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
A 3-minute rant on the "deluge of data" in astr...
Search
Geert Barentsen
December 08, 2014
Science
570
2
Share
A 3-minute rant on the "deluge of data" in astronomy
A rant presented at the sixth dot Astronomy conference, 8 December 2014, Chicago.
Geert Barentsen
December 08, 2014
More Decks by Geert Barentsen
See All by Geert Barentsen
A story about open science
barentsen
0
99
Kepler's Discoveries will Continue
barentsen
0
200
Kepler/K2 Status Update & New Software Tools
barentsen
0
290
Three reasons why Kepler's discoveries will continue for a decade
barentsen
2
250
The Kepler/K2 Supernova Cosmology Experiment
barentsen
1
130
How Sagan Fellows are shaping the success of NASA’s K2 Mission
barentsen
0
220
La misión Kepler de NASA
barentsen
0
99
How to find a planet?
barentsen
0
130
K2: Status and Future
barentsen
0
220
Other Decks in Science
See All in Science
AkarengaLT vol.41
hashimoto_kei
1
140
データベース05: SQL(2/3) 結合質問
trycycle
PRO
0
1.1k
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
440
フィードフォワードニューラルネットワークを用いた記号入出力制御系に対する制御器設計 / Controller Design for Augmented Systems with Symbolic Inputs and Outputs Using Feedforward Neural Network
konakalab
0
140
Kaggle: NeurIPS - Open Polymer Prediction 2025 コンペ 反省会
calpis10000
0
580
HajimetenoLT vol.17
hashimoto_kei
1
240
ハミルトン・ヤコビ方程式の解の性質と物理的意味
enakai00
0
570
次代のデータサイエンティストへ~スキルチェックリスト、タスクリスト更新~
datascientistsociety
PRO
3
42k
イロレーティングを活用した関東大学サッカーの定量的実力評価 / A quantitative performance evaluation of Kanto University Football Association using Elo rating
konakalab
0
270
機械学習 - SVM
trycycle
PRO
1
1.1k
白金鉱業Vol.21【初学者向け発表枠】身近な例から学ぶ数理最適化の基礎 / Learning the Basics of Mathematical Optimization Through Everyday Examples
brainpadpr
1
740
AIPシンポジウム 2025年度 成果報告会 「因果推論チーム」
sshimizu2006
3
520
Featured
See All Featured
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
300
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2k
Docker and Python
trallard
47
3.9k
Git: the NoSQL Database
bkeepers
PRO
432
67k
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
600
Abbi's Birthday
coloredviolet
2
7.9k
Art, The Web, and Tiny UX
lynnandtonic
304
22k
Agile Actions for Facilitating Distributed Teams - ADO2019
mkilby
0
200
It's Worth the Effort
3n
188
29k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
240
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.3k
Transcript
A 3-minute rant on the "deluge of data" in astronomy
by Geert Barentsen (@GeertHub) 1
11011010 10111011 01000110 01000011 00010011 10011001 00101100 00101111 10101110 10010000
11110110 01100100 10001011 01000111 10111111 11110000 01001110 10000110 01011111 01111110 11001000 10100000 10110111 11110111 11001000 11100100 00001110 01000100 00010001 01000111 00101011 01100101 10010110 01001100 11100110 01011101
Pixel rates of our largest optical surveys double every 41
months 3
CCD-based astronomy is limited by glass and atmosphere; it does
not track Moore’s law! 4
CPU transistor counts double every 23 months 5
Supercomputer FLOPS double every 13 months 6
Internet speeds double every 16 months 7
Disk drive storage doubles every 23 months 8
Storage bus speeds double every 35 months 9
2000 (SDSS) vs 2022 (LSST), if trends continue: • 81x
more pixels; • 190x faster I/O; • 2565x more storage; • 120 578x faster internet; • 1 202 277x faster supercomputers. 10
The increase in CCD data is vastly outstripped by the
deluge of computing power. (Not true for radio astronomy.) 11
Let’s ride the tsunami of computing power! Graphs and data
points are here: http://github.com/barentsen/tech-progress-data 12