Galaxy clusters are the largest gravitationally bound systems in the universe, which contain a lot of galaxies, gas, and dark matter. They are ideal laboratories to study galaxy formation and evolution in dense environments and also excellent probes to explore the large-scale structure, dark matter, and dark energy.
A large sample of galaxy clusters at z when the universe is about 5.7 billion years old, is fundamental for accurately analyzing the late evolution of galaxies in dense environment, especially for those brightest cluster galaxies (BCGs).
Recently, a research team led by Dr. ZOU Hu from National Astronomical Observatories of the Chinese Academy of Sciences (NAOC) has utilized the deep imaging data from the Dark Energy Spectroscopic Instrument (DESI) imaging surveys and detected more than 540,000 galaxy clusters at z
Their work was published in The Astrophysical Journal Supplement Series on April 13.
The galaxy clusters detected in this work will be used for further studying the properties of member galaxies, evolution of massive central galaxies, mass assembly and star formation in dense environment, and gas properties in clusters, etc.
Through international collaboration, Dr. ZOU Hu has participated the DESI project and conducted large-scale multi-wavelength imaging surveys, including the Beijing-Arizona Sky Survey (BASS).
Before using the imaging data to detect galaxy clusters, the team has accurately estimated the photometric redshifts and stellar masses of about 300 million galaxies with rwhich is about 6 million times fainter than the stars that the human eyes can see. Based on the photometric redshift catalog, they adopted a new fast peak clustering algorithm and detected more than 540,000 galaxy clusters with the number of members larger than 10.
By contrast with those cluster finders based on red sequence, the researchers can detect the clusters that are lack of red galaxies. Compared with traditional overdensity detecting methods, the speed performance of the new method is better and member galaxies can be easily identified. In addition, they have preliminarily found more than a hundred strong lensing systems among these clusters.
This work will play an important role in data analyses and scientific studies of future Chinese large telescopes and large-scale surveys, such as Chinese Space Station Telescope (CSST).