gully

@gully.bsky.social

interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.

Very cool paper! Maps out the starspots in exquisite detail, among the best constraints on spot physical properties anywhere. Exoplanets make great scanning reticles for stellar surface features, in addition to their other virtues.

Brett Morris@brettmorr.is · 3mo ago

BEHEMOTH of a planet + starspot paper led by @matthewsplanet.bsky.social and @afeinstein20.bsky.social. 🧪🔭 #stellarastro Murphy uses JWST observations of 20 Myr old sun-like star V1298 Tau and its planets to map the stellar surface and its effects on planet measurements. 😍 arxiv.org/abs/2606.16782

I think astronomers are particularly effective at the use (and acceptance) of pathological scenarios for the purpose of illustration and education. We don’t mind conjuring impossibly weird planets as what-if scenarios. I sense that other fields can view pathological examples as distracting.

A free, cool idea I was excited about at Kepler/K2: There exists a transformation to make nonstationary stellar variability into stationary. Deep Kernel Learning was the fad at the time, but I’m not sure anyone ever pulled this off successfully. The hope was to make a physics based transformation

I just stopped by UT Austin to return some long lost inventory, and was delighted to see so many familiar faces and hear about the great work going on! 🔭 🪐 my grad school instrumentation memos are actively being used—surreal!

China 5 year plan includes “Aim to double non-fossil energy in 10 years”, already plateauing emissions ☀️💨⚡️🔋⚛️🌋

New planet detection technique: Look for stars that disappear entirely (black holes in interior, cf Bellinger) then look for light echo plateaus from the reflected light of planets. Apparently ~100 M dwarfs have disappeared consistent with this mechanism. You’d have a few light minutes of signal.

Currently reading the Project Hail Mary book and there’s a ton of astrophysics in it—no spoilers but early on there’s infrared spectroscopy, ALMA, and more. Curious to hear what other astronomers think!

Neat work on precision PSF modeling of Gaia! Little known fact: we captured Kepler driftscan PSFs during downtime in the K2 mission. PSF modeling is great boon for low SNR science, extended objects, etc.

Emily Hunt@emily.space · 6mo ago

Interesting paper out today discussing improvements in the point spread function model of @esa.int's Gaia satellite in preparation for Gaia DR4. Every time that I read about this instrument I am blown away by how technical and complicated its data is to process ☄️ #galactic #astromethods

I still feel like differentiable models are under appreciated, it’s like a magic super power for interpretability and extensibility. Maybe LLM-assisted coding can bring autodiff to more science teams? Still a mental leap to adoption.