pisa
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icecube
Monte Carlo-based data analysis
Updated the readme file with the documentation link for analysis.py
* left out `likelihoods_1D_test.py` from list of console scripts, cf. https://github.com/icecube/pisa/issues/799 (will make dedicated issue instead) * fixme note in setup.py because pipeline.py script is currently unusable (irrespective of pipeline...
See https://github.com/icecube/pisa/blob/a752eaf0f7d75c3d002d3c8ccde4a100ca1bf594/setup.py#L311 and https://setuptools.pypa.io/en/latest/userguide/entry_point.html. Console scripts that are non-existent (test by running each command) and should be removed: * `pisa-analysis` * `pisa-postproc` * `pisa-fit_discrete_sys` and `pisa-fit_discrete_sys_nd` * `pisa-make_asymmetry_plots` * `pisa-make_systematic_variation_plots`...
When defining a multidimensional binning we combine one dimensional binnings in a homogeneous grid. So if we for example bin our data in energy, coszen, and PID, we have to...
Currently, it is not exactly obvious to the user which sequence of stage.services can be combined into one working pipeline configuration without digging through a lot of code. While each...
Trying to access the [`representation` attribute](https://github.com/icecube/pisa/blob/a752eaf0f7d75c3d002d3c8ccde4a100ca1bf594/pisa/core/container.py#L62) of a newly instantiated `ContainerSet` results in: `AttributeError: 'ContainerSet' object has no attribute '_representation'. Did you mean: 'representation'?` because `self._representation` is [not assigned a...
At the moment we only use the correlation between Daemonflux parameters. There is no general method that allows for parameters to be correlated. That would require to pass a covariance...
Expected to be Python 3.11 and 3.12 compatible. Some tests done after updating versioneer (see https://github.com/icecube/pisa/issues/779#issuecomment-2289994626): * successful installation of PISA with Python 3.10.14, version number returned by [`pisa.__version__`](https://github.com/icecube/pisa/blob/master/pisa/__init__.py#L84) agrees...
One might be inclined to use the above python releases because [the installation guide](https://github.com/icecube/pisa/blob/master/INSTALL.md) states that "you can choose your preferred version of python >= 3.10". This is followed by...
At the moment we focus on the frequentist approach. To also support Bayesian analyses we would mainly need some sort of MCMC sampling tool and its integration into the analysis...