To gather data on young stars, Culbreath combs existing surveys of the night sky in visible light, infrared, the far infrared, radio, and other wavelengths. “Gathering the data is a long process that requires complex coding,” Culbreath says, “but I’m interested in the computational side.” The results give him a full picture of a star’s spectral energy distribution.
If the data Culbreath gathers does not match an existing database of 200,000 star and disk models, the team must develop new models. That’s where Juarez comes in, with information from the star’s spectra, which provides hints about a star system’s chemical composition, temperature, and rotation speeds.
Stellar research is technique driven, says Aarnio, and her research group stands out by combining several. “Our work is unique in that we’re object-focused and bringing simulations into the mix as well. And there are not many universities that have young star research as a focus.”
Culbreath, for example, has conducted research not just at UNCG but at the Maria Mitchell Observatory in Massachusetts, and he has earned several awards for his academic achievements and research. “I’m most proud of going to conferences and talking about the research I’ve done,” he says. This year, he presents a poster at the American Astronomical Society Meeting, which many in the field call the “Super Bowl” of astronomy.
“But it’s one step at a time,” Culbreath says. “I needed to be able to do research first and know what the meaning of research is. A lot of accomplishments came from asking for guidance early in my college years.”
Part of that guidance came from UNCG’s NSF STAMPS and NIH MARC U-STAR programs, which offer opportunities to talented students from groups traditionally underrepresented in the sciences. Similarly, Juarez is in UNCG’s McNair Scholar Program that prepares promising students for graduate education.
“There’s really a strong focus at UNCG on getting undergrads prepared,” Aarnio says.
Culbreath and Juarez came to UNCG with a strong interest in the stars, but the team also emphasizes the impact of their work here on earth. “Astronomy is on the frontier of big data,” Aarnio says. “Telescopes are getting petabytes of data every night, so astronomers have to build machine learning algorithms to process data quickly.” Culbreath recently developed one to try to automatically identify galaxies – his particular passion.
Juarez’s interest differs: “I like the astrochemical aspect of stars.” Her first project with Aarnio modeled chemical reactions in a star disk. “We created 18 separate simulations on a supercomputer to analyze the disk and the emission of carbon monoxide and hydroxide.” Modeling these reactions, particularly those involving organic molecules, offers researchers clues on how and if carbon-based life can develop.
What both students agree on are the opportunities UNCG afforded them, including funding for undergraduate research and interactions with professors.
“We have great professors, and we can be one-on-one and have small classes because of the size of the school,” Culbreath says. “It helps you learn and actually retain.” Juarez echoes the sentiment. “I’m a shy person, but it was easier to create relationships with my professors here. That helped push me and made me aware of what I have to do, to do well.”