Theoretical and Experimental Constraints on $\mathbb{Z}_{2n}$ Multi-Component Dark Matter Models
J. P. Carvalho-Corr\^ea, I. M. Pereira, B. L. S\'anchez-Vega, A. C. D. Viglioni

TL;DR
This paper assesses the viability of $ Z_{2n}$ multi-component scalar dark matter models by combining observational constraints with high-scale theoretical consistency, revealing diverse parameter spaces and potential new physics predictions.
Contribution
It provides a comprehensive dual analysis of specific $ Z_{2n}$ dark matter models, integrating experimental data with high-energy theoretical constraints to evaluate their viability.
Findings
$ Z_4$ model has a broad viable parameter space with semi-annihilation.
$ Z_6(13)$ model is highly fine-tuned, limited to Higgs resonance.
$ Z_6(23)$ model can be consistent as an effective theory, predicting new physics below $10^6$ GeV.
Abstract
A complete assessment of any dark matter model requires confronting its low-energy phenomenology with its high-scale theoretical viability. We undertake such a dual analysis for a class of two-component scalar dark matter models stabilized by symmetries, specifically the , , and frameworks. Each model is tested against the latest observational data, including the Planck relic abundance and stringent direct detection limits from the LUX-ZEPLIN (LZ) experiment. Simultaneously, we evaluate their theoretical integrity up to the GUT and Planck scales by enforcing vacuum stability and perturbative unitarity with one-loop Renormalization Group Equations. This combined approach reveals a rich and varied landscape of possibilities. We demonstrate that the model offers a broadly viable parameter space sustained by…
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.
Taxonomy
TopicsDark Matter and Cosmic Phenomena · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
