Talk:Regressing structure function against bin separation: Difference between revisions

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:[[User:Yuengdjern|Yuengdjern]] ([[User talk:Yuengdjern|talk]])  In the second bullet point for the centre-difference scheme,  is there a typo?  Should it say 'combining the data from all beams' instead of ' ....all bins'?
[[User:Yuengdjern|Yuengdjern]] ([[User talk:Yuengdjern|talk]])  In the second bullet point for the centre-difference scheme,  is there a typo?  Should it say 'combining the data from all beams' instead of ' ....all bins'? But then this just gives a variable that matches EPSI_FINAL dimensions...
 
[[User:Yuengdjern|Yuengdjern]] ([[User talk:Yuengdjern|talk]] Confusing alternative regression method for bin-center differenced Dll is moved here until further notice:
* by combining the data for all of the bins, with each separation distance having a <math>D_{ll}(n, \delta)</math> value for each bin, with the regression again ultimately yielding a single <math>\varepsilon</math> value for the data segment.

Latest revision as of 15:57, 30 May 2022

Yuengdjern (talk) In the second bullet point for the centre-difference scheme, is there a typo? Should it say 'combining the data from all beams' instead of ' ....all bins'? But then this just gives a variable that matches EPSI_FINAL dimensions...

Yuengdjern (talk Confusing alternative regression method for bin-center differenced Dll is moved here until further notice:

  • by combining the data for all of the bins, with each separation distance having a [math]\displaystyle{ D_{ll}(n, \delta) }[/math] value for each bin, with the regression again ultimately yielding a single [math]\displaystyle{ \varepsilon }[/math] value for the data segment.