Cullen Abelson Profile

Welcome to my personal website :) I am a fourth-year graduate student at the University of Pittsburgh Department of Physics and Astronomy. I study astrophysical transients as probes of binary stellar evolution through the lens of the delay time distribution (DTD). Although my research is strictly astronomical -- my day-to-day is moreso that of a data scientist -- I like to think of myself as a physicist, and the universe my laboratory.

My current projects include the recovery of DTDs of core-collapse and type Ia supernovae using star formation history (SFH) maps derived from prospector, a Bayesian spectral stellar population fitting Python package. I'm also recovering DTDs of red supergiants and Wolf-Rayet stars in our galactic neighborhood by way of star formation history maps derived from color-magnitude diagrams.

Plot of the SFH map of Andromeda overlaid with nova positions.

My most recent work

As a field test of my DTD recovery method, which applies dynamic nested sampling to a likelihood function that takes uncertainty on the SFH directly into account, I measured the DTD of classical novae in the Andromeda galaxy.

A nova is a bright transient caused by a thermonuclear explosion on the surface of a white dwarf (WD). Of course, the only way to get enough material onto a WD is for a companion star to dump it there! Therefore, novae are a probe of binary stellar evolution.

Despite being limited by a sample encompassing only half of Andromeda's surface area, and the limited research into theoretical nova DTDs, we recovered robust detections in two time bins and an encouraging match to theory. Another interesting (slightly worrying?) result was the statistically significant differences in DTDs based on the models of stellar evolution (MIST, Padova, PARSEC, BaSTI) used to calculate the SFHs.

Image of the library of Allegheny Observatory.

Outreach

I often find that, upon explaining abstract and uninuitive concepts from physics and astronomy to the public, my own understanding of the subject is much improved. That's part of the reason why I'm involved in various outreach efforts through the Department, with a particular focus on the next generation of scientists.

More about me

Outside of work, I'm an avid runner and weightlifter. I also love hiking and I read almost constantly -- lucky for me, these hobbies can be combined with the power of audiobooks.

Favorite coding language

Python -- you can do anything with numpy

Favorite book

The Dark Tower by Stephen King. House of Leaves by Mark Z. Danielewski and The Secret History by Donna Tartt are tied for second.

Favorite Pittsburgh restaurant

Pamela's for breakfast, Papa J's in the Strip for dinner

Favorite movie

Children of Men (2006)

Favorite national & PA state park

Glacier & Zion are tied for first. Cook Forest state park is my fave in PA.

Best style of pizza

Chicago deep dish, no discussion needed

Get in touch

My office is room 210 in Thaw Hall at the University of Pittsburgh.

  • cullen.abelson@pitt.edu
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