Publications

Iuri La Rosa, Pia Astone, Sabrina D\textquoterightAntonio, 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.
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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..
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Ornella J. Piccinni, P. Astone, S. D'Antonio, S. Frasca, G. Intini, I. La Rosa, P. Leaci, S. Mastrogiovanni, A. 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.
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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..
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G. Intini, P. Leaci, P. Astone, S.D.' Antonio, S. Frasca, I. La Rosa, A. Miller, C. Palomba, O. Piccinni (2020). A Doppler-modulation based veto to discard false continuous gravitational-wave candidates. Class. Quant. Grav..
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Andrew L. miller (2019). An example preprint / working paper.
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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.
Cite DOI arXiv