11–15 Mar 2024
Charles B. Wang Center, Stony Brook University
US/Eastern timezone

McMule -- a Monte Carlo generator for low energy processes

14 Mar 2024, 14:50
20m
Lecture Hall 1 ( Charles B. Wang Center, Stony Brook University )

Lecture Hall 1

Charles B. Wang Center, Stony Brook University

100 Circle Rd, Stony Brook, NY 11794
Oral Track 3: Computations in Theoretical Physics: Techniques and Methods Track 3: Computations in Theoretical Physics: Techniques and Methods

Speaker

Yannick Ulrich (Universitaet Bern (CH))

Description

McMule, a Monte Carlo for MUons and other LEptons, implements many major QED processes at NNLO (eg. $ee\to ee$, $e\mu\to e\mu$, $ee\to\mu\mu$, $\ell p\to \ell p$, $\mu\to\nu\bar\nu e$) including effects from the lepton masses. This makes McMule suitable for predictions for low-energy experiments such as MUonE, CMD-III, PRad, or MUSE.

Recently, McMule gained the ability to generate events at NNLO directly rather than just differential distributions. To avoid negative event weights it employs cellular resampling (2109.07851 & 2303.15246) directly as part of the generation step which further reduces the fraction of negative weights.

Significance

1) McMule caters to many low-energy experiments whose accuracy requires NNLO-QED predictions as part of the full simulation. This requires an NNLO event generator.
2) McMule offers the first demonstration of cellular resampling at NNLO as well as the benefits it allows when part of the event generation rather than used as a postprocessing step.

References

https://arxiv.org/abs/2007.01654
https://mcmule.readthedocs.io/

Primary author

Yannick Ulrich (Universitaet Bern (CH))

Presentation materials