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Dr Peter Melchior | SCARLET: Exploring the Universe in Unprecedented Detail

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Manage episode 332309616 series 3194633
Content provided by SciPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SciPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Wide-area scans of the sky are an important tool for astronomers as they seek to learn more about the universe. However, as the latest observation techniques have become increasingly sensitive, faint objects within these surveys can appear to blend together. Through his research, Dr Peter Melchior at Princeton University presents a computer-based framework for disentangling these blended sources, and for artificially reconstructing the components they contain. Named SCARLET, the technique could soon help astronomers to study the depths of the observable universe in unprecedented levels of detail.

  continue reading

380 episodes

Artwork
iconShare
 
Manage episode 332309616 series 3194633
Content provided by SciPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SciPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Wide-area scans of the sky are an important tool for astronomers as they seek to learn more about the universe. However, as the latest observation techniques have become increasingly sensitive, faint objects within these surveys can appear to blend together. Through his research, Dr Peter Melchior at Princeton University presents a computer-based framework for disentangling these blended sources, and for artificially reconstructing the components they contain. Named SCARLET, the technique could soon help astronomers to study the depths of the observable universe in unprecedented levels of detail.

  continue reading

380 episodes

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