Rahul Pandare

Rahul Pandare

He/Him

Ph.D., Noneq. Stat. Phys.

Building Particle Tracking Algorithm

less than 1 minute read

Published:

An exciting technique in data analysis, chi-squared minimization by convolution allows researchers to accurately identify the positions and sizes of particles in 2D. By comparing observed data with theoretical models and minimizing the difference, this approach offers a precise method for particle tracking and analysis.

Fun Fact: This very method has been employed by scientists to identify the number of observable galaxies in the universe! By applying similar techniques to astronomical data, researchers can detect galaxies by fitting their observed positions and sizes with models, unveiling the wonders of the cosmos.

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