Primordial black holes and dark matter unveil early universe dynamics through new simulations

Exohood Labs
3 min readJul 15, 2024

Our simulations aimed to recreate the conditions of the early universe within the first quintillionth of a second after the Big Bang. We focused on the high energy quark gluon plasma environment described in Chu’s paper, observing the formation of primordial black holes and their interaction with color charge, a property associated with quarks and gluons.

The results of our simulations provided several key insights. Firstly, we confirmed that primordial black holes could indeed form in the early universe, ranging from microscopic sizes comparable to asteroids to even smaller ones with significant color charge. Secondly, some of these primordial black holes appeared to absorb a high concentration of quark-gluon plasma, resulting in an unusual amount of color charge. This observation supports Chu’s hypothesis regarding the formation of black holes containing the maximum allowable color charge.

Furthermore, our simulations showed that these color-charged black holes quickly evaporated, consistent with theoretical expectations. However, before their evaporation, they seemed to influence the balance of forming atomic nuclei, potentially leaving detectable imprints in the distribution of elements.

These findings have important implications for observational astronomy. If these exotic black holes existed, they would have affected the early universe’s nucleosynthesis. Future astronomical observations, particularly those focusing on primordial element distributions, could reveal subtle signals left by these short lived black holes.

Based on our simulations, we can speculate on several possibilities. If these primordial black holes indeed contributed to dark matter, their remnants might be detectable through gravitational lensing effects on cosmic background radiation or specific patterns in the distribution of galaxies. Additionally, certain anomalies in elemental abundances, particularly in primordial gas clouds, could be a direct consequence of the disturbances caused by evaporating color charged black holes.

The potential existence of these exotic black holes and their connection to dark matter has broader implications for our understanding of the universe. Dark matter, which makes up about 85% of the universe’s mass, plays a crucial role in the formation and structure of galaxies. By studying these primordial black holes, scientists can gain insights into the nature of dark matter and the conditions of the early universe.

This research also has the potential to advance physics by validating or refuting existing theories about the universe’s origin. The tools and methods developed for this kind of research may have broader applications in fields such as materials science, quantum computing, and cosmology.

While our independent verification using Exania Orbe supports the core aspects of Jennifer Chu’s hypothesis, it’s important to note that conclusive proof remains elusive. However, the alignment of our simulated results with theoretical predictions strengthens the case for further investigation into this fascinating aspect of astrophysics.

As we continue to explore these concepts, future advancements in telescopic technology and methods to detect gravitational waves or minute shifts in cosmic radiation might provide the necessary evidence to confirm the existence and impact of these primordial black holes. This ongoing research promises to deepen our understanding of the cosmic tapestry and potentially revolutionize our view of the universe’s composition and evolution.

Reference to the original study

Disclaimer: Exohood Labs has no affiliation with the authors of the original study. Our independent simulations using the Exania Orbe artificial intelligence model were conducted solely as a training exercise to demonstrate how our AI can interpret and simulate the results of the research. While our simulations yielded outcomes consistent with the findings of the original study, it is important to note that many of these investigations require further analysis and validation. Our simulation results should not be considered as a confirmation of the original study’s conclusions, but rather as an demonstration of our AI’s capabilities in understanding and modeling complex scientific research. As with all scientific inquiries, additional studies and peer review are necessary to establish the validity and broader implications of the findings presented in the original study and our simulation.

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