Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
My research talk for CCA promotion
Search
Dan Foreman-Mackey
February 03, 2022
Science
1
740
My research talk for CCA promotion
A summary of what I've been up to for the past few years and where my research program is going.
Dan Foreman-Mackey
February 03, 2022
Tweet
Share
More Decks by Dan Foreman-Mackey
See All by Dan Foreman-Mackey
Open software for Astronomical Data Analysis
dfm
0
110
Open Software for Astrophysics, AAS241
dfm
2
460
Astronomical software
dfm
1
690
emcee-odi
dfm
1
600
Exoplanet population inference: a tutorial
dfm
3
420
Data-driven discovery in the astronomical time domain
dfm
6
680
TensorFlow for astronomers
dfm
6
730
How to find a transiting exoplanets
dfm
1
440
Long-period transiting exoplanets
dfm
1
290
Other Decks in Science
See All in Science
創薬における機械学習技術について
kanojikajino
13
4.4k
プロダクト開発を通して学んだナレッジマネジメントの哲学
sonod
0
150
[第62回 CV勉強会@関東] Long-CLIP: Unlocking the Long-Text Capability of CLIP / kantoCV 62th ECCV 2024
lychee1223
1
670
ベイズのはなし
techmathproject
0
290
Improving Search @scale with efficient query experimentation @BerlinBuzzwords 2024
searchhub
0
240
Online Feedback Optimization
floriandoerfler
0
310
LIMEを用いた判断根拠の可視化
kentaitakura
0
340
Iniciativas independentes de divulgação científica: o caso do Movimento #CiteMulheresNegras
taisso
0
240
いまAI組織が求める企画開発エンジニアとは?
roadroller
2
1.3k
解説!データ基盤の進化を後押しする手順とタイミング
shomaekawa
1
340
AI科学の何が“哲学”の問題になるのか ~問いマッピングの試み~
rmaruy
1
2.3k
作業領域内の障害物を回避可能なバイナリマニピュレータの設計 / Design of binary manipulator avoiding obstacles in workspace
konakalab
0
160
Featured
See All Featured
Docker and Python
trallard
40
3.1k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
109
49k
Designing on Purpose - Digital PM Summit 2013
jponch
115
7k
Statistics for Hackers
jakevdp
796
220k
Code Review Best Practice
trishagee
64
17k
Adopting Sorbet at Scale
ufuk
73
9.1k
A Modern Web Designer's Workflow
chriscoyier
693
190k
Typedesign – Prime Four
hannesfritz
40
2.4k
Stop Working from a Prison Cell
hatefulcrawdad
267
20k
Fontdeck: Realign not Redesign
paulrobertlloyd
82
5.2k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
4
370
Rails Girls Zürich Keynote
gr2m
94
13k
Transcript
BUILDING THE SOFTWARE INFRASTRUCTURE FOR ASTROPHYSICS by Dan Foreman-Mackey
who am I? / / what’ve I been up to?
1
7 [1] solving Hard™ data analysis problems [2] enabling and
empowering astrophysicists
implementation.
data = > physics
open source software for astrophysics 2
why?
credit: Adrian Price-Whelan / / data: SAO/NASA ADS
my open source contributions 3
None
gaussian processes 4
p(data|physics)
data ~ N(model; noise)
°0.6 °0.3 0.0 0.3 0.6 raw [ppt] 0 5 10
15 20 25 time [days] °0.30 °0.15 0.00 de-trended [ppt] N = 1000 reference: DFM+ (2017)
°0.6 °0.3 0.0 0.3 0.6 raw [ppt] 0 5 10
15 20 25 time [days] °0.30 °0.15 0.00 de-trended [ppt] N = 1000 reference: DFM+ (2017)
data ~ N(model; noise)
data ~ N(model; noise)
so. why not?
data ~ N(model; noise)
None
reference: Ambikasaran, DFM+ (2015)
None
reference: Ambikasaran, DFM+ (2015)
reference: DFM, Agol, Ambikasaran, Angus (2017); DFM (2018); DFM, Luger,
et al. (2021)
None
reference: Gordon, Agol, DFM (2020)
what’s next?
None
None
None
credit: Quang Tran
reference: Luger, DFM, Hedges (2021)
probabilistic inference 5
p(data|physics)
have: physics = > data
want: data = > physics
integral of the form f(physics) p(physics|data) dphysics
None
number of parameters patience required a few tenish not outrageously
many reference: DFM (priv. comm.)
number of parameters patience required emcee a few tenish not
outrageously many reference: DFM (priv. comm.)
number of parameters patience required emcee a few tenish not
outrageously many how things should be reference: DFM (priv. comm.)
None
None
None
None
gradients!
dp(data|physics) / dphysics
automatic differentiation aka “backpropagation”
your model is just code
apply the chain rule
apply the chain rule over and over again . .
.
sounds silly?
it's not! (mostly)
None
None
what’s next?
None
jax.readthedocs.io
my approach to open source 6
None
[1] don’t underestimate users [2] build libraries, not (just) scripts
[3] teach by example
None
None
None
bringing open source practices to research more generally
None
None
None
None
what’s next? 7
7 [1] inference with stochastic or intractable models [2] what
can we do to better support open source in astrophysics
7
7 credit: Adrian Price-Whelan
many fundamental software packages have a shockingly small number of
maintainers.
a selection of some* CCA-supported software: * my apologies for
neglecting your favorites!
None
BUILDING THE SOFTWARE INFRASTRUCTURE FOR ASTROPHYSICS @ CCA