Upper Limits

Warning

This page is a work in progress. See jinwu.core.upperlimit for the complete API.

JinWu provides a unified upper limit framework:

• UpperLimit class wrapping chain-based and error-based methods

• Supports multiple confidence levels (68%, 90%, 95%, 99%)

• Feldman-Cousins and Bayesian approaches

• Joint multi-observation significance via Li & Ma (1983)

Example

from jinwu.core.upperlimit import UpperLimit

ul = UpperLimit(delta_fit_stat=2.706)  # 90% CL
result = ul.from_chain("chain.fits", param_index=4)
print(f"90% CL upper limit: {result.limit:.2e}")