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Following the work from CMUG WP5.3 to create a diagnostic with CCI LST data, issue #1896 and branch ESACCI-LST, here we look to include the uncertainty information that the CCI files include.
As be…
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Challenge / problem:
- `sens.py` was copied from Pyomo, and duplicated in IDAES uncertainty toolbox to get it work
- `sens.py` has since been updated in Pyomo to improve code clarity and style
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@pkienzle :
For polarization correction in SANS, they need to be able to propagate errors through matrix multiply and inversion (looks like this is NotImplemented in dataflow.lib.uncertainty.Uncertai…
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There are many many different calculations one could put into the ratio plot, and while it's great to have the flexibility and configurability of named strings such as `comparison="pull"` , it would a…
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Somehow related to #94, I was wondering if you think it could be possible to implement the error propagation (on fitting parameters, experimental uncertainties if present/enabled) to the calculated qu…
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It's time to take stock of where we are and dream about what's next. Here's a list of some things that might be next targets.
- ~~Proper integration of KL eigenfunctions and boundary conditions (@…
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This is to detail the work of @morobking and @axel-lauer for work package 4.2 of CMUG Phase 2.
### Outline
Starting with the LST_CCI dataset the updated methodology in the latest dataset version w…
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Is it hard to make measurements support data with non-`missing` value, but `missing` uncertainty? Data with missing uncertainty is quite different from the data with zero uncertainty, so it is good to…
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Brought up by @hdembinski in the E5 chat, we should evaluate if we want to switch from teaching the curve_fit / uncertainties combination to using `iminuit` (`iminuit.utils.propagate` for uncertainty …
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We have a paper about uncertainty propagation in the Kalman-Filter and the implementation and should introduce the underlying algorithms into PyDynamic's `uncertainty` package.