Improving BAHAMAS: Reducing Selection Effects Bias in Bayesian Hierarchical Supernova Cosmological Inference
In a Tortoiseshell: In this excerpt from his Junior Paper on supernova detection, T. Lukas Mäkinen uses key terms to effectively scaffold his discussion of a new technique for minimizing biases in samples of detected supernovae. By maintaining a clear focus and providing a sequence of consistent and well-defined key terms, Lukas provides the reader with a framework through which to understand the technical contents of his paper, allowing even a lay reader to finish the paper with a strong impression of Lukas’s work and its significance.