Talk:Regressing structure function against bin separation: Difference between revisions
From Atomix
Yuengdjern (talk | contribs) No edit summary |
Yuengdjern (talk | contribs) No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
[[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.
