All Publications

Andrew L. Miller, S\'ebastien Clesse, Federico De Lillo, Giacomo Bruno, Antoine Depasse, Andres Tanasijczuk (2021). Probing planetary-mass primordial black holes with continuous gravitational waves. Phys. Dark Univ. 32 100836.
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Andrew L. Miller, Others (2021). Probing new light gauge bosons with gravitational-wave interferometers using an adapted semi-coherent method. Phys. Rev. D 103(10) 103002.
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R. Abbott, Others (2021). Diving below the Spin-down Limit: Constraints on Gravitational Waves from the Energetic Young Pulsar PSR J0537-6910. Astrophys. J. Lett. 913 L27.
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Iuri La Rosa, Pia Astone, Sabrina D'Antonio, Sergio Frasca, Paola Leaci, Andrew Lawrence Miller, Cristiano Palomba, Ornella Juliana Piccinni, Lorenzo Pierini, Tania Regimbau (2021). Continuous Gravitational-Wave Data Analysis with General Purpose Computing on Graphic Processing Units. Universe 7(7) 218.
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Andrew L. Miller, Others (2020). Using gravitational-wave interferometers as particle detectors to directly probe the existence of dark matter. Letter of Intent for Snowmass 2021.
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Ling Sun, Cristiano Palomba, Andrew L. Miller (2020). Snowmass2021-Letter of Interest Search for gravitational waves from ultralight boson clouds around black holes. Letter of Intent for Snowmass 2021.
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R. Abbott, Others (2020). Gravitational-wave Constraints on the Equatorial Ellipticity of Millisecond Pulsars. Astrophys. J. Lett. 902(1) L21.
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Ornella J. Piccinni, P. Astone, S. D'Antonio, S. Frasca, G. Intini, I. La Rosa, P. Leaci, S. Mastrogiovanni, Andrew L. Miller, C. Palomba (2020). Directed search for continuous gravitational-wave signals from the Galactic Center in the Advanced LIGO second observing run. Phys. Rev. D 101(8) 082004.
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I. M. Romero-Shaw, Others (2020). Bayesian inference for compact binary coalescences with bilby: validation and application to the first LIGO-Virgo gravitational-wave transient catalogue. Mon. Not. Roy. Astron. Soc. 499(3) 3295–3319.
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Deep Chatterjee, Shaon Ghosh, Patrick R. Brady, Shasvath J. Kapadia, Andrew L. Miller, Samaya Nissanke, Francesco Pannarale (2020). A Machine Learning Based Source Property Inference for Compact Binary Mergers. Astrophys. J. 896(1) 54.
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