Largest 2D map of the universe helps scientists discover new gravitational lenses
Using data from the DESI Legacy Imaging Surveys, with help from artificial intelligence, an international team of scientists has discovered 70 new gravitational lenses, rare.
Key points
- Focus: Using data from the DESI Legacy Imaging Surveys, with help from artificial intelligence, an international team of scientists has discovered 70 new
- Detail: Science reporting: verify primary technical documentation
- Editorial reading: science reporting; whenever possible, verify the cited primary source.
Using data from the DESI Legacy Imaging Surveys, with help from artificial intelligence, an international team of scientists has discovered 70 new gravitational lenses, rare cosmic alignments that act as natural magnifying glasses. The science-journalism coverage adds useful context, while the strongest evidential footing still comes from the underlying data, papers or institutional documentation.
It matters because cosmology operates at the edge of what current instruments can measure, where systematic errors and model assumptions are never trivial. Small discrepancies between independent measurements have historically pointed toward missing physics rather than simple calibration errors, and the ongoing tension in the Hubble constant is a live example of how a persistent disagreement between methods can reshape the theoretical landscape. Each new dataset that approaches this territory with independent systematics adds real information to a problem that has resisted easy resolution for more than a decade. Editors have highlighted the following attributes while ensuring the content's credibility: Add to Preferred Sources A sample set of the gravitational lenses that were discovered. DESI Legacy Imaging Surveys/LBNL/DOE & KPNO/CTIO/NOIRLab/NSF/AURA Using data from the DESI Legacy Imaging Surveys, with help from artificial intelligence, an international team of.
In August 2026, the DESI Legacy Imaging Surveys team released the largest 2D map of the universe ever created. This map was created using data from three ground-based sky surveys: The Legacy Surveys map has been 13 years in the making, and regular data releases from the team have enabled.
The DESI Legacy Imaging Surveys' deep and wide-field images have provided an unprecedented foundation for discovering new gravitational lenses," says Aleksandar Cikota, an. Earlier work using these techniques had created a catalog containing about 3, 500 potential lenses.
Discover the latest in science, tech, and space with over 100, 000 subscribers who rely on Phys. org for daily insights. The AI-powered search uncovered 76 gravitational lens candidates, but this was only the first step.
The relevance goes beyond one dataset because even small shifts in measured parameters can matter when the field is testing the limits of the standard cosmological model. The Lambda-CDM framework describes the observable universe with remarkable economy, but its success rests on two components, dark matter and dark energy, whose physical nature remains entirely unknown. Any credible measurement that tightens or loosens the constraints on those components moves the entire theoretical enterprise forward, regardless of whether the immediate result looks dramatic on its own terms.
Using MUSE observations collected between 2022 and 2024, the team confirmed that 70 of the candidates were true gravitational lenses. The newly discovered gravitational lenses have been added to the DESI Strong Lens Foundry Project, one of the largest collections of confirmed lenses to date.
Because this item comes through Phys. org Space as science journalism, it should be treated as contextual reporting rather than primary evidence. Good science reporting can identify why a result matters, connect it to the wider literature and make technical work readable, but the decisive evidence remains in the original paper, dataset, mission release or technical record. That distinction is especially important when a story is later repeated by aggregators, because repetition increases visibility, not evidential strength.
The next step is to see whether the effect survives when independent surveys, different calibration strategies and tighter control of systematic uncertainties enter the picture. Programmes such as Euclid, DESI and the Rubin Observatory will deliver datasets over the next several years that cover the same parameter space with largely independent methods. If the current signal persists through those tests, its theoretical implications will become impossible to set aside.
Original source: Phys. org Space