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One Flow to Correct Them all: Improving Simulations in High-Energy Physics with a Single Normalising Flow and a
Caio Daumann1, Mauro Donega2, Johannes Erdmann1
1RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany.
Computing and Software for Big Science
|August 13, 2024
Summary
Simulated events in high-energy physics analyses often differ from real data due to mismodelling. This study introduces a novel normalizing flow method to correct these simulation discrepancies, improving data analysis accuracy.
Area of Science:
- High-energy physics
- Computational physics
- Data analysis
Background:
- Simulated events are crucial for high-energy physics analyses.
- Simulation imperfections lead to discrepancies between simulated and observed data.
- Correcting mismodelling effects is essential for accurate analysis.
Purpose of the Study:
- To introduce a new method for correcting simulation mismodelling in high-energy physics.
- To transform multidimensional simulation distributions to match data distributions.
Main Methods:
- Utilized a normalizing flow with a boolean condition.
- Developed a correction method to adjust simulation distributions.
- Tested the method on a physics-inspired toy dataset.
Main Results:
- The normalizing flow method effectively corrected mismodelling in observables and their correlations.
- Demonstrated the transformation of simulation distributions to better match data.
Conclusions:
- The proposed method offers an effective way to address simulation-data discrepancies.
- This technique can improve the reliability of high-energy physics analyses.
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