Cosmology

The bridge between cosmology and visual perspective lies in our observation of the universe: light serves as both data for cosmology and a medium for human perception. Since light takes time to travel, observing distant space means witnessing the universe’s past rather than its present.

Spacetime and Visual Distortion

In observing the universe, standard linear perspective sometimes fails (where parallel lines converge to a vanishing point on a flat plane), and cosmology uses General Relativity to explain light travel through spacetime.

  • Gravitational Lensing: Massive objects warp spacetime, bending light and creating optically ‘magnified’ images of distant galaxies. 
  • Relativistic Aberration: the change in the apparent direction of light (or any electromagnetic radiation) caused by an observer moving at a significant fraction of the speed of light. It causes objects to appear shifted toward the direction of the observer’s motion, an extreme effect known as relativistic beaming
  • Time dilation:  the phenomenon where time passes at different rates for observers depending on their relative velocity or proximity to a gravitational mass. Because the speed of light is constant, time itself stretches or contracts to keep the laws of physics consistent for all observers.

The Human Perspective

Cosmologists decode the universe with large instruments, but our understanding nevertheless relies on human vision mechanics. The eye and universe share a deep philosophical connection through the microcosm/macrocosm link.

Making Visible the Invisible

Because the human eye cannot directly detect infrared, ultraviolet, or the faint glow of the early universe, scientists use advanced “instrument and new media perspective” detection and modelling to render cosmological data into images we can comprehend. 

  • The Cosmic Horizon: The Cosmic Microwave Background (CMB) marks the farthest visual reach, beyond which lies an impenetrable wall of early universe plasma.
  • Data Rendering: Converting telescope images at ‘invisible’ wavelengths into images humans can consider involves data interpretation and modelling.