding new authors to a paper that is nearly complete is not in the
>> best interests of  our own graduates students who  worked hard on this
>> project
>> and deserve a first take in analysing and publishing the data without
>> external interference.
>>
>> Cheers,
>>
>> Kostas.
>>
>>
>> > On Sep 22, 2020, at 1:56 PM, Joseph Karpie <jkarpie at gmail.com> wrote:
>> >
>> > Hey everyone,
>> >
>> > As some of you may know, a few of us are wrapping up a paper with Luigi
>> Del Debbio and Tommaso Giana (NNPDF people) where they reanalyse our
>> Gaussian smeared results using their tools. Tommaso sent around a number of
>> suggestions for things to begin studying next, such as studying fit forms
>> and using only high or low Ioffe time data.
>> >
>> > They have experience using sophisticated methods to perform the inverse
>> and ways of accounting for systematic errors which can be very useful to
>> us. I think we should discuss Friday what future work we would like to be
>> doing with them.
>> >
>> > For example, I'd like to do a comparison of our Gaussian smeared
>> results with the distillation results that have been made on the same
>> ensemble when they are finalized. My thought is that the data are more or
>> less consistent, but Colin's fits appear to have significantly better
>> agreement with pheno results in the x > 0.5 region than my own fits or
>> Tommaso's NNPDF fits to the Gaussian smeared data. I want to understand
>> what difference between the results created this dramatic improvement. I
>> believe working with NNPDF would make this task significantly easier due to
>> their experience and tools.
>> >
>> > Best,
>> > Joe
>> > _______________________________________________
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>>
>>
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