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DTSTART;TZID=Australia/Sydney:20240508T150000
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DTSTAMP:20260517T022337
CREATED:20250819T055031Z
LAST-MODIFIED:20250819T055031Z
UID:14864-1715180400-1715184000@www.atnf.csiro.au
SUMMARY:S&A Colloquium: Anna Scaife  (Uni of Manchester\, UK); Jayaram N Chengalur (TIFR\, India); Scott Ransom (NRAO\, USA)
DESCRIPTION:CSIRO Space & Astronomy Special Mini-Symposium\n\nAbstract\n\n This week a special mini-symposium will be held in-person at Marsfield\, and on-line\, with the three international members of the ATNF Steering Committee each giving a short presentation. \n\nScaling laws and self-supervised learning in AI for astrophysics – Anna Scaife (University of Manchester)\n\n As the current trend in deep-learning tends towards more data\, more compute and more parameters\, we ask: how large can astrophysical deep-learning models get? Using the largest dataset of labelled astronomy data available\, we examine the scaling laws for supervised problems in astrophysics and conclude that self-supervised learning is a more promising direction for large-scale deep-learning in astronomy given the available label volumes; however\, we also conclude that using in-domain (astronomy) data for pre-training results in better performance for the down-stream tasks from these self-supervised representations. Finally\, I will show how we are building self-supervised foundation models for radio astronomy and a variety of the downstream tasks where we have applied them in practice. \n\nThe evolution of the HI content of galaxies – Jayaram Chengalur (TIFR)\n\n Over cosmic time\, galaxies grow by merger\, and/or by the accretion of matter via inflows. As galaxies evolve they also convert their gas into stars. On a cosmic scale\, it is well established that the star formation peaked about 10 billion years ago and that the average star formation rate per unit volume has declined sharply since then. Hydrogen is dominant baryonic component of galaxies\, and atomic hydrogen is also the primary fuel for star formation. Stars form as the gas cools to become molecular hydrogen\, and then cools further and collapses into stars under self gravity. Understanding the evolution of the atomic hydrogen content of galaxies is hence key to understanding the evolution of the star formation rate with cosmic time. The recent upgrade to the Giant Metrewave Radio Telescope (GMRT)\, has allowed significant progress to be made in observing HI in galaxies at redshifts around 1 using the stacking method. In this talk\, I will discuss some of the results from ongoing atomic hydrogen surveys of star forming galaxies using the upgraded GMRT. \n\nNew Exotic and Massive Pulsars in Globular Clusters – Scott Ransom (NRAO)\n\n In the past five years\, the number of known globular cluster pulsars\, most of them of the millisecond variety\, has blossomed by more than 130 to a total of over 300. The main reasons were the commissioning of the extremely sensitive FAST and MeerKAT radio telescopes\, and increased computing power applied to the searches themselves. In this talk I’ll mention some of the fascinating exotic systems that have been found\, discuss the importance of long-term timing of these systems\, and hint at the astrophysics and basic physics those systems will provide. \nWatch recording\nEvent details\nDownload iCal\nCategory\nColloquia
URL:https://www.atnf.csiro.au/event/sa-colloquium-anna-scaife-uni-of-manchester-uk-jayaram-n-chengalur-tifr-india-scott-ransom-nrao-usa/
LOCATION:NSW
CATEGORIES:Colloquia
ATTACH;FMTTYPE=image/jpeg:https://www.atnf.csiro.au/wp-content/uploads/2024/12/Colloq-08052024a.jpg
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DTSTART;TZID=Australia/Sydney:20240515T150000
DTEND;TZID=Australia/Sydney:20240515T160000
DTSTAMP:20260517T022337
CREATED:20250819T054651Z
LAST-MODIFIED:20250819T054652Z
UID:14865-1715785200-1715788800@www.atnf.csiro.au
SUMMARY:S&A Colloquium: Kai Polsterer (HITS gGmbH\, Heidelberg)
DESCRIPTION:From Supervised to Unsupervised ML: lessons learned from learning machines\n\nAbstract\n\nThe amount\, size\, and complexity of astronomical data-sets is growing rapidly in the last decades. Now\, with new technologies and dedicated survey telescopes\, the databases are even growing faster. Besides dealing with poly-structed and complex data\, sparse data has become a field of growing scientific interest. By applying technologies from the fields of computer sciences\, mathematics\, and statistics\, astronomical data can be accessed and analysed more efficiently. \n\n A specific field of research in astroinformatics is the estimation of the redshift of extra-galactic sources\, a measure of their distance\, by just using sparse photometric observations. Observing the full spectroscopic information that would be necessary to directly measure the redshift\, would be too time-consuming. Therefore\, building accurate statistical models is a mandatory step\, especially when it comes to reflecting the uncertainty of the estimates. Statistics and especially weather forecasting has introduced and utilized proper scoring rules and especially the continuous ranked probability score to characterize the calibration as well as the sharpness of predicted probability density functions. \n\n After presenting how this work led from well calibrated redshift estimates to an improvement in statistical post-processing of weather forecast simulations\, an example of interdisciplinarity in data-science\, we continue with unsupervised machine learning techniques. We start with the challenge of classifying morphologies of radio-galaxies\, talk about star-formation history in LMC\, discuss the difficulties in representing time-series\, and end with a discussion on novel explorative science platforms for e.g. spectral data. In this part of the talk\, we show-case how machine learning can be used as a machinery of discovery to access large data-sets. Several examples are presented to provide examples for the individual researchers in the audience. \nWatch recording\nEvent details\nDownload iCal\nCategory\nColloquia
URL:https://www.atnf.csiro.au/event/sa-colloquium-kai-polsterer-hits-ggmbh-heidelberg/
LOCATION:NSW
CATEGORIES:Colloquia
ATTACH;FMTTYPE=image/png:https://www.atnf.csiro.au/wp-content/uploads/2024/12/Colloq-15052024.png
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BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20240522T150000
DTEND;TZID=Australia/Sydney:20240522T160000
DTSTAMP:20260517T022337
CREATED:20250819T054344Z
LAST-MODIFIED:20250819T054345Z
UID:14866-1716390000-1716393600@www.atnf.csiro.au
SUMMARY:S&A Colloquium: Aman Chokshi (University of Melbourne)
DESCRIPTION:Instrumental Challenges of an Epoch of Reionization Detection\n\nAbstract\n\nAll-sky satellite measurements of Murchison Widefield Array beams reveal significant asymmetric sidelobe distortions at an ~10% level\, attributed to a range of environmental effects. In this talk I present the experiment used to carry out satellite beam measurements\, and the Bayesian MCMC framework developed to incorporate these satellite measurements into a simulation test-bed to understand and propagate the effects of distorted beams on Epoch of Reionization (EoR) Science. I demonstrate how mismatches between realistically deformed beams and the perfect beam assumed during calibration lead to unavoidable spectral contamination between 100-1000 times brighter than the expected EoR signal. I also outline methods which will enable next-generation telescopes such as the Square Kilometre Array to implement parallel and affordable beam monitoring systems\, facilitating the highest fidelity science outputs. \nWatch recording\nEvent details\nDownload iCal\nCategory\nColloquia
URL:https://www.atnf.csiro.au/event/sa-colloquium-aman-chokshi-university-of-melbourne/
LOCATION:NSW
CATEGORIES:Colloquia
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BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20240529T150000
DTEND;TZID=Australia/Sydney:20240529T160000
DTSTAMP:20260517T022337
CREATED:20250819T054222Z
LAST-MODIFIED:20250819T054223Z
UID:14867-1716994800-1716998400@www.atnf.csiro.au
SUMMARY:S&A Colloquium: Ellie Sansom (ICRAR/Curtin)
DESCRIPTION:A Global Fireball Observatory for planetary defence: a multidisciplinary approach\n\nAbstract\n\nWhen asteroids hit the Earth’s atmosphere\, they produce light\, heat and shock waves. Observing these phenomena\, from the fireball to the seismic and infrasound\, gives us a huge amount of information about the impacting object. We can calculate where they came from (their orbit)\, what they’re made of (geochemistry)\, size of the object\, and even where any meteorites might land. Large\, hazardous asteroid impacts are rare\, and civilisation-ending events from km-sized asteroids are relatively well constrained. But\, metre sized objects are still capable of posing a threat to people and property. Understanding these larger (>1 m diameters) events is fundamental to understanding the numbers of hazardous objects in the inner solar system; a key component to planetary defence. The Global Fireball Observatory is a planetary-scale observational facility for rare\, fireball events occurring when asteroids hit our atmosphere. Multi-sensor observations allows us to characterise these objects and inform the size frequency distribution of near Earth objects\, underlying planetary defence efforts. \nWatch recording\nEvent details\nDownload iCal\nCategory\nColloquia
URL:https://www.atnf.csiro.au/event/sa-colloquium-ellie-sansom-icrar-curtin/
LOCATION:NSW
CATEGORIES:Colloquia
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