Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
SMHASH telecon 03/2015
Search
Adrian Price-Whelan
March 11, 2015
Science
0
100
SMHASH telecon 03/2015
Adrian Price-Whelan
March 11, 2015
Tweet
Share
More Decks by Adrian Price-Whelan
See All by Adrian Price-Whelan
the Astropy project - Flatware
adrn
1
240
the dynamic Milky Way in the Gaia era
adrn
1
210
The Astropy Project
adrn
1
120
Git and version control
adrn
1
120
Chaos and stellar streams
adrn
1
180
Software testing
adrn
0
210
Local Group Astrostatistics
adrn
1
94
100% Outer Space
adrn
1
160
Caltech 03/2015
adrn
0
180
Other Decks in Science
See All in Science
なぜ21は素因数分解されないのか? - Shorのアルゴリズムの現在と壁
daimurat
0
210
データベース08: 実体関連モデルとは?
trycycle
PRO
0
1k
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
0
160
AIに仕事を奪われる 最初の医師たちへ
ikora128
0
1k
会社でMLモデルを作るとは @電気通信大学 データアントレプレナーフェロープログラム
yuto16
1
430
風の力で振れ幅が大きくなる振り子!? 〜タコマナローズ橋はなぜ落ちたのか〜
syotasasaki593876
1
160
Rashomon at the Sound: Reconstructing all possible paleoearthquake histories in the Puget Lowland through topological search
cossatot
0
170
知能とはなにかーヒトとAIのあいだー
tagtag
0
160
Agent開発フレームワークのOverviewとW&B Weaveとのインテグレーション
siyoo
0
390
コンピュータビジョンによるロボットの視覚と判断:宇宙空間での適応と課題
hf149
1
450
AI(人工知能)の過去・現在・未来 —AIは人間を超えるのか—
tagtag
1
210
2025-06-11-ai_belgium
sofievl
1
210
Featured
See All Featured
GitHub's CSS Performance
jonrohan
1032
470k
The World Runs on Bad Software
bkeepers
PRO
72
12k
Music & Morning Musume
bryan
46
7k
Become a Pro
speakerdeck
PRO
31
5.7k
Why Our Code Smells
bkeepers
PRO
340
57k
Facilitating Awesome Meetings
lara
57
6.7k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.6k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Transcript
Rewinder adrian price-whelan
Tidal disruption is simple
t = 0 Price-Whelan et al. (2014) Rewinder
Rewinder Price-Whelan et al. (2014) t = -1 evaluate likelihood
Rewinder Price-Whelan et al. (2014) t = -2 evaluate likelihood
Rewinder Price-Whelan et al. (2014) t = -3
⌧ub K unbinding time leading/trailing tail M mass today any
parametrization per star progenitor potential (l, b, d, µl, µb, vr) (l, b, d, µl, µb, vr) marginalize out WE’RE HOSED Rewinder Price-Whelan et al. (2014)
−100 −50 0 50 X [kpc] −100 −50 0 X
[kpc] x “Data”: Price-Whelan et al. (2014) 8 “RR Lyrae” stars Gaia velocity errors 2% distance errors + Progenitor, same errors
8 RR Lyrae stars Gaia velocity errors 2% distance error
Price-Whelan et al. (2014)
Price-Whelan et al. (2014) 8 RR Lyrae stars 2% distance
errors No proper motions
Price-Whelan et al. (2014) Recover unobserved proper motion for stars
Nparams / 6Nstars Good: Bad: - test particle orbits (no
N-body) - arbitrary potentials - observational uncertainties / missing data - less sensitive to observational biases
Next Marginalize true phase-space positions of the stars Marginal likelihood
has fixed dimensionality set by potential params., progenitor params Price-Whelan et al. (in prep.)