Carlos Lousto

Professor

Rochester Institute of Technology

United States

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Professor Carlos Lousto is a faculty member at the Rochester Institute of Technology in the United States. His research focuses on gravitational wave detection, black hole mergers, and the dynamics of pulsars. Recent publications include studies on eccentric binary black holes and timing irregularities in pulsar monitoring.

Articles (19)

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2025

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2021

Collaborators (2)

Hiroyuki Nakano

Professor

Ryukoku University

JAPAN

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Manuela Campanelli

Distinguished Professor of Astrophysics and John Vouros Endowed Professor

Rochester Institute of Technology

UNITED STATES

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Carlos Lousto

Research Interests

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About

Articles (19)

Gravitational wave detector sensitivity to eccentric black hole mergers

Study of the 2024 major Vela glitch at the Argentine Institute of Radioastronomy

Maximum radiated energy and final spin of high speed collision of two black holes

Eccentric binary black hole simulations with numerical relativity

Glitch-induced pulse profile change of PSR J0742−2822 observed from the IAR

Quasicircular orbital parameters for numerical relativity revisited

Close encounter of three black holes. III

Timing irregularities and glitches from the pulsar monitoring campaign at IAR

In search of the maximum lost momentum

Ultimate Black Hole Recoil: What is the Maximum High-Energy Collision Kick?

Study of the intermediate mass ratio black hole binary merger up to 1000:1 with numerical relativity

First results of the glitching pulsar monitoring programme at the Argentine Institute of Radioastronomy

Corrigendum: Post-Newtonian quasicircular initial orbits for numerical relativity (2017 Class. Quantum Grav. 34 145011)

Eccentricity estimation from initial data for numerical relativity simulations

Numerical-relativity validation of effective-one-body waveforms in the intermediate-mass-ratio regime

Fourth RIT binary black hole simulations catalog: Extension to eccentric orbits

Eccentricity estimate for black hole mergers with numerical relativity simulations

Local and approximate classification of spacetimes in the transverse frames

Vela pulsar: single pulses analysis with machine learning techniques

Collaborators (2)

Hiroyuki Nakano

Manuela Campanelli

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