C. A. J. Duncan

Researchers improve galaxy classification using machine learning combined with photometric data.

Examining techniques to accurately measure galaxy cluster masses for cosmological studies.

Examining intracluster light and globular clusters in the Perseus galaxy cluster.

Study reveals new dwarf galaxy candidates in Perseus cluster using advanced imaging.

The ERO program highlights early scientific potential through stunning astronomical observations.

A simulation reveals insights into dark matter and dark energy.

NISP gathers crucial data about distant galaxies and cosmic phenomena.

Exploring the role of proto-clusters in galaxy formation through the Euclid Survey.

A fresh approach improves accuracy in measuring galaxy light interactions with gravity.

Research delves into cosmic expansion and the mysteries of dark energy.

Researchers use simulations to study dark matter, dark energy, and cosmic structures.

Euclid aims to study dark matter and dark energy in our Universe.

Researchers investigate primordial non-Gaussianity to reveal cosmic structure mysteries.