PyUnfold¶
PyUnfold is a Python package for implementing iterative unfolding [1]
PyUnfold provides an unfolding toolkit for members of all scientific disciplines with a simple, user-friendly API. Implementing an unfolding with PyUnfold only takes a few lines of code.
from pyunfold import iterative_unfold
# Observed distributions
data = [100, 150]
data_err = [10, 12.2]
# Response matrix
response = [[0.9, 0.1],
[0.1, 0.9]]
response_err = [[0.01, 0.01],
[0.01, 0.01]]
# Detection efficiencies
efficiencies = [1, 1]
efficiencies_err = [0.01, 0.01]
# Perform iterative unfolding
unfolded_result = iterative_unfold(data=data,
data_err=data_err,
response=response,
response_err=response_err,
efficiencies=efficiencies,
efficiencies_err=efficiencies_err)
Getting Started
User Guide
Questions & Bug Reports¶
PyUnfold is an open-source project and contributions are always welcome from anyone. If you have a question, would like to propose a new feature, or submit a bug report, feel free to open up an issue on our issue tracker on GitHub.
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