Episode 597: Q&A 108: Why Are There Meteor Showers Every Year? And More, Featuring Paul Geithner from JWST
In this week's questions show, I explain why we can see meteor showers every year, why we're not 3D printing telescopes in space, why there aren't any plans to launch telescopes with SpaceX Starship. And a lengthy answer to one of the most common James Webb questions we get: can it be refueled? This was answered by Paul Geithner, a Deputy Project Manager for James Webb during a recent livestream.
01:00 Why do we see meteor showers every year?
02:49 Why not also use 3D printing for space telescopes?
04:40 Why don't they design telescopes for Starship?
07:20 Could there be a privately backed telescope?
09:54 Is there glass on the Moon to build telescopes?
11:46 Could ISS help build new space telescopes?
13:47 Space telescopes on the far side of the Moon?
15:06 Is Andromeda actually much closer?
16:27 Why spend money on science?
19:20 Why is the dark side of the Moon illuminated?
21:34 Can James Webb be refueled?
Watch the full livestream here:
https://www.youtube.com/watch?v=iX0iCqCTKzE
Want to be part of the questions show? Ask a short question on any video on my channel. I gather a bunch up each week, and answer them here.
Our Book is out!
https://www.amazon.com/Universe-Today-Ultimate-Viewing-Cosmos/dp/1624145442/
Audio Podcast version:
ITunes: https://itunes.apple.com/us/podcast/universe-today-guide-to-space-audio/id794058155?mt=2
RSS: https://www.universetoday.com/audio
What Fraser's Watching Playlist:
https://www.youtube.com/playlist?list=PLbJ42wpShvmkjd428BcHcCEVWOjv7cJ1G
Weekly email newsletter:
https://www.universetoday.com/newsletter
Weekly Space Hangout:
https://www.youtube.com/channel/UC0-KklSGlCiJDwOPdR2EUcg/
Astronomy Cast:
https://www.youtube.com/channel/UCUHI67dh9jEO2rvK--MdCSg
Support us at: https://www.patreon.com/universetoday
More stories at: https://www.universetoday.com/
Twitch: https://twitch.tv/fcain
Follow us on Twitter: @universetoday
Like us on Facebook: https://www.facebook.com/universetoday
Instagram - https://instagram.com/universetoday
Team: Fraser Cain - @fcain / frasercain@gmail.com
Karla Thompson - @karlaii / https://www.youtube.com/channel/UCEItkORQYd4Wf0TpgYI_1fw
Chad Weber - weber.chad@gmail.com
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Memorable statements and important claims with attribution and source context.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.