poissonregime
Poisson error bars for low count statistics, detection significances.
About
Low count statistics is not that hard. It's just not Gaussian.
This package can answer the following questions:
- Given k detected objects, what are the uncertainties on the true number of objects? (poissonregime.uncertainties_rate)
- Given k "hits" out of a sample of n tries, what is the fraction and its uncertainty? (poissonregime.uncertainties_fraction)
- What is the significance of k detections, given that I expect B background events? (poissonregime.significance) * what if I measure the background events from counts in a "off" region? * what if I have additional systematic uncertainty?
- What is the probability distribution on the event rate, given a measured background rate? (poissonregime.posterior)
You can help by testing poissonregime and reporting issues. Code contributions are welcome. See the Contributing page.
Usage
Read the full documentation at:
https://johannesbuchner.github.io/poissonregime/
Licence
MIT.
Other projects
See also:
