Dst: New technique helps finds thousands of double-nuclei galaxies: DST

BENGALURU: An international team of astronomers and computer scientists from India and France, including those from Indian Institute of Astrophysics (IIA) in Benglauru, has devised a numerical technique to automatically search for double-nuclei galaxies.

“This could help them predict what could happen when neighbouring galaxies like the Milky Way and the Andromeda collide. Scientists need to study collisions between galaxies to predict uncertainties like whether the solar system would survive or be ripped apart from the violent mixing of stars and gas between the galaxies when they collide. For this, they need to hunt for closely merging galaxies,” the department of science and technology (DST) said in a statement.

However, only a handful of such galaxies are known, as they are very rare. During the merging process, the nuclei of individual galaxies come closer resulting in the formation of double nuclei galaxies.
“In order to hunt for more merging galaxies in the open sky, the team of astronomers and computer scientists from BITS Pilani-Goa, IIA, IISER, Allahabad University, and the Paris Observatory, France, has developed a new algorithm which has led to the discovery of thousands of double-nuclei galaxies,” DST said.
Out of these, 159 were confirmed to have pairs of accreting supermassive black holes (SMBH) or active galactic nuclei (AGN) as they are usually called. An accreting SMBH or AGN is a compact region at the centre of a galaxy that has a higher-than-normal luminosity over at least some portion of the electromagnetic spectrum with characteristics indicating that the luminosity is not produced by stars.
“SMBHs have masses of a million to several billion times the mass of Sun. Accreting SMBH or AGN gives out enormous amounts of radiation over the entire electromagnetic spectrum. Detecting this radiation is one of the only ways of observing SMBHs in distant galaxies,” DST said, adding that detecting AGN pairs is one of the best ways of tracing the mergers of massive black holes.
However, it is extremely rare to find galaxies that have double-nuclei and dual AGN. In fact, detection of dual AGN is often only by accident, and before this study less than 50 were known, DST said, adding that with time, such AGN pairs finally result in two supermassive black holes spinning around each other.
“The final merger of the SMBHs will give out a burst of gravitational waves. Many of these double-nuclei galaxies are at separations similar to the separation of the Milky Way and Andromeda galaxies. Their existence shows how merging galaxies appear to change with time and how their SMBHs will appear before finally merging to form more massive black holes,” DST said.
Thus, studying a large sample of double nuclei galaxies can help predict how the Milky Way and Andromeda will appear as they merge in the future. This study also shows that galactic collisions can signal “the beginning of the end” for the individual AGN as they merge to form a more massive SMBH.
Old Galaxies & New Technique
“Investigators also found that merging galaxies have a tendency to look red — indicating presence of old stars and decreased formation of new stars. Since star formation is the lifeblood of galaxies, red galaxies represent the old, evolved population of galaxies. Thus the study reveals how AGN can extinguish the star formation in galaxies leading to the formation of red and “dead” elliptical galaxies,” DST said.
For this study, the team crafted a specialised image processing technique called GOTHIC that can automatically detect galaxies that visually resemble the galaxy MRK 739 which is one of the earliest detected dual AGN.
GOTHIC used sophisticated image processing techniques and data from one of the largest optical surveys, the Sloan digital Sky Survey (SDSS) to detect such nuclei pairs. This study supported by DST has been published in the Monthly Notices of the Royal Astronomical Society.
“Earlier there were approximately only 50 known double-nuclei galaxies with good images. Since this is too small a sample size for any AI model to train properly, we had to resort to old- school image processing” says Snehanshu Saha, the machine-learning expert at APPCAIR (Anuradha and Prashanth Palakurthi Centre for Artificial Intelligence Research) in BITS Pilani-Goa.
Next, they applied GOTHIC to a random sample of 1-million galaxy images to filter out rare double-nuclei galaxies.
The process was tedious and it took many months to complete since terabytes of image data had to be downloaded. But the final result was totally worth it!” says Anwesh Bhattacharya, the lead author and creator of GOTHIC.
Mousumi Das from IIA pointed out: “Our data shows that dual AGN in galaxy mergers quench star formation. This is an important step in the evolution of star-forming galaxies into elliptical ones. Also, this method can be applied to find large samples of potential binary SMBHs that can be used to understand the nano-Hz gravitational background.”
Francoise Combes from the Paris Observatory, added: “Knowing precisely the number of double nuclei in this last step of mergers, will tell us how much time lasts this stage, and we will learn a lot on dark matter or modified gravity.”