Tuning supersymmetric models at the LHC: A comparative analysis at two-loop level
D. M. Ghilencea, H. M. Lee, M. Park

TL;DR
This paper compares fine-tuning measures in various supersymmetric models at the two-loop level, analyzing how they relate to experimental constraints and Higgs mass, revealing minimal tuning near 115 GeV and significant increases near 125 GeV.
Contribution
It provides a detailed two-loop level comparison of fine-tuning in multiple SUSY models, linking theoretical constraints with experimental bounds and Bayesian likelihood.
Findings
Minimal fine tuning occurs near Higgs mass 115 GeV with Delta around 10-100.
Fine tuning increases dramatically to 500-1000 near Higgs mass 125 GeV.
Different fine-tuning definitions yield similar results within data-allowed regions.
Abstract
We provide a comparative study of the fine tuning amount (Delta) at the two-loop leading log level in supersymmetric models commonly used in SUSY searches at the LHC. These are the constrained MSSM (CMSSM), non-universal Higgs masses models (NUHM1, NUHM2), non-universal gaugino masses model (NUGM) and GUT related gaugino masses models (NUGMd). Two definitions of the fine tuning are used, the first (Delta_{max}) measures maximal fine-tuning wrt individual parameters while the second (Delta_q) adds their contribution in "quadrature". As a direct result of two theoretical constraints (the EW minimum conditions), fine tuning (Delta_q) emerges as a suppressing factor (effective prior) of the averaged likelihood (under the priors), under the integral of the global probability of measuring the data (Bayesian evidence p(D)). For each model, there is little difference between Delta_q,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
