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:
Licence
MIT.
Other projects
See also:
Release Notes
0.1.0 (2021-06-11)
First version
1 maintainer
Metadata
1 maintainer
Release files for poissonregime 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| poissonregime-0.1.0.tar.gz | 60.7 kB | Details |
Release files / poissonregime-0.1.0.tar.gz
| Download URL | poissonregime-0.1.0.tar.gz |
|---|---|
| Size | 60.7 kB |
| Tags | Source |
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