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Relativity and Gravitation Group

Dr Timothy Lucas Makinen

Physics-AI Fellow

Publications

A simulation-based inference of the Milky Way merger history
A Sante, AS Font, D Kawata, T Lucas Makinen, RJJ Grand
(2026)
(link to publication)
Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation
V Pandya, GL Bryan, T Lucas Makinen, A Gabrielpillai, C Carr, DB Fielding, L Hernquist, M Ho, K Iyer, CK Jespersen, S Koudmani, M Laska, P Lemos, CC Lovell, LA Perez, WF Robinson Jr., RS Somerville, TK Starkenburg, R Stiskalek, B Terrazas, G Mark Voit
(2026)
(link to publication)
Creating halos with autoregressive multistage networks
S Pandey, C Modi, BD Wandelt, DJ Bartlett, AE Bayer, GL Bryan, M Ho, G Lavaux, T Lucas Makinen, F Villaescusa-Navarro
– Physical Review D
(2025)
112,
103503
(doi: 10.1103/vlm2-tm6k)
Optimal neural summarization for full-field weak lensing cosmological implicit inference
D Lanzieri, J Zeghal, T Lucas Makinen, A Boucaud, JL Starck, F Lanusse
– Astronomy & Astrophysics
(2025)
697,
A162
(doi: 10.1051/0004-6361/202451535)
Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
T Lucas Makinen, A Heavens, N Porqueres, T Charnock, A Lapel, BD Wandelt
– Journal of Cosmology and Astroparticle Physics
(2025)
2025,
095
(doi: 10.1088/1475-7516/2025/01/095)
Hybrid Summary Statistics
T Lucas Makinen, C Sui, BD Wandelt, N Porqueres, A Heavens
(2024)
(link to publication)
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
M Ho, DJ Bartlett, N Chartier, C Cuesta-Lazaro, S Ding, A Lapel, P Lemos, CC Lovell, T Lucas Makinen, C Modi, V Pandya, S Pandey, LA Perez, B Wandelt, GL Bryan
– The Open Journal of Astrophysics
(2024)
7,
54
(doi: 10.33232/001c.120559)
LtU-ILI: Robust machine learning in astro
M Ho, DJ Bartlett, N Chartier, C Cuesta-Lazaro, S Ding, A Lapel, P Lemos, CC Lovell, T Lucas Makinen, C Modi, V Pandya, S Pandey, LA Perez, B Wandelt, GL Bryan
– Astrophysics Source Code Library, record ascl:2403.011
(2024)
(link to publication)
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
T Lucas Makinen, J Alsing, BD Wandelt
(2023)
(link to publication)
Field-level inference of cosmic shear with intrinsic alignments and baryons
N Porqueres, A Heavens, D Mortlock, G Lavaux, T Lucas Makinen
(2023)
(link to publication)
Exoplanet atmosphere evolution: emulation with neural networks
JG Rogers, C Janó Muñoz, JE Owen, T Lucas Makinen
– Monthly Notices of the Royal Astronomical Society
(2023)
519,
6028-6043
(doi: 10.1093/mnras/stad089)
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
T Lucas Makinen, T Charnock, P Lemos, N Porqueres, AF Heavens, BD Wandelt
– The Open Journal of Astrophysics
(2022)
5,
18
(doi: 10.21105/astro.2207.05202)
Lossless, scalable implicit likelihood inference for cosmological fields
T Lucas Makinen, T Charnock, J Alsing, BD Wandelt
– Journal of Cosmology and Astroparticle Physics
(2021)
2021,
049
(doi: 10.1088/1475-7516/2021/11/049)
deep21: a deep learning method for 21 cm foreground removal
T Lucas Makinen, L Lancaster, F Villaescusa-Navarro, P Melchior, S Ho, L Perreault-Levasseur, DN Spergel
– Journal of Cosmology and Astroparticle Physics
(2021)
2021,
081
(doi: 10.1088/1475-7516/2021/04/081)

Research Group

Relativity and Gravitation

Email

tlm41@cam.ac.uk

Room

B0.30

Study at Cambridge

About the University

Research at Cambridge