Researches the Milky Way & star clusters with machine learning
Founded the Astronomy feeds (@astronomy.blue)
🏳️🌈 🏳️⚧️ (she/her), Ⓥ
Website: https://emily.space
GitHub: https://github.com/emilyhunt
- some survey data
- conducted by economics profs (not: social scientists)
- does some batshit stats to reach any conclusion at all
- finds a tiny 0.4%-2.5% work time improvement!
... that's about as effective a productivity intervention as doing yoga once a week to sleep better
- some survey data
- conducted by economics profs (not: social scientists)
- does some batshit stats to reach any conclusion at all
- finds a tiny 0.4%-2.5% work time improvement!
... that's about as effective a productivity intervention as doing yoga once a week to sleep better
These wild assertions made me think, hmmm surely you're going to put some effort into citing those
These wild assertions made me think, hmmm surely you're going to put some effort into citing those
Because the final model is just a simple logistic on 3 params, the model parameters are interpretable, like n_50 - the median number of stars a cluster needs to be detectable
Because the final model is just a simple logistic on 3 params, the model parameters are interpretable, like n_50 - the median number of stars a cluster needs to be detectable
I got that down to just three (!!!) by using SHAP to say which were important, & PySR/symbolic regression to build intuition about models
I got that down to just three (!!!) by using SHAP to say which were important, & PySR/symbolic regression to build intuition about models
no: i am not ashamed of the acronym
no: i am not ashamed of the acronym
Even simple things (like a cluster's orbit) can cause a *major* boost to cluster detectability, biasing results not corrected for selection effects in *big* ways.
Even simple things (like a cluster's orbit) can cause a *major* boost to cluster detectability, biasing results not corrected for selection effects in *big* ways.
Complete with an accompanying Python package and open-source models+data!
Complete with an accompanying Python package and open-source models+data!
One thing that caught my eye was this work led by Tobin Wainer analyzing FIRE simulations, measuring the dependence of embedded gas density on age & stellar mass - really cool! 🔭☄️
One thing that caught my eye was this work led by Tobin Wainer analyzing FIRE simulations, measuring the dependence of embedded gas density on age & stellar mass - really cool! 🔭☄️
It's really cool to see astro conferences using Bluesky! #stellarorigins2025 🔭☄️
It's really cool to see astro conferences using Bluesky! #stellarorigins2025 🔭☄️
I think this is the first direct evidence of a sparse cluster being disrupted by a GMC since Spitzer proposed GMCs as a disruption mechanism in 1958 🤯
🔭☄️🧪 #galactic
I think this is the first direct evidence of a sparse cluster being disrupted by a GMC since Spitzer proposed GMCs as a disruption mechanism in 1958 🤯
🔭☄️🧪 #galactic
In a new paper by Sebastian Ratzenböck at the CfA / @univie.ac.at, we looked into streams near to the Sun, and found that the Milky Way's disk is *full* of streams! 🔭☄️🧪 #galactic
In a new paper by Sebastian Ratzenböck at the CfA / @univie.ac.at, we looked into streams near to the Sun, and found that the Milky Way's disk is *full* of streams! 🔭☄️🧪 #galactic
A groundbreaking new paper by Martin Piecka et al. at @univie.ac.at presents the first *ever* direct measurement of the proper motion of the ISM! 🔭☄️🧪 #galactic
A groundbreaking new paper by Martin Piecka et al. at @univie.ac.at presents the first *ever* direct measurement of the proper motion of the ISM! 🔭☄️🧪 #galactic
I really want to make something eye-catching that's not just the normal black-text-on-white-background, so I turned the entire background into the main figure
still needs layout, text, & figure work, but basic concept:
I really want to make something eye-catching that's not just the normal black-text-on-white-background, so I turned the entire background into the main figure
still needs layout, text, & figure work, but basic concept: