pisa
pisa copied to clipboard
Monte Carlo-based data analysis
All of the examples and documentation seem to focus on producing analysis-level histograms, specifically in energy and coszenith. I could not find an example showing how to simply get event-wise...
Is it intended that there are multiple (possible duplicate) definitions of the same likelihoods [stats.py](pisa/utils/stats.py), [likelihood_functions.py](pisa/utils/likelihood_functions.py), and [llh_defs](pisa/utils/llh_defs)? Maybe these could be streamlined/combined.
Fails at ```python from ROOT import RooUnfoldResponse, RooUnfoldBayes ``` Add info to `INSTALL.md` about optional dependencies (and which version(s) are required); add note in `roounfold.py` about the dependencies. Include any...
Also, apparently specific version(s) of ROOT and/or numpy might be required to get `root_numpy` to install. Please add info on which version(s) are "legal" to `INSTALL.md` and make some note...
Hey All, This will be major work to make this PR, but this is absolutely critical! Please, everyone who worked on this branch start looking into this.
Hi, I have tried to reproduce pisa results with my own code using vanilla prob3++ and just including detector systematics. I attach the 90% CL contours. After inspecting the spectra...
Currently there is (unsafe) ad hoc caching implemented for the KDE stage (PR #689). We should make this safer, and on a more global level. Ideas: I think cleanest would...
After setting a distribution maker's parameters to new `Param` objects, `fit_hypo` may discard these parameters before fitting. One example of how this could occur is this: 1. Conduct a fit...
Change to python 3 print function instead of carriage return
NumbaDeprecationWarning: The 'target' keyword argument is deprecated