Paper Explainer: Inferring the Morphology of the Galactic Center Excess with Gaussian Processes

Paper Explainer: Inferring the Morphology of the Galactic Center Excess with Gaussian Processes

This is a paper I wrote with Tracy Slatyer at MIT, her student Yitian Sun (now a postdoc in McGill), Sidd Mishra-Sharma (previously a postdoc at IAIFI, newly hired as a professor at Boston University), and my student Ed Ramirez. I think it is fair to say Ed did the majority of the analysis and coding on this (quite extensive) project, and was instrumental to the project from beginning to end..

This paper is a contribution to a long-running debate within the fields of particle physics and astrophysics, so it is fairly technical in parts, but the debate itself is very interesting and — I think — very important for the field of dark matter.

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Paper Explainer: Via Machinae

Paper Explainer: Via Machinae

This is an explainer for my most [recent paper][1], with my Rutgers colleague David Shih, Lina Necib at Caltech, and UCSC grad student (and a Rutgers undergrad alum) John Tamanas. It’s a project that we’ve been working on for a while (some of this being for obvious, 2020-related reasons), and I’m very happy to finally have it see the light of day, as it’s a really interesting convergence of a number of my interests in dark matter-motivated astrophysics, big data, and machine learning.

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