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Concept

Galaxy morphological classification

Related lectures (20)

Explores the content of the Universe, large scale structures, galaxy classification, and galaxy clusters.

Explores the evolution and morphology of galaxies, from elliptical galaxies lacking star formation to spiral galaxies with young stars.

Introduces the Hubble Ultra Deep Field, Hubble Sequence, galaxies, and astrophysics concepts.

Covers the observation of galaxies, including historical evolution, galaxy sequences, and dark matter.

Covers the Calorimeter model of the interstellar medium and explores the spectrum of a normal galaxy and Milky Way emission.

Explores the Milky Way's structure and galaxy classification based on the Hubble-De Vaucouleurs Sequence.

Covers the Milky Way, galaxy classification, types, and structures.

Covers the standard model in cosmology and the structure of the Milky Way, including dark matter and galaxy formation.

Explores HII regions in the interstellar medium and the characteristics of ionising stars, including their luminosity and lifetime.

Covers astroparticle physics, dark matter, galaxy dynamics, and direct detection experiments for dark matter.

Explores the origin, nature, and future of humanity through astrophysics.

Delves into the formation, evolution, and destruction of galaxies through simulations.

Covers space, stars, the solar system, nebulae, and galaxy clusters.

Explores intrinsic stellar variability, focusing on expulsions from stars and phenomena observed in BE stars, UV setting stars, and Betelgeuse.

Explores galaxy formation, debunking misconceptions and showcasing digital simulations of spiral galaxies evolving into elliptical galaxies.

Explores dark matter in galaxies and clusters, rotation curves, and the m / l ratio.

Explores the matter content in the universe, including galaxy mass, dark matter relics, and the history of the universe.

Explores the contents and properties of the observable universe, including galaxy sizes, mass, and morphologies.

Explores galaxy-galaxy lensing, mapping dark matter distribution and interpreting lensing signals.

Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.