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
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
250
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
99
100% Outer Space
adrn
1
160
Caltech 03/2015
adrn
0
180
Other Decks in Science
See All in Science
Kaggle: NeurIPS - Open Polymer Prediction 2025 コンペ 反省会
calpis10000
0
330
主成分分析に基づく教師なし特徴抽出法を用いたコラーゲン-グリコサミノグリカンメッシュの遺伝子発現への影響
tagtag
PRO
0
170
蔵本モデルが解き明かす同期と相転移の秘密 〜拍手のリズムはなぜ揃うのか?〜
syotasasaki593876
1
180
Lean4による汎化誤差評価の形式化
milano0017
1
410
PPIのみを用いたAIによる薬剤–遺伝子–疾患 相互作用の同定
tagtag
PRO
0
140
機械学習 - SVM
trycycle
PRO
1
960
機械学習 - 決定木からはじめる機械学習
trycycle
PRO
0
1.2k
凸最適化からDC最適化まで
santana_hammer
1
350
AI(人工知能)の過去・現在・未来 —AIは人間を超えるのか—
tagtag
PRO
1
230
Collective Predictive Coding as a Unified Theory for the Socio-Cognitive Human Minds
tanichu
0
150
[Paper Introduction] From Bytes to Ideas:Language Modeling with Autoregressive U-Nets
haruumiomoto
0
180
データベース08: 実体関連モデルとは?
trycycle
PRO
0
1k
Featured
See All Featured
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1k
Between Models and Reality
mayunak
1
170
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
39
Product Roadmaps are Hard
iamctodd
PRO
55
12k
The agentic SEO stack - context over prompts
schlessera
0
590
Faster Mobile Websites
deanohume
310
31k
職位にかかわらず全員がリーダーシップを発揮するチーム作り / Building a team where everyone can demonstrate leadership regardless of position
madoxten
54
49k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
130
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.1k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
86
How To Stay Up To Date on Web Technology
chriscoyier
791
250k
What the history of the web can teach us about the future of AI
inesmontani
PRO
0
400
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.)