[ascl:2208.024]
toise: Performance estimator for high-energy neutrino detectors

The toise framework estimates the sensitivity of natural-medium neutrino detectors such as IceCube-Gen2 to sources of high-energy astrophysical neutrinos. It uses parameterizations of a detector's fiducial area or volume, selection efficiency, energy resolution, angular resolution, and event classification efficiency to convert (surface) neutrino fluxes into mean event rates in bins of observable space. These are then used to estimate statistical quantities of interest, *e.g.*, the median sensitivity to some flux (*i.e.*, 90% upper limit assuming the true flux is zero) or the median discovery potential (*i.e.*, the flux level at which the null hypothesis would be rejected at 5 sigma in 50% of realizations).

- Code site:
- https://github.com/icecube/toise
- Used in:
- https://ui.adsabs.harvard.edu/abs/2022JHEP...06..105V
- Described in:
- https://ui.adsabs.harvard.edu/abs/2022arXiv220211120V

- Bibcode:
- 2022ascl.soft08024V

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