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Gravitational Waves, Inspirals, and Novel Tests of gravity in the era of (20)30s

Project description

Preparing gravitational wave models for next-generation space detectors

As next-generation space observatories prepare to launch, astrophysicists will face a data crisis: these instruments will soon flood researchers with complex cosmic signals that current software cannot decode. While existing data perfectly aligns with general relativity, upcoming detectors will capture subtle environmental disturbances, such as space debris and gas friction, that could easily be mistaken for new physics or be misread owing to flawed modelling. Supported by the Marie Skłodowska-Curie Actions programme, the GWINT-2030 project will resolve this by focusing on three areas. It will simulate extreme-mass black hole orbits to explore whether space detectors can spot deviations from standard gravity, upgrade data models to account for space-gas friction and torque, and utilise neural networks to calculate neutron star vibrations in alternative gravity theories.

Objective

Despite the detection of numerous binary merger events since 2014, current tests of General Relativity (GR) have consistently confirmed its predictions, with no statistically significant deviations observed yet. In light of upcoming advancements in detector technology, the development of new tests for gravity specifically designed to harness the enhanced sensitivity of next-generation detectors constitutes the best path forward at current state-of-art.

In this project I identify three crucial areas where improved tests of GR will be instrumental in pushing the current state-of-art. First, I will compute GW emissions from Extreme Mass Ratio Inspiral (EMRI) orbits around ‘stealth’ black holes and crucially explore if LISA like detectors can tell these systems apart from GR while inferring their source properties. This work will additionally investigate if shape Love numbers are important ingredients for parameter estimation of EMRI systems. Then, my second study will refine the phenomenology of current GW-waveform modelling for binary mergers in environments. I intend critical upgrades to the treatment of accretion along with the associated drag force and torque. This task has immense value as a potential mitigation of modelling biases commonly associated with inspirals in environments. Finally, I will calculate the oscillation modes of non-rotating neutron stars (NSs) in Scalar-Tensor (ST) gravity. My unique methodology will involve using both Neural Networks and numerical techniques. I will also check for the existence of universal Relations in ST gravity.

My work will be of paramount relevance to gravity theorists, GW phenomenologists and data analysts. It will help me to gain scientific (NS oscillations, Neural Networks, Modified Gravity), teaching and organisational expertise while symbiotically transferring hard and soft skills to my host’s group at bearable risk. My track record shows I have the requisite skills to successfully complete the project.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

UNIVERSITAT DE VALENCIA
Net EU contribution
€ 194 074,56
Address
AVENIDA BLASCO IBANEZ 13
46010 Valencia
Spain
Region
Este Comunitat Valenciana Valencia/València
Activity type
Higher or Secondary Education Establishments
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Total cost
No data