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Black Hole

Lensing of space time around a black hole. At Oxford we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Dr Micah Bowles

Schmidt AI in Science Fellow

Research theme

  • Astronomy and astrophysics

Sub department

  • Astrophysics

Research groups

  • Zooniverse
  • Galaxy formation and evolution
  • MeerKAT
  • The Square Kilometre Array (SKA)
  • Breakthrough Listen
micah.bowles@physics.ox.ac.uk
Publications
Personal Website
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  • About
  • Research
  • Publications

AI Enabled Probes of Large Astronomical Surveys

Welcome!

I work on finding ways to analyse our large survey science data in new and efficient ways to make the most of what we are collecting! I investigate modern AI methods and their properties to enable new science probes from the large data products observatories are collecting!

I am a Schmidt AI in Science Fellow funded through Schmidt Sciences, and an Associate Research Fellow at Reuben College.

Schmidt AI in Science Fellowship

Robust multimodal galaxy embeddings

To understand the evolution of galaxies, astronomers study their characteristic features (eg spiral arms). Machine learning has been used successfully to retrieve certain properties from millions of galaxies! To retrieve other properties, new models must be trained which can be costly and time-consuming. I am researching the application of a new class of AI models trained on different observations of the same objects, giving the resulting model the ability to identify a broader range of characteristics, and potentially uncover new physics.

The Multimodal Universe

Help build the uniform ML-centric interface to astronomical data curated by domain experts! Lend your expertise to our open collaboration: reach out or contribute directly!
Multimodal Universe

Radio Galaxy Zoo EMU

Join in and advance modern astronomical surveys of the radio sky with RGZ EMU on zooniverse!
RGZ EMU

Research interests

Neural Network Scaling
Language
Representation Learning
Multimodal Learning
Survey Science
Radio Interferometry
Cosmic Magnetism

Selected publications

Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy

ArXiv 2304.07171 (2023)
Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna MM Scaife, Inigo Val Slijepcevic, Elizabeth AK Adams, Alexander Drabent, Thomas Dugdale, Gülay Gürkan, Andrew M Hopkins, Eric F Jimenez-Andrade, Denis A Leahy, Ray P Norris, Syed Faisal ur Rahman, Xichang Ouyang, Gary Segal, Stanislav S Shabala, O Ivy Wong

Scaling Laws for Galaxy Images

(2024)
Mike Walmsley, Micah Bowles, Anna MM Scaife, Jason Shingirai Makechemu, Alexander J Gordon, Annette MN Ferguson, Robert G Mann, James Pearson, Jürgen J Popp, Jo Bovy, Josh Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J Lintott, Kameswara Mantha, Devina Mohan, David O'Ryan, Inigo V Slijepevic

Attention-gating for improved radio galaxy classification

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 501:3 (2021) 4579-4595
Micah Bowles, Anna MM Scaife, Fiona Porter, Hongming Tang, David J Bastien

Radio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 514:2 (2022) 2599-2613
Inigo V Slijepcevic, Anna MM Scaife, Mike Walmsley, Micah Bowles, O Ivy Wong, Stanislav S Shabala, Hongming Tang
See all publications

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