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Powered by Cloudflare·02.11.26
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Scientists release biggest 2D map of the universe

Original article
newscenter.lbl.gov|246 points|65 comments|by NKosmatos|Aug 21, 2026

Unveiling the Largest 2D Cosmic Cartography

📌 Key Takeaways

  • Massive Scale: The DESI Legacy Imaging Surveys merged over 263,000 telescope exposures to create the most expansive 2D map of the cosmos in near-infrared and visible light.
  • Collaborative Tool: This map allows astronomers to augment their own data to hunt for rare cosmic events.
  • 3D Foundation: The 2D imagery acts as the essential precursor for the Dark Energy Spectroscopic Instrument (DESI) to construct a 3D model of the universe and probe dark energy.

"Hold on to your telescopes: the DESI Legacy Imaging Surveys team has released the largest-ever 2D color map of the universe."

This staggering achievement consists of a 5.6-trillion-pixel image capturing nearly 4 billion celestial bodies, consisting mostly of galaxies and stars. The dataset is open-access and can be explored via the Legacy Survey Sky Viewer.

News from Berkeley Lab logo

🌌 Mapping the Invisible and the Infinite

By utilizing this map, citizen scientists and professional astronomers can investigate fleeting phenomena such as supernovae or search for gravitational lenses. More importantly, it provides a window into the two greatest enigmas of modern physics:

  1. Dark Matter: The unseen substance providing the bulk of the universe's mass.
  2. Dark Energy: The mysterious force accelerating the expansion of the universe, often represented in cosmology by the cosmological constant Λ\LambdaΛ.

Map Specifications

FeatureDetail
Total Pixels5.6 Trillion
Objects Cataloged≈4\approx 4≈4 Billion
Sky Coverage≈75%\approx 75\%≈75%
Light SpectrumVisible & Near-Infrared
Scientific Impact1,800+1,800+1,800+ published papers to date

David Schlegel, a scientist at the Lawrence Berkeley National Laboratory (Berkeley Lab) and co-lead of the project, notes that this data has become a helpful tool the very fabric of astronomical research. He explains that researchers now routinely use the Legacy Imaging Viewer as their first point of reference when analyzing celestial objects.

A bright spiral galaxy on a black background dotted with other stars and galaxies.

🛠️ How the Map Was Constructed

The creation of this map was a monumental effort involving over 160 scientists for data collection and a specialized team of 20 for the final dataset production.

Data Sources

The map is a composite of 263,407 exposures from three primary ground-based surveys:

  • DECaLS: Dark Energy Camera Legacy Survey (NSF Cerro Tololo Inter-American Observatory).
  • MzLS: Mayall z-band Legacy Survey (NSF Kitt Peak National Observatory).
  • BASS: Beijing-Arizona Sky Survey (University of Arizona’s Steward Observatory).
  • Satellite Support: Years of data from NASA’s Wide-field Infrared Survey Explorer (WISE).

Seven bright galaxies on a black background full of points of light.

🔭 From 2D Images to 3D Reality

The Legacy Surveys were designed as a roadmap for the Dark Energy Spectroscopic Instrument (DESI). While the 2D map records the position and brightness of objects, DESI uses this information to measure light wavelengths, allowing scientists to calculate distance and create a high-resolution 3D map.

By analyzing how galaxies clustered at various epochs of cosmic history, scientists can track the evolution of dark energy.

Crucial Update: DESI finished its initial five-year survey in April 2026, ahead of schedule. Preliminary data suggests a potential paradigm shift: dark energy's influence may be diminishing over time, which could fundamentally alter our understanding of the universe's ultimate fate.

Two fans of blue and white dots extending up and down from center on a black background.

💻 The Computational Engine

Processing images from 2,285 different nights—each with varying atmospheric conditions—required immense computing power.

  • Development: 1 year of code creation.
  • Processing: 8 weeks of execution on the Perlmutter supercomputer at the National Energy Research Scientific Computing Center (NERSC).
# Conceptual representation of the data processing pipeline
def process_cosmic_data(exposures):
    for image in exposures:
        calibrate_atmosphere(image)
        align_coordinates(image)
        merge_to_master_map(image)
    return "5.6 Trillion Pixel Map"

🚀 Looking Ahead

The Legacy Surveys will serve as a benchmark for the next generation of observatories, including:

  • The Rubin Observatory (NSF/DOE)
  • NASA’s Nancy Grace Roman Space Telescope

Furthermore, this dataset will be used to train AI models to parse petabytes of data and will be featured in an astrophysics pilot for the American Science Cloud (part of the DOE’s Genesis Mission).

A long-exposure image captures circular star trails above telescope domes illuminated in red light on a dark mountain.


Acknowledgements: This project was supported by the DOE’s Office of High Energy Physics, NERSC, the NSF Division of Astronomical Sciences, and various partner institutions.

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