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I wrote code this weekend to look at the question of how we should visit a star in the upcoming Terra Hunting Experiment.
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Today my rant on LLMs and the practices of our field hit the arXiv.
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I spent the day at the NSBP / NSHP meeting in San José.
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Further insipired by yesterday's post about binary fitting, I worked today on the treatment of nuisance parameters that have known distributions.
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On Friday, Kareem El-Badry (Caltech) gave a seminar about looking for (and finding!)
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So imagine that you have a unique data set Y, and in that data set Y you measure a bunch of parameters θ by a bunch of different methods.
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I showed my robust spectral decomposition (dimensionality reduction) and residuals to the MPIA Binaries group today.
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My goal this year in Heidelberg is to move forward all writing projects.
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Over the last two weeks, I built a new robust dimensionality-reduction method called Robust-HMF.
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Dustin Lang (Perimeter) and I spoke today about many things, but the conversation got de-railed when Lang showed me his visualizations of the brand-new NASA SPHEREx data.
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Is it research to have a set of conversations about whether to write a book on data analysis?
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There is a very nice algorithm and set of methods called “Robust PCA,” originating in a paper by Candès.
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A nice talk at MPIA by Hanna Ũbler (MPE) about very high-redshift (redshifts 8 to 14 even) galaxies and their black-hole contents started some nice discussions in the audience and afterwards about the formation of black holes.
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Coherent oscillators—astronomical sources that pulse or oscillate in a phase-stable way over long timescales—have been useful astrophysical tools.
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There is an informal meeting at MPIA every Wednesday regarding binary stars, with a bit of a focus on massive binaries.
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Dimensionality reduction (the basic being PCA) is very sensitive to outliers: A single bad pixel can dominate most objectives and thus create a spurious dimension.
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In the Milky Way meeting at MPIA today, a bit of a discussion broke out about using stellar twins, inspired by work by Yuan-Sen Ting (OSU).
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I saw a very nice talk today by Philippine Griveaud (MPIA) about how the Solar System formed.
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In work on Galaxy dynamics, from stellar kinematics, we measure relative velocities and relative positions, of nearby stars relative to the Sun (or really the Solar System barycenter).
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Distant objects in the Universe look the same as nearby ones, in the sense that a redshift 8 quasar looks like a point source just the same as a nearby M dwarf star looks like a point source.
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In group meeting last week, Stefan Rankovic (NYU undergrad) presented results on a very low-amplitude possible transit in the lightcurve of a candidate long-period eclipsing binary system found in the NASA Kepler data.
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OMG I actually just submitted an actual paper, with me as first author.
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Today was day two of a meeting on generative AI in physics, hosted by MIT.
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Today was the first day of a two-day symposium on the impact of Generative AI in physics.
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At the end of the day I got a bit of quality time in with Danny Horta (Flatiron) and Adrian Price-Whelan (Flatiron), who have just (actually just before I met with them) created a new implementation of The Cannon (the data-driven model of stellar photosph…