EOS
Contents:
Installation
Basics
Use Cases
Theory Predictions and their Uncertainties
Parameter Inference
Simulation of Pseudo Events
Advanced Usage
Frequently Asked Questions
Python API
List of Constraints
List of Observables
List of Parameters
List of References
List of Signal PDFs
EOS
Use Cases
Use Cases
Theory Predictions and their Uncertainties
Listing the built-in Observables
Constructing and Evaluating an Observable
Estimating Theory Uncertainties
Parameter Inference
Listing the built-in Constraints
Visualizing the built-in Constraints
Defining the Statistical Analysis
Sampling from the Posterior
Simulation of Pseudo Events
Listing the built-in Probability Density Functions
Constructing a 1D PDF and Simulating Pseudo Events
Comparing the 1D PDF samples with the analytic result
Constructing a 4D PDF and Simulating Pseudo Events