All Publications

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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G. Intini, P. Leaci, P. Astone, S.D.' Antonio, S. Frasca, I. La Rosa, Andrew L. Miller, C. Palomba, O. Piccinni (2020). A Doppler-modulation based veto to discard false continuous gravitational-wave candidates. Class. Quant. Grav. 37(22) 225007.
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Andrew L. Miller (2019). Using machine learning and the Hough Transform to search for gravitational waves due to r-mode emission by isolated neutron stars.
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Antonis Mytidis, Athanasios Aris Panagopoulos, Orestis P. Panagopoulos, Andrew L. Miller, Bernard Whiting (2019). Sensitivity study using machine learning algorithms on simulated r-mode gravitational wave signals from newborn neutron stars. Phys. Rev. D 99(2) 024024.
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