Dissertation

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My PhD dissertation has been submitted to SHAREOK here.

First-Author Papers

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Extrapolation of Type Ia Supernova Spectra into the Near-infrared Using Principal Component Analysis

Burrow et al. (2024), DOI: 10.3847/1538-4357/ad3c45

We present a method of extrapolating near-infrared (NIR) spectra of Type Ia supernovae up to $\sim2.3\ \mu m$ using an optical spectrum. This is done by performing a principal component analysis (PCA) on a set of observed optical and NIR spectra. Further analysis on the output PCs is also provided.

This method led to SNEx, which uses Python to extrapolate an input spectrum accordingly with this work.

Carnegie Supernova Project: Classification of Type Ia Supernovae

Burrow et al. (2020), DOI: 10.3847/1538-4357/abafa2

We first establish changes to Spextractor, and we use these changes to measure the blueshifts and pseudo-equivalent widths of two Si II features of Type Ia supernovae. We then model the distribution of these quantities, along with $B$-band maximum, using multi-dimensional Gaussian mixture models. This cluster analysis has led to a statistically robust classification system based on that from Branch et al. (2006).

A Python wrapper called SNIaDCA has been created to handle the a Gaussian mixture model object such that a user can easily obtain group membership probabilities from the trained model by just giving relevant spectroscopic properties.

Co-Authored Papers

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A list of publications I’ve contributed to can be found using this NASA/ADS query.