Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

Deledda

Financiado

Deep Learning the Dark Universe with Gravitational Waves

Gravitational wave astronomy has opened an extraordinary new window to test the theory of gravity in the genuinely strong, highly dynamical and relativistic regime. The LIGO-Virgo Collaboration has now detected over 50 mergers of... ver más

31/08/2026

UNIPI

265K€

Presupuesto del proyecto: 265K€

Líder del proyecto

UNIVERSITA DI PISA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 3 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-05-18

HORIZON-MSCA-2021-PF-01-01: MSCA Postdoctoral Fellowships 2021 ExpectedOutcome:

I+D

Cerrada hace 3 años

0% 100% 100%

3 Participantes

UNIPI

265.10K€ | Lider

CALIFORNIA INSTITUTE OF TECH...

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

PGC2018-101119-B-I00 RETOS ANALITICOS Y NUMERICOS EN LA FISICA DE LAS ONDAS GRAVI... 9K€ Cerrado

BlackHoleMergs Dynamical Formation of Black Hole Mergers 2M€ Cerrado

StochRewind Stochastic Rewind and fast-forward: calibrating LISA with LI... 189K€ Cerrado

PID2019-106416GB-I00 EXPLOTACION DEL POTENCIAL CIENTIFICO DE LOS DETECTORES DE ON... 218K€ Cerrado

GWtheory Gravitational Wave Theory: Feynman Toolbox for Einstein Grav... 215K€ Cerrado

PID2021-125485NB-C21 ASTROFISICA RELATIVISTA COMPUTACIONAL Y ANALISIS DE DATOS EN... 207K€ Cerrado

Duración del proyecto: 51 meses Fecha Inicio: 2022-05-18
Fecha Fin: 2026-08-31

Líder del proyecto

UNIVERSITA DI PISA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 265K€

Descripción del proyecto Gravitational wave astronomy has opened an extraordinary new window to test the theory of gravity in the genuinely strong, highly dynamical and relativistic regime. The LIGO-Virgo Collaboration has now detected over 50 mergers of compact binary systems and this number will considerably increase in the coming years. There are currently two main issues related to the possibility of testing gravity with gravitational wave observations: the weakness of parametric tests of General Relativity to go beyond null tests and the very long inference time required by standard samplers which can take up to months. Specific waveform models and new techniques to speed up statistical inference are therefore crucial to maximise the scientific return of already available and upcoming data. In this project, we will construct an analytical model of the gravitational waves emitted during the late inspiral and merger of compact objects in theories of gravity that are cosmologically motivated, namely that have a chance to explain Dark Energy. We will then leverage deep learning techniques to promptly produce the posterior for the corresponding parameters given the detector data. To this aim, we will build up on two codes developed by one of the supervisors - ROMAN and PERCIVAL - which pioneered the use of machine learning in gravitational wave science. We will then apply this new pipeline to the real LIGO-Virgo data and perform Bayesian inference of Dark Energy parameters. All together this project will provide a new and complete framework to test the dark Universe with gravitational wave observations, exploiting state-of-the-art deep learning techniques.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores