Posts
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Generating citable paper names with a recurrent neural network
Disappointed that mine are not among the most cited papers in the area of stellar astrophysics, I thought I might use machine learning to identify more promising topics for future works that would be of greater value to the field. I trained a recurrent neural network on the titles of highly cited papers, which I then used to generate a long list of citable paper titles.
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Machine learning galaxy classification. I. Project description
This is the first in an eventual series of posts in which I will play with some simple machine learning tools to revisit an old project: assigning galaxy morphology classifications based on survey photometry. Today, I am just going to describe the project and its motivation.
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Inclination angles and a uniform distribution for isotropy
Here’s a little math problem that I’ve done enough times to warrant writing down somewhere: how can we most efficiently represent and randomly draw isotropic inclination angles? (spoiler: they’re uniform in \(\cos{i}\).)
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Nyquist analysis and the pyquist module
My collaborators and I recently published a paper in which we determined frequencies of stellar oscillations that were severely undersampled in time series data. That paper, Destroying Aliases from the Ground and Space: Super-Nyquist ZZ Cetis in K2 Long Cadence Data, thoroughly explores the ways that observational sampling affects the signatures of stellar pulsations, but I thought it might be useful to lay out some of the basic ideas and tools behind this type of analysis (including a python module: pyquist).
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Hello World
Heading into the new year, I’m finally striking off something that has been on the to-do list for a long time: setting up a personal blog space. I don’t anticipate that this will be a particularly active place or of general interest, but I hope that the content is occasionally of use to other researchers. This will host digital excerpts of my physical research journal, general results that weren’t easy to find on Google, answers to StackExchange questions that no one is asking. Snore.
Astronomy, statistics, programming in Python, data visualization, data science, and other great icebreakers.
- How data sampling affects the Fourier transform periodogram
- Three statistical tests for average spacing among numbers
- Confidence intervals for 2D Gaussian mixture models with contours
- What's the expected average value of a noisy amplitude spectrum?
- High-fidelity plot image representations for machine learning classification