13–17 May 2024
University of Pittsburgh / Carnegie Mellon University
US/Eastern timezone

ARCANE Reweighting: A Solution to the Negative Weights Problem in Collider Monte Carlo

13 May 2024, 16:00
15m
David Lawrence Hall 105 (University of Pittsburgh)

David Lawrence Hall 105

University of Pittsburgh

Computing, Analysis Tools and Data Handling Computing, Analysis Tool and Data Handling

Speaker

Prasanth Shyamsundar (Fermi National Accelerator Laboratory)

Description

In this talk, I will introduce ARCANE reweighting, a new Monte Carlo technique to solve the negative weights problem in collider event generation. We will see a demonstration of the technique in the generation of $(e^+ e^- \longrightarrow q\bar{q} + 1~\mathrm{jet})$ events under the MC@NLO formalism.

In this scenario, ARCANE can reduce the fraction of negative weights by redistributing the contributions of $\mathbb{H}$- and $\mathbb{S}$-type events a) without introducing any biases in the distribution of physical observables and b) without requiring any changes to the matching and merging prescriptions used.

I believe that the technique can be applied to other processes of interest like $(q\bar{q}\longrightarrow W + \mathrm{jets})$ and $(q\bar{q}\longrightarrow t\bar{t}+\mathrm{jets})$ as well.

Author

Prasanth Shyamsundar (Fermi National Accelerator Laboratory)

Presentation materials