Publications

    1. Liu, C., Miller, A.A. (2026). HostSub_GP: Precise Galaxy Background Subtraction in Transient Long-slit Spectroscopy with Gaussian Processes. PASP 138 (2), 024503. doi:10.1088/1538-3873/ae3cc1
    2. Banaszak, S., Witt, C., Miller, A. (2026). Optimizing Optical Searches for Supermassive Black Hole Binaries in AGN Light Curves: Fourier versus Bayesian Periodicity Detection. arXiv e-prints, arXiv:2601.15379. doi:10.48550/arXiv.2601.15379
    3. Rehemtulla, N., Miller, A.A., Walmsley, M., Shah, V.G., Jegou du Laz, T., Coughlin, M.W., Sasli, A., Bloom, J., Fremling, C., Graham, M.J., et al. (2025). Pre-training vision models for the classification of alerts from wide-field time-domain surveys. arXiv e-prints, arXiv:2512.11957. doi:10.48550/arXiv.2512.11957
    4. Rehemtulla, N., Coughlin, M.W., Miller, A.A., du Laz, T.J. (2025). The automation of optical transient discovery and classification in Rubin-era time-domain astronomy. Nature Astronomy 9, 1764-1769. doi:10.1038/s41550-025-02720-6
    5. Kwok, L.A., Liu, C., Jha, S.W., Blondin, S., Larison, C., Miller, A.A., Dai, M., Foley, R.J., Filippenko, A.V., Andrews, M., et al. (2025). JWST Spectroscopy of SN Ia 2022aaiq and 2024gy: Evidence for Enhanced Central Stable Ni Abundance and a Deflagration-to-Detonation Transition. arXiv, arXiv:2510.09760.
    6. Li, W., Chen, H.Y., Lin, Q., Rehemtulla, N., Shah, V.G., Wu, D., Miller, A.A., Liu, H. (2025). StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars. arXiv e-prints, arXiv:2510.06200. doi:10.48550/arXiv.2510.06200
    7. Miller, A.A., Abrams, N.S., Aldering, G., Anand, S., Angus, C.R., Arcavi, I., Baltay, C., Bauer, F.E., Brethauer, D., Bloom, J.S., et al. (2025). The La Silla Schmidt Southern Survey. PASP 137 (9), 094204. doi:10.1088/1538-3873/ae02c5
    8. Liu, C., Miller, A.A., Bloom, J.S., Knop, R.A., Nugent, P.E. (2025). A Morphological Model to Separate Resolved–Unresolved Sources in the DESI Legacy Surveys: Application in the LS4 Alert Stream. PASP 137 (8), 084501. doi:10.1088/1538-3873/adf7db
    9. Schulze, S., Gal-Yam, A., Dessart, L., Miller, A.A., Woosley, S.E., Yang, Y., Bulla, M., Yaron, O., Sollerman, J., Filippenko, A.V., et al. (2025). Extremely stripped supernova reveals a silicon and sulfur formation site. Nature 644 (8077), 634-639. doi:10.1038/s41586-025-09375-3
    10. Kwok, L.A., Singh, M., Jha, S.W., Blondin, S., Dastidar, R., Larison, C., Miller, A.A., Andrews, J.E., Andrews, M., Anupama, G., et al. (2025). JWST and Ground-based Observations of the Type Iax Supernovae SN 2024pxl and SN 2024vjm: Evidence for Weak Deflagration Explosions. ApJL 989 (2), L33. doi:10.3847/2041-8213/adf062
    11. Rehemtulla, N., Jacobson-Galán, W., Singh, A., Miller, A.A., Kilpatrick, C.D., Hinds, K.R., Liu, C., Schulze, S., Sollerman, J., Jegou du Laz, T., et al. (2025). The BTSbot-nearby Discovery of SN 2024jlf: Rapid, Autonomous Follow-up Probes Interaction in an 18.5 Mpc Type IIP Supernova. ApJ 985 (2), 241. doi:10.3847/1538-4357/adcf1e
    12. Rehemtulla, N., Miller, A.A., Jegou Du Laz, T., Coughlin, M.W., Fremling, C., Perley, D.A., Qin, Y.J., Sollerman, J., Mahabal, A.A., Laher, R.R., et al. (2024). The Zwicky Transient Facility Bright Transient Survey. III. BTSbot: Automated Identification and Follow-up of Bright Transients with Deep Learning. ApJ 972 (1), 7. doi:10.3847/1538-4357/ad5666
    13. Liu, C., Miller, A.A., Boos, S.J., Shen, K.J., Townsley, D.M., Schulze, S., Harvey, L., Maguire, K., Johansson, J., Brink, T.G., et al. (2023). SN 2022joj: A Peculiar Type Ia Supernova Possibly Driven by an Asymmetric Helium-shell Double Detonation. ApJ 958 (2), 178. doi:10.3847/1538-4357/acffc9
    14. Liu, C., Miller, A.A., Polin, A., Nugent, A.E., De, K., Nugent, P.E., Schulze, S., Gal-Yam, A., Fremling, C., Anand, S., et al. (2023). SN 2020jgb: A Peculiar Type Ia Supernova Triggered by a Helium-shell Detonation in a Star-forming Galaxy. ApJ 946 (2), 83. doi:10.3847/1538-4357/acbb5e
    15. Rehemtulla, N., Miller, A., Coughlin, M., Jegou Du Laz, T. (2023). BTSbot: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility. , 27.