Mason wins poster prize at DPF2019

Graduate student, Katie Mason, presented her work on her “Infill” convolutional neural network which proposes the values for pixels in the regions of LArTPC images with unresponsive wires.

Katie with her prize certificate.
Example of what her network does. (left) Example image with unresponsive wires, causing gaps to appear along tracks. (right) Output of the network which proposes pixel values in the unresponsive wire regions.

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