IGC Employee Information
- Additional information about policies and guidelines for Penn State & the Institute of Gravitation & the Cosmos.
This Week’s Seminars
Monday, Primordial Universe and Gravity (PUG) Discussions, 2:30 PM
Speaker(s): Shomik Adhicary
Title: Advance Alerts from Gravitational Wave Searches of Binary Compact Objects for Electromagnetic Follow-ups.
Tuesday, International Loop Quantum Gravity Seminar, 10:00 AM
(Meets every other week)
Speaker(s): No Speaker this week.
Tuesday, HEPAP/CPGA Seminar, 1:30 PM
Speaker(s): Sunil Gupta, Tata Institute of Fundamental Research
Title: Probing the electric potential and other properties of a powerful thunderstorm studied by the GRAPES-3 muon telescope at Ooty, India
Friday, Cosmology/Fundamental Theory Seminar, 9:30 AM
Speaker(s): Leo Tsukada, PSU
Title: First observations of neutron star and black hole mergers
$3.4 million NSF grant aims to make LIGO multimessenger discoveries commonplace
Chad Hanna was awarded a $3.4 million grant from the National Science Foundation to help develop software and services for discovering gravitational waves from black holes and neutron stars in real-time in order to facilitate the detection of prompt electromagnetic counterparts.
Specifically, the funds will be used to develop robust signal processing software and the creation of a suite of cyberinfrastructure services that will allow scientists to analyze LIGO data in real time. The goal is to allow scientists to make more discoveries, as well as be able to easily share those discoveries with the scientific community, which ultimately, will improve our understanding of the universe.
“We hope that this grant will benefit the entire scientific community and that, with it, we’ll make robust detections of increasingly more gravitational waves from neutron star mergers, and other signals that might have electromagnetic or neutrino counterparts,” said Hanna.
Hanna’s group leads efforts to detect gravitational waves in real-time to support multi-messenger astrophysics. The group is also involved with developing detection algorithms and software to identify the neutron star mergers in the gravitational wave data and using machine learning to cut through noisy data gathered during the gravitational wave observations. Both are integral to the real-time infrastructure and improvements will help facilitate future LIGO research. For more details, see PDF file.