Investigations into new machine learning techniques for gravitational wave astronomy

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Title
Investigations into new machine learning techniques for gravitational wave astronomy

CoPED ID
55f83187-dd62-4909-bc99-86ad8c3c9330

Status
Active

Funder

Value
No funds listed.

Start Date
Sept. 30, 2022

End Date
March 30, 2026

Description

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The field of gravitational wave astronomy is currently benefiting from the rapid growth of machine learning applications to problems such as classification (detection or model selection) and regression (parameter estimation). So far, only these areas of gravitational wave data analysis have been investigated since there is a direct relation between them and the most common and well established machine learning processes. In this project we propose the investigation of a new (known) form of machine learning known as Physics Informed Neural Networks (PINNs) in which machine learning is used to obtain accurate models of functions that are particular solutions to physically informed problems. For example, such problems include gravitational waveforms modelled by Einsteins General Relativity, solutions to the Tolman Oppenheimer Volkoff Equation for neutron stars, solving geodesic paths for particles in a general relativistic spacetime, and solving the spacetime metric for arbitrary mass-energy distributions. The student will investigate the potential for PINNs amongst these and other problems in the gravitational wave field.

Chris Messenger SUPER_PER
Rhona McTeague STUDENT_PER

Subjects by relevance
  1. Machine learning
  2. Gravitation
  3. Astronomy
  4. Gravitational waves
  5. Neutron stars
  6. Theory of relativity

Extracted key phrases
  1. Gravitational wave astronomy
  2. Gravitational wave datum analysis
  3. Gravitational wave field
  4. Machine learning process
  5. New machine
  6. Gravitational waveform
  7. Investigation
  8. Physics Informed Neural Networks
  9. Model selection
  10. Accurate model
  11. Problem
  12. General relativistic spacetime
  13. Tolman Oppenheimer Volkoff Equation
  14. Rapid growth
  15. Particular solution

Related Pages

UKRI project entry

UK Project Locations