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UR #22: FeLoNet: Using Synthetic Training Data and a Convolutional Neural Network to Classify Quasar Spectra

18 Jul 2020, 16:37 UTC
UR #22: FeLoNet: Using Synthetic Training Data and a Convolutional Neural Network to Classify Quasar Spectra
(200 words excerpt, click title or image to see full post)

The undergrad research series is where we feature the research that you’re doing. If you’ve missed the previous installments, you can find them under the “Undergraduate Research” category here.Are you doing an REU this summer? Were you working on an astro research project during this past school year? If you, too, have been working on a project that you want to share, we want to hear from you! Think you’re up to the challenge of describing your research carefully and clearly to a broad audience, in only one paragraph? Then send us a summary of it!You can share what you’re doing by clicking here and using the form provided to submit a brief (fewer than 200 words) write-up of your work. The target audience is one familiar with astrophysics but not necessarily your specific subfield, so write clearly and try to avoid jargon. Feel free to also include either a visual regarding your research or else a photo of yourself.We look forward to hearing from you!************Collin Dabbieri University of OklahomaCollin Dabbieri is a recently graduated undergraduate student from the University of Oklahoma. This research was conducted with advisor Dr. Karen Leighly, with further advice from Dr. Gordon Richards. Collin will ...

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