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SED Director’s Seminar |
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March
09 |
Please join us for the SED Director’s Seminar hosted by the Gravitational Astrophysics Laboratory, Code 663! Dissecting the remnants of black hole collisions Cecilia Chirenti Abstract: Gravitational wave detection from binary black hole mergers has (almost!) become routine. General relativity reigns supreme and superbly explains gravitational signals from inspiral to ringdown. One of the last strongholds for alternative theories lies in the higher frequencies (overtones) of the ringdown. I will talk about prospects for the detection of multiple modes in the ringdown with current and future instruments. Interpreting a Machine Learning Model for Detecting Gravitational Waves Mohammadtaher Safarzadeh Abstract: We describe a case study of translational research, applying interpretability techniques developed for computer vision to machine learning models used to search for and find gravitational waves. The models we study are trained to detect black hole merger events in non-Gaussian and non-stationary advanced Laser Interferometer Gravitational-wave Observatory (LIGO) data. We produced visualizations of the response of machine learning models when they process advanced LIGO data that contains real gravitational wave signals, noise anomalies, and pure advanced LIGO noise. Our findings shed light on the responses of individual neurons in these machine learning models. Further analysis suggests that different parts of the network appear to specialize in local versus global features, and that this difference appears to be rooted in the branched architecture of the network as well as noise characteristics of the LIGO detectors. We believe efforts to whiten these "black box" models can suggest future avenues for research and help inform the design of interpretable machine learning models for gravitational wave astrophysics. Picturing the Milky Way in milliHertz Gravitational Waves Ira Thorpe Abstract: Gravitational Waves are one of the newest approaches employed by astronomers to understand the universe. But gravitational wave data seems very different from the most basic form of astronomy - making images of the night sky and trying to understand what's behind them. This is in part because all of the gravitational wave signals detected to date have been transient bursts that are only roughly localized on the sky. Future gravitational wave detectors, such as the space-based Laser Interferometer Space Antenna (LISA) mission, will detect tens of thousands of persistent sources associated with compact binaries in the Milky Way. In this talk I will describe a novel approach of presenting LISA data for these sources in the form of an image and provide an example image produced with data from a high-fidelity simulation of a LISA analysis pipeline.
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| Date | March 09, 2022 |
| Start/End Time | 11:30 AM - 12:30 PM |
| Location | Microsoft Teams |
| Event Type | Seminars/Colloquia |
| Options | Add to my calendar. |
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