When Antarctica Just Isn’t Cold Enough: South Pole Telescope (SPT) Fridge Cycle

As you might have heard on my website, my newsletter, my Twitter, or, if we’re colleagues at Caltech, at work, I am currently working on the South Pole Telescope (SPT) onsite at the South Pole in Antarctica for January-November 2016 (I am employed by the University of Chicago). I have taken a sabbatical from my NSF Astronomy […]

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Higgs Boson

Yesterday was a  big day for physics. A new particle was discovered, a boson, at the energy 126GeV, with every indication it is probably the much sought after Higgs.

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Previous Post

Originally posted on In the Dark:
One of the challenges we cosmologists face is how to quantify the patterns we see in galaxy redshift surveys. In the relatively recent past the small size of the available data sets meant that only relatively crude descriptors could be used; anything sophisticated would be rendered useless by noise.…

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Dynamic Bayesian Combination of Multiple Imperfect Classifiers

Using the new Voxcharta.org system, I was the only physicist at my institute to upvote this paper, Dynamic Bayesian Combination of Multiple Imperfect Classifiers (pdf), more in the realm of machine learning or computer science than traditional astrophysics or astronomy. As such I was nominated to discuss it at our weekly journal club. Here I give a brief review of concepts needed to follow the paper, and then go in depth into how we can use the opinions of multiple lay people as to whether an object is a supernova or not to achieve a highly accurate classification at the expert level.

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