Supersymmetric Gauged B-L Model of Dark Matter and Fine Tuning
Luigi Delle Rose, Shaaban Khalil, Simon J. D. King, Carlo Marzo,, Stefano Moretti, Cem S. Un

TL;DR
This paper compares fine-tuning and dark matter candidates in the B-L Supersymmetric Standard Model and MSSM, finding BLSSM offers more viable dark matter options with similar fine-tuning levels across different energy scales.
Contribution
It provides a comparative analysis of fine-tuning and dark matter candidates in BLSSM versus MSSM at low and high scales, highlighting the broader dark matter parameter space in BLSSM.
Findings
BLSSM has a wider viable dark matter parameter space.
Fine-tuning levels are similar in both models across scales.
MSSM's dark matter candidate space is highly constrained.
Abstract
We investigate how the Fine-Tuning (FT) in the B-L Supersymmetric Standard Model (BLSSM) compares to the Minimally Supersymmetric Standard Model (MSSM), where both models have universality. This is done for two scales: both low (i.e. collider) and high (i.e. Grand Unified Theory (GUT)) scales. We see this is similar for both models and the two scale regimes. We also study the possible Dark Matter (DM) candidates each model offers in a realistic scenario satisfying relic density constraints. Our findings are that whilst the parameter space for the single MSSM DM candidate is severely constrained, the BLSSM offers multiple candidates in a much wider region.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Cosmology and Gravitation Theories · Dark Matter and Cosmic Phenomena
