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Stellar-mass black-hole binaries are the most numerous gravitational-wave sources observed to date. Their properties make them suitable for observation both by ground- and space-based detectors. Starting from synthetic catalogues…

High Energy Astrophysical Phenomena · Physics 2025-05-29 R. Buscicchio , J. Torrado , C. Caprini , G. Nardini , N. Karnesis , M. Pieroni , A. Sesana

The Laser Interferometer Space Antenna (LISA) will detect mHz gravitational waves from many astrophysical sources, including millions of compact binaries in the Galaxy, thousands of which may be individually resolvable. The large number of…

General Relativity and Quantum Cosmology · Physics 2025-10-29 Aaron D. Johnson , Javier Roulet , Katerina Chatziioannou , Michele Vallisneri , Chris G. Trejo , Kyle A. Gersbach

We introduce a revised derivation of the bitwise Markov Chain Monte Carlo (MCMC) multiple-input multiple-output (MIMO) detector. The new approach resolves the previously reported high SNR stalling problem of MCMC without the need for…

Information Theory · Computer Science 2017-07-13 Jonathan C. Hedstrom , Chung Him , Yuen , Rong-Rong Chen , Behrouz Farhang-Boroujeny

Bayesian inference using Markov Chain Monte Carlo (MCMC) on large datasets has developed rapidly in recent years. However, the underlying methods are generally limited to relatively simple settings where the data have specific forms of…

Methodology · Statistics 2020-02-18 Robert Salomone , Matias Quiroz , Robert Kohn , Mattias Villani , Minh-Ngoc Tran

The Laser Interferometer Space Antenna (LISA) is expected to detect N ~ 22 [x10^(+/- 1)] close white dwarf binaries in the Large Magellanic Cloud (LMC) through their gravitational radiation with signal-to-noise ratios greater than 10 in…

Astrophysics · Physics 2009-11-10 Asantha Cooray , Naoki Seto

Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for realizing future wireless systems. In this paper, we propose an ISAC processing framework relying on millimeter-wave (mmWave) massive…

Information Theory · Computer Science 2022-09-12 Zhen Gao , Ziwei Wan , Dezhi Zheng , Shufeng Tan , Christos Masouros , Derrick Wing Kwan Ng , Sheng Chen

We propose a generic Markov Chain Monte Carlo (MCMC) algorithm to speed up computations for datasets with many observations. A key feature of our approach is the use of the highly efficient difference estimator from the survey sampling…

Methodology · Statistics 2017-08-03 Matias Quiroz , Mattias Villani , Robert Kohn

LISA is a planned space-based gravitational-wave (GW) detector that would be sensitive to waves from low-frequency sources, in the band of roughly (0.03 - 0.1) mHz < f < 0.1 Hz. This is expected to be an extremely rich chunk of the GW…

General Relativity and Quantum Cosmology · Physics 2007-11-02 Scott A. Hughes

A unique challenge for data analysis with the Laser Interferometer Space Antenna (LISA) is that the noise backgrounds from instrumental noise and astrophysical sources will change significantly over both the year and the entire mission.…

Instrumentation and Methods for Astrophysics · Physics 2022-11-30 Matthew C. Digman , Neil J. Cornish

The Laser Interferometer Space Antenna (LISA) has two scientific objectives of cosmological focus: to probe the expansion rate of the universe, and to understand stochastic gravitational-wave backgrounds and their implications for early…

Cosmology and Nongalactic Astrophysics · Physics 2025-01-29 Pierre Auclair , David Bacon , Tessa Baker , Tiago Barreiro , Nicola Bartolo , Enis Belgacem , Nicola Bellomo , Ido Ben-Dayan , Daniele Bertacca , Marc Besancon , Jose J. Blanco-Pillado , Diego Blas , Guillaume Boileau , Gianluca Calcagni , Robert Caldwell , Chiara Caprini , Carmelita Carbone , Chia-Feng Chang , Hsin-Yu Chen , Nelson Christensen , Sebastien Clesse , Denis Comelli , Giuseppe Congedo , Carlo Contaldi , Marco Crisostomi , Djuna Croon , Yanou Cui , Giulia Cusin , Daniel Cutting , Charles Dalang , Valerio De Luca , Walter Del Pozzo , Vincent Desjacques , Emanuela Dimastrogiovanni , Glauber C. Dorsch , Jose Maria Ezquiaga , Matteo Fasiello , Daniel G. Figueroa , Raphael Flauger , Gabriele Franciolini , Noemi Frusciante , Jacopo Fumagalli , Juan Garcia-Bellido , Oliver Gould , Daniel Holz , Laura Iacconi , Rajeev Kumar Jain , Alexander C. Jenkins , Ryusuke Jinno , Cristian Joana , Nikolaos Karnesis , Thomas Konstandin , Kazuya Koyama , Jonathan Kozaczuk , Sachiko Kuroyanagi , Danny Laghi , Marek Lewicki , Lucas Lombriser , Eric Madge , Michele Maggiore , Ameek Malhotra , Michele Mancarella , Vuk Mandic , Alberto Mangiagli , Sabino Matarrese , Anupam Mazumdar , Suvodip Mukherjee , Ilia Musco , Germano Nardini , Jose Miguel No , Theodoros Papanikolaou , Marco Peloso , Mauro Pieroni , Luigi Pilo , Alvise Raccanelli , Sébastien Renaux-Petel , Arianna I. Renzini , Angelo Ricciardone , Antonio Riotto , Joseph D. Romano , Rocco Rollo , Alberto Roper Pol , Ester Ruiz Morales , Mairi Sakellariadou , Ippocratis D. Saltas , Marco Scalisi , Kai Schmitz , Pedro Schwaller , Olga Sergijenko , Geraldine Servant , Peera Simakachorn , Lorenzo Sorbo , Lara Sousa , Lorenzo Speri , Danièle A. Steer , Nicola Tamanini , Gianmassimo Tasinato , Jesus Torrado , Caner Unal , Vincent Vennin , Daniele Vernieri , Filippo Vernizzi , Marta Volonteri , Jeremy M. Wachter , David Wands , Lukas T. Witkowski , Miguel Zumalacárregui , James Annis , Fëanor Reuben Ares , Pedro P. Avelino , Anastasios Avgoustidis , Enrico Barausse , Alexander Bonilla , Camille Bonvin , Pasquale Bosso , Matteo Calabrese , Mesut Çalışkan , Jose A. R. Cembranos , Mikael Chala , David Chernoff , Katy Clough , Alexander Criswell , Saurya Das , Antonio da Silva , Pratika Dayal , Valerie Domcke , Ruth Durrer , Richard Easther , Stephanie Escoffier , Sandrine Ferrans , Chris Fryer , Jonathan Gair , Chris Gordon , Martin Hendry , Mark Hindmarsh , Deanna C. Hooper , Eric Kajfasz , Joachim Kopp , Savvas M. Koushiappas , Utkarsh Kumar , Martin Kunz , Macarena Lagos , Marc Lilley , Joanes Lizarraga , Francisco S. N. Lobo , Azadeh Maleknejad , C. J. A. P. Martins , P. Daniel Meerburg , Renate Meyer , José Pedro Mimoso , Savvas Nesseris , Nelson Nunes , Vasilis Oikonomou , Giorgio Orlando , Ogan Özsoy , Fabio Pacucci , Antonella Palmese , Antoine Petiteau , Lucas Pinol , Simon Portegies Zwart , Geraint Pratten , Tomislav Prokopec , John Quenby , Saeed Rastgoo , Diederik Roest , Kari Rummukainen , Carlo Schimd , Aurelia Secroun , Carlos F. Sopuerta , Ismael Tereno , Andrew Tolley , Jon Urrestilla , Elias C. Vagenas , Jorinde van de Vis , Rien van de Weygaert , Barry Wardell , David J. Weir , Graham White , Bogumila Świeżewska , Valery I. Zhdanov

An efficient, joint transmission delay and channel parameter estimation algorithm is proposed for uplink asynchronous direct-sequence code-division multiple access (DS-CDMA) systems based on the space-alternating generalized expectation…

Information Theory · Computer Science 2016-11-17 E. Panayirci , A. Kocian , H. V. Poor , M. Ruggieri

In this paper, we propose low complexity algorithms based on Markov chain Monte Carlo (MCMC) technique for signal detection and channel estimation on the uplink in large scale multiuser multiple input multiple output (MIMO) systems with…

Information Theory · Computer Science 2012-01-31 Tanumay Datta , N. Ashok Kumar , A. Chockalingam , B. Sundar Rajan

In this work we focus on the search and detection of Massive black hole binary (MBHB) systems, including systems at high redshift. As well as expanding on previous works where we used a variant of Markov Chain Monte Carlo (MCMC), called…

General Relativity and Quantum Cosmology · Physics 2010-10-27 Neil J. Cornish , Edward K. Porter

Data mining, particularly the analysis of multivariate time series data, plays a crucial role in extracting insights from complex systems and supporting informed decision-making across diverse domains. However, assessing the similarity of…

Machine Learning · Computer Science 2025-07-15 Franck Tonle , Henri Tonnang , Milliam Ndadji , Maurice Tchendji , Armand Nzeukou , Kennedy Senagi , Saliou Niassy

Many analyses of multivariate data focus on evaluating the dependence between two sets of variables, rather than the dependence among individual variables within each set. Canonical correlation analysis (CCA) is a classical data analysis…

Methodology · Statistics 2024-04-23 Jordan G. Bryan , Jonathan Niles-Weed , Peter D. Hoff

Markov chain Monte Carlo (MCMC) samplers are numerical methods for drawing samples from a given target probability distribution. We discuss one particular MCMC sampler, the MALA-within-Gibbs sampler, from the theoretical and practical…

Computation · Statistics 2020-03-19 X. T. Tong , M. Morzfeld , Y. M. Marzouk

The Laser Interferometer Space Antenna (LISA) is being designed to detect and study in detail gravitational waves from sources throughout the Universe such as massive black hole binaries. The conceptual formulation of the LISA space-borne…

General Relativity and Quantum Cosmology · Physics 2014-11-17 Scott E Pollack , Robin Tuck Stebbins

The Laser Interferometric Space Antenna (LISA) will observe supermassive black hole binary mergers with amplitude signal-to-noise ratio of several thousands. We investigate the extent to which such observations afford high-precision tests…

General Relativity and Quantum Cosmology · Physics 2010-11-05 K. G. Arun , B. R. Iyer , M. S. S. Qusailah , B. S. Sathyaprakash

In lattice quantum field theory studies, parameters defining the lattice theory must be tuned toward criticality to access continuum physics. Commonly used Markov chain Monte Carlo (MCMC) methods suffer from critical slowing down in this…

High Energy Physics - Lattice · Physics 2021-06-04 Gurtej Kanwar

The LISA Pathfinder (LPF) mission succeeded outstandingly in demonstrating key technological aspects of future space-borne gravitational-wave detectors, such as the Laser Interferometer Space Antenna (LISA). Specifically, LPF demonstrated…

General Relativity and Quantum Cosmology · Physics 2022-03-02 Quentin Baghi , Natalia Korsakova , Jacob Slutsky , Eleonora Castelli , Nikolaos Karnesis , Jean-Baptiste Bayle