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
I don't even think this work doesn't have a use (someone should do it I guess), but this paragraph is really something
I don't even think this work doesn't have a use (someone should do it I guess), but this paragraph is really something
Yes, I have also included modelling of the expected temperature on the day
Yes, I did this by fitting a Bayesian model to 45 years of temperature data
Yes, the wedding website has an easter egg with a little link to find a writeup of how I got the numbers
Yes, I have also included modelling of the expected temperature on the day
Yes, I did this by fitting a Bayesian model to 45 years of temperature data
Yes, the wedding website has an easter egg with a little link to find a writeup of how I got the numbers
☄️ #astrocode
☄️ #astrocode
This was it just after construction (with fewer trees)
This was it just after construction (with fewer trees)
- 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.