Dark Energy
Researchers have created an artificial intelligence system to analyze millions of Type Ia supernovae using imaging data alone. The approach could sharpen estimates of cosmic distances and probe the nature of dark energy. It is designed for upcoming large-scale surveys by the Vera C. Rubin Observatory.
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A theoretical study proposes that collapsing massive stars may form gravastars rather than black holes by creating miniature universes inside themselves. The model offers the first dynamic explanation for how these exotic objects could arise from ordinary stellar matter.
A new study from Yonsei University suggests the universe's expansion has begun slowing down, potentially due to biases in supernova measurements. Researchers argue this indicates dark energy is weakening over time. However, other scientists express skepticism about the findings.
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Astronomers have found evidence that dark energy may be evolving rather than constant, challenging Einstein's longstanding cosmological model. A new study indicates that time-varying dark energy models fit observational data better, potentially altering our understanding of the universe's fate. Researchers from the University of Chicago analyzed data from major surveys to support this idea.