The large-scale spatial arrangement of galaxies in the universe, used to probe cosmic structure and evolution.The large-scale distribution of galaxies is not random but forms a vast cosmic web of filaments, walls, and voids, shaped by gravity over billions of years. This structure is a fossil record of the universe's early conditions and its subsequent evolution, encoding information about dark matter, dark energy, and the initial seeds of structure from the Big Bang. By mapping galaxy positions and velocities, astronomers can test cosmological models and understand how the universe transitioned from a nearly uniform soup of particles to the complex, clustered state we observe today.
The first large-scale galaxy surveys in the 1980s, such as the CfA Redshift Survey, revealed the 'Great Wall' and other vast structures, transforming our view of the cosmos from a random scatter to a structured web. The concept of a cosmic web was further developed through N-body simulations and the Sloan Digital Sky Survey in the 2000s.
Galaxies are not distributed uniformly; they cluster in sheets and filaments surrounding enormous empty regions called voids. This pattern arises because dark matter, which dominates the universe's mass, collapses under gravity into a web-like network of halos. Galaxies form and reside within these dark matter halos, tracing the underlying cosmic scaffolding. The distribution is quantified statistically using correlation functions or power spectra, which measure the excess probability of finding a galaxy at a given distance from another, revealing the scale of clustering.
Galaxy distribution maps are used to constrain cosmological parameters, such as the density of dark matter and the equation of state of dark energy, by comparing observed clustering with theoretical predictions.
The largest known structure in the observable universe, the Hercules-Corona Borealis Great Wall, is a filament of galaxies spanning over 10 billion light-years, challenging our understanding of cosmic homogeneity.




















