E-LIB Suche - Ergebnisse für: Gabbard, Hunter

1

Mimicking mergers: mistaking black hole captures as mergers:

Guo, Weichangfeng ; Williams, Daniel ; Heng, Ik Siong...
Monthly Notices of the Royal Astronomical Society. 516 (2022) 3 - p. 3847-3860 , 2022

Link: https://doi.org/10.1093/..

2

Bayesian parameter estimation using conditional variational..:

Gabbard, Hunter ; Messenger, Chris ; Heng, Ik Siong..
Nature Physics. 18 (2021) 1 - p. 112-117 , 2021

Link: https://doi.org/10.1038/..

3

Enhancing gravitational-wave science with machine learning:

Cuoco, Elena ; Powell, Jade ; Cavaglià, Marco...
Machine Learning: Science and Technology. 2 (2020) 1 - p. 011002 , 2020

Link: https://doi.org/10.1088/..

4

Matching Matched Filtering with Deep Networks for Gravitati..:

Gabbard, Hunter ; Williams, Michael ; Hayes, Fergus.
Physical Review Letters. 120 (2018) 14 - p. , 2018

Link: https://doi.org/10.1103/..

5

Mimicking Mergers: Mistaking Black Hole Captures as Mergers:

Guo, Weichangfeng ; Williams, Daniel ; Heng, Ik Siong...
doi:10.5281/zenodo.6384509. , 2022

Link: https://zenodo.org/recor..

6

Mimicking Mergers: Mistaking Black Hole Captures as Mergers:

Guo, Weichangfeng ; Williams, Daniel ; Heng, Ik Siong...
http://arxiv.org/abs/2203.06969. , 2022

Link: http://arxiv.org/abs/220..

7

Enhancing gravitational-wave science with machine learning:

Cuoco, Elena ; Powell, Jade ; Cavaglià, Marco...
https://arxiv.org/abs/2005.03745. , 2021

Link: https://doi.org/10.1088/..

8

Enhancing Gravitational-Wave Science with Machine Learning:

Cuoco, Elena ; Powell, Jade ; Cavaglià, Marco...
http://arxiv.org/abs/2005.03745. , 2020

Link: http://arxiv.org/abs/200..

9

Bayesian parameter estimation using conditional variational..:

Gabbard, Hunter ; Messenger, Chris ; Heng, Ik Siong..
http://arxiv.org/abs/1909.06296. , 2019

Link: http://arxiv.org/abs/190..

10

Ground motion prediction at gravitational wave observatorie..:

Mukund, Nikhil ; Coughlin, Michael ; Harms, Jan...
http://arxiv.org/abs/1812.05185. , 2018

Link: http://arxiv.org/abs/181..

11

Matching matched filtering with deep networks for gravitati..:

Gabbard, Hunter ; Williams, Michael ; Hayes, Fergus.
https://eprints.gla.ac.uk/159638/1/159638.pdf. , 2018

Link: https://eprints.gla.ac.u..

12

Matching matched filtering with deep networks in gravitatio..:

Gabbard, Hunter ; Williams, Michael ; Hayes, Fergus.
http://arxiv.org/abs/1712.06041. , 2017

Link: http://arxiv.org/abs/171..

13

A Study on the Characterization and Implementation of Tools..:

Gabbard, Hunter
http://thesis.honors.olemiss.edu/577/1/Honors_Thesis.pdf. , 2016

Link: http://thesis.honors.ole..

14

Limiting the effects of earthquakes on gravitational-wave i..:

Coughlin, Michael ; Earle, Paul ; Harms, Jan...
http://arxiv.org/abs/1611.09812. , 2016

Link: http://arxiv.org/abs/161..

15

Enhancing Gravitational-Wave Science with Machine Learning:

Cuoco, Elena ; Powell, Jade ; Cavaglià, Marco...
https://arxiv.org/abs/2005.03745. ,

Link: http://hdl.handle.net/11..