822c69944cfaac5a885f43386d2690503291de70
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Commits
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  SenrokaiandClaude Opus 5
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7a112e4bb3 |
Answer the review: HYG's own last-resort name is a designation too
Junie: a HYG star that fell all the way through the ETL's naming chain -- no proper name, Bayer, Flamsteed, HD, Gliese or HIP -- is called "HYG <id>", and with `source: 'hyg'` the predicate was looking for a lower-case "hyg " prefix and calling it named. None in the current catalogue, but the path is in `tools/etl/fetchStars.ts` and a refresh could walk it. Fixed in the table rather than in the predicate: `hyg: 'HYG'` next to `gaia: 'Gaia DR3'`, so the encoder, the decoder and the predicate all read the one rule. The sourceless case reads the same entry instead of repeating it. npm test 609/609, build and ETL typecheck clean. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014fcUfL82nvyh9VebX1Fz6w |
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SenrokaiandClaude Opus 5
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f14e252b19 |
Name the neighbours that have a name, before the ones that only have a number
The neighbour ring exists to say where you are. Since the catalogue refresh it has been spending one of its four places in Sol on "Gaia DR3 5853498713190525696" -- a nineteen-digit survey id for the star printed beside it as Proxima Centauri, the same star twice -- and that duplicate row pushed Barnard's Star off the ring altogether. 91.9% of the refreshed catalogue is named that way. Named stars now come first, and survey designations fill in only where fewer than four named ones are in reach. The line between the two is the one the catalogue format already draws: a name is a designation when it is what the star's source would generate for it. Judged by the prefix rather than by rebuilding "prefix id" from the row, because the number after "Gaia DR3" is the survey's own id, which the 32-bit row id cannot hold -- a round trip through the id would have called every one of those stars named. The preference lives on the index as `nearestPreferring`: the preferred pass exhausts the search before the fill runs, so a named star is never outranked by a nearer unnamed one. That is the whole point of asking. The end-to-end spec names Barnard's Star again, on purpose. The four nearest named stars to the Sun are a fact about space, not about which catalogue was refreshed last, and without this change that is exactly the label that vanished -- checked by running the spec with the preference stashed: it fails on that line, and passes with it back. npm test 609/609, npx playwright test 16/16 under CI=true --workers=2. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014fcUfL82nvyh9VebX1Fz6w |
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Claude
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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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Claude
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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 |