SANJAY BHATNAGAR
I did my PhD at the Tata Institute of Fundamental Research, India working at the National Center for Radio Astrophysics at Pune. During my PhD, I learned the the tools and tricks of radio astronomy via building parts of the Giant Meterwave Radio Telescope (GMRT) and extensively participating in its commissioning. I later moved to the National Radio Astronomy Observatory (NRAO), USA, where I now work as a Scientist. My current research focus in on algorithms for calibration and imaging of wide-band telescopes for wide-field full-Stokes imaging, related scientific software development, and application to Galactic astronomy. A recently developed research interest is in the area of High Performance and High Throughput computing.
Currently I lead the Algorithms R&D Group (ARDG) at NRAO and also serve as the System Scientists for the Data Management and Services division of NRAO, were the team is working on developing data processing solutions for the VLA, ALMA and ngVLA telescopes.
Session
The technique of interferometric imaging has enabled remarkable
 precision, resolution and sensitivity of telescopes at radio
 wavelengths. Sensitivity of an Interferometric telescope scales with
 the number of antennas in an antenna-array telescope. While the
 resolution is proportional to the largest separation between these
 antennas, the precision depends on the stability of the signal
 collected over a range of time and frequency. Noise limited imaging
 with such telescopes therefore critically depends on precise
 calibration of the data, which in-turn requires detailed understanding
 of the various electronic and atmospheric elements in the signal path.
 With the wide-band receivers of modern telescopes, wide-field
 wide-band imaging using calibrated data requires detailed
 understanding of the optics involved in using the technique of Earth
 rotation aperture synthesis. Such telescopes are fundamentally
 indirect imaging devices which only partially samples the data space.
 Noise-limited image reconstruction is therefore fundamentally an
 iterative process. Along with large volume of data required to reach
 the full potential of the telescopes, this leads to enormous
 size-of-computing requirements. The need to understand telescope
 hardware, instantaneous atmospheric models, telescope optics, signal
 processing techniques, computational numerical techniques, computer
 science techniques, scientific software development techniques and
 High Performance Computing (HPC) and High Throughput Computing (HTG),
 makes algorithms R&D a highly inter-disciplinary field of research.
 Depending on the individual interest, this makes research in this
 field exciting and intellectually challenging with opportunities
 for continuous growth.
In this talk, with the goal of conveying the excitement, joys and
 challenges of algorithms R&D in this area, I will give an overview of
 what I think is required in terms of calibration and imaging
 algorithms to enable the full potential of a modern Interferometric
 radio telescope in a manner that allows users of the telescope to
 largely focus on the astrophysical goals. This will include experience
 of my personal journey in this field, fundamental advances in the past
 few decades, the current state-of-the-art algorithms in a few areas of
 interest and some results. I will also spend some time discussing
 what I think are the current and future needs -- specifically to
 convey the challenges and the excitement that lies ahead.
