Seminar Series
A goal of the Radio Camera Initiative is to develop a pipeline for streaming data in real-time on highly optimized platforms (e.g. GPUs, TPUs) that can be integrated into the digital backends being developed by the entire community. This effort is occurring against the backdrop of an explosive growth period in the software and algorithms used for radio astronomy motivated by the SKA, VLA/ngVLA, ALMA, MeerKAT, ASKAP, LOFAR, MWA, HERA, LWA, GMRT, EVN and VLBA etc. In the initial exploratory phase of the RCI, we have invited luminaries worldwide to present the cutting edge techniques being used for flagging, calibration, imaging and data processing in radio astronomy and beyond.
If interested, please sign up to the seminar series email alerts below, or email rci-subscribe@lists.astro.caltech.edu with your request.
Past Seminars
Piecing together a radio telescope: correlator and pipeline concepts for the RCI
Jack Hickish (Real-Time Radio Systems Limited)
The craft and duty of scientific software engineering
Peter Williams (CfA/Harvard & Smithsonian)
QuartiCal - embarrassingly parallel calibration with Numba and Dask
Jonathan Kenyon (Rhodes University)
An optimisation perspective on extreme-scale computational imaging in radio astronomy
Yves Wiaux (Heriot-Watt University)
Prototype design for next generation CASA using Zarr Xarray, Dask and Numba
Jan-Willem Steeb (NRAO)
Platform independent HPC, recursive Bayesian inference, tomographic ionosphere calibration, and new perspectives
Joshua Albert (Leiden University)
Algorithms for interferometric radio processing: towards 100k x 100k images
André Offringa (ASTRON)
Designing a parallel, distributed dask-based radio astronomy framework
Simon Perkins (South African Radio Astronomy Observatory)
RFI mitigation in MeerKAT simulations using deep learning
Alireza Vafaei Sadr (University of Geneva)
New perspectives in wide-field imaging and spectro-polarimetry with new reconstruction algorithms
Luke Pratley (University of Toronto)
The LOFAR two-meter sky surveys(s), algorithms and science
Cyril Tasse (Paris Observatory)
Coping with a containerful of parallel Meerkats: candid lessons from two years of data inundation
Oleg Smirnov (Rhodes University)