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Dr Cullan Howlett
Dr

Cullan Howlett

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0420776717

Overview

Background

I am a Senior Lecturer in Cosmology in the School of Mathematics and Physics at the University of Queensland, and recipient of the 2026 Pawsey Medal from the Australian Academy of Science. My research focuses on mapping the positions and motions of millions of galaxies to understand how our Universe has evolved since the Big Bang — and to shed light on the mysterious dark matter and dark energy that make up 95% of everything in it.

I work on some of the largest galaxy surveys ever undertaken including

  • DESI (the Dark Energy Spectroscopic Instrument) — a project mapping tens of millions of galaxies across the Universe.
  • 4HS (the 4MOST Hemisphere Survey) — a new southern-sky survey that began observations in 2026, in which I lead the cosmology team

To analyse the enormous datasets these surveys produce, my team develops cutting-edge computing and statistical tools — techniques for making sense of extraordinarily large and complex data that are increasingly finding uses beyond astronomy.

Academic Background

  • Undergraduate: MPhys 1st Class Honours - University of Sussex, 2008-2012
  • Postgraduate: PhD - University of Portmouth, 2012-2016
  • Research Associate - University of Western Australia, 2015-2019
  • Research Fellow in Cosmology - University of Queensland, 2019-

Availability

Dr Cullan Howlett is:
Available for supervision
Media expert

Qualifications

  • Doctor of Philosophy, University of Portsmouth

Research interests

  • Testing gravity using galaxy positions and motions

    One compelling way to explain dark matter and dark energy is that our current theory of gravity (General Relativity) doesn't work on scales much larger than the Solar system. One of my interests is developing different models and understanding how they can be proven or disproven with galaxy properties.

  • Fast simulations of large scale structure

    Current state of the art simulations are able to simulate the distributions of billions of galaxies, but these are very slow and can take weeks to run on the largest supercomputers. I'm interested in new approximate ways for generating these simulations or cool computational techniques such as machine learning, that can be run in a fraction of the time, or on fewer processors.

  • New statistical methods for analysing distributions of galaxies

    In addition to theoretical developments, I'm interested in looking for new statistical ways to use the galaxy data we have to give us insight into the Universe.

  • Gravitational waves

    Gravitational waves, first detected in 2015 are the new hot topic in physics and offer interesting ways to test cosmology. I'm interested in creating simulated catalogues of gravitational waves and using these to working out what cosmological insights gravitational waves can bring

Research impacts

What is the Universe actually made of? Everything we can see — every star, planet, and galaxy — makes up only about 5% of it. The rest is dark matter and dark energy: invisible, mysterious, and completely unlike anything we have ever detected in a laboratory. Understanding what they are is arguably the biggest open question in modern science.

My research extracts clues from the way galaxies move and cluster together across scales far beyond our own Milky Way galaxy, where the fingerprints of dark matter and dark energy are imprinted. I work on some of the largest galaxy surveys ever undertaken, and played a central role in recent results from the DESI collaboration that hint dark energy may be changing over time — a finding that, if confirmed, would rewrite textbook cosmology.

Beyond the science itself, the statistical and computing tools my team develops to handle these enormous datasets find applications in other fields, from finance to environmental modelling. And through my research group and teaching at UQ, I help train students in the quantitative skills that are in high demand across science, industry, and government.

History tells us that understanding the fundamental nature of our Universe eventually leads to technologies we can't yet imagine. My hope is that one day, unlocking the secrets of dark matter and dark energy could lead to amazing new technologies that would revolutionise how we live, work and play.

Works

Search Professor Cullan Howlett’s works on UQ eSpace

152 works between 2012 and 2026

81 - 100 of 152 works

2025

Journal Article

A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys

Maus, M., Lai, Y., Noriega, H.E., Ramirez-Solano, S., Aviles, A., Chen, S., Fromenteau, S., Gil-Marín, H., Howlett, C., Vargas-Magaña, M., White, M., Zarrouk, P., Aguilar, J., Ahlen, S., Alves, O., Brieden, S., Brooks, D., Burtin, E., Claybaugh, T., Cole, S., Dawson, K., Icaza-Lizaola, M., de la Macorra, A., de Mattia, A., Doel, P., Ferraro, S., Findlay, N., Forero-Romero, J.E., Gaztañaga, E. ... Zou, H. (2025). A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys. Journal of Cosmology and Astroparticle Physics, 2025 (1) 134, 1-36. doi: 10.1088/1475-7516/2025/01/134

A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys

2025

Journal Article

Validating the galaxy and quasar catalog-level blinding scheme for the DESI 2024 analysis

Andrade, U., Mena-Fernández, J., Awan, H., Ross, A.J., Brieden, S., Pan, J., de Mattia, A., Aguilar, J., Ahlen, S., Alves, O., Brooks, D., Buckley-Geer, E., Chaussidon, E., Claybaugh, T., Cole, S., de la Macorra, A., Dey, A., Doel, P., Fanning, K., Forero-Romero, J.E., Gaztañaga, E., Gil-Marín, H., Gontcho, S.Gontcho A., Guy, J., Hahn, C., Hanif, M.M.S., Honscheid, K., Howlett, C., Huterer, D. ... Weaver, B.A. (2025). Validating the galaxy and quasar catalog-level blinding scheme for the DESI 2024 analysis. Journal of Cosmology and Astroparticle Physics, 2025 (1) 128, 1-44. doi: 10.1088/1475-7516/2025/01/128

Validating the galaxy and quasar catalog-level blinding scheme for the DESI 2024 analysis

2025

Journal Article

Forward modeling fluctuations in the DESI LRGs target sample using image simulations

Kong, H., Ross, A.J., Honscheid, K., Lang, D., Porredon, A., de Mattia, A., Rezaie, M., Zhou, R., Schlafly, E.F., Moustakas, J., Rosado-Marin, A., Aguilar, J., Ahlen, S., Brooks, D., Chaussidon, E., Claybaugh, T., Cole, S., de la Macorra, A., Dey, Arjun, Dey, Biprateep, Doel, P., Fanning, K., Forero-Romero, J.E., Gaztañaga, E., Gontcho, S.Gontcho A., Gutierrez, G., Howlett, C., Juneau, S., Kremin, A. ... Zou, H. (2025). Forward modeling fluctuations in the DESI LRGs target sample using image simulations. Journal of Cosmology and Astroparticle Physics, 2025 (1) 146. doi: 10.1088/1475-7516/2025/01/146

Forward modeling fluctuations in the DESI LRGs target sample using image simulations

2025

Journal Article

An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond

Maus, M., Chen, S., White, M., Aguilar, J., Ahlen, S., Aviles, A., Brieden, S., Brooks, D., Claybaugh, T., Cole, S., de la Macorra, A., Dey, Arjun, Doel, P., Ferraro, S., Findlay, N., Forero-Romero, J.E., Gaztañaga, E., Gil-Marín, H., Gontcho, S.Gontcho A., Hahn, C., Honscheid, K., Howlett, C., Ishak, M., Juneau, S., Kremin, A., Lai, Y., Landriau, M., Levi, M.E., Manera, M. ... Zou, H. (2025). An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond. Journal of Cosmology and Astroparticle Physics, 2025 (1) 138, 1-59. doi: 10.1088/1475-7516/2025/01/138

An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond

2025

Journal Article

Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators

Pinon, M., de Mattia, A., McDonald, P., Burtin, E., Ruhlmann-Kleider, V., White, M., Bianchi, D., Ross, A.J., Aguilar, J., Ahlen, S., Brooks, D., Cahn, R.N., Chaussidon, E., Claybaugh, T., Cole, S., de la Macorra, A., Dey, B., Doel, P., Fanning, K., Forero-Romero, J.E., Gaztañaga, E., Gontcho A Gontcho, S., Howlett, C., Kirkby, D., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Lasker, J. ... Zou, H. (2025). Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators. Journal of Cosmology and Astroparticle Physics, 2025 (1) 131, 1-40. doi: 10.1088/1475-7516/2025/01/131

Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators

2025

Journal Article

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest

Adame, A.G., Aguilar, J., Ahlen, S., Alam, S., Alexander, D.M., Alvarez, M., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bailey, S., Baltay, C., Bault, A., Bautista, J., Behera, J., BenZvi, S., Beutler, F., Bianchi, D., Blake, C., Blum, R., Brieden, S., Brodzeller, A., Brooks, D., Buckley-Geer, E., Burtin, E., Calderon, R. ... The DESI collaboration (2025). DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest. Journal of Cosmology and Astroparticle Physics, 2025 (01) 124, 1-64. doi: 10.1088/1475-7516/2025/01/124

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest

2025

Journal Article

ELG spectroscopic systematics analysis of the DESI Data Release 1

Yu, J., Ross, A. J., Rocher, A., Alves, O., de Mattia, A., Forero-Sanchez, D., Kneib, J., Krolewski, A., Lan, T. -W, Rashkovetskyi, M., Aguilar, J., Ahlen, S., Bailey, S., Brooks, D., Chaussidon, E., Claybaugh, T., de la Macorra, A., Dey, Arjun, Dey, Biprateep, Doel, P., Fanning, K., Forero-Romero, J. E., Gaztanaga, E., Gontcho, S. Gontcho A., Honscheid, K., Howlett, C., Juneau, S., Kisner, T., Kremin, A. ... Zou, H. (2025). ELG spectroscopic systematics analysis of the DESI Data Release 1. Journal of Cosmology and Astroparticle Physics, 20 (1) 126, 1-36. doi: 10.1088/1475-7516/2025/01/126

ELG spectroscopic systematics analysis of the DESI Data Release 1

2025

Journal Article

Comparing Compressed and Full-Modeling analyses with FOLPS: implications for DESI 2024 and beyond

Noriega, H.E., Aviles, A., Gil-Marín, H., Ramirez-Solano, S., Fromenteau, S., Vargas-Magaña, M., Aguilar, J., Ahlen, S., Alves, O., Brieden, S., Brooks, D., Cervantes-Cota, J.L., Chen, S., Claybaugh, T., Cole, S., Dawson, K., de la Macorra, A., de Mattia, A., Doel, P., Findlay, N., Forero-Romero, J.E., Gaztañaga, E., Gontcho, S.Gontcho A., Honscheid, K., Hou, J., Howlett, C., Ishak, M., Juneau, S., Lai, Y. ... Zou, H. (2025). Comparing Compressed and Full-Modeling analyses with FOLPS: implications for DESI 2024 and beyond. Journal of Cosmology and Astroparticle Physics, 2025 (1) 136, 1-66. doi: 10.1088/1475-7516/2025/01/136

Comparing Compressed and Full-Modeling analyses with FOLPS: implications for DESI 2024 and beyond

2025

Journal Article

Blinding scheme for the scale-dependence bias signature of local primordial non-Gaussianity for DESI 2024

Chaussidon, E., de Mattia, A., Yèche, C., Aguilar, J., Ahlen, S., Brooks, D., Claybaugh, T., Cole, S., de la Macorra, A., Doel, P., Fanning, K., Gaztañaga, E., Gontcho, S.Gontcho A., Howlett, C., Kisner, T., Lambert, A., Le Guillou, L., Manera, M., Meisner, A., Miquel, R., Niz, G., Palanque-Delabrouille, N., Percival, W.J., Prada, F., Ross, A.J., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M. ... Zou, H. (2025). Blinding scheme for the scale-dependence bias signature of local primordial non-Gaussianity for DESI 2024. Journal of Cosmology and Astroparticle Physics, 2025 (1) 135, 1-30. doi: 10.1088/1475-7516/2025/01/135

Blinding scheme for the scale-dependence bias signature of local primordial non-Gaussianity for DESI 2024

2025

Journal Article

Optimal reconstruction of baryon acoustic oscillations for DESI 2024

Paillas, E., Ding, Z., Chen, X., Seo, H., Padmanabhan, N., de Mattia, A., Ross, A.J., Nadathur, S., Howlett, C., Aguilar, J., Ahlen, S., Alves, O., Andrade, U., Brooks, D., Buckley-Geer, E., Burtin, E., Chen, S., Claybaugh, T., Cole, S., Dawson, K., de la Macorra, A., Dey, Arjun, Doel, P., Fanning, K., Ferraro, S., Forero-Romero, J.E., Garcia-Quintero, C., Gaztañaga, E., Gil-Marín, H. ... Zou, H. (2025). Optimal reconstruction of baryon acoustic oscillations for DESI 2024. Journal of Cosmology and Astroparticle Physics, 2025 (1) 142. doi: 10.1088/1475-7516/2025/01/142

Optimal reconstruction of baryon acoustic oscillations for DESI 2024

2025

Journal Article

The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics

Blake, C., Garcia-Quintero, C., Ahlen, S., Bianchi, D., Brooks, D., Claybaugh, T., de la Macorra, A., Derose, J., Dey, A., Doel, P., Emas, N., Ferraro, S., Forero-Romero, J. E., Gutierrez, G., Heydenreich, S., Honscheid, K., Howlett, C., Ishak, M., Joudaki, S., Jullo, E., Kehoe, R., Kirkby, D., Kremin, A., Krolewski, A., Landriau, M., Lange, J. U., Leauthaud, A., Levi, M. E., Manera, M. ... Weaver, B. A. (2025). The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics. Open Journal of Astrophysics, 8. doi: 10.33232/001c.131903

The DESI-Lensing Mock Challenge: large-scale cosmological analysis of 3x2-pt statistics

2025

Journal Article

HOD-dependent systematics for luminous red galaxies in the DESI 2024 BAO analysis

Mena-Fernández, J., Garcia-Quintero, C., Yuan, S., Hadzhiyska, B., Alves, O., Rashkovetskyi, M., Seo, H., Padmanabhan, N., Nadathur, S., Howlett, C., Alam, S., Rocher, A., Ross, A.J., Sanchez, E., Ishak, M., Aguilar, J., Ahlen, S., Andrade, U., BenZvi, S., Brooks, D., Burtin, E., Chen, S., Chen, X., Claybaugh, T., Cole, S., de la Macorra, A., de Mattia, A., Dey, Arjun, Dey, B. ... Zou, H. (2025). HOD-dependent systematics for luminous red galaxies in the DESI 2024 BAO analysis. Journal of Cosmology and Astroparticle Physics, 2025 (01) 133, 1-40. doi: 10.1088/1475-7516/2025/01/133

HOD-dependent systematics for luminous red galaxies in the DESI 2024 BAO analysis

2025

Journal Article

The construction of large-scale structure catalogs for the Dark Energy Spectroscopic Instrument

Ross, A. J., Aguilar, J., Ahlen, S., Alam, S., Anand, A., Bailey, S., Bianchi, D., Brieden, S., Brooks, D., Burtin, E., Rosell, A. Carnero, Chaussidon, E., Claybaugh, T., Cole, S., Dawson, K., de la Macorra, A., de Mattia, A., Dey, A., Dey, B., Doel, P., Fanning, K., Ferraro, S., Ereza, J., Font-Ribera, A., Forero-Romero, J. E., Gaztanaga, E., Gil-Marin, H., Gontcho, S. Gontcho A., Gonzalez-Morales, A. X. ... Zou, H. (2025). The construction of large-scale structure catalogs for the Dark Energy Spectroscopic Instrument. Journal of Cosmology and Astroparticle Physics, 20 (1) 125, 1-38. doi: 10.1088/1475-7516/2025/01/125

The construction of large-scale structure catalogs for the Dark Energy Spectroscopic Instrument

2025

Journal Article

Production of alternate realizations of DESI fiber assignment for unbiased clustering measurement in data and simulations

Lasker, J., Carnero Rosell, A., Myers, A.D., Ross, A.J., Bianchi, D., Hanif, M.M.S., Kehoe, R., de Mattia, A., Napolitano, L., Percival, W.J., Staten, R., Aguilar, J., Ahlen, S., Bigwood, L., Brooks, D., Claybaugh, T., Cole, S., de la Macorra, A., Ding, Z., Doel, P., Fanning, K., Forero-Romero, J.E., Gaztañaga, E., Gontcho, S.Gontcho A., Gutierrez, G., Honscheid, K., Howlett, C., Juneau, S., Kremin, A. ... The DESI collaboration (2025). Production of alternate realizations of DESI fiber assignment for unbiased clustering measurement in data and simulations. Journal of Cosmology and Astroparticle Physics, 2025 (1) 127, 1-35. doi: 10.1088/1475-7516/2025/01/127

Production of alternate realizations of DESI fiber assignment for unbiased clustering measurement in data and simulations

2025

Journal Article

Validation of the DESI 2024 Lyα forest BAO analysis using synthetic datasets

Cuceu, Andrei, Herrera-Alcantar, Hiram K., Gordon, Calum, Martini, Paul, Guy, Julien, Font-Ribera, Andreu, Gonzalez-Morales, Alma X., Karim, M. Abdul, Aguilar, J., Ahlen, S., Armengaud, E., Bault, A., Brooks, D., Claybaugh, T., de la Macorra, A., Doel, P., Fanning, K., Ferraro, S., Forero-Romero, J. E., Gaztanaga, E., Gontcho, S. Gontcho A., Gutierrez, G., Honscheid, K., Howlett, C., Karacayli, N. G., Poppett, C., Kirkby, D., Kremin, A., Landriau, M. ... Zhou, H. (2025). Validation of the DESI 2024 Lyα forest BAO analysis using synthetic datasets. Journal of Cosmology and Astroparticle Physics, 20 (1) 148, 1-49. doi: 10.1088/1475-7516/2025/01/148

Validation of the DESI 2024 Lyα forest BAO analysis using synthetic datasets

2024

Journal Article

The redshift-space momentum power spectrum. III. Measuring the growth rate from the SDSSv survey using the auto- and cross-power spectrum of the galaxy density and momentum fields

Qin, Fei, Howlett, Cullan and Parkinson, David (2024). The redshift-space momentum power spectrum. III. Measuring the growth rate from the SDSSv survey using the auto- and cross-power spectrum of the galaxy density and momentum fields. The Astrophysical Journal, 978 (1) 7. doi: 10.3847/1538-4357/ad9391

The redshift-space momentum power spectrum. III. Measuring the growth rate from the SDSSv survey using the auto- and cross-power spectrum of the galaxy density and momentum fields

2024

Journal Article

The Atacama Cosmology Telescope DR6 and DESI: structure formation over cosmic time with a measurement of the cross-correlation of CMB lensing and luminous red galaxies

Kim, Joshua, Sailer, Noah, Madhavacheril, Mathew S., Ferraro, Simone, Abril-Cabezas, Irene, Aguilar, Jessica Nicole, Ahlen, Steven, Richard Bond, J., Brooks, David, Burtin, Etienne, Calabrese, Erminia, Chen, Shi-Fan, Choi, Steve K., Claybaugh, Todd, Darwish, Omar, de la Macorra, Axel, DeRose, Joseph, Devlin, Mark, Dey, Arjun, Doel, Peter, Dunkley, Jo, Embil-Villagra, Carmen, Farren, Gerrit S., Font-Ribera, Andreu, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gluscevic, Vera, Gontcho, Satya Gontcho A., Guy, Julien ... Zou, Hu (2024). The Atacama Cosmology Telescope DR6 and DESI: structure formation over cosmic time with a measurement of the cross-correlation of CMB lensing and luminous red galaxies. Journal of Cosmology and Astroparticle Physics, 2024 (12) 022, 1-47. doi: 10.1088/1475-7516/2024/12/022

The Atacama Cosmology Telescope DR6 and DESI: structure formation over cosmic time with a measurement of the cross-correlation of CMB lensing and luminous red galaxies

2024

Journal Article

Analysis of DESI ×dES using the Lagrangian effective theory of LSS

Chen, S., Derose, J., Zhou, R., White, M., Ferraro, S., Blake, C., Lange, J. U., Wechsler, R. H., Aguilar, J., Ahlen, S., Brooks, D., Claybaugh, T., Dawson, K., De La Macorra, A., Doel, P., Font-Ribera, A., Gaztañaga, E., Gontcho A Gontcho, S., Gutierrez, G., Honscheid, K., Howlett, C., Kehoe, R., Kirkby, D., Kisner, T., Kremin, A., Landriau, M., Le Guillou, L., Manera, M., Meisner, A. ... Weaver, B. A. (2024). Analysis of DESI ×dES using the Lagrangian effective theory of LSS. Physical Review D, 110 (10) 103518, 1-42. doi: 10.1103/PhysRevD.110.103518

Analysis of DESI ×dES using the Lagrangian effective theory of LSS

2024

Journal Article

The MOST Hosts survey: spectroscopic observation of the host galaxies of ∼40,000 transients using DESI

Soumagnac, Maayane T., Nugent, Peter, Knop, Robert A., Ho, Anna Y. Q., Hohensee, William, Awbrey, Autumn, Andersen, Alexis, Aldering, Greg, Ventura, Matan, Aguilar, Jessica N., Ahlen, Steven, Benzvi, Segev Y., Brooks, David, Brout, Dillon, Claybaugh, Todd, Davis, Tamara M., Dawson, Kyle, de la Macorra, Axel, Dey, Arjun, Dey, Biprateep, Doel, Peter, Douglass, Kelly A., Forero-Romero, Jaime E., Gaztañaga, Enrique, Gontcho A Gontcho, Satya, Graur, Or, Guy, Julien, Hahn, ChangHoon, Honscheid, Klaus ... Zhou, Zhimin (2024). The MOST Hosts survey: spectroscopic observation of the host galaxies of ∼40,000 transients using DESI. The Astrophysical Journal Supplement Series, 275 (2) 22, 1-14. doi: 10.3847/1538-4365/ad76ae

The MOST Hosts survey: spectroscopic observation of the host galaxies of ∼40,000 transients using DESI

2024

Journal Article

Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey

Lamman, Claire, Eisenstein, Daniel, Forero-Romero, Jaime E., Aguilar, Jessica Nicole, Ahlen, Steven, Bailey, Stephen, Bianchi, Davide, Brooks, David, Claybaugh, Todd, de la Macorra, Axel, Doel, Peter, Ferraro, Simone, Font-Ribera, Andreu, Gaztañaga, Enrique, Gontcho, Satya Gontcho A., Gutierrez, Gaston, Honscheid, Klaus, Howlett, Cullan, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Le Guillou, Laurent, Levi, Michael E., Meisner, Aaron, Miquel, Ramon, Moustakas, John, Newman, Jeffrey A., Niz, Gustavo, Prada, Francisco ... Zou, Hu (2024). Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey. Monthly Notices of the Royal Astronomical Society, 534 (4), 3540-3551. doi: 10.1093/mnras/stae2290

Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey

Funding

Current funding

  • 2025 - 2028
    Cosmic Cartography to Counter Cosmic Conundrums
    ARC Discovery Projects
    Open grant

Past funding

  • 2022 - 2025
    A Space Odyssey: Exploring the Universe with Gravitational-Wave Sirens
    ARC Discovery Projects
    Open grant

Supervision

Availability

Dr Cullan Howlett is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • Mapping the Universe with DESI and 4HS

    Maps of the positions of millions of galaxies in our Universe are used to refine our understanding of its components and evolution. However, these experiments have left us with more questions than answers. What is the nature of dark energy and dark matter? Is Einstein’s theory of General Relativity correct on scales beyond our solar system?

    Upcoming surveys aim to answer these questions. But understanding how the distributions and motions of galaxies relate to fundamental physics and how to sift through this enormous amount of data to uncover the truth requires improving our analysis techniques and developing new ways to use the data.

    Many projects are available under this theme, with different emphasis on mathematical theory, data analysis or computer programming. They could involve improving and speeding up methods for simulating the Universe on supercomputers. Or developing new mathematical models for describing how galaxies cluster and move relative to each other. Or, they could involve using real measurements of positions and velocities of galaxies we are currently obtaining or working towards with surveys such as the Dark Energy Spectroscopic Instrument, WALLABY, or the 4MOST Hemisphere Survey.

  • Cosmology with gravitational waves

    Gravitational waves are ripples in space-time that propogate away from massive compact objects as they merge, to hopefully, eventually, be detected here on Earth by the LIGO/Virgo gravitational wave detectors. Gravitational waves hold information on some of the most exotic objects in the Universe such as black holes and neutron stars. They can also be used to test cosmological models, particularly because they act as "Standard Sirens" - the gravitational waveform tells us how far away the merging objects are which then can be used to work out how fast the Universe is expanding and how fast it's large scale structures are growing.

    This project will look at techniques for extracting Standard Siren measurements from gravitational waves. In particular, developing simulated catalogues of gravitational wave events and then using these simulations to work out how best to extract cosmology from the real data. This project brings together a range of fields, from understanding the details of how black holes and neutron stars are formed, to theoretical modelling of future cosmology studies that might be possible once we have hundreds of gravitational waves.

Supervision history

Current supervision

Completed supervision

Media

Enquiries

Contact Dr Cullan Howlett directly for media enquiries about:

  • Astronomy
  • Astrophysics
  • Cosmology
  • Dark energy
  • Dark matter

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