On this page are some visualizations from a few of my research projects. Feel free to use them (with attribution) in your next presentation.

My research has focused on a broad range of topics based on theoretical studies of the possible observational signatures, through the electromagnetic and gravitational spectrum, to test general relativity. Through this work, I have become proficient at analytical tools in black hole perturbation theory and accretion disk theory, as well as in handling sophisticated statistical techniques and algorithms suitable for data analysis on large scale computing systems.

E&M

Photon Rings

The optical appearance of black holes has a long history (see, for instance, [Luminet, 1979; Darwin, 1959; Bardeen,1973; Ohanian, 1987; Falcke, Melia, & Agol, 2000]) and the potential to be used to test general relativity (see, for instance, Refs. [Takahashi, 2005; Johannsen & Psaltis, 2010; Gralla, Lupsasca, & Marrone, 2020] and references therein) in the strong and non-dynamical regime. General relativity predicts that a black hole image should consists of a sequence of individual rings, ``photon rings,'' encircling the central brightness depression. Each ring consists of a lensed image of the main emission indexed by the number n of photon half-orbits executed around the black hole.

This movie was produced using AART

Download this movie

Simulated data based on general relativistic magnetohydrodynamic (GRMHD) simulations have shown that the photon rings are persistent sharp features that should dominate time-averaged interferometric observations on long baselines [Johnson et al., 2020].

This image was produced using AART The resulting time-average image.

Download

In Ref. [Gralla, Lupsasca, & Marrone, 2020], a first step toward addressing the concept and viability of such a consistency test with the photon rings was taken. I am currently exploring these ideas! I am currently developing numerical tools (AART) to tackle this exciting and ambitious research agenda of understanding strong-gravitational phenomena.
Our Adaptive Analytical Ray-Tracing (AART) code is a numerical framework that exploits the integrability properties of the Kerr spacetime to compute high-resolution black hole images and their visibility amplitude on long interferometric baselines. We have used this code to show that the first photon ring does admit a precise angle-dependent diameter in visibility space, for which the Kerr metric predicts a specific functional form that tracks the critical curve [Cárdenas-Avendaño & Lupsasca, 2023]. We found that a measurement of this interferometric ring diameter is possible for most astrophysical profiles, paving the way for precision tests of strong-field general relativity via near-future observations of the first photon ring.

GW


Extreme mass-ratio inspirals

The complex dynamics of black holes present a profound challenge to our models and understanding of the Universe. Supported by a plethora of measurements and experiments [Will, 2014], most of these models assume Einstein’s general relativity (GR) as the underlying theory of gravity to describe the geometry around them. Despite these agreements, there is a consensus on a need to modify GR for observational (e.g., the late-time acceleration of the universe) and theoretical (e.g., its incompatibility with quantum mechanics) reasons [Berti et al., 2015]. If nature does deviate from GR, how much systematic error accrues by assuming GR is correct?

With the Laser Interferometer Space Antenna (LISA), a future space-based gravitational-wave detector, we will have an unprecedented opportunity to perform precision tests of GR [Arun et al. (incl. A. Cardenas-Avendano as a first-tier author), 2022], by carefully monitoring the phase of inspiraling compact objects, obtained from the gravitational waves (GWs) emitted when a small black hole falls into a supermassive or intermediate-mass black hole, in an extreme mass-ratio inspiral (EMRI).

Osculating EMRI

Download

My research focuses on developing analytical tools for analyzing and interpreting deviations from GR with the LISA data.

Contact

Contact Me