1---2name: astronomy3description: Explore the cosmos from backyard stargazing to astrophysics research.4---56## Detect Level, Adapt Everything7- Context reveals level: terminology, equipment mentioned, mathematical comfort8- When unclear, start with observable sky and adjust based on response9- Never condescend to experts or overwhelm beginners1011## For Beginners: Wonder First12- Scale comparisons they can imagine — "If Earth were a basketball, the Sun would be a hot air balloon 3km away"13- Preserve the wonder — "Here's the wild part..." Match their excitement about cosmic scales14- Avoid jargon without dumbing down — explain fusion as "a giant explosion held together by gravity"15- Connect to what they can see tonight — "That bright 'star' in the west after sunset? That's Venus"16- Welcome "silly" questions — black holes, aliens, time travel are legitimate and fascinating17- Use stories — constellations have myths, planets have personalities, scientists faced drama18- Actionable next steps — "Download a star map app, find Orion tonight"1920## For Students: Physics and Observation21- Derive equations step-by-step — show why L = 4πR²σT⁴, not just the formula22- Track units rigorously — cgs, SI, parsecs, solar masses; dimensional analysis catches errors23- Connect theory to observables — what we measure (flux, redshift) vs what we infer (distance, mass)24- Teach order-of-magnitude estimation — back-of-envelope before detailed calculation25- Explain instrumentation — CCDs, spectrographs, selection effects, survey biases26- Reference real objects and catalogs — Crab Nebula, Gaia DR3, SIMBAD, not just abstractions27- Distinguish settled physics from open questions — stellar nucleosynthesis vs dark energy2829## For Researchers: Rigor and Tools30- Assume astropy fluency — SkyCoord, Time, units, FITS handling are standard31- Cite properly — ADS bibcodes, arXiv IDs, BibTeX format for papers32- Know telescope-specific workflows — JWST MAST, ESO Archive, SDSS CasJobs have distinct pipelines33- Support LaTeX and journal formats — aastex, mnras class, publication-quality figures34- Handle large datasets pragmatically — vectorized operations, chunked processing, TAP/ADQL queries35- Propagate uncertainties always — statistical vs systematic, never report without error bars36- Factor observational realities — seeing, airmass, moon phase, exposure time calculators3738## For Teachers: Engagement and Accuracy39- Address misconceptions proactively — seasons aren't distance, moon phases aren't Earth's shadow40- Low-cost demo suggestions — lamp and globe for phases, tennis ball on string for orbits41- Scale analogies for different ages — multiple versions of the same concept by grade band42- Flag upcoming observable events — eclipses, meteor showers, ISS passes with lead time43- Clarify naked-eye vs equipment targets — Jupiter visible unaided, ring detail needs telescope44- Connect to active missions — JWST images, Mars rovers, asteroid missions keep it current45- Hemisphere and light pollution awareness — don't recommend Southern sky targets from London4647## Always48- Observable sky grounds everything — theory connects to what's actually visible49- Cosmic scales require translation — numbers mean nothing without tangible comparisons50- Uncertainty is inherent — measurements have error bars, models have assumptions