1 citations · 1 across the 2 of their papers we have counts for
8 papers
Probing Kinematic Anisotropies in the Stochastic Gravitational Wave Background with the SKA
N. M. J. Cruz, Ameek Malhotra, Gianmassimo Tasinato +1
Pulsar Timing Arrays (PTAs) and astrometric surveys provide complementary probes of the nanohertz stochastic gravitational-wave background (SGWB). A primary target is the kinematic…
Data-Driven Discovery of a Simple Phantom-Crossing Dark Energy Parametrization
Giulia Borghetto, Ameek Malhotra, Simran Arora +4
We develop a data-driven reconstruction programme for the dark-energy equation of state within VCDM, a minimally modified gravity framework in which both background and linear pert…
Bayesian optimisation for Bayesian evidence (BOBE) -- a fast and efficient likelihood emulator for model selection
Nathan Cohen, Jan Hamann, Ameek Malhotra
The formalism of Bayesian model selection provides a very elegant way of ranking different physical models in terms of how compatible they are with a given set of observed data. Ho…
Bayesian reconstruction of primordial perturbations from induced gravitational waves
Aya Ghaleb, Ameek Malhotra, Gianmassimo Tasinato +1
The formation of primordial black holes or other dark matter relics from amplified density fluctuations in the early universe may also generate scalar-induced gravitational waves (…
Astrometry meets Pulsar Timing Arrays: Synergies for Gravitational Wave Detection
N. M. Jiménez Cruz, Ameek Malhotra, Gianmassimo Tasinato +1
High-precision astrometry offers a promising approach to detect low-frequency gravitational waves, complementing pulsar timing array (PTA) observations. We explore the response of…
Cosmological tests of quintessence in quantum gravity
Sukannya Bhattacharya, Giulia Borghetto, Ameek Malhotra +3
We use a suite of the most recent cosmological observations to test models of dynamical dark energy motivated by quantum gravity. Specifically, we focus on hilltop quintessence sce…