麻豆村

麻豆村 student Ali Shakir is working to correct an error in how cosmologists measure intrinsic galaxy alignments.

When viewing faint galaxy images, researchers have to factor in distortions such as when a distribution of matter 鈥� like a cluster of galaxies 鈥� has a gravitational field that bends the light of a distant source as it travels toward an observer. The phenomenon is known as gravitational lensing.

鈥淚n weak gravitational lensing, light comes from a background source that passes through a large concentration of mass like a galaxy cluster. That gets deflected, according to Einstein鈥檚 theory of relativity,鈥� says Ali, a junior in the Mellon College of Science majoring in physics and statistics and data science. 鈥淐osmologists care about measuring this lensing because it tells us about how matter鈥� and specifically dark matter 鈥攊s distributed through the universe.鈥�

He spent the summer working in the lab of Mellon College of Science Professor Rachel Mandelbaum this summer through a Summer Undergraduate Research Fellowship grant, known as a SURF, which is provided through Carnegie Mellon鈥檚 Office of Undergraduate Research and Scholar Development.

The work is part of a weak gravitational lensing project by Mandelbaum鈥檚 research group, which applies methods from statistics and machine learning to cosmological problems involving large data sets.

鈥淎li is very hard-working and a fast learner,鈥� Mandelbaum says. 鈥淗e had to learn a lot of new physics and programming skills for this project and was able to do so very effectively.鈥�

His work is related to understanding and accounting for a systematic error in measuring the effects of gravitational lensing. The challenge is weak lensing is used to better understand the distribution of matter in the universe, and intrinsic alignments 鈥� where galaxies have a tendency to align with other nearby galaxies 鈥� contaminate these measurements by mimicking gravitational lensing signals.

Ali aims to measure intrinsic alignment signals more effectively using cosmological simulation data containing 3D information about galaxies and matter that can be used to better understand the physical effects that could affect intrinsic alignment measurements.

The code and much of the theory Ali uses was created by Sukhdeep Singh, a McWilliams Postdoctoral Fellow in the Department of Physics, and physics doctoral student Yesukhei Jagvaral, who both mentored Ali.

鈥淲e think there鈥檚 a better way to fit this data, so we can measure this alignment parameter more accurately with less noise,鈥� Ali says. 鈥淲e鈥檝e noticed that alignments are more prevalent with elliptical galaxies because they鈥檙e more affected by gravitational tidal fields. But the effect is not so prevalent with disc galaxies like the Milky Way because they have a lot of angular momentum and tend to retain their shape very well.鈥�

Ali, who is the only undergraduate currently working on the project, says working with Mandelbaum and other members of Carnegie Mellon鈥檚 McWilliams Center for Cosmology has been amazing.

鈥淭he McWilliams Center is a really special place. It does groundbreaking work, and it鈥檚 been great to get an idea of the field and learn about really fascinating work happening at Carnegie Mellon,鈥� Ali says. 鈥淚t also has been a chance for me to interact with people who I look up to and people who I鈥檇 like to be like in the future. I very much see myself walking a similar path as the graduates and professors in the department.鈥�

Mandelbaum says thanks to Ali鈥檚 efforts they anticipate working with him to write a journal article describing his novel results.

鈥淲orking with undergraduate researchers is an important part of our educational mission,鈥� she says.鈥� By carrying out research projects, undergraduates learn a wide range of skills that are not necessarily taught in the classroom, or that they learn in the classroom but develop further by carrying out research.鈥�

鈥淭hese include not only physics concepts and technical skills, like statistical analysis and software development, but also more general problem-solving and communication skills that will serve them well in many other contexts.鈥�