# Single-diffractive production of dijets within the $k_t$-factorization approach

## TL;DR

This paper presents a novel calculation of single-diffractive dijet production using the $k_t$-factorization approach, incorporating unintegrated parton distributions and comparing with collinear results, to better understand diffractive processes at high energies.

## Contribution

It introduces the first $k_t$-factorization calculation for single-diffractive dijets, utilizing UPDFs from H1 diffractive PDFs and comparing with collinear NLO results.

## Key findings

- Reasonable agreement with Tevatron data for certain distributions
- Highlights the importance of gap survival factors in modeling diffractive events
- Provides detailed predictions for LHC measurements

## Abstract

We discuss single-diffractive production of dijets. The cross section is calculated within the resolved pomeron picture, for the first time in the $k_t$-factorization approach, neglecting transverse momentum of the pomeron. We use Kimber-Martin-Ryskin unintegrated parton (gluon, quark, antiquark) distributions (UPDF) both in the proton as well as in the pomeron or subleading reggeon. The UPDFs are calculated based on conventional MMHT2014nlo PDFs in the proton and H1 collaboration diffractive PDFs used previously in the analysis of diffractive structure function and dijets at HERA. For comparison we present results of calculations performed within collinear-factorization approach. Our results remaind those obtained in the NLO approach. The calculation is (must be) supplemented by the so-called gap survival factor which may, in general, depend on kinematical variables. We try to describe the existing data from Tevatron and make detailed predictions for possible LHC measurements. Several differential distributions are calculated. The $\overline{E}_T$, $\overline{\eta}$ and $x_{\bar p}$ distributions are compared with the Tevatron data. A reasonable agreement is obtained for the first two distributions. The last one requires to introduce a gap survival factor which depends on kinematical variables. We discuss how the phenomenological dependence on one kinematical variable may influence dependence on other variables such as ${\overline E}_T$ and ${\overline \eta}$. Several distributions for the LHC are shown.