ACO 1656 Coma Supercluster (CosmiQbr)

Celestial hemisphere: Northern · Constellation: Coma Berenices (Com) · Contains: IC 3946 · IC 3949 · IC 3955 · IC 3973 · IC 4040 · IC 4045 · IC 4051 · NGC 4854 · NGC 4860 · NGC 4864 · NGC 4865 · NGC 4869 · NGC 4871 · NGC 4873 · NGC 4874 · NGC 4881 · NGC 4883 · NGC 4886 · NGC 4889 · NGC 4895 · NGC 4898 · NGC 4907 · NGC 4908 · NGC 4911 · NGC 4919 · NGC 4921

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ACO 1656 Coma Supercluster

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ACO 1656 Coma Supercluster

All the stars have been removed from this image. Every object you see is a galaxy. The Coma Cluster (Abell 1656) is a super cluster of galaxies that contains, by some estimates, over 10,000 identified galaxies. The cluster is an average distance of 321 million light years from Earth, but with a diameter of 20 million light years. In contrast, our own Milky Way has only 156 galaxies (large and small) within that same volume (Milky Way being at the center). This image is dominated by the two supergiant elliptical galaxies NGC 4889 and NGC 4874. NGC 4889 is thought to be the most massive galaxy within 100 mega parsecs of Earth with a mass of up to 15 trillion solar masses (10 times the mass of the Milky Way). Many of the galaxies in the Coma cluster are ancient ellipticals, the result of many galactic mergers over the eons, as such they will appear more red than younger spiral galaxies, which are more blue due to their numerous star forming regions.

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Distribution of astrophotographers

This table shows the number of distinct astrophotographers who have been assigned and IOTD/TP award compared to the total number of images awarded.
	Distinct awarded users	Total awarded images
Image of the day
Top picks
Top pick nominations

Distribution of subject types

This table shows the distribution of awards per subject type, compared to the popularity of images of that subject type.
	Image of the day	Top pick	Top pick nominations	Total submitted
Deep sky
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Extremely wide field
Star trails
Northern lights
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Landscape

Distribution of data sources

This table shows the distribution of awards per data source, compared to the popularity of images acquired from that data source.
	Image of the day	Top pick	Top pick nominations	Total submitted
Backyard
Traveller
Own remote observatory
Amateur hosting facility
Public amaeteur data
Professional, scientific grade data
Mix of multiple sources
Other
Unknown

The “AstroBin Image of the Day and Top Picks”, or IOTD/TP, is a long-running system to promote beautiful, interesting, peculiar, or otherwise amazing astrophotographs, with a focus on technical excellence. Learn more.

Submitted The date and time when you submitted this image for IOTD/TP consideration.	...
Views by Submitters (available since September 19th, 2023) Every image is assigned to 50% of available Submitters. In the event that at least 80% of them don't view the image before its time in the IOTD/TP process expires, it's assigned to the other 50% of Submitters and the process begins anew.
Promotions by Submitters When 3 distinct Submitters promote the image, it moves on to the next stage of the process: evaluation for Top Pick status. This requirement, in addition to anonymization of images and distribution to only a subset of them, prevents biases and ensures that the best images are selected.
Promotions by Reviewers When 3 distinct Reviewers promote the image, it moves on to the next stage of the process: evaluation for IOTD status.
Early dismissal Staff members have a lot of images to inspect on a daily basis, and they can dismiss images if they believe they don't meet the requirements for IOTD/TP selection. If an image is dismissed 5 times, it's removed from the process. This streamlines the process and ensures that any bias present in promotions could be overruled by other staff members.

Status	Advanced failed
Started	...
Astrometry.net job	6789754
PixInsight job	SV2PL3Z4NYPUYZDLQ8E14V7WJELWWBNS
PixInsight queue size	n/a
PixInsight stage	PLATE_SOLVING_IMAGE

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ACO 1656 Coma Supercluster

ACO 1656 Coma Supercluster

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Contribution Index (beta):

ACO 1656 Coma Supercluster

ACO 1656 Coma Supercluster

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