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FarZenith small v1
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"""Caveat codes an engine can attach to a result, and the sentence each one stands for."""
NOTES: dict[str, str] = {
"main_sequence_approximation": (
"These values use simple main-sequence scaling laws, so real stars can differ noticeably."
),
"extrapolated_mass_range": (
"This mass is outside the range where the scaling laws are calibrated, so the numbers are rough extrapolations."
),
"hubble_law_approx": (
"At this redshift the simple linear Hubble law is only an approximation; the distance comes from the full expansion history."
),
"relativistic_regime": (
"Speeds or gravity here are strong enough that relativity matters, so Newtonian intuition breaks down."
),
"high_eccentricity": (
"This orbit is very stretched, so the distance and speed change dramatically over each orbit."
),
"newtonian_approximation": (
"This uses Newtonian gravity, which is an excellent approximation here but ignores relativistic corrections."
),
"geostationary": (
"This is a geostationary orbit: the satellite turns with Earth, so it hovers over one spot on the equator."
),
"atmospheric_drag": (
"At this height Earth's thin upper atmosphere causes drag that slowly lowers the orbit, so it needs occasional boosts."
),
"circular_orbit_approx": "This assumes a circular orbit around a perfectly round body.",
"falchi_2015_baseline": (
"Sky darkness comes from the world atlas of light pollution, built from satellite data taken several years ago, so newer lighting is not included."
),
"viirs_blind_to_blue": (
"The VIIRS satellite misses much of the blue light from white LEDs, so real growth in light pollution may be larger."
),
"moon_and_weather": (
"Moonlight and cloud matter as much as location; plan for a moonless, clear night."
),
"low_radiance_noise": (
"The night-light level here is very low, so the percentage change is noisy and should not be over-interpreted."
),
}