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We present a comprehensive study of the effectiveness of Convolution Neural Networks (CNNs) to detect long duration transient gravitational-wave signals lasting $O(hours-days)$ from isolated neutron stars.
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A high braking index for a pulsar
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The braking index of a radio-quiet gamma-ray pulsar
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Abbott, B. P., et al · 2017
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Lasky, P. D., Leris, C., Rowlinson, A., and Glampedakis, K · 2017
Method to search for long duration gravitational wave transients from isolated neutron stars using the generalized frequency-hough transform
Miller, A., Astone, P., D’Antonio, S., Frasca, S., Intini, G., La Rosa, I., Leaci, P., Mastrogiovanni, S., Muciaccia, F., Palomba, C., Piccinni, O. J., Singhal, A., and Whiting, B. F · 2018
Later among the works it cites.
A new data analysis framework for the search of continuous gravitational wave signals
Piccinni, O., Astone, P., D’Antonio, S., Frasca, S., Intini, G., Leaci, P., Mastrogiovanni, S., Miller, A., Palomba, C., and Singhal, A · 2018
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X-ray guided gravitational-wave search for binary neutron star merger remnants
Sarin, N., Lasky, P. D., Sammut, L., and Ashton, G · 2018
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All-sky search for continuous gravitational waves from isolated neutron stars using advanced ligo o2 data
Abbott, B., Abbott, R., Abbott, T., Abraham, S., Acernese, F., Ackley, K., Adams, C., Adhikari, R., Adya, V., Affeldt, C., et al · 2019
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Search for gravitational waves from a long-lived remnant of the binary neutron star merger GW170817
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Cited alongside, same era.
Recent searches for continuous gravitational waves
Riles, K · 2017
Cited alongside, same era.
Abbott, B., Abbott, R., Abbott, T., Abraham, S., Acernese, F., Ackley, K., Adams, C., Adhikari, R., Adya, V., Affeldt, C., et al · 2018
Cited alongside, same era.
New method to observe gravitational waves emitted by core collapse supernovae
Astone, P., Cerdá-Durán, P., Di Palma, I., Drago, M., Muciaccia, F., Palomba, C., and Ricci, F · 2018
Cited alongside, same era.
Identification and mitigation of narrow spectral artifacts that degrade searches for persistent gravitational waves in the first two observing runs of Advanced LIGO
Covas, P., et al · 2018
Cited alongside, same era.
Matching matched filtering with deep networks for gravitational-wave astronomy
Gabbard, H., Williams, M., Hayes, F., and Messenger, C · 2018
Cited alongside, same era.
Deep learning for real-time gravitational wave detection and parameter estimation: Results with advanced ligo data
George, D., and Huerta, E · 2018
Cited alongside, same era.
Abbott, B. P., et al · 2019
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Codes to create sfdbs and o2 used time segments
Astone, P., et al · 2019
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Deep-learning continuous gravitational waves
Dreissigacker, C., Sharma, R., Messenger, C., Zhao, R., and Prix, R · 2019
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et al., B. A · 2019
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Convolutional neural networks: a magic bullet for gravitational-wave detection?
Gebhard, T. D., Kilbertus, N., Harry, I., and Schölkopf, B · 2019
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Keitel, D., Woan, G., Pitkin, M., Schumacher, C., Pearlstone, B., Riles, K., Lyne, A. G., Palfreyman, J., Stappers, B., and Weltevrede, P · 2019
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Sensitivity study using machine learning algorithms on simulated r r -mode gravitational wave signals from newborn neutron stars
Mytidis, A., Panagopoulos, A. A., Panagopoulos, O. P., Miller, A., and Whiting, B · 2019
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Adaptive transient hough method for long-duration gravitational wave transients
Oliver, M., Keitel, D., and Sintes, A. M · 2019
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Application of hidden markov model tracking to the search for long-duration transient gravitational waves from the remnant of the binary neutron star merger gw170817
Sun, L., and Melatos, A · 2019
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