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
Real-time meteoroid fluxes from video data
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Geert Barentsen
August 24, 2013
Science
170
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Real-time meteoroid fluxes from video data
Talk presented at the International Meteor Conference 2013 in Poznan, Poland.
Geert Barentsen
August 24, 2013
More Decks by Geert Barentsen
See All by Geert Barentsen
A story about open science
barentsen
0
100
Kepler's Discoveries will Continue
barentsen
0
210
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
230
Other Decks in Science
See All in Science
不動産業界における業界特化のデータ整備とAI活用 ─Vertical DataとVertical AI─
estie
1
610
データベース03: 関係データモデル
trycycle
PRO
1
550
チュートリアル:世界モデル
hf149
0
1.7k
機械学習 - 授業概要
trycycle
PRO
0
530
Non-Gaussian, nonlinear causal discovery with hidden variables and application
sshimizu2006
0
140
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
270
[NLP2026 参加報告会] AI for Science まとめ / NLP2026
lychee1223
0
1.9k
(CVPR2026) Back to Basics: Let Denoising Generative Models Denoise
shumpei777
0
140
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
1.7k
共生概念の整理と AIアライメントの構想
hiroakihamada
0
220
HDC tutorial
michielstock
2
710
アクシズを探せ! 各勢力の位置関係についての考察
miu_crescent
PRO
1
370
Featured
See All Featured
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
0
410
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.4k
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
1
330
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
The Art of Programming - Codeland 2020
erikaheidi
57
14k
GraphQLとの向き合い方2022年版
quramy
50
15k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2k
Building the Perfect Custom Keyboard
takai
2
790
How to train your dragon (web standard)
notwaldorf
97
6.7k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
201
75k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
The Mindset for Success: Future Career Progression
greggifford
PRO
0
360
Transcript
Real-time meteoroid fluxes from video data A talk by Geert
Barentsen for the International Meteor Conference 2013
Hello. I’m Geert Barentsen @GeertMcTwit www.geert.io github.com/barentsen
I do galactic astronomy during daytime The
I do meteors during nighttime I
Visual observations are awesome.
Because human eyes are sensitive.
~1 mag deeper ~3x larger field (100°) (Ignoring caveats) One
human is worth about six cameras.
And human eyes are everywhere.
Perseids 2013 visual data
Visible light observations of meteor rates are useful.
Landsat 5 got hit (probably) Perseids 2009 WTF?! WTF?! WTF?!
But not all showers are observed well.
Leonids 2012 20 Nov 2012, 6 UT: counted 33 Leonids
in 1 hour fluke or not?
How many minor outbursts are being missed?
Possibly a lot. Draconids 2012 only visible here
Does it matter?
YES. Because outbursts constrain models.
OK. Now that we agree. How do we fix this?
Super Sirko to the rescue In 2011, MetRec started estimating
fluxes.
MetRec estimates the Effective Collection Area (ECA) Area corrected for
direction, extinction and limiting magnitude. (cf. Molau 2011) flux(mag < 6.5) = #meteors / ECA [km-2 h-1]
Draconids 2011 Made available in real-time at http://imonet.org (Koschack
Every clear minute, MetRec produces a flux record. { ‘time’:
‘2013-08-21 03:42’, ‘station’: ‘MINCAM1’, ‘shower’: ‘PER’, ‘eca’: 3.18, ‘met’: 3, ‘mag’: [2, -1, 3], ‘lm’: 4.2, ... }
meteorflux.io HTTP GET API API HTTP POST Flux
http://meteorflux.io
Perseids 2011-2013 (averaged)
Lyrids 2011-2013
Quadrantids 2012-2013
eta-Aquariids 2011-2013 WTF?!
Leonids 2011-2012 WTF?!
Orionids 2011-2012 (averaged) WTF?!
Northern Taurids 2011-2012 (averaged) WTF?! WTF?! Likely
Antihelion 2012 WTF?! WTF?!
Draconids 2012 No
Alexandr Maidik (Ukraine) 55 Draconids (16h00-18h00 UT) peak at ~16h50
Jakub Koukal (Czech Republic) 60 Draconids (17h00-19h10 UT) peak at ~17h05 Draconids 2012 visual observations
Visual observations are still awesome. ... let’s add them to
the tool.
https://github.com/barentsen/meteor-flux Code is open under MIT license. Anyone wants to
join?
Next steps: ... include mass index; ... understand systematics (moon,
clouds); ... switch on real-time reporting in MetRec.
Thanks Poznyan.