Dr Anais Moller
Doctorat de physique de l'Univers, Université Paris Diderot 7, France; Master 2 Noyaux, Particules, Cosmologie et Astroparticules (NPAC), Université Paris Diderot 7, France; Licenciatura en Física, Universidad Simón Bolívar, Venezuela, Bolivarian Republic of
- School of Science, Computing and Engineering Technologies (SoSCET)
- Centre for Astrophysics and Supercomputing
- Department of Physics and Astronomy
- Hawthorn campus
Dr. Anais Möller is currently leading research in the areas of cosmology and transient astrophysics. To do so, she works with extremely large astronomical datasets. To maximize the information we can use to understand our Universe, she develops innovative tools with a large emphasis on machine learning.
Dr. Möller is co-leading Fink broker empowering transient science in this new era of big data (https://fink-broker.org). Fink processes large survey data to select the most exciting transients for a variety of science cases using data-intensive technologies as machine learning. Fink has been selected to process data from the largest optical survey in the world at the Vera C. Rubin Observatory.
Dr. Möller aims to constrain the nature of Dark Energy with Type Ia Supernovae (SNe Ia) at the Dark Energy Survey. SNe Ia are very energetic stellar explosions. They are the best “standardizable candles”: objects with reproducible luminosities, used to measure distances in the Universe and thus the effect of Dark Energy. However, the nature of dark energy remains elusive. She specialises in reducing current analysis limitations using photometric classification to obtain orders of magnitude more SNe Ia than traditional methods, and modelling selection biases.
Dr. Möller studies multi-wavelength and messenger fast-transients. Fast transients include some of the most exotic explosions and collisions or mergers in the universe, involving black holes, magnetars, neutron stars, blitzars, extreme novae and supernovae. She searches for and follows up fast transients (bursts with millisecond-to-hours duration) in real-time with the world’s largest transient collaboration the Deeper Wider Faster program as well as a diversity of transients with the LSST Transients and Variable Stars Collaboration.
Her research includes the search for electromagnetic counterparts to gravitational waves as part of the Centre of Excellence for Gravitational Wave Discovery (ARC CoE OzGrav), in which Dr. Möller is an Associate Investigator.
Dr. Möller develops high-end machine learning algorithms for astronomy and cosmology. She works towards interpretability of ML and introduced Bayesian Neural Networks to astrophysical classification problems. ML is a powerful tool and she has developed various applications tackling transient event detection and light-curve classification.
Advanced Statistics and Big Data; Cosmology; GPU and advanced HPC algorithms; Scientific Computing and Visualisation
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
Available to supervise honours students.
Honours topics and outlines
Exploring the realm of transients: Exploding stars and bursts of radiation, called transients due to their limited timespan, provide information on the extreme and fundamental physics of the Universe. They create chemical elements, stars and galaxies. We will use Fink to explore ZTF data and study properties of transients including supernovae and new types.
Transient classification with Machine Learning: We are entering into a new era for astronomy with surveys discovering millions transients per night. Transients appear suddenly and fade; enriching the Universe and outshining galaxies.In this project you will develop machine learning algorithms to select exotic transients.You will work with algorithms, simulations and data from optical surveys.Experience with ML is highly preferred.
Fields of Research
- Cosmology And Extragalactic Astronomy - 510103
- General Relativity And Gravitational Waves - 510105
Also published as: Moller, Anais; Moller, A.; Moeller, A.; Moeller, Anais; Möller, A.; Möller, Anais
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Recent research grants awarded
- 2023: Explosive Astrophysics from Siding Spring Observatory *; ARC Linkage Infrastructure and Equipment Scheme
- 2023: Illuminating the dark Universe with explosive astrophysical events *; ARC Discovery Early Career Researcher Award (DECRA)
* Chief Investigator