Dark matter, an invisible substance that makes up most of the matter in the universe, plays a crucial role in the formation and motion of galaxies. Despite many proposed candidates, such as exotic particles and primordial black holes, dark matter has not yet been directly observed. A new study by physicist Stefano Profumo from the University of California, Santa Cruz, published in the journal Physical Review D, challenges the idea that particle-based dark matter is inherently more plausible than dark matter in the form of primordial black holes.
Profumo used a tool called the Barbieri-Giudice measure, which assesses how sensitive a model's predictions are to changes in its input parameters. This helps scientists determine whether a theory is "natural"—meaning it doesn’t require extremely precise or unlikely conditions to work. He tested 12 different dark matter models, including various particle candidates like weakly interacting massive particles (WIMPs), as well as different ways primordial black holes might form.
The study found that some black hole scenarios were among the most natural, while certain particle-based models required extreme fine-tuning—meaning their parameters had to be set with incredible precision to work. For example, black holes formed from collapsing domain walls (a type of theoretical structure in the early universe) were as natural as the most forgiving particle models. In contrast, a popular particle model involving dark matter annihilation through a Higgs boson resonance was among the most finely tuned, requiring parameters to be set within a fraction of a percent.
The findings suggest that naturalness should not be used to rule out entire categories of dark matter theories just because some models within them are finely tuned. This study adds a new perspective to the ongoing search for dark matter, showing that both particle and black hole-based models should be considered on their own merits.
Study Challenges Assumptions About Naturalness of Dark Matter Theories
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Original sources:
- 🇺🇸Phys.org



