SciPost Submission Page
Differentiable MadNIS-Lite
by Theo Heimel, Olivier Mattelaer, Tilman Plehn, Ramon Winterhalder
Submission summary
| Authors (as registered SciPost users): | Theo Heimel · Tilman Plehn · Ramon Winterhalder |
| Submission information | |
|---|---|
| Preprint Link: | https://arxiv.org/abs/2408.01486v2 (pdf) |
| Date accepted: | 2024-12-04 |
| Date submitted: | 2024-11-20 08:39 |
| Submitted by: | Winterhalder, Ramon |
| Submitted to: | SciPost Physics |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
|
| Approach: | Computational |
Abstract
Differentiable programming opens exciting new avenues in particle physics, also affecting future event generators. These new techniques boost the performance of current and planned MadGraph implementations. Combining phase-space mappings with a set of very small learnable flow elements, MadNIS-Lite, can improve the sampling efficiency while being physically interpretable. This defines a third sampling strategy, complementing VEGAS and the full MadNIS.
Author indications on fulfilling journal expectations
- Provide a novel and synergetic link between different research areas.
- Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
- Detail a groundbreaking theoretical/experimental/computational discovery
- Present a breakthrough on a previously-identified and long-standing research stumbling block
Author comments upon resubmission
Current status:
Editorial decision:
For Journal SciPost Physics: Publish
(status: Editorial decision fixed and (if required) accepted by authors)
Reports on this Submission
Report
The authors have answered all the raised questions of my previous report and have implemented the requested changes or corrections in a satisfactory way.
Recommendation
Publish (easily meets expectations and criteria for this Journal; among top 50%)
Report
The authors have answered all the raised questions of the previous report and have implemented the requested changes or corrections.
Recommendation
Publish (easily meets expectations and criteria for this Journal; among top 50%)