PIRSA:14110111

Synthetic Data

APA

Fish, V. (2014). Synthetic Data. Perimeter Institute. https://pirsa.org/14110111

MLA

Fish, Vincent. Synthetic Data. Perimeter Institute, Nov. 14, 2014, https://pirsa.org/14110111

BibTex

          @misc{ pirsa_PIRSA:14110111,
            doi = {10.48660/14110111},
            url = {https://pirsa.org/14110111},
            author = {Fish, Vincent},
            keywords = {Strong Gravity},
            language = {en},
            title = {Synthetic Data},
            publisher = {Perimeter Institute},
            year = {2014},
            month = {nov},
            note = {PIRSA:14110111 see, \url{https://pirsa.org}}
          }
          

Vincent Fish Massachusetts Institute of Technology (MIT)

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Talk Type Conference
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Abstract

You've just finished running your code, and you're certain that you (and only you) know exactly what the region around a supermassive black hole looks like. You could lie back and wait for the accolades to roll in, but why not take an extra moment to make testable predictions that even the observers can understand? Synthetic data can help.