Skip to main content
ExplainerDark EnergyExplainer· 4 min read· in Science

New 2,884-Supernova Dataset Challenges the Standard Model of Dark Energy

A comprehensive catalog of exploding white dwarf stars provides new evidence that dark energy, the force driving cosmic acceleration, may change over time.

By Karim Mansour

Dynamical Dark Energy Researchers 60%Standard Model Proponents 40%
Dynamical Dark Energy Researchers
Astrophysicists who argue that dark energy changes over time, driving a variable expansion rate.
Standard Model Proponents
Advocates for the Lambda-CDM model who argue that dark energy is a cosmological constant.

Perspectives this story doesn't cover

  • Theoretical Physicists seeking new fundamental particles to explain the shift
2,884
Type Ia supernovae in the dataset
30 years
Span of astronomical observations
100 million years
Potential reduction in universe's estimated age
100 nights
Observation time on the Anglo-Australian Telescope

Three decades of astronomical observations, capturing the light from exactly 2,884 exploding white dwarf stars, have been unified into a single analytical framework. That volume of data—the most comprehensive catalog of Type Ia supernovae ever assembled—provides the clearest picture yet of how the universe has expanded over time. By reanalyzing historic measurements alongside modern surveys, researchers have found new evidence that dark energy, the mysterious force driving cosmic acceleration, may not be a fixed constant. The compilation sets a new global benchmark in supernova cosmology, offering a robust dataset to test the fundamental assumptions that underpin our understanding of the universe's evolution.[1][4]

Type Ia supernovae act as cosmic 'standard candles' for astrophysicists. Because these specific white dwarf stars explode with a highly consistent and predictable luminosity, researchers can measure their apparent brightness from Earth to calculate exact cosmic distances. When combined with the 'redshift' of the galaxies hosting them—a measure of how fast those galaxies are moving away from us—these distances reveal the precise rate of the universe's expansion over billions of years. By plotting these measurements on a Hubble diagram, cosmologists can trace the expansion history of the universe and infer the properties of the dark energy driving it.[1][4]

A global team led by researchers at the University of Queensland's School of Mathematics and Physics compiled this new benchmark dataset. To unify the disparate information, older observations were meticulously reanalyzed using modern computational techniques. The team accounted for variables that can distort the light reaching Earth, including cosmic dust, galaxy mass, and gravitational lensing—the bending and magnification of light around massive objects as it travels from a distant supernova to our telescopes. This standardization ensures that a supernova observed in 1995 can be accurately compared to one observed in 2024.[1]

The new dataset unifies 2,884 Type Ia supernovae to map the universe's expansion history.

The foundation of this dataset relies on massive, multi-year observational efforts across the globe. For example, the Australian contingent of the Dark Energy Survey, known as OzDES, previously involved more than 30 researchers who observed the sky for 100 nights spread across six years using the Anglo-Australian Telescope at the Siding Spring Observatory. This dedicated observation time allowed them to measure the redshifts of ultra-faint sources, providing the critical velocity data needed to pair with the distance measurements derived from the supernovae's brightness.[1][4]

The foundation of this dataset relies on massive, multi-year observational efforts across the globe.

The resulting 2,884-supernova dataset was then combined with other independent cosmic measurements, such as relic light from the Big Bang and detailed maps of galaxy distributions throughout space. The combined findings point away from the standard model of cosmology, known as Lambda-CDM. That model assumes dark energy is an unchanging cosmological constant—a fixed property of space itself that maintains the same density regardless of how much the universe expands. Instead, the new data suggests a dynamical dark energy that evolves.[1][2]

"Instead of confirming the standard model of cosmology which assumes dark energy is fixed and unchanging, we have more evidence that dark energy may change over time," said Ryan Camilleri, a PhD candidate at the University of Queensland who ran the final cosmology analysis. Camilleri noted that the project rebuilt three decades of astronomical observations into a single, consistent framework, allowing the team to test the measurements against many different models of dark energy to find the most promising fit.[1]

Dynamical dark energy models suggest the force driving cosmic expansion may weaken over time.

This is not the only dataset pointing toward a shifting dark energy. The new compilation builds on 2024 data from the Dark Energy Survey (DES), which first showed hints of time-varying dark energy when analyzing a smaller subset of supernovae. Furthermore, the Dark Energy Spectroscopic Instrument (DESI) independently found similar hints in its surveys of relic sound waves—known as baryon acoustic oscillations—from the early universe. These overlapping anomalies suggest that the standard model's assumption of a constant dark energy may be fundamentally flawed.[1][3]

"So, 2 completely independent measurements have found hints of time variation in dark energy, challenging the standard model that dark energy doesn't change," said Professor Tamara Davis, an astrophysicist at the University of Queensland. If the acceleration of the universe is indeed weakening over time, as the dynamical models suggest, previous analyses indicate the universe might be roughly 100 million years younger than current estimates. Such a shift would require cosmologists to recalculate the timeline of cosmic history.[1][4]

However, the researchers emphasize that the evidence remains a 'hint' rather than an absolute confirmation. The deviation from the standard model observed in this new compilation points in a slightly different direction than the initial DES findings, highlighting the immense difficulty of calibrating such vast datasets. Resolving these discrepancies requires even larger samples. Future initiatives, such as the Dark Energy Bedrock All-Sky Supernova program, are expected to add hundreds more supernovae to the catalog, further narrowing the constraints on how dark energy behaves and whether the standard model must be rewritten.[1]

Researchers reanalyzed historic measurements alongside modern surveys to build the unified framework.

What we don’t know

  • Whether the observed deviation from the standard model is definitively caused by dynamical dark energy or an unaccounted-for systematic error in the observational pipeline.
  • The exact mechanism by which dark energy might weaken or change over time, as current physics lacks a complete theoretical framework for dynamical dark energy.
  • How the conflicting directions of deviation between the initial DES findings and the new compilation will be resolved with future data.

Sources

Source coverage

4 outlets

2 viewpoints surfaced

Dynamical Dark Energy Researchers 60%Standard Model Proponents 40%
  1. [1]Phys.orgDynamical Dark Energy Researchers

    Big supernova dataset challenges dark energy theory

    Read on Phys.org
  2. [2]arXivDynamical Dark Energy Researchers

    Testing models beyond ΛCDM using the Dark Energy Survey supernova catalogue

    Read on arXiv
  3. [3]arXivDynamical Dark Energy Researchers

    Using the Dark Energy Survey's Year 5 supernovae catalogue to create an inverse distance ladder

    Read on arXiv
  4. [4]Factlen Editorial TeamDynamical Dark Energy Researchers

    Synthesis by Factlen editorial team

    Read on Factlen Editorial Team

Comments

Stay informed

Every angle. Every day.

Get Science stories with full source coverage and perspective breakdowns delivered to your inbox.