Bulletin of the American Physical Society
APS April Meeting 2020
Volume 65, Number 2
Saturday–Tuesday, April 18–21, 2020; Washington D.C.
Session X07: Data Analysis Applications in Astrophysics: Past and FutureCancelled Invited
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Sponsoring Units: FGSA Chair: Tiffany Nichols, Harvard University Room: Roosevelt 2 |
Tuesday, April 21, 2020 10:45AM - 11:12AM Not Participating |
X07.00001: Parameter Extraction for Black Hole Images with Neural Networks Invited Speaker: Joshua Yao-Yu Lin Event Horizon Telescope (EHT) has recently released the first horizon-scale images of the black hole in M87. Combined with other astronomical data these images limit the mass and spin of the hole as well as the accretion rate and trapped magnetic flux in the surrounding accretion flow. An important question for EHT is how well these key parameters can be extracted from present and future EHT data alone. Following earlier work by Van der Gucht et al., we explore parameter extraction using a neural network. Using training and test sets derived from a suite of state of the art simulations, we consider the discriminating power of individual total intensity images at various resolutions, small sets of images corresponding to sequential observations, and full polarization images at various resolutions. [Preview Abstract] |
Tuesday, April 21, 2020 11:12AM - 11:39AM Not Participating |
X07.00002: Gravitational Wave Data Analysis Invited Speaker: Tejaswi Venumadhav The last few years have seen the first direct detections of gravitational waves from merging compact binaries using data from laser interferometers. The typical amplitude of the raw detector noise is much higher than that of the signals, which necessitates the use of sophisticated signal processing techniques in the process of detection and source-characterization. These techniques have typically not performed as ideally expected, due to imperfect noise modeling. Recently, we performed the first independent searches of the LIGO data, in which we improved the modeling of the detector noise, and consequently the reach of public data from previous runs. We rediscovered all of the official LVC events, as well as several new binary black hole mergers (effectively doubling the population known so far). I will present an overview of our methods and results. [Preview Abstract] |
Tuesday, April 21, 2020 11:39AM - 12:06PM Not Participating |
X07.00003: The great challenges of gravitational-wave analysis Invited Speaker: Christopher Berry Gravitational-wave astronomy opens up the possibility to study a new side our Universe. To fulfil the potential of gravitational-wave astronomy requires us to (i) identify signals in our data, (ii) characterise the properties of the source, and (iii) combine multiple observations to infer the parameters that describe the population of sources. Each of these steps presents unique computational challenges. We will highlight some of these in the context of the current ground-based detector network, where the rapidly increasing rate of detection demands that analysis is performed efficiency, and future detectors, such as for the space-based Laser Interferometer Space Antenna, where the huge number of overlapping signals will present new problems to solve. [Preview Abstract] |
Tuesday, April 21, 2020 12:06PM - 12:33PM Not Participating |
X07.00004: Data Analysis for Cosmic Explorer Invited Speaker: Duncan Brown Data-analysis software is an integral enabler of observation, experiment, theory, and computation and a primary modality for realizing the discoveries and innovations of astrophysics. I will discuss how data-analysis software enables gravitational-wave astronomy, the free and open source toolkit PyCBC for gravitational-wave astrophysics, and the challenges that the community will face in realizing data analysis for Cosmic Explorer---the proposed U.S. contribution to the third-generation gravitational-wave detector network. [Preview Abstract] |
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