Automation of the matrix element reweighting method
P. Artoisenet, V. Lema\^itre, F. Maltoni, O. Mattelaer

TL;DR
This paper introduces an automated, publicly available method for matrix element reweighting that efficiently integrates transfer functions and phase-space mappings, enhancing collider data analysis.
Contribution
It presents a fully automated procedure based on MadGraph for evaluating weights in matrix element reweighting for various processes, including beyond the Standard Model.
Findings
Demonstrates the method's effectiveness with sample applications
Enables new studies in collider physics with improved data extraction
Automates complex calculations for a wide range of processes
Abstract
Matrix element reweighting is a powerful experimental technique widely employed to maximize the amount of information that can be extracted from a collider data set. We present a procedure that allows to automatically evaluate the weights for any process of interest in the standard model and beyond. Given the initial, intermediate and final state particles, and the transfer functions for the final physics objects, such as leptons, jets, missing transverse energy, our algorithm creates a phase-space mapping designed to efficiently perform the integration of the squared matrix element and the transfer functions. The implementation builds up on MadGraph, it is completely automatized and publicly available. A few sample applications are presented that show the capabilities of the code and illustrate the possibilities for new studies that such an approach opens up.
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