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相关论文: Bias-free parameter estimation depending on sky re…

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Understanding and dealing with inference biases in gravitational-wave (GW) parameter estimation when a plethora of signals are present in the data is one of the key challenges for the analysis of data from future GW detectors. Working…

广义相对论与量子宇宙学 · 物理学 2021-08-25 Andrea Antonelli , Ollie Burke , Jonathan R. Gair

(Abridged): We assess the statistical errors in estimating the parameters of non-spinning black-hole binaries using ground-based gravitational-wave detectors. While past assessments were based on only the inspiral/ring-down pieces of the…

广义相对论与量子宇宙学 · 物理学 2009-11-06 P. Ajith , Sukanta Bose

The LIGO gravitational wave (GW) detectors will begin collecting data in 2015, with Virgo following shortly after. The use of squeezing has been proposed as a way to reduce the quantum noise without increasing the laser power, and has been…

广义相对论与量子宇宙学 · 物理学 2015-02-24 Ryan Lynch , Salvatore Vitale , Lisa Barsotti , Matthew Evans , Sheila Dwyer

Gravitational-wave (GW) observations by a network of ground-based laser interferometric detectors allow us to probe the nature of GW polarizations. This would be an interesting test of general relativity (GR), since GR predicts only two…

广义相对论与量子宇宙学 · 物理学 2021-01-27 Srashti Goyal , K. Haris , Ajit Kumar Mehta , Parameswaran Ajith

A frequentist asymptotic expansion method for error estimation is employed for a network of gravitational wave detectors to assess the amount of information that can be extracted from gravitational wave observations. Mathematically we…

广义相对论与量子宇宙学 · 物理学 2016-06-22 Rhondale Tso , Michele Zanolin

This paper describes the most accurate analytical frequentist assessment to date of the uncertainties in the estimation of physical parameters from gravitational waves generated by non spinning binary systems and Earth-based networks of…

广义相对论与量子宇宙学 · 物理学 2013-05-29 Salvatore Vitale , Michele Zanolin

The advanced versions of the LIGO and Virgo ground-based gravitational-wave detectors are expected to operate from three sites: Hanford, Livingston, and Cascina. Recent proposals have been made to place a fourth site in Australia or India;…

高能天体物理现象 · 物理学 2012-05-28 J. Veitch , I. Mandel , B. Aylott , B. Farr , V. Raymond , C. Rodriguez , M. van der Sluys , V. Kalogera , A. Vecchio

Unlike ground-based gravitational wave detectors, space-based gravitational wave detectors can detect the ringdown signals from massive black hole mergers with large signal-to-noise ratios, help to localize sources and extract their…

广义相对论与量子宇宙学 · 物理学 2021-11-01 Chunyu Zhang , Yungui Gong , Chao Zhang

A common technique for detection of gravitational-wave signals is searching for excess power in frequency-time maps of gravitational-wave detector data. In the event of a detection, model selection and parameter estimation will be performed…

广义相对论与量子宇宙学 · 物理学 2015-06-19 Michael Coughlin , Nelson Christensen , Jonathan Gair , Shivaraj Kandhasamy , Eric Thrane

The gravitational wave detectors currently in operation perform the analysis of their scientific data jointly. Concerning the search for bursting sources, coherent data analysis methods have been shown to be more efficient. In the coherent…

广义相对论与量子宇宙学 · 物理学 2009-06-01 Olivier Rabaste , Eric Chassande-Mottin , Archana Pai

A method for recognizing the types of linear acoustic gravity waves (AGWs) in the atmosphere from satellite measurements is proposed. It is shown that the polarization relations between fluctuations of wave parameters (velocity, density,…

Inspiraling binaries of compact objects are primary targets for current and future gravitational-wave observatories. Waveforms computed in General Relativity are used to search for these sources, and will probably be used to extract source…

广义相对论与量子宇宙学 · 物理学 2015-06-12 Michele Vallisneri , Nicolas Yunes

We provide a comprehensive multi-aspect study on the performance of a pipeline used by the LIGO-Virgo Collaboration for estimating parameters of gravitational-wave bursts. We add simulated signals with four different morphologies…

Gravitational waves (GWs) can be deflected, similarly to electromagnetic (EM) waves, by massive objects through the phenomenon of gravitational lensing. The importance of gravitational lensing for GW astronomy is becoming increasingly…

广义相对论与量子宇宙学 · 物理学 2024-04-08 Eungwang Seo , Tjonnie Guan Feng Li , Martin Anthony Hendry

The sensitivity of gravitational-wave (GW) detectors is characterized by their noise curves, which determine the detector's reach and ability to measure the parameters of astrophysical sources accurately. The detector noise is typically…

天体物理仪器与方法 · 物理学 2025-03-21 Sumit Kumar , Alexander H. Nitz , Xisco Jiménez Forteza

We review the formalism underlying the modeling of gravitational wave (GW) polarizations, and the coordinate frames used to define them. In the process, we clarify the notion of "polarization angle" and identify three conceptually distinct…

广义相对论与量子宇宙学 · 物理学 2023-09-28 Maximiliano Isi

Localizing the sky position of the gravitational wave source is a key scientific goal for gravitational wave observations. Employing the Fisher information matrix approximation, we compute the angular resolutions of LISA and TianQin, two…

天体物理仪器与方法 · 物理学 2021-05-19 Chao Zhang , Yungui Gong , Hang Liu , Bin Wang , Chunyu Zhang

The Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) discovered gravitational waves (GWs) from a binary black hole merger in 2015 September and may soon observe signals from neutron star mergers. There is considerable…

We present and assess a Bayesian method to interpret gravitational wave signals from binary black holes. Our method directly compares gravitational wave data to numerical relativity simulations. This procedure bypasses approximations used…

The accuracy of Bayesian inference can be negatively affected by the use of inaccurate forward models. In the case of gravitational-wave inference, accurate but computationally expensive waveform models are sometimes substituted with faster…

天体物理仪器与方法 · 物理学 2024-04-02 Miaoxin Liu , Xiao-Dong Li , Alvin J. K. Chua