Publications

Rosofsky, S., Gold, R., Chirenti, C., Huerta, E. A., & Miller, M. C. (2019). Probing neutron star structure via f-mode oscillations and damping in dynamical spacetime models. Phys.Rev., D99(8), 084024. https://doi.org/10.1103/PhysRevD.99.084024 Cite

Foucart, F., Duez, M. D., Hinderer, T., Caro, J., Williamson, A. R., Boyle, M., Buonanno, A., Haas, R., Hemberger, D. A., & Kidder, L. E. (2019). Gravitational waveforms from spectral Einstein code simulations: Neutron star-neutron star and low-mass black hole-neutron star binaries. \prd, 99(4), 044008. https://doi.org/10.1103/PhysRevD.99.044008 Cite

Huerta, E. A., Haas, R., Habib, S., Gupta, A., Rebei, A., Chavva, V., Johnson, D., Rosofsky, S., Wessel, E., & Agarwal, B. (2019). The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective. ArXiv E-Prints, arXiv:1901.07038. Cite

Markakis, C. M., O’Boyle, M. F., Glennon, D., Tran, K., Brubeck, P., Haas, R., Schive, H.-Y., & Uryū, K. (2019). Time-symmetry, symplecticity and stability of Euler-Maclaurin and Lanczos-Dyche integration. ArXiv E-Prints, arXiv:1901.09967. Cite

Allen, G., Andreoni, I., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Carrasco Kind, M., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., George, D., Gibbs, T., Graham, M., Gropp, W., Gupta, A., Haas, R., Huerta, E. A., Jennings, E., … Zhao, Z. (2019). Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. ArXiv E-Prints. https://ui.adsabs.harvard.edu/abs/2019arXiv190200522A Cite

Huerta, E. A., Haas, R., Jha, S., Neubauer, M., & Katz, D. S. (2018). Supporting High-Performance and High-Throughput Computing for Experimental Science. ArXiv E-Prints, arXiv:1810.03056. Cite

Chan, J. H. H., Schive, H.-Y., Woo, T.-P., & Chiueh, T. (2018). How do stars affect $\psi$DM halos? Monthly Notices of the Royal Astronomical Society, 478(2), 2686–2699. https://doi.org/10.1093/mnras/sty900 Cite

Belkin, M., Haas, R., Arnold, G. W., Leong, H. W., Huerta, E. A., Lesny, D., & Neubauer, M. (2018). Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. ArXiv E-Prints, arXiv:1808.00556. Cite

Rebei, A., Huerta, E. A., Wang, S., Habib, S., Haas, R., Johnson, D., & George, D. (2018). Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers. ArXiv E-Prints, arXiv:1807.09787. Cite

Zhang, U.-H., Schive, H.-Y., & Chiueh, T. (2018). Magnetohydrodynamics with GAMER. The Astrophysical Journal Supplement Series, 236(2), 50. https://doi.org/10.3847/1538-4365/aac49e Cite

Leung, E., Broadhurst, T., Lim, J., Diego, J. M., Chiueh, T., Schive, H.-Y., & Windhorst, R. (2018). Magnification Bias of Distant Galaxies in the Hubble Frontier Fields: Testing Wave vs. Particle Dark Matter Predictions. ArXiv:1806.07905 [Astro-Ph]. http://arxiv.org/abs/1806.07905 Cite

Lin, S.-C., Schive, H.-Y., Wong, S.-K., & Chiueh, T. (2018). Self-consistent construction of virialized wave dark matter halos. Physical Review D, 97(10). https://doi.org/10.1103/PhysRevD.97.103523 Cite

George, D., Shen, H., & Huerta, E. A. (2018). Glitch Classification and Clustering for LIGO with Deep Transfer Learning. Physical Review D, 97(10). https://doi.org/10.1103/PhysRevD.97.101501 Cite

Huerta, E. A., George, D., Zhao, Z., & Allen, G. (2018). Real-time regression analysis with deep convolutional neural networks. ArXiv:1805.02716 [Astro-Ph, Stat]. http://arxiv.org/abs/1805.02716 Cite

Huerta, E. A., George, D., Zhao, Z., & Allen, G. (2018). Real-time regression analysis with deep convolutional neural networks. ArXiv E-Prints, arXiv:1805.02716. Cite

Nouri, F. H., Duez, M. D., Foucart, F., Deaton, M. B., Haas, R., Haddadi, M., Kidder, L. E., Ott, C. D., Pfeiffer, H. P., Scheel, M. A., & Szilagyi, B. (2018). Evolution of the Magnetized, Neutrino-Cooled Accretion Disk in the Aftermath of a Black Hole Neutron Star Binary Merger. Physical Review D, 97(8). https://doi.org/10.1103/PhysRevD.97.083014 Cite

Holgado, A. M., Ricker, P. M., & Huerta, E. A. (2018). Gravitational Waves from Accreting Neutron Stars undergoing Common-Envelope Inspiral. The Astrophysical Journal, 857(1), 38. https://doi.org/10.3847/1538-4357/aab6a9 Cite

Dietrich, T., Khan, S., Dudi, R., Kapadia, S. J., Kumar, P., Nagar, A., Ohme, F., Pannarale, F., Samajdar, A., Bernuzzi, S., Carullo, G., Del Pozzo, W., Haney, M., Markakis, C., Puerrer, M., Riemenschneider, G., Setyawati, Y. E., Tsang, K. W., & Broeck, C. V. D. (2018). Matter imprints in waveform models for neutron star binaries: tidal and self-spin effects. ArXiv:1804.02235 [Astro-Ph, Physics:Gr-Qc]. http://arxiv.org/abs/1804.02235 Cite

George, D., & Huerta, E. A. (2018). Deep Neural Networks to Enable Real-time Multimessenger Astrophysics. Physical Review D, 97(4). https://doi.org/10.1103/PhysRevD.97.044039 Cite

Johnson, D., Huerta, E. A., & Haas, R. (2018). Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations. Classical and Quantum Gravity, 35(2), 027002. https://doi.org/10.1088/1361-6382/aa9cad Cite

Huerta, E. A., Moore, C. J., Kumar, P., George, D., Chua, A. J. K., Haas, R., Wessel, E., Johnson, D., Glennon, D., Rebei, A., Holgado, A. M., Gair, J. R., & Pfeiffer, H. P. (2018). Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers. Physical Review D, 97(2). https://doi.org/10.1103/PhysRevD.97.024031 Cite

Schive, H.-Y., & Chiueh, T. (2018). Halo Abundance and Assembly History with Extreme-Axion Wave Dark Matter at $z\ge 4$. Monthly Notices of the Royal Astronomical Society: Letters, 473(1), L36–L40. https://doi.org/10.1093/mnrasl/slx159 Cite

George, D., & Huerta, E. A. (2018). Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data. Physics Letters B, 778, 64–70. https://doi.org/10.1016/j.physletb.2017.12.053 Cite

Mösta, P., Roberts, L. F., Halevi, G., Ott, C. D., Lippuner, J., Haas, R., & Schnetter, E. (2017). R-process Nucleosynthesis from Three-Dimensional Magnetorotational Core-Collapse Supernovae. ArXiv:1712.09370 [Astro-Ph]. http://arxiv.org/abs/1712.09370 Cite

Schive, H.-Y., ZuHone, J. A., Goldbaum, N. J., Turk, M. J., Gaspari, M., & Cheng, C.-Y. (2017). GAMER-2: a GPU-accelerated adaptive mesh refinement code -- accuracy, performance, and scalability. ArXiv:1712.07070 [Astro-Ph]. http://arxiv.org/abs/1712.07070 Cite

The LIGO Scientific Collaboration, the Virgo Collaboration, Abbott, B. P., Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Agarwal, B., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., … Zweizig, J. (2018). Properties of the binary neutron star merger GW170817. ArXiv:1805.11579 [Astro-Ph, Physics:Gr-Qc]. http://arxiv.org/abs/1805.11579 Cite

The LIGO Scientific Collaboration, the Virgo Collaboration, Abbott, B. P., Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Agarwal, B., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., … Zweizig, J. (2018). GW170817: Measurements of neutron star radii and equation of state. ArXiv:1805.11581 [Astro-Ph, Physics:Gr-Qc]. http://arxiv.org/abs/1805.11581 Cite

The LIGO Scientific Collaboration, the Virgo Collaboration, Abbott, B. P., Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Afrough, M., Agarwal, B., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., … Zweizig, J. (2018). A Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background. Physical Review Letters, 120(20). https://doi.org/10.1103/PhysRevLett.120.201102 Cite

The LIGO Scientific Collaboration, the Virgo Collaboration, Abbott, B. P., Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Afrough, M., Agarwal, B., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., … Zweizig, J. (2018). Full Band All-sky Search for Periodic Gravitational Waves in the O1 LIGO Data. Physical Review D, 97(10). https://doi.org/10.1103/PhysRevD.97.102003 Cite

The LIGO Scientific Collaboration, the Virgo Collaboration, Abbott, B. P., Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Afrough, M., Agarwal, B., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., … Zweizig, J. (2018). Constraints on cosmic strings using data from the first Advanced LIGO observing run. Physical Review D, 97(10). https://doi.org/10.1103/PhysRevD.97.102002 Cite

Arzoumanian, Z., Baker, P. T., Brazier, A., Burke-Spolaor, S., Chamberlin, S. J., Chatterjee, S., Christy, B., Cordes, J. M., Cornish, N. J., Crawford, F., Cromartie, H. T., Crowter, K., DeCesar, M., Demorest, P. B., Dolch, T., Ellis, J. A., Ferdman, R. D., Ferrara, E., Folkner, W. M., … Zhu, W. W. (2018). The NANOGrav 11-year Data Set: Pulsar-timing Constraints On The Stochastic Gravitational-wave Background. The Astrophysical Journal, 859(1), 47. https://doi.org/10.3847/1538-4357/aabd3b Cite

Arzoumanian, Z., Brazier, A., Burke-Spolaor, S., Chamberlin, S., Chatterjee, S., Christy, B., Cordes, J. M., Cornish, N. J., Crawford, F., Cromartie, H. T., Crowter, K., DeCesar, M. E., Demorest, P. B., Dolch, T., Ellis, J. A., Ferdman, R. D., Ferrara, E. C., Fonseca, E., Garver-Daniels, N., … Zhu, W. (2018). The NANOGrav 11-year Data Set: High-precision timing of 45 Millisecond Pulsars. The Astrophysical Journal Supplement Series, 235(2), 37. https://doi.org/10.3847/1538-4365/aab5b0 Cite

Brazier, A., Cordes, J. M., Dieng, A., Ferdman, R., Garver-Daniels, N., hawkins, steven, Hendrick, J., Huerta, E., Lam, M. T., Lazio, T. J. W., Lynch, R. S., & NANOGrav Consortium. (2016). Open Source Science: The Gravitational Wave Processing-Enabled Archive for NANOGrav. 227, 348.24. http://adsabs.harvard.edu/abs/2016AAS...22734824B Cite

Taylor, S., Gair, J., Huerta, E., & McWilliams, S. (2015, April 1). Searching for GW signals from eccentric supermassive black-hole binaries with pulsar-timing arrays. APS Meeting Abstracts. http://adsabs.harvard.edu/abs/2015APS..APRB14007T Cite