# Jet gap jet events at Tevatron and LHC

## TL;DR

This paper studies jet gap jet events in hadron collisions, demonstrating that BFKL predictions align well with Tevatron data and providing testable predictions for the LHC using an improved Monte Carlo approach.

## Contribution

It introduces a renormalisation-group improved NLL BFKL kernel into HERWIG, enhancing the accuracy of jet gap jet event simulations.

## Key findings

- BFKL predictions agree with Tevatron data
- Predictions for LHC events are provided
- Monte Carlo implementation improves modeling accuracy

## Abstract

We investigate diffractive events in hadron-hadron collisions, in which two jets are produced and separated by a large rapidity gap. Using a renormalisation-group improved NLL kernel implemented in the HERWIG Monte Carlo program, we show that the BFKL predictions are in good agreement with the Tevatron data, and present predictions which could be tested at the LHC.