An RIT astrophysical sciences and technology Ph.D. scholar obtained an award from the U.S. Division of Vitality’s Workplace of Science Graduate Pupil Analysis (SCGSR) program that may help a analysis challenge to analyze the distribution of darkish matter within the universe. RIT’s Peter Craig is certainly one of 65 graduate college students from 29 states to obtain the award and it’ll fund him to conduct analysis at Lawrence Berkeley Nationwide Laboratory.
This system’s objective is to arrange graduate college students for STEM careers critically vital to the DOE Workplace of Science mission, by offering graduate thesis analysis alternatives at DOE laboratories. The SCGSR program offers supplemental awards to excellent U.S. graduate to pursue a part of their graduate thesis analysis at a DOE laboratory/facility in areas that tackle scientific challenges central to the Workplace of Science mission. The analysis alternative is predicted to advance the graduate college students’ total doctoral thesis whereas offering entry to the experience, sources, and capabilities accessible on the DOE laboratories/amenities.
“This award is a incredible alternative to pursue attention-grabbing analysis in a brand new setting, and I’m honored to have been chosen,” mentioned Craig. “I am hoping to study some new abilities, meet a lot of attention-grabbing folks, and to do some attention-grabbing analysis.”
Craig mentioned he plans to construct a instrument to make use of an impact often known as gravitational lensing to search for clumps of darkish matter inside galaxies. Gravitational lensing is a course of the place gravity bends rays of sunshine, permitting heavy objects comparable to galaxies to behave as a lens for objects behind them. Clumps of darkish matter within the lensing galaxy can act as a smaller gravitational lens, which might make the supply brighter or fainter.
He’ll simulate programs the place a supply is being gravitationally lensed by a galaxy, after which change the lensing properties of this galaxy by introducing totally different distributions of darkish matter clumps into the galaxy. The tip objective is to make use of machine studying primarily based on these simulations to construct a instrument that may take a look at actual lensed programs and detect these clumps in noticed information, offering data permitting the researchers to study concerning the distribution of darkish matter clumps within the lensing galaxies.
Craig’s thesis advisor is Sukanya Chakrabarti, affiliate professor in RIT’s School of Physics and Astronomy and for this award he’ll work with Peter Nugent, senior scientist, division deputy for science engagement, and division head for the Computational Science Division within the Computational Analysis Division at Lawrence Berkeley Nationwide Laboratory.
To study extra about this system, go to the SCGSR webpage.