A computer simulation of a galaxy (left); the same galaxy adjusted to appear as it might in an observation by the Sloan Digital Sky Survey (middle); a computer simulation of a merging pair of galaxies (right). (Credit: Nevin et al., 2019)
Galaxy mergers鈥攊n which two galaxies join together over billions of years in sometimes-dramatic bursts of light鈥攁ren鈥檛 always easy for astronomers to spot. Now, scientists from CU Boulder have developed a for finding these cosmic couplings.听
A team led by Rebecca Nevin designed a computer program that scans through surveys of galaxies to look for a wide range of signs that a merger might be happening. That includes the shape of the resulting galaxies and how the stars inside are moving. The method could help scientists to identify hundreds or thousands more merging galaxies.
That鈥檚 important, Nevin said, because such mergers may be an important step in the building of huge, spiral galaxies like the Milky Way and in kicking off the formation of new stars.
She will present her group鈥檚 findings Jan. 8 at a press briefing at the in Seattle.听
鈥淭he goal is to build a bigger sample of merging galaxies than ever before,鈥� said Nevin, a graduate student in the Department of Astrophysical and Planetary Sciences听(APS). 鈥淚t鈥檚 a powerful way to identify the types of mergers that would be missed by more traditional imaging techniques.鈥�
Where鈥檚 the galaxy?
Top: The "mice" galaxies, connected by a bridge of stars, are in the early stages of merging together; bottom: the "antennae" galaxies are farther along in the merger process, making them more difficult to distinguish with the naked eye. (Credits:听ESA/Hubble & NASA)
Her work builds on observations from the Sloan Digital Sky Survey (SDSS), a long-running census of the night sky undertaken by a research partnership that includes CU Boulder. Scientists on that survey have snapped about 500 million images of space since 1998, many of them showing galaxies far away from Earth.
Spotting merging galaxies in such surveys, however, can be a bit like finding the titular character in Where鈥檚 Waldo?
鈥淧eople have been looking at pictures of galaxies and saying, 鈥榯hat鈥檚 a merger鈥� or 鈥榯hat鈥檚 not a merger,鈥欌�� Nevin said. 鈥淏ut people are also really bad at doing that, and they miss a lot of galaxies.鈥�
Take the 鈥渕ice鈥� galaxies. Scientists suspect that these twin spirals, located about 290 million light years from Earth, are beginning the process of coming together鈥攊n part, because the galaxies are connected by a narrow bridge made up of stars.听
Other mergers, however, can be easily mistaken for a normal galaxy out on its own. To date, no one technique has been able to identify all types of mergers at all stages in their evolution, Nevin said.听
Mock observations
To locate those missing mergers, she and her colleagues are turning to a common tool in astrophysics: computer simulations. The team designed a series of simulations that seek to capture a wide range of different ways that two galaxies might bump into each other鈥攃reating mock observations of how such mergers would look to a telescope.
鈥淭hese simulated galaxy mergers allow us to follow billions of years of evolution directly, whereas observations of real galaxies are limited to single moments in time,鈥� said Laura Blecha, an assistant professor at the University of Florida who led the simulation work.听
The researchers used those simulations to train a computer program to recognize the telltale fingerprints of these unions. Merging galaxies, for example, tend to be less symmetrical than run-of-the-mill spiral galaxies.听
The team, which included Julia Comerford of CU Boulder and Jenny Greene of Princeton University, then employed the same program to scan real-life images of galaxies collected by the SDSS.
And it worked: depending on the types of galaxies involved the team鈥檚 technique could correctly identify fusing galaxies 80 percent of the time or more. Nevin and her colleagues will .听
The researchers didn鈥檛 stop there. They are also working to incorporate measurements of the way that stars move in a galaxy, or 鈥渒inematics,鈥� into their hide-and-seek technique.
鈥淭his is a novel approach because it鈥檚 bringing imaging techniques and the kinematics together,鈥� Nevin said.
She expects that her method will increase the number of known mergers several-fold. That expanded dataset, she said, could help scientists to better understand how often these sometimes-dramatic unions occur and how they might contribute to the evolution of the cosmos.
