Cosmology

My primary research projects at Yale were in cosmology, advised by Nikhil Padmanabhan.

Improved Cosmic Displacement Field Estimation

I worked with Farnik Nikakhtar and Nikhil Padmanabhan on improving estimations of the cosmic displacement field, which encodes the displacement of particles from the initial conditions, using convolutional neural networks. More information can be found in my senior thesis report or my iPoster presented at AAS 246 in Anchorage, for which I received the Chambliss Astronomy Achievement Student Award.

Linear Point Scale Estimation with Neural Networks

I worked with Farnik Nikakhtar and Nikhil Padmanabhan on estimating the linear point, the halfway point between the Baryon Acoustic Oscillations (BAO) dip and peak features in the two-point correlation function, using neural networks. More information can be found in my iPoster presented at AAS 242 in Albuquerque.

Lyman-$\alpha$ Forest 1D Power Spectrum Estimation

I worked with Naim Goksel-Karacayli and Nikhil Padmanabhan on estimating the 1D Ly-$\alpha$ forest power spectrum using the quadratic maximum likelihood estimator with data from the BOSS and eBOSS missions of SDSS. More information can be found in my iPoster presented at AAS 240 in Pasadena.