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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.
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It would be very useful to be able to work with py-moneyed, pint, and uncertainties. Has someone already accomplished this or similar (maybe by integrating statistical distributions)?
- https://git…
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At present the invariant calculation has several limitations, including requiring a knowledge of the contrast term from which it computes the volume fraction but not the other way round. Other problem…
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OpenStax text on Significant Figures
https://openstax.org/books/university-physics-volume-1/pages/1-6-significant-figures
> We then determine the average weight of the 5-lb bag of apples is 5.1 ± …
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Mathieu now that D47crunch also handles D48 crunching, would you consider changing the name to something mass neutral, like clumpy? I.e.
```python
import numpy as np
import clumpy as cp
````
Or…
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The unumpy vectorized functions are *extremely* slow. This seems to be because the uncertainty propagation seems to be repeated for every element rather than simply being done once.
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Add your ideas for KPP 4.0.0 here. Everything we don't have the time to work on now but may be a nice addition in the future...
- [ ] Replace all BLAS/LAPACK functions (WAXPY, WSCAL, etc.) in integ…
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# What kind of data to parse
We expect time-series of observables, correlation matrices and so on but *not* datafiles which need to be parsed.
Provide functions for calculating observables from fu…
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Would be nice to add as well the simple propagation of error style uncertainty: https://github.com/CoffeaTeam/coffea/blob/84e805773c1fac32fc79bc9373ec324552371244/coffea/hist/plot.py#L82
_Originall…