International Conference on Machine Learning for Astrophysics - ML4Astro

Session

Outreach and Citizen Science

1 Jun 2022, 16:00

Catania

Conveners

Outreach and Citizen Science

• Francesco Schilliro' (Istituto Nazionale di Astrofisica (INAF))

42. GWitchHunters - Machine Learning and Citizen Science to support Gravitational Wave detection

Massimiliano Razzano (University of Pisa and INFN-Pisa)

01/06/2022, 16:00

Oral Presentation

Gravitational waves opened a new window on the Universe and paved the way to a new era of multimessenger observations. Ground-based detectors such as Advanced LIGO and Virgo have been extremely successful in detecting gravitational wave signals from the coalescences of black holes and/or neutron stars. In order to improve over the actual sensitivities, the background noise must be investigated...

43. Citizen Science and Machine Learning: Towards a Robust Large-Scale Automatic Classification in Astronomy

Manuel Jiménez (Instituto de Astrofísica de Andalucía (IAA-CSIC))

01/06/2022, 16:20

Oral Presentation

Citizen science, traditionally known as the engagement of amateur participants in research, is demonstrating a great potential for large-scale processing of data. Using the power of the web, virtual communities of volunteers have been able to coordinate the classification of hundreds of thousands of images in a reasonable amount of time. In areas such as astronomy or geo-sciences, where...

133. Citizen Science and Machine Learning: Towards a Robust Large-Scale Automatic Classification in Astronomy

Manuel Jiménez (Instituto de Astrofísica de Andalucía (IAA-CSIC))

Oral Presentation

Citizen science, traditionally known as the engagement of amateur participants in research, is demonstrating a great potential for large-scale processing of data. Using the power of the web, virtual communities of volunteers have been able to coordinate the classification of hundreds of thousands of images in a reasonable amount of time. In areas such as astronomy or geo-sciences, where...

118. GWitchHunters - Machine Learning and Citizen Science to support Gravitational Wave detection

Massimiliano Razzano (University of Pisa and INFN-Pisa)

Oral Presentation

Gravitational waves opened a new window on the Universe and paved the way to a new era of multimessenger observations. Ground-based detectors such as Advanced LIGO and Virgo have been extremely successful in detecting gravitational wave signals from the coalescences of black holes and/or neutron stars. In order to improve over the actual sensitivities, the background noise must be investigated...