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Commits
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efa9e4084a |
Draw the whole catalogue, and build the aggregation the rest would need
Two things, one verified and one that cannot be. The render budget is now the whole catalogue: 68388 stars, one instanced draw call, which is what a GPU should be asked to do. The budget itself stays, because the catalogue is meant to grow past what any machine should draw at once — Gaia alone could contribute a million — and at that point the selection is what keeps the field legible rather than a grey wash. A `?stars=` override handles the machines that cannot, including the software rasterizer the end-to-end suite runs against, whose frame rate is two orders of magnitude below a real GPU's and which was measuring the rasterizer rather than the app. The aggregation is the second thing, and none of it has run. Every ESA, NOIRLab, SDSS and Euclid endpoint is unreachable from here — only GitHub raw is, which is why HYG and OpenNGC are the current sources. So this is infrastructure and a Gaia query written against the published DR3 schema, not data. What the framework encodes is that these surveys are not interchangeable. The distinction is not size but whether a catalogue knows how far away its objects are, because a 3D map cannot place a star it only has a direction for. Gaia is the only one of the five that can add stars here, because it is the only one that measures parallaxes. DECaPS2 has fifty times Gaia's object count and photometry alone — not one of its 3.32 billion objects can be placed in depth. Euclid's bulge is 8 kpc away, where a parallax is microarcseconds; its contribution would be imagery. SDSS-V and SAGA are keyed to stars something else already places, so they enrich rather than extend. Those roles are recorded as data the ETL prints, not as prose that can drift. Overlapping catalogues are reconciled on direction rather than on 3D proximity, which is the one non-obvious part. Two surveys agree on a star's direction to within an arcsecond and disagree on its distance by tens of per cent, so a star at 200 pc is 50 pc from itself between catalogues while being unmistakably the same object. Matching in 3D would need a tolerance so loose it swallowed real neighbours. The better parallax wins where both reach; where only one does, the star stays. Names become dense-with-holes with a source dictionary, because a survey catalogue has no proper names — writing "Gaia DR3 4472832130942575872" once per star would cost 25 MB per million to repeat what two adjacent fields already say. An empty entry costs three bytes and is regenerated on load. The Sun needed its own case in the merge: it sits at the origin, has no direction to compare, and appears in every catalogue. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WaySiNst4HhDXBHnMy8p5G |
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29fd92d118 |
Widen the star catalogue, and separate what is drawn from what is known
The map held 8750 stars within 50 pc and rendered 371 systems. Both were lower than they needed to be, for different reasons. The star catalogue was capped by its own encoding as much as by the cutoff: one JSON object per star, eight key names repeated each time, 157 bytes a star. At the range HYG actually reaches that is 17 MB to download and parse before the first frame. So the numbers move into two binary column stores — positions in stars.bin, which the GPU is handed verbatim, and id/magnitude/colour/spectral index in stars-meta.bin — and the JSON keeps only the strings, with 2600 distinct spectral classifications collapsed to a dictionary. The layout is defined once, in star-catalog.ts, and the ETL and the app both use it, so the writer and the reader cannot drift. The cutoff then goes to 250 pc: 68388 stars, 7.8x as many for 1.7x the bytes. That is where HYG's measurements stop rather than a round number — 98.6% of its rows are Hipparcos, whose parallaxes are good to about a milliarcsecond, so beyond 250 pc it would be plotting noise. Drawing all of them is a separate question from knowing them, and it is answered separately. The field draws a budget: every star inside 25 pc, because the nearest are faint red dwarfs and Proxima Centauri is magnitude 11, then the brightest of everything beyond. Search, navigation and the planet cross-reference still see the whole catalogue. A real GPU would draw all 68388 without noticing; the budget is for the machines that would not, and it is one constant. Systems were limited by something else entirely. The archive data already shipped named 4735 host stars and only 388 resolved, because the rest lay outside a 50 pc catalogue — and the cross-reference kept only its own result, so redoing it meant re-downloading an archive that is not reachable from here. Host coordinates are now stored with each planet, and the match is re-resolved at build time against whatever catalogue the run produced. Even name matching alone, which needs no coordinates and so works on the records already shipped, rescues 335 planets across 238 systems: 371 renderable systems become 609. Two selection rules were tuned for a 50 pc bubble and no longer fit. Tethers followed the Sun's nearest neighbours, which are a speck at this range, and now follow the brightest; labels were ranked by proximity, which named whatever sat nearest the middle of the screen, and are now ranked by brightness — so the view names Canopus, Achernar and Spica rather than a clump of catalogue designations. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WaySiNst4HhDXBHnMy8p5G |
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8d8c65bdb2 |
Propagate exoplanets with their real orbital period
Every exoplanet was propagated with gmForParent(undefined) — the Sun's gravitational parameter — so the whole catalogue orbited as though each host were exactly one solar mass. Most hosts are red dwarfs far lighter than that, and a heavier central mass pulls harder and shortens the period, so their planets were whirling round much too fast: TRAPPIST-1 is 0.09 solar masses, and its planets were completing an orbit in roughly a third of the true time. pl_orbper was already in the TAP query and was being discarded on the way into the record. It is now kept, along with st_mass. A period and a semi-major axis together pin the host's gravitational parameter exactly, via GM = n^2 a^3 — no stellar model, no assumption, just the inverse of the orbitalPeriodDays helper that was already there. resolveGravitationalParameter picks the best available source: the measured period, else the published host mass, else one solar mass as before. A derived value implying something outside 0.01-150 solar masses is rejected and falls through, since a period and axis taken from disagreeing solutions would otherwise send a planet spinning at a visibly absurd rate. Note the direction of the error, which is the opposite of what it looks like: assuming a *heavier* host than reality makes a planet orbit *faster*. A test pins it, and caught me stating it backwards first. The NASA Exoplanet Archive is unreachable from this environment (egress policy returns 403 on CONNECT), so exoplanets.json cannot be regenerated here and still carries no periods. Behaviour is therefore unchanged until `npm run etl` is run somewhere with archive access, at which point every planet with a published period starts moving correctly with no further code changes. build.ts reports how many records gained a period, and rejects non-positive ones. Tests: 171 passing, up from 151, including a new end-to-end check that TRAPPIST-1 b with its real period completes exactly one orbit in 1.51088 days and sits a full diameter away at half that. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WaySiNst4HhDXBHnMy8p5G |
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06cf7d2a15 |
Fix four defects a user hits in the first minute
Found by surveying the codebase against the plan; each was verified against the
committed assets or the running app before being touched.
TRAPPIST-1 was orbiting the Sun. The Exoplanet Archive leaves sy_dist blank for
some systems, and fetchExoplanets.ts read it with bare Number() — Number('') is
0, which is finite, so it slipped past the Number.isFinite guard in
resolveHostStarId, placed the host at the origin, and matched Sol at distance
exactly 0. 127 records shipped with hostStarId 0, all seven TRAPPIST-1 planets
among them, and the system view filters on that id, so drilling into Sol drew
127 alien worlds inside the real solar system.
Fixed in three places: resolveHostStarId now rejects a non-positive distance
(the robust guard, covering every caller), fetchExoplanets.ts uses the
parseOptionalNumber that already sat unused in that same file for ra/dec/dist,
and validateExoplanets asserts nothing ever resolves to the Sun again — the Sun
has no exoplanets, so that tripwire costs nothing and is permanent.
The archive's endpoint is blocked by this environment's egress policy, so the
ETL cannot be re-run here. The committed asset was corrected in place instead,
which is safe because the outcome is deterministic: the name path runs first and
none of the 127 resolve by name, so all of them reached id 0 positionally and
the fixed pipeline yields null for exactly that set. Cross-referenced hosts drop
from 761 to 634; record count is unchanged.
Dragging to rotate selected stars. Selection was bound to the raw click event,
which browsers fire on release however far the pointer travelled and which
OrbitControls does not suppress — so any drag ending over a star launched a
camera flight, and in system view routed away to /body/:id. Now tracks
pointerdown and ignores a release more than 5 px from it.
Ghost systems accumulated on every star-to-star hop. SystemOrbitsRenderer.dispose
released geometries and materials but never detached its group, so old orbit
lines stayed parented forever — still traversed and re-uploaded each frame with
disposed geometries, drawn over the new system and unpickable. dispose() now
detaches and clears.
Galaxy star labels stayed pinned inside the system view. They are CSS2D objects
parented to the scene rather than to galaxyGroup, so hiding the group left up to
15 parsec-space names clumped over the system's star. Cleared on entry. Also
gated the per-frame Kepler propagation on actually being in a system; it ran in
galaxy view too, because the renderer is never nulled on exit.
Tests: 116 passing, up from 112. Build, both typechecks and the Playwright suite
are green.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WaySiNst4HhDXBHnMy8p5G
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3a859360ba |
Add the deep-sky backdrop, the last unbuilt piece of the plan
The design doc scopes deep-sky objects as a galaxy-view backdrop and lists fetchDeepSky.ts, deepsky.json and deepsky.model.ts, but none of it existed — it was the only part of the plan with no implementation behind it. ETL: fetchDeepSky.ts pulls the OpenNGC catalog, classifies each object as a galaxy/nebula/cluster, and keeps the ~460 worth drawing (everything Messier, everything with a common name, and anything brighter than magnitude 9) out of ~12,000 mostly-anonymous rows. build.ts runs it and validates the output. Distances are the hard part: OpenNGC has no distance column, and both fallbacks fail for the best-known objects. M31, M33 and M42 are Local Group members whose redshift is negative or absent, and a galaxy's catalog parallax comes from a cross-matched foreground star — 6 mas for M31 would put a 780 kpc galaxy at 167 pc. So records store a unit direction on the celestial sphere rather than a position (the line of sight is always known precisely, and the objects are drawn on a fixed backdrop shell where true distance is unusable anyway), and distance is optional metadata carrying its own provenance. Parallax is trusted only for galactic objects, redshift only above z=0.003 where expansion outweighs peculiar velocity. 330 of 463 get a distance; the rest honestly report none. Rendering: DeepSkyRenderer paints the objects as soft additive billboards on a 2500 pc shell — clear of the 50 pc star field, beyond the camera's 2000 pc orbit limit, and inside its 5000 pc far plane. Size comes from real angular extent, so Andromeda is six times wider than the full Moon, clamped at both ends. Sprites rather than points because the WebGPU backend caps point primitives at one pixel; materials are shared per kind and brightness band, so 460 objects cost nine of them. The brightest dozen get permanent labels, which needed the label overlay to accept string ids alongside numeric star ids. The backdrop is decorative, so a failure to load its dataset is logged and the star field comes up regardless. Also documents the app in the README, which until now covered only the plugin marketplace. Tests: 112 passing, up from 54. Build, both typechecks and the Playwright suite are green. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WaySiNst4HhDXBHnMy8p5G |
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d7e8ea1d4d |
@
Add star-map Angular app, ETL pipeline, and caveman plugin Angular 3D star map (galaxy/system/body views, Three.js rendering, navigation store) plus the NASA ETL tooling that builds the star, exoplanet and solar-system datasets, Playwright e2e suite, and the cs:caveman Claude Code plugin (command, agent, skill). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> @ |