Fluctuations and Selection Bias in 5 and 13 TeV p-p Collisions: Where are the jets?

TL;DR

This paper applies a two-component model to ALICE p-p collision data at 5 and 13 TeV, analyzing jet contributions and selection bias to better understand high-multiplicity collision spectra.

Contribution

It introduces a detailed two-component model analysis of p-p collision spectra, accurately separating jet and nonjet contributions across the entire momentum range.

Findings

Jet contributions are quantitatively separated from nonjet components.

Selection bias impacts the interpretation of high-multiplicity events.

Model validity is confirmed through statistical significance of data-model differences.

Abstract

The ALICE collaboration recently reported high-statistics $\bf p_t$ spectra from 5 TeV and 13 TeV p-p collisions with intent to determine the role of jets in high-multiplicity collisions. In the present study a two-component (soft + hard) model (TCM) of hadron production in p-p collisions is applied to ALICE $\bf p_t$ spectra. As in previous TCM studies of A-B collision systems jet and nonjet contributions to $\bf p_t$ spectra are accurately separated over the entire $\bf p_t$ acceptance. The statistical significance of data-model differences is established leading to insights concerning selection bias and spectrum model validity.