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João D. Álvares

Publications and source records attributed to João D. Álvares.

4 recordsLinked to original sources

Rotating Thin Shells in Einstein-Gauss-Bonnet Gravity

A rotating metric solution in Einstein-Gauss-Bonnet gravity with a negative cosmological constant was recently found in the Chern-Simons point. We construct a rotating thin shell gluing two spacetimes in Einstein-Gauss-Bonnet gravity, using the Davis junction conditions. We take the inner and outer spacetimes as replicas of the same rotating metric, with different values of mass and angular momentum. We show that the only possible thin shells either are vacuum thin shells or have a non-zero pressure in one tangential direction while the remaining stress tensor components vanish. We obtain the equation of motion for the shell, which resembles the continuity equation for a shell in General Relativity (GR), even though the quantity analogous to the intrinsic mass of the shell in GR is not connected to its stress tensor. We study the special case of vacuum thin shells connecting two spacetimes with zero hair. We obtain analytically the possible trajectories of the shell, and in certain situations we observe that the solution ceases to be valid. We find cases where the vacuum shell collapses and a naked singularity is formed. There two types of static vacuum thin shell solutions, one being stable occurring when both inner and outer spacetimes are overextremal, and the other unstable occurring when the horizons of inner and outer spacetimes approach each other, and are close to extremality.

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Charged Scalar Field at Future Null Infinity via Nonlinear Hyperboloidal Evolution

Quasinormal modes and power-law late-time decay tails of a charged scalar field on a charged black hole have been considered in the literature, and here we use the hyperboloidal formalism to present an independent comparison to prior non-linear results. For the quasinormal modes we show a fit of the spherical fundamental mode for the purely uncharged case and compare it to the charged one. We obtain good agreement with prior prescriptions for the oscillation frequency between real and imaginary parts of the scalar field, as well as for the exponent of the power-law decay. Full non-linear evolutions of hyperboloidal slices in spherical symmetry were used to obtain our results, allowing for the extraction of signals at future null infinity.

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Free Hyperboloidal Evolution of the Einstein-Maxwell-Klein-Gordon System

We present simulations of the Einstein-Maxwell-Klein-Gordon system on compactified hyperboloidal slices. To the best of our knowledge, this is the first time that this setup is evolved with a common formulation like BSSN/Z4. Hyperboloidal slices smoothly reach future null infinity, the only location in spacetime where radiation (such as gravitational waves) is unambiguously defined. We are thus able to reach null infinity and extract signals there. We showcase the capabilities of our implementation in spherical symmetry with the evolution of a charged scalar field perturbing a regular spacetime and near an electrically charged black hole. We also present the collapse of a charged scalar field into a Reissner-Nördstrom black hole.

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Exploring gravitational-wave detection and parameter inference using Deep Learning methods

We explore machine learning methods to detect gravitational waves (GW) from binary black hole (BBH) mergers using deep learning (DL) algorithms. The DL networks are trained with gravitational waveforms obtained from BBH mergers with component masses randomly sampled in the range from 5 to 100 solar masses and luminosity distances from 100 Mpc to, at least, 2000 Mpc. The GW signal waveforms are injected in public data from the O2 run of the Advanced LIGO and Advanced Virgo detectors, in time windows that do not coincide with those of known detected signals. We demonstrate that DL algorithms, trained with GW signal waveforms at distances of 2000 Mpc, still show high accuracy when detecting closer signals, within the ranges considered in our analysis. Moreover, by combining the results of the three-detector network in a unique RGB image, the single detector performance is improved by as much as 70%. Furthermore, we train a regression network to perform parameter inference on BBH spectrogram data and apply this network to the events from the the GWTC-1 and GWTC-2 catalogs. Without significant optimization of our algorithms we obtain results that are mostly consistent with published results by the LIGO-Virgo Collaboration. In particular, our predictions for the chirp mass are compatible (up to 3$σ$) with the official values for 90% of events

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