Data Visualization
One project I’m passionate about within science is data visualization. Beyond the importance of making good plots, in neutrino physics the data typcially comes segmented into ‘events’ - a single readout of the detector. These ‘event’ objects really just consist of all the data from the detector within a brief period where something interested happened.
For me, having a way to visualize and interact with single events of data is a crucial and mandatory part of an experimental project in physics. To that end, I’ve developed a suite of visualization tools based on PyQt for window management and pyqtgraph for fast, dynamic interactions with data. Despite starting as a little side project, this has taken a life of it’s own as my visualization tools have spread to five different projects, and images made with my software have been popping up across a number of places.
For example, all of the data visualizations on the Deep Learn Physics website are made with my visualization software (source code here), as well the images on the Microboone homepage (source).