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Ins: HiRelated to the IMAP-Hi instrumentRelated to the IMAP-Hi instrumentIns: LoRelated to the IMAP-Lo instrumentRelated to the IMAP-Lo instrumentIns: UltraRelated to the IMAP-Ultra instrumentRelated to the IMAP-Ultra instrumentPhase E: Parent IssuePhase E major task indicatorPhase E major task indicatorenhancementNew feature or requestNew feature or request
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'Another thing that seems important to have is a "goodness of fit" metric in map form, so that we can visually see how good the non-linear regression fit is on a per pixel basis. Whether it be R-squared or Chi-squared (Bob recommends Chi-Squared), doesn’t matter to me as long as there’s a way to tell how good the fit is.' (Nick Dutton). In this context, we should also add an uncertainty for the spectral index scalar – there is one for the index, just not for the scalar – and document how these uncertainties are derived.
Requirements
- Uncertainty on scalar
- Map variable for goodness-of-fit
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Ins: HiRelated to the IMAP-Hi instrumentRelated to the IMAP-Hi instrumentIns: LoRelated to the IMAP-Lo instrumentRelated to the IMAP-Lo instrumentIns: UltraRelated to the IMAP-Ultra instrumentRelated to the IMAP-Ultra instrumentPhase E: Parent IssuePhase E major task indicatorPhase E major task indicatorenhancementNew feature or requestNew feature or request
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Todo