-
Shourya Mukherjee (University of New South Wales)07/07/2025, 10:00Oral
The radial migration and chemical evolution of the stars in the Milky Way disc can be studied through the dynamics, distribution and chemical abundances of open clusters. With the latest GALAH DR4 catalogue, we are now able to work with refined stellar parameters and up to 30 elemental abundances per star. I will present my work on obtaining a revised catalogue of open cluster stars, with 76...
Go to contribution page -
Thomas Hilder (School of Physics and Astronomy, Monash University)07/07/2025, 10:15Oral
The SDSS-V Local Volume Mapper (LVM) survey is delivering unprecedented spectroscopic information about our galaxy, enabling detailed studies of star formation and galaxy evolution across a wide range of spatial scales. LVM is uniquely positioned to map energy and momentum transport, chemical abundances, and the thermal structure of the interstellar medium, down to 0.05 parsecs. Weak emission...
Go to contribution page -
Grace Piroscia (University of Sydney)07/07/2025, 10:30Oral
Now more than 150 years old, the technique of aperture masking interferometry has played a crucial role in high angular resolution astronomy, allowing ground-based observatories to achieve sub-seeing-limited precision. Today, when complemented with adaptive optics, aperture masking continues to provide high-resolution observations, pushing beyond the classical diffraction limit. However,...
Go to contribution page -
Maja Jablonska (Research School of Astronomy & Astrophysics, Australian National University)07/07/2025, 10:45Oral
I present SPICE, a framework designed to efficiently generate time-series synthetic spectra for stars with surface inhomogeneities such as spots, binary occultation, abundance anomalies, radial pulsations, and non-spherical symmetry. These effects have been studied in photometry, interferometry, and spectroscopy before, but there's an unfilled niche for tools capable of processing and fitting...
Go to contribution page -
Gabriel Collin09/07/2025, 10:00Oral
The identification and description of point sources is one of the oldest problems in astronomy; yet, even today an efficient and comprehensive statistical treatment for point sources remains one of the field's hardest problems. For dim or crowded populations, likelihood based inference methods are needed to estimate the uncertainty of the population characteristics. Probabilistic cataloguing...
Go to contribution page -
Brayden Leicester (University of Canterbury)09/07/2025, 10:15Oral
The number of low Earth orbit (LEO) satellites is increasing, and they are having a noticeable impact on the quality of a large range of astronomical data. We use archival data from the Multi Unit Spectrographic Explorer (MUSE) to quantify the effects of satellites on the datacubes. MUSE is an integral field unit (IFU) so it captures a spectrum at every pixel in the field of view. Using the...
Go to contribution page -
Akhil Jaini (Swinburne University of Technology)09/07/2025, 10:30Oral
Accurate localisation of Fast Radio Bursts (FRBs) is essential for identifying their host galaxies, constraining progenitor models, and employing FRBs as precise cosmological probes. For extragalactic FRBs, particularly those at higher redshifts (z > 1), sub-arcsecond astrometry is required to robustly associate them with host galaxies and disentangle contributions to dispersion and scattering...
Go to contribution page -
Huimin Qu (The University of Sydney)09/07/2025, 10:45Oral
The growing flood of gravitational lensing data in the era of big-data astronomy brings both opportunities and challenges—particularly in modeling efficiency and the reliability of inferences from a given dataset.
Go to contribution page
In this work, we reconstruct 16 strong lens candidates using multi-band PISCO data from the Magellan Telescope, employing a scalable pipeline that jointly models all four bands (z,... -
Lachlan Barnes (Macquarie University)10/07/2025, 10:00Oral
The advent of next-generation telescope facilities brings with it an unprecedented amount of data, and the demand for effective tools to process and classify this information has become increasingly important. There have been many applications of machine learning (ML) in this context, however ML can be computationally expensive and often requires manually curated training sets. This work...
Go to contribution page -
Melissa Campbell (Australian National University)10/07/2025, 10:15Oral
Galaxy distances measured using standard methods like the Tully-Fisher relation and the Fundamental Plane have relative errors of 20-30%. Beyond a few tens of Mpc, this means that the errors in galaxy peculiar velocities are generally much larger than the peculiar velocities themselves. It is therefore highly desirable to find ways to reduce the uncertainties in such distance estimates. We...
Go to contribution page -
Samuel Lai (CSIRO)10/07/2025, 10:30Oral
The Event Horizon Telescope (EHT) collaboration's iconic images of the supermassive black holes in M87 and the Milky Way delivered profound implications for our understanding of fundamental physics under strong gravitational fields. Producing these images required pushing radio interferometric imaging to its limits -— grappling with severely sparse data coverage, low signal-to-noise ratios,...
Go to contribution page -
Max Charles (University of Sydney)10/07/2025, 10:45Oral
Flying on board the James Webb Space Telescope (JWST) above Earth's turbulent atmosphere, the Aperture Masking Interferometer (AMI) stands as the highest resolution optical interferometer ever placed in space.
Go to contribution page
However, imaging is severely limited by non-linear detector systematics, particularly charge migration known as the brighter-fatter effect (BFE).
Conventional interferometric Fourier...
Choose timezone
Your profile timezone: