Selected Publications
Hayes, E.E., Dhawan, S., Mandel, K.S., Jones, D.O., Foley, R.J., Thorp, S., Grayling, M., Ward, S.M., Do, A., Langeroodi, D., Earl, N., de Soto, K.M., Narayan, G., Auchettl, K., de Boer, T., Chambers K.C., Coulter, D.A., Gall, C., Gao, H., Izzo, L., Lin, C., Magnier, E.A., Rest, A., Wang, Q., 2025. Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling. In review at MNRAS. [pre-print] [Github]
Hayes, E.E., Thorp, S., Mandel, K.S., Arendse, N., Grayling, M., Dhawan, S., 2024. GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae. [pre-print] [MNRAS] [Github]
This work was selected as a finalist in the 2024 Astrostatistics Student Paper Competition organized by the Astrostatistics Interest Group of the American Statistical Association.
Smith, G., ..., Hayes, E.E., et al., 2025. Multi-messenger Gravitational Lensing. [pre-print] [RSPTA]
Arendse, N., Mörtsell, E., Weisenbach, L., Hayes, E.E., et al., 2025. Microlensing of lensed supernovae Zwicky & iPTF16geu: constraints on the lens galaxy mass slope and dark compact object fraction. Submitted to the Open Journal of Astrophysics. [pre-print]
Larison, C., Pierel, J.D.R., Newman, M.J.B., Jha, S.W., Gilman, D., Hayes, E.E., for the LensWatch collaboration, 2025. LensWatch: II. Improved Photometry and Time Delay Constraints on the Strongly-Lensed Type Ia Supernova 2022qmx (“SN Zwicky”) with HST Template Observations. [pre-print][ApJ]
Angeloudi, E., ..., Hayes, E.E., et al., for the Multimodal Universe Collaboration, 2024. The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data. [pre-print] [RNAAS] [NeurIPS Poster] [Github]
Pessi, P.J., Durgesh, R., Nakazono, L., Hayes, E.E., et al., for the COIN collaboration, 2024. ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients. [pre-print] [A&A]
Grayling, M., Thorp, S., Mandel, K.S., Dhawan, S., Uzsoy, A.S., Boyd, B.M., Hayes, E.E., Ward S.M., 2023. Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift. [pre-print] [MNRAS] [Github]
Aleo, P.D., ..., Hayes, E.E., et al., 2023. The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae. [pre-print] [ApJS]