[ASA] ASA mail to all

[Marc Duldig]

Hi Joss

Please send the message directly to asa at mailman.sydney.edu.au<mailto:asa at mailman.sydney.edu.au>

It will explode from there but will also go properly into the message archive with you as the originator. I'll approve it as soon as it gets in the queue.

Cheers

Marc
___________

Dr Marc Duldig
School of Natural Sciences
University of Tasmania
Private Bag 37
Hobart Tas 7001

Mobile: + 61 (0)421 757 285
Email: marc.duldig at utas.edu.au<mailto:marc.duldig at utas.edu.au>
___________

Astronomical Society of Australia, Secretary
Tasmanian Radiation Advisory Council, Member
Australian Institute of Physics, Former President

From: Jonathan Bland-Hawthorn <jonathan.bland-hawthorn at sydney.edu.au>
Sent: Monday, 5 September 2022 9:59 AM
To: Marc Duldig <marc.duldig at utas.edu.au>
Cc: Jonathan Bland-Hawthorn <jonathan.bland-hawthorn at sydney.edu.au>
Subject: ASA mail to all

Marc, a special talk to advertise on the ASA mailer.
I asked JL about this.

Joss.

**

Hello everybody,

After waiting a couple of years, Professor David Spergel has finally found time after his transition to speak to us as part of the SIfA Seminar series on Friday September 9, 2022 at 11:00 AM AEST (Thursday September 8 at 9:00 PM New York Time). If you have interests in how machine learning is invading theoretical astrophysics, you won't want to miss this!

Here is the corresponding zoom link:

https://uni-sydney.zoom.us/j/89621020890<https://uni-sydney.zoom.us/j/89621020890>

I will chair the session and lead the discussion. Please feel free to add questions to the chat window so that we can organize things at the end a bit.

Joss.

**

Machine Learning and Cosmology

David N. Spergel
President, Simons Foundation
president at simonsfoundation.org<mailto:president at simonsfoundation.org>

Abstract

This lecture will explore the use of machine learning as a tool for cosmological simulation.  Can neural networks provide a better way of modeling multi-scale physics in cosmology and other applications?  Can we use machine learning to improve our ability to forward model the universe from initial conditions to observations? Will these tools enable cosmologists to extract more information than is encoded in the traditional two point statistics from upcoming surveys like the Rubin Observatory, Roman Space Telescope, DESI and the Simons Observatory?  How can we interpret these models?


Biography

David N. Spergel is the President of the Simons Foundation. He is the Charles Young Professor of Astronomy Emeritus at Princeton University and was the Founding Director of the Center of Computational Astrophysics at the Flatiron Institute in NY.

Spergel received his undergraduate degree from Princeton in 1982 (summa cum laude, Phi Beta Kappa). After a year of study at Oxford University, he received his PhD from Harvard in 1985. After two years as a long-term member at the Institute for Advanced Study, he joined the Princeton astrophysics faculty in 1987, where he was also Associate Faculty in the Departments of Physics and Mechanical and Aerospace Engineering. He served as Department Chair from 2006 to 2016. During his term as chair, the department was consistently ranked as #1 by US News and World Reports and by the NAS. In 2016, he became the Founding Director of the Center for Computational Astrophysics. In 2021, he assumed leadership of the Simons Foundation.

Spergel is a fellow of the American Physical Society, a Legacy Fellow of the American Astronomical Society, a member of the American Philosophical Society, National Academy of Sciences and the American Academy of Arts and Sciences, and has been awarded the MacArthur Fellowship, the Breakthrough Prize, the Gruber Prize, the Shaw Prize, Sloan Fellowship and the Presidential Young Investigator award. The American Astronomical Society recognized his contributions with its Warner Prize, the Heinemann Prize and his selection as its inaugural Kavli Lecturer. Time Magazine listed Spergel in its 2001 issue as one of America's top scientists and in its 2012 issue as one of the 25 most influential people in Space. Spergel has served as chair of the NAS Committee on Astronomy and Astrophysics, the NAS Space Studies Board, NASA Astrophysics subcommittee, and as a member of the NASA Advisory Council. For his contributions to NASA, he was twice awarded the NASA Exceptional Public Service Award. He received a D. Sc. (Hon) from the American Museum of Natural History.

Spergel was one of the leaders of the Wilkinson Microwave Anisotropy Prove (WMAP), which measured the age, shape and composition of the universe. Spergel served as co- chair of the Roman Space Telescope (formerly, WFIRST) science team. He has played a significant role in designing the coronagraph and in shaping the overall mission.

He has been the primary mentor for over 33 graduate students, 45 postdoctoral fellows and 60 undergraduates. His mentees are now faculty members at Barcelona, Cambridge, Cardiff, Columbia, Cornell, Cooper Union, Harvard, Max-Planck Institute, NYU, Oxford, Rutgers, UCSB, UCSD, UCL, USC, Texas Tech, U Tokyo, U Toronto and U Washington. His mentorship has been recognized by Princeton's Presidential Distinguished Teaching Award and the National Society of Black Physicists' mentorship award. Spergel is the author of over 400 papers with over 115,000 citations, and an h-index of 127.






PROFESSOR Joss Bland-Hawthorn | ARC Laureate Fellow | FAA FOSA
Director | Sydney Institute for Astronomy | School of Physics | Faculty of Science
Project Scientist, Sydney Astrophotonic Instrumentation Labs
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NSW 2006 | Australia
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