APS April Meeting 2019
Volume 64, Number 3
Saturday–Tuesday, April 13–16, 2019;
Denver, Colorado
Session Index
Session Y10: Gravitational Waves: Data Analysis Techniques 2
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Sponsoring Units: DGRAV
Chair: Karan Jani, Georgia Tech
Room: Sheraton Governor's Square 12
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Tuesday, April 16, 2019
1:30PM - 1:42PM
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Y10.00001: Integrated approaches to deep learning in gravitational-wave signal modeling and statistical inference
Alvin J. K. Chua
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Tuesday, April 16, 2019
1:42PM - 1:54PM
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Y10.00002: NNETFIX: A neural network to 'fix' Gravitational Wave signals overlapping with short-duration glitches in LIGO-Virgo data.
Sumeet Kulkarni, Marco Cavaglia
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Tuesday, April 16, 2019
1:54PM - 2:06PM
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Y10.00003: A new method to find the origin of glitches in ground-based gravitational-wave detectors
Kentaro Mogushi, Massimiliano Razzano, Marco Cavaglia, Giancarlo Cella, Giorgio Nicolini
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Tuesday, April 16, 2019
2:06PM - 2:18PM
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Y10.00004: Rapid parameter estimation for compact binary coalescence events in LIGO data
Sinead Walsh
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Tuesday, April 16, 2019
2:18PM - 2:30PM
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Y10.00005: Background reduction in LIGO-Virgo searches for supernova signals with machine learning
Marco Cavaglia, Sergio Gaudio, Travis James Hansen, Kai Staats, Marek Szczepanczyk, Michele Zanolin
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Tuesday, April 16, 2019
2:30PM - 2:42PM
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Y10.00006: The impact of LIGO noise transients on accurate gravitational-wave event skymaps
Jess McIver, Thomas J Massinger, Derek Davis, Laura Kate Nuttall, Vivien Raymond, Rory Smith
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Tuesday, April 16, 2019
2:42PM - 2:54PM
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Y10.00007: Strain Histograms for Evaluating Continuous Gravitational Wave Candidates
Grant Weldon, Keith Riles
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Tuesday, April 16, 2019
2:54PM - 3:06PM
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Y10.00008: Modern Pulsar Timing Array Sensitivity Curves
Jeffrey Shafiq Hazboun
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Tuesday, April 16, 2019
3:06PM - 3:18PM
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Y10.00009: The "Dropout Method”: A Bayesian technique for identifying spurious signals in pulsar timing arrays
Sarah J Vigeland, Michele Vallisneri, Stephen R Taylor
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