Extracting Interesting Data from Massive Scientific Datasets (IMAGE)

DOE/Lawrence Berkeley National Laboratory

Extracting Interesting Data from Massive Scientific Datasets

Caption

After querying a dataset of 114,875,956,837 particles for those with energy values less than 1.5, FastQuery identifies 57,740,614 particles, which are mapped on this plot.

Credit

Image by Oliver Rubel, Berkeley Lab.

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