History of changes to: Investigations into new machine learning techniques for gravitational wave astronomy
Date Action Change(s) User
Nov. 27, 2023, 2:12 p.m. Added 35 {"external_links": []}
Nov. 20, 2023, 2:03 p.m. Added 35 {"external_links": []}
Nov. 13, 2023, 1:33 p.m. Added 35 {"external_links": []}
Nov. 6, 2023, 1:31 p.m. Added 35 {"external_links": []}
Aug. 14, 2023, 1:31 p.m. Added 35 {"external_links": []}
Aug. 7, 2023, 1:32 p.m. Added 35 {"external_links": []}
July 31, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 24, 2023, 1:35 p.m. Added 35 {"external_links": []}
July 17, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 10, 2023, 1:26 p.m. Added 35 {"external_links": []}
July 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
June 26, 2023, 1:25 p.m. Added 35 {"external_links": []}
June 19, 2023, 1:27 p.m. Added 35 {"external_links": []}
June 12, 2023, 1:29 p.m. Added 35 {"external_links": []}
June 5, 2023, 1:33 p.m. Added 35 {"external_links": []}
May 29, 2023, 1:27 p.m. Added 35 {"external_links": []}
May 22, 2023, 1:29 p.m. Added 35 {"external_links": []}
May 15, 2023, 1:31 p.m. Added 35 {"external_links": []}
May 8, 2023, 1:37 p.m. Added 35 {"external_links": []}
May 1, 2023, 1:28 p.m. Added 35 {"external_links": []}
April 24, 2023, 1:34 p.m. Added 35 {"external_links": []}
April 17, 2023, 1:28 p.m. Added 35 {"external_links": []}
April 10, 2023, 1:25 p.m. Added 35 {"external_links": []}
April 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
Jan. 28, 2023, 11:09 a.m. Created 43 [{"model": "core.projectfund", "pk": 30887, "fields": {"project": 8113, "organisation": 21, "amount": 0, "start_date": "2022-09-30", "end_date": "2026-03-30", "raw_data": 49536}}]
Jan. 28, 2023, 11:09 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 87998, "fields": {"project": 8113, "organisation": 245, "role": "LEAD_ORG"}}]
Jan. 28, 2023, 11:09 a.m. Created 40 [{"model": "core.projectperson", "pk": 55012, "fields": {"project": 8113, "person": 11254, "role": "STUDENT_PER"}}]
Jan. 28, 2023, 11:09 a.m. Created 40 [{"model": "core.projectperson", "pk": 55011, "fields": {"project": 8113, "person": 11255, "role": "SUPER_PER"}}]
Jan. 28, 2023, 10:52 a.m. Updated 35 {"title": ["", "Investigations into new machine learning techniques for gravitational wave astronomy"], "description": ["", "\nThe 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.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Active"]}
Jan. 28, 2023, 10:52 a.m. Added 35 {"external_links": [33296]}
Jan. 28, 2023, 10:52 a.m. Created 35 [{"model": "core.project", "pk": 8113, "fields": {"owner": null, "is_locked": false, "coped_id": "55f83187-dd62-4909-bc99-86ad8c3c9330", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 49531, "created": "2023-01-28T10:41:31.551Z", "modified": "2023-01-28T10:41:31.551Z", "external_links": []}}]