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Enhancing Gravitational-Wave Science with Machine Learning

The article "Enhancing Gravitational-Wave Science with Machine Learning" by E. Cuoco, J. Powell, M. Cavaglia et al. has been published in the journal Machine Learning: Science and Technology. Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. This new paper reviews the most recent applications of machine learning techniques to the analysis of ground-based gravitational-wave detector data such as LIGO and Virgo. Read the open-access paper here

  

A strange object in the "mass gap"

LIGO and Virgo announce the discovery of a new gravitational-wave binary system. Read all about this exciting new event in the paper published today in The Astrophysical Journal Letters, coauthored by three IMAC researchers. For decades, astronomers have puzzled over a "mass gap" that lies between neutron stars and black holes. Now LIGO and Virgo have found an object that’s firmly in the mass gap. Read LIGO-Virgo's press release

  

Black hole correlation function paper published in 'Universe'

The paper Two-Dimensional Correlation Function of Binary Black Hole Coalescences has been published on the journal Universe.  In this study, Marco and Ashini compute the two-dimensional correlation function of LIGO-Virgo's binary black hole detections to check for correlations in the sky distribution of these events at different angular scales. They find the power-law slope of the correlation function to be consistent with the measured distribution of galaxies. Check the full paper on the journal website.

Paper by physics researchers published in ‘Nature’

Dripta and Sudarshan are among the co-authors of the paper Quantum correlations between light and the kilogram-mass mirrors of LIGO published in the journal Nature.

The study confirmed that the quantum mechanical uncertainty measured in LIGO actually surpasses the “standard quantum limit” imposed by physics’ Heisenberg uncertainty principle. Check the story on S&T's eConnection! 

 

More publications by IMAC researchers

Even in these days of social distancing, IMAC's science does not stop! In the past few weeks IMAC researchers have contributed to a  new breakthrough LIGO observation of a black hole collision, studied the spatial distribution of black holes in the universe, written a review of machine learning methods for astrophysics and completed a research project on improving the accuracy of gravitational wave detectorsCheck the full list of new and old IMAC's publications here.  

IMAC at the 2020 SciFest Engineering Expo

IMAC descended on St. Louis for the 2020 SciFest Engineering Expo  at the  Saint Louis Science Center on February 22.  Elizabeth, Ryan, Sushant ,Yanyan, and Marco spent the whole days entertaining budding scientists and their families at the LIGO booth with hands-on activities, a laser interferometer and the black hole master video game, and making astrophysics accessible and so much fun for the public and community of St. Louis. Marco also gave a stage talk about black holes. The overall attendance at the STSC was 4175 persons and there were many positive comments expressed throughout the day by visitors. Check out the pictures of the event here and some videos on our youtube channel!

LIGO-Virgo-Kagra meeting cancelled due to covid-19

Like so many other scientific meetings, the 2020 annual spring meeting of the LIGO, Virgo and Kagra collaborations was cancelled due to the outbreak of the covid-19 pandemic. IMAC researchers and students hope to see their LVK colleagues again in person in Cardiff, U.K., in the fall. Meanwhile, work continues remotely thanks to Zoom, Skype, Teamspeak and other teleconferencing tools! 

LIGO and Virgo catch another neutron star collision

A new study confirms that the Laser Interferometer Gravitational wave Observatory (LIGO) near Livingston, Louisiana observed a neutron star collision on April 25, 2019. The observation is only the second time researchers detected such an event in gravitational waves. Read about the discovery and IMAC's contribution on here.