Bulletin of the American Physical Society
APS April Meeting 2022
Volume 67, Number 6
Saturday–Tuesday, April 9–12, 2022; New York
Session X16: Gravitational Wave Detection Methods for LIGO IIRecordings Available
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Sponsoring Units: DGRAV Chair: Deborah Ferguson, University of Texas at Austin Room: Sky Lobby |
Tuesday, April 12, 2022 10:45AM - 10:57AM |
X16.00001: Gravitational-wave astronomy with a physical calibration model Ethan Payne, Colm Talbot, Paul D Lasky, Eric Thrane, Jeffrey S Kissel Approaches to incorporating detector calibration uncertainty in gravitational-wave source parameter estimation have previously relied on upper limits or approximations. Additionally, in the context of compact binary signals, the calibration approximations inefficiently added in excess of 20 parameters to the calculation. Instead, we developed a post-processing approach, relying on a technique known as importance sampling. The method addresses two concerns - it both incorporates a physical model for the uncertainty in the LIGO detectors' response functions, and removes the additional computation cost associated with these models. With our approach, we demonstrate the procedure for a number of observed gravitational-wave signals, as well as a simulated set of binary black hole mergers. Within our simulated analyses, we find that the impact of calibration uncertainty is negligible. For a loud GW150914-like signal with a signal-to-noise ratio of 200, calibration uncertainty only marginally impacts the inferred luminosity distance, and increases uncertainty in the localization of the source by a factor of two. Finally, this approach has been used to address these aforementioned computational challenges in the third gravitational-wave transient catalog released by the LIGO, Virgo, and KAGRA Scientific Collaborations. |
Tuesday, April 12, 2022 10:57AM - 11:09AM |
X16.00002: Incorporating information from LIGO data quality streams into the PyCBC search for gravitational waves Max Trevor, Derek Davis, Simone Mozzon, Laura Nuttall We introduce a method for incorporating data from LIGO auxiliary channels into the PyCBC offline search for gravitational waves. A variety of auxiliary data sources can be used, including seismic noise sensors, data quality flags and iDQ timeseries data. This additional data is correlated with the single detector trigger rate observed by PyCBC. The variation of the trigger rate with auxiliary channels is incorporated into a new statistic in order to decrease the significance of triggers during periods of high noise. We demonstrate that this time-dependent noise model increases the sensitive time-volume of PyCBC. |
Tuesday, April 12, 2022 11:09AM - 11:21AM |
X16.00003: A comparisoxn of GstLAL performance in gaussian data and LIGO detectors data. Andre R Guimaraes In this paper we explore the differences of results of GW searches with the gstlal pipeline/method applied to real LIGO data and simulated colored-gaussian data. |
Tuesday, April 12, 2022 11:21AM - 11:33AM |
X16.00004: Normal Approximate Likelihoods for Gravitational Wave Events Vera E Delfavero, Richard W O'Shaughnessy, Anjali Balasaheb Yelikar, Daniel Wysocki Gravitational-Wave population inference depends upon accurate and fast evaluations of the likelihood function for each detected observation. Typical likelihood interpolation and kernel density estimation relies upon cumbersome accounting with the many posterior samples available publicly from the Gravitational-Wave Transient Catalog. The Multivariate Normal approximation has been shown to meet those needs, but inferring μ and Σ directly from the mean and covariance of the samples introduces a bias in symmetric mass ratio on the order of a standard deviation away from equal mass. We provide a method for obtaining these fit parameters in a way which avoids introducing bias caused by edge effects. Our publicly available results offer an efficient and unbiased set of likelihood functions for each gravitational-wave detection. We demonstrate the utility of our approach with selected applications. |
Tuesday, April 12, 2022 11:33AM - 11:45AM |
X16.00005: Approximating the gravitational-wave response on a continuous parameter space RYAN MAGEE Gravitational-wave searches discretely sample the signal parameter space to balance computational requirements and signal losses arising from differences between the modeled and observed emission. Previous work has shown that it is possible to project the signal space onto a reduced basis produced by singular value decomposition to reduce the number of required filters while also allowing efficient reconstruction of arbitrary points in the space. We extend previous work and describe methods that allow for fast approximations of SNRs for arbitrary signal parameters, and we discuss applications to low-latency parameter estimation. |
Tuesday, April 12, 2022 11:45AM - 11:57AM |
X16.00006: Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions Soichiro Morisaki Bayesian parameter estimation of gravitational waves from compact binary coalescence (CBC) typically requires more than millions of evaluations of computationally expensive template waveforms. We propose a technique to reduce the cost of waveform generation by exploiting the chirping behavior of CBC signal. Our technique does not require waveforms at all frequencies in the frequency range used in the analysis, and does not suffer from the fixed cost due to the upsampling of waveforms. Our technique speeds up the parameter estimation of typical binary neutron star signal by a factor of O(10) for the low-frequency cutoff of 20Hz, and O(100) for 5Hz. Our technique does not require any offline preparations and easy-to-use. In this talk, I am going to talk about its method and performance. |
Tuesday, April 12, 2022 11:57AM - 12:09PM |
X16.00007: Detecting a stochastic gravitational-wave background with LIGO/Virgo/KAGRA: are we there yet? Arianna Renzini In a recent review paper, we outline what constitutes a GW stochastic background, and give an overview of stochastic detection methods with different GW experiments. In this talk, I will focus on detection methods with the current second generation interferometer network, laying out a roadmap to detection. In the process, I will characterize the GW background we expect to measure with the 2G network, and highlight the challenges we face when trying to measure this elusive signal. |
Tuesday, April 12, 2022 12:09PM - 12:21PM |
X16.00008: Localisation of a long-duration gravitational wave signal in time Liudmila Fesik, M. Alessandra Papa Spinning neutron stars are sources of continuous gravitational waves that may be detected by interferometric detectors. We propose a method for localising a long-duration signal (longer than a few hours) when the start time and duration of the signal are unknown. We show how the uncertainties in the time-localization of the signal reflect on signal-to-noise ratio (SNR) of the recovered signal. |
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