HUBBLE ATLAS
NGC 2174 (NGC 2174, Monkey Head Nebula, Sharpless Sh2-252) — image from the Hubble Space Telescope

Nebulae

NGC 2174

March 17, 2014 · NASA · NGC 2174, Monkey Head Nebula, Sharpless Sh2-252 · Orion

Zoom to full resolution See where it is in the 3D sky Original on NASA ↗

In celebration of the 24th anniversary of the launch of NASA's Hubble Space Telescope (on April 24, 1990) astronomers have taken an infrared-light portrait of a roiling region of starbirth located 6,400 light-years away.

The Hubble mosaic unveils a collection of carved knots of gas and dust in a small portion of the Monkey Head Nebula (also known as NGC 2174 and Sharpless Sh2-252). The nebula is a star-forming region that hosts dusky dust clouds silhouetted against glowing gas.

Massive, newly formed stars near the center of the nebula (and toward the right in this image) are blasting away at dust within the nebula. Ultraviolet light from these bright stars helps carve the dust into giant pillars. The nebula is mostly composed of hydrogen gas, which becomes ionized by the ultraviolet radiation.

As the interstellar dust particles are warmed from the radiation from the stars in the center of the nebula, they heat up and begin to glow at infrared wavelengths.

The image demonstrates Hubble's powerful infrared vision and offers a tantalizing hint of what scientists can expect from the upcoming James Webb Space Telescope.

Observations of NGC 2174 were taken in February 2014.

About the colours

This composite image includes exposures acquired by the WFC3 instruments on the Hubble Space Telescope. Several filters were used to sample broad wavelength ranges. The color results from assigning different hues (colors) to each monochromatic (grayscale) image associated with an individual filter. In this case, the assigned colors are: Blue: F105W (Y) Green: F125W (J) Red: F160W (H)

About the data

The Hubble data are from proposal 13623 : Hubble Heritage Team/STScI/AURA: Z. Levay (PI; STScI), K. Noll (GSFC), and M. Mutchler, J. Mack, C. Christian, M. Livio, L. Frattare, J. Sokol, and S. Meyett (STScI). High-level science products for these data are available from the MAST archive.