# Cosmic jingles- listen to Euclid’s image of M78 ESA505029

An ethereal dance of misty clouds of interstellar dust with a myriad of distant stars and galaxies speckled like paint drops over a black canvas. This is a sonification of a breathtaking image taken by ESA's Euclid space telescope of the young star-forming region Messier 78. The sonification offers a different representation of the data collected by Euclid, and lets us explore the stellar nurseries in M78 through sound. Close your eyes and listen to let the cosmic image be drawn by your mind’s eye, or watch as the traceback line in this video follows the sounds to colour the image from left to right. The twinkling sounds of various pitches and volumes represent the galaxies and stars in the frame. The pitch of the sound points towards where we see the dot of light in the image. Higher pitches tell us that a star or galaxy appears further at the top in the image along the traceback line. The brightness of these objects in and around M78 are represented by the volume of the twinkles. Whenever we hear a particularly loud clink, the star or galaxy that Euclid observed appears particularly bright in the image. Underlying these jingling sounds, we can hear a steady undertone, made up of two chords which represent different regions in Messier 78. This sound intensifies as the traceback line approaches first the brightest, and later the densest regions in the nebula. The first two deeper crescendos in this undertone indicate two patches in the image where the most intense colour is…

- Kind: Short
- Year: 2024
- Runtime: 1 min
- By: European Space Agency
- Genres: Space
- Archive: [Wikimedia Commons](https://commons.wikimedia.org/wiki/File:Cosmic_jingles-_listen_to_Euclid%E2%80%99s_image_of_M78_ESA505029.webm)
- Licence or status: [CC BY-SA 3.0 igo](https://creativecommons.org/licenses/by-sa/3.0/igo/deed.en) (as the archive states it)
- Credit: European Space Agency
- Who can watch: Tweens profiles and older (the archive gives no rating; placed by Invisible Network from its collection and subjects)

[Watch now](https://invisiblenetwork.ai/watch/archive/commons/160811339?play=1)