Projects with GWOSC data

Some examples of projects using GWOSC data are shown on this page.

Listing a project here does not imply endorsement by LIGO Laboratory, the LIGO Scientific Collaboration or the Virgo Collaboration.

If you have completed a project with GWOSC data, please let us know!

Student Ashley Disbrow presents her work at the 2014 American Astronomical Society meeting in Washington, DC.

Student Emma Wadley created the installation art, titled Void (2016), shown above. Her artist statement includes this description: "I have used black paper to represent fear through the colour associated with death, shadows and the deepest nights ... The addition of light creates an eerie iridescence and the soundscape aims to unnerve and intrigue through otherworldly noise of Gravitational waves and the Mariana Trench."

Scientific Publications

Below are the most recent publications citing GWOSC, based on a query to INSPIRE.

1) Can wormholes mirror the quasi-normal mode spectrum of Schwarzschild black holes?

Ciro De Simone, Vittorio De Falco, Salvatore Capozziello

arxiv:2502.12646 | INSPIRE

2) Sampling the full hierarchical population posterior distribution in gravitational-wave astronomy

Michele Mancarella, Davide Gerosa

arxiv:2502.12156 | INSPIRE

3) Looking To The Horizon: Probing Evolution in the Black Hole Spectrum With GW Catalogs

Jam Sadiq, Thomas Dent, Ana Lorenzo Medina

arxiv:2502.06451 | INSPIRE

4) Quantum variational rewinding for gravitational wave detection

Benjamin Rodrigues de Miranda, Domenica Dibenedetto, Niels Neumann, et al.

INSPIRE

5) Complementary signatures of $\alpha-$attractor inflation in CMB and cosmic string Gravitational Waves

Mainak Baidya, Anish Ghoshal, David F. Mota

arxiv:2502.03557 | INSPIRE

6) The Proper Motion of Strongly Lensed Binary Neutron Star Mergers in LIGO/Virgo/Kagra can be Constrained by Measuring Doppler Induced Gravitational Wave Dephasing

Lorenz Zwick, Johan Samsing

arxiv:2502.03547 | INSPIRE

7) A $\chi^2$ statistic for the identification of strongly lensed gravitational waves from compact binary coalescences

Sudhir Gholap, Kanchan Soni, Shasvath J. Kapadia, et al.

arxiv:2502.00844 | INSPIRE

8) DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning

Tom Dooney, Harsh Narola, Stefano Bromuri, et al.

arxiv:2501.18423 | INSPIRE

9) Multi-Messenger and Cosmological Constraints on Dark Matter through Two-Fluid Neutron Star Modeling

Ankit Kumar, Sudhakantha Girmohanta, Hajime Sotani

arxiv:2501.16829 | INSPIRE

10) Reconstructing parametric gravitational-wave population fits from non-parametric results without refitting the data

Cecilia Maria Fabbri, Davide Gerosa, Alessandro Santini, et al.

arxiv:2501.17233 | INSPIRE

11) PRINCESS: Prediction of compact binaries observations with gravitational waves

Carole PĂ©rigois

arxiv:2501.16127 | INSPIRE

12) A Possible Mass Ratio and Spin-Orbit Misalignment Correlation for Mergers of Binary Black Holes in Nuclear Star Clusters

Yubo Su

arxiv:2501.16258 | INSPIRE

13) Sky localization of gravitational waves from eccentric binaries

Souradeep Pal

arxiv:2501.11601 | INSPIRE

14) Black holes immersed in polytropic scalar field gas

Y. Sekhmani, S. Zare, L.M. Nieto, et al.

arxiv:2501.10874 | INSPIRE

15) No evidence that the binary black hole mass distribution evolves with redshift

Max Lalleman, Kevin Turbang, Thomas Callister, et al.

arxiv:2501.10295 | INSPIRE

16) Modelling noise in gravitational-wave observatories with transdimensional models

Nir Guttman, Paul D. Lasky, Eric Thrane

arxiv:2501.03285 | INSPIRE

17) Search for continuous gravitational wave signals from luminous dark photon superradiance clouds with LVK O3 observations

Lorenzo Mirasola, Cristina Mondino, Francesco Amicucci, et al.

arxiv:2501.02052 | INSPIRE

18) A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run

Ryan Raikman, Eric A. Moreno, Katya Govorkova, et al.

arxiv:2412.19883 | INSPIRE

19) Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning

Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, et al.

INSPIRE

20) Search for a gravitational wave background from primordial black hole binaries using data from the first three LIGO-Virgo-KAGRA observing runs

Tore Boybeyi, Sebastien Clesse, Sachiko Kuroyanagi, et al.

arxiv:2412.18318 | INSPIRE

Other Projects

Student projects at SUNY New Paltz (Starting in 2021)

Student projects mentored by Eric Myers

Final papers: Spy Hill Research

Pioneer Academics student projects (2015-2021)

Student projects mentored by Eric Myers

Final Papers: Spy Hill Research

Effect of Low Frequency Noise in Detection of Gravitational Waves

Baisakhi Mitra

Report on github

Gravitational Wave Events (iPhone App)

Peter Kramer

Available from Apple

Evidence for Small-Strain Burst Sources Proliferating in Enhanced-LIGO Time Series Data

Stanley W. Wong and Baokun Gu Report on Google Docs

Calculating detection ranges for binary black holes

Bassel Heiba Code on github

GW150914 Kaggle Projects

Created by Elena Cuoco GW150914 data in Kaggle

Online Course - LIGO: Detecting Gravitational Waves

Created at Sonoma State University by Lynn Cominsky SSU LIGO Courses | 2016 Course

Art Installation: Void

Emma Wadley See photo above

Modified LIGO data analysis notebook

Valentin Baillard Azure | mybinder | github

Physics From Planet Earth homework problems

Joe Amato and Enrique (Kiko) Galvez See Gravitational Radiation 2 and Gravitational Radiation 3

Non-Gaussian noise and data analysis of laser interferometric gravitational wave detectors

Takahiro Yamamoto, Ph.D. Thesis See JGW-P1605355

Gravitational Wave Detection in the Introductory Lab

Lior M. BurkoGeorgia Gwinnett College, See arxiv:1602.04666

Pioneer Academics student projects

Projects mentored by Eric Myers Final papers: Jinghong Liang | William Li

Searching for Compact Binaries in LIGO Data

Shannon Wang Date Completed: September 2014 Report: Paper

Recovering S5 Burst Injections

Alexander Cole Date Completed: May 2014 Presentation: Paper | Slides

S5 Data Time Dependence of Duty Cycles and Spacetime Detection Volumes

Gary LaMotte Date Completed: April 2014 Presentation: Slides

Recovering Hardware Injections in LIGO S5 Data

Ashley Disbrow Date Completed: September 2013 Presentations: Poster | Slides


Share your own GWOSC data project

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