Gating it on `jobsQuery` switched it off for every override that *widens* the query — which is the only way to fill `select top N` at all. `ETL_GAIA_MAGNITUDE_LIMIT=14` asks for 500 000 rows, the sky holds more, and the answer is the limit rather than the filters: exactly what the tripwire is for, and it no longer fired. It now reads the row limit itself, so only a deliberately smaller slice is silent. Measured with a synthetic answer of exactly 500 000 rows in the cache, under the key the widened query hashes to: refused. With the `jobsQuery` gate back, the same run keeps 500 000 Gaia stars and goes on to publish them. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016jxMkwA2rbicdGxHosecYi
223 lines
11 KiB
TypeScript
223 lines
11 KiB
TypeScript
import { createHash } from 'node:crypto';
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import { propagateProperMotion, raDegDecDistanceToXyz } from '../../../src/app/shared/astro/coordinates';
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import { StarRecord } from '../../../src/app/shared/models/star.model';
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import { parseCsvObjects, parseOptionalNumber } from '../lib/csv';
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import { fetchTextCached } from '../lib/http';
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/**
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* Gaia DR3, via the ESA archive's TAP service.
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*
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* The only one of the large modern surveys that can add stars to a *3D* map, because it is the
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* only one that measures parallaxes for them. Its 1.8 billion sources are roughly 1% of the
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* Galaxy — no catalogue is close to the rest — but within a few hundred parsecs it is complete
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* in a way Hipparcos never was, and its parallaxes are fifty times more precise.
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*
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* Written blind against the published DR3 schema, since no ESA endpoint was reachable from the
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* environment it was written in; first run for real by the scheduled refresh of 2026-08-24, which
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* fetched 412 765 rows.
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*/
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const GAIA_TAP_URL = 'https://gea.esac.esa.int/tap-server/tap/sync';
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/**
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* Gaia DR3 gives positions for J2016.0; HYG for J2000.0, which is the epoch this map keeps.
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* Sixteen years of proper motion is over an arcsecond for anything faster than ~62 mas/yr —
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* which is most of the nearest stars: 62″ for Proxima, 166″ for Barnard's — so as published, the
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* two catalogues never agree on where those stars are, and a merge that matched them on the sky
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* kept every one of them twice. Each position is therefore carried back to J2000.0 with Gaia's
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* own proper motion before it leaves here.
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*/
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const GAIA_DR3_EPOCH = 2016.0;
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const CATALOGUE_EPOCH = 2000.0;
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/**
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* How far out to take Gaia, in parsecs, and the faintest star to keep.
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*
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* Both exist to bound the download rather than the science. Gaia's parallaxes stay useful far
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* past anything this map draws, so the limit here is a payload decision: the catalogue is baked
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* into a static asset that a browser downloads before the first frame.
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*/
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const DEFAULT_DISTANCE_CUTOFF_PC = 250;
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const DEFAULT_MAGNITUDE_LIMIT = 12;
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const DEFAULT_ROW_LIMIT = 500_000;
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const DISTANCE_CUTOFF_PC = Number(process.env['ETL_GAIA_DISTANCE_PC'] ?? DEFAULT_DISTANCE_CUTOFF_PC);
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const MAGNITUDE_LIMIT = Number(process.env['ETL_GAIA_MAGNITUDE_LIMIT'] ?? DEFAULT_MAGNITUDE_LIMIT);
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const ROW_LIMIT = Number(process.env['ETL_GAIA_ROW_LIMIT'] ?? DEFAULT_ROW_LIMIT);
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/**
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* Relative parallax error above which a star is dropped: a parallax measured to worse than 20%
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* gives a distance that is not worth plotting, and inverting a noisy parallax biases it badly.
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*/
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const MAX_PARALLAX_ERROR_RATIO = 0.2;
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/** Parallax in milliarcseconds for a given distance — the query's cutoff, expressed as Gaia has it. */
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function parallaxFloorMas(distancePc: number): number {
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return 1000 / distancePc;
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}
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function buildQuery(): string {
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return [
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`select top ${ROW_LIMIT}`,
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'source_id, ra, dec, pmra, pmdec, parallax, parallax_error, phot_g_mean_mag, bp_rp',
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'from gaiadr3.gaia_source',
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`where parallax > ${parallaxFloorMas(DISTANCE_CUTOFF_PC).toFixed(6)}`,
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`and parallax_over_error > ${(1 / MAX_PARALLAX_ERROR_RATIO).toFixed(1)}`,
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`and phot_g_mean_mag < ${MAGNITUDE_LIMIT}`,
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// source_id breaks the ties — 20 064 groups share a G at the published precision — so the
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// row order, and with it the ids assigned below, is a pure function of the archive's content.
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'order by phot_g_mean_mag asc, source_id asc'
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].join(' ');
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}
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/**
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* How many rows the query above holds when nothing is overridden: 412 765, and DR3 is a finished
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* data release, so that number only moves when the query does. It lives here, under the query, so
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* that an edit to any of its filters is made with the count it invalidates in view.
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*
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* Checked because a short answer looks exactly like a complete one. The TAP service truncates on
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* its own timeout and still serves a well-formed CSV with a 200, and the rows are ordered by
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* magnitude, so what comes back is the bright half — the half HYG overlaps. The merge gate in
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* `build.ts` would then see Gaia stars present and a survivor count barely moved, and pass a
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* catalogue missing two hundred thousand stars, which the weekly job would publish and the runner
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* would cache for the weeks after it. Same failure, and same guard, as
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* {@link MIN_USABLE_HIP_DISTANCES} below.
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*
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* Only checked when nothing is overridden: the environment overrides exist to fetch a smaller
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* slice on purpose.
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*/
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const DEFAULT_QUERY_ROWS = 412_765;
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const MIN_ROW_SHARE = 0.95;
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/**
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* An answer the archive gave that cannot be worked with, as against an archive that gave none.
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*
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* `fetchStars` skips a source it cannot reach and leaves the merge gate to judge the result. That
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* is right for an outage and wrong for a truncated CSV, which would be skipped, cached, and land
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* as "the archive was unreachable" long after the assets had been overwritten — so these throws
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* are marked, and rethrown there.
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*/
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export class GaiaAnswerError extends Error {}
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/**
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* Gaia publishes no spectral classifications, but `bp_rp` is a colour index on the same footing
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* as HYG's `ci` — so the app's existing colour and spectral-class handling works unchanged, and
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* the spectral type is left as unknown rather than invented from the colour.
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*/
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const UNKNOWN_SPECTRAL_TYPE = 'Unknown';
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/**
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* Gaia source ids are 19 digits and there are no proper names, so a star's identity here is its
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* catalogue designation. The app's star ids are 32-bit, which a Gaia source id overflows, so the
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* two are kept apart: `id` is assigned within this run's own range and the designation carries
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* the real identifier in the name.
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*/
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const GAIA_ID_BASE = 1_000_000_000;
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export async function fetchGaiaStars(): Promise<StarRecord[]> {
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const query = buildQuery();
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const url = `${GAIA_TAP_URL}?REQUEST=doQuery&LANG=ADQL&FORMAT=csv&QUERY=${encodeURIComponent(query)}`;
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console.log(`Fetching Gaia DR3 (within ${DISTANCE_CUTOFF_PC} pc, G < ${MAGNITUDE_LIMIT}, at most ${ROW_LIMIT} rows)...`);
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// Keyed by the whole request, so a response cached for other columns, another order, or
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// another endpoint can never be mistaken for this one — the cache records only that some
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// response arrived, not what it answered.
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const cacheKey = `gaia-dr3-${createHash('sha1').update(url).digest('hex').slice(0, 8)}.csv`;
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const csv = await fetchTextCached(url, cacheKey);
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const rows = parseCsvObjects(csv);
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const jobsQuery = DISTANCE_CUTOFF_PC === DEFAULT_DISTANCE_CUTOFF_PC && MAGNITUDE_LIMIT === DEFAULT_MAGNITUDE_LIMIT && ROW_LIMIT === DEFAULT_ROW_LIMIT;
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if (jobsQuery && rows.length < DEFAULT_QUERY_ROWS * MIN_ROW_SHARE) {
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throw new GaiaAnswerError(
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`Gaia returned ${rows.length} rows, not the ~${DEFAULT_QUERY_ROWS} this query holds — the answer was cut short, it was an error page ` +
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`served with a 200, or the query was edited without updating DEFAULT_QUERY_ROWS; delete tools/etl/.cache/${cacheKey} once the archive answers properly`
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);
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}
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// Not gated on `jobsQuery` like the floor above it: the only ways to reach this cap are the
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// overrides that *widen* the query, and they are exactly when it is worth saying. What it must
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// not fire on is a deliberately smaller slice, where filling the limit is the whole point.
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if (ROW_LIMIT >= DEFAULT_ROW_LIMIT && rows.length >= ROW_LIMIT) {
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throw new GaiaAnswerError(`Gaia returned the query's own ${ROW_LIMIT}-row limit, so it is the limit deciding what the map holds; raise ETL_GAIA_ROW_LIMIT.`);
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}
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const stars: StarRecord[] = [];
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rows.forEach((row, index) => {
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const parallaxMas = parseOptionalNumber(row['parallax']);
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const raDeg = parseOptionalNumber(row['ra']);
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const decDeg = parseOptionalNumber(row['dec']);
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if (!parallaxMas || parallaxMas <= 0 || raDeg === undefined || decDeg === undefined) {
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return;
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}
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const distancePc = 1000 / parallaxMas;
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if (distancePc > DISTANCE_CUTOFF_PC) {
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return;
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}
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const j2000 = propagateProperMotion(raDeg, decDeg, parseOptionalNumber(row['pmra']) ?? 0, parseOptionalNumber(row['pmdec']) ?? 0, CATALOGUE_EPOCH - GAIA_DR3_EPOCH);
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const { x, y, z } = raDegDecDistanceToXyz(j2000.raDeg, j2000.decDeg, distancePc);
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stars.push({
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id: GAIA_ID_BASE + index,
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name: `Gaia DR3 ${row['source_id']}`,
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x,
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y,
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z,
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magnitude: parseOptionalNumber(row['phot_g_mean_mag']) ?? MAGNITUDE_LIMIT,
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spectralType: UNKNOWN_SPECTRAL_TYPE,
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colorIndex: parseOptionalNumber(row['bp_rp']) ?? null,
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source: 'gaia'
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});
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});
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console.log(` kept ${stars.length} Gaia stars (of ${rows.length} rows).`);
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return stars;
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}
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/**
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* DR3's Hipparcos cross-match is a fixed table of 99 525 rows, 97 751 of them with a usable
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* parallax. Far fewer means the answer was an error page served with a 200, or was cut short,
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* and either would pass for "Gaia does not know these stars" and put every one of them back at
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* its Hipparcos distance.
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*/
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const MIN_USABLE_HIP_DISTANCES = 90_000;
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/**
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* Gaia's distance for every Hipparcos star it has a usable parallax for, keyed by HIP number.
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*
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* Taken from the archive's own cross-match (`hipparcos2_best_neighbour`) rather than from
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* matching positions here, since Gaia's team made that identification star by star with the
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* proper motions and photometry in hand. It is deliberately not bounded by distance: the stars
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* it exists for are the ones Hipparcos put inside the map and Gaia puts outside, which the main
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* query above never fetches.
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*
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* Required rather than best effort. Without it every HYG star falls back to its Hipparcos
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* distance, the 6 833 that Gaia puts past 250 pc move back inside, and the published map would
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* flip between the two with the archive's availability.
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*/
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export async function fetchGaiaDistancesByHip(): Promise<Map<number, number>> {
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const query = [
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'select top 200000 b.original_ext_source_id as hip, g.parallax, g.parallax_over_error',
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'from gaiadr3.hipparcos2_best_neighbour b join gaiadr3.gaia_source g on g.source_id = b.source_id'
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].join(' ');
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const url = `${GAIA_TAP_URL}?REQUEST=doQuery&LANG=ADQL&FORMAT=csv&QUERY=${encodeURIComponent(query)}`;
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console.log('Fetching Gaia DR3 distances for Hipparcos stars (archive cross-match)...');
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const rows = parseCsvObjects(await fetchTextCached(url, `gaia-dr3-hip-${createHash('sha1').update(url).digest('hex').slice(0, 8)}.csv`));
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const distances = new Map<number, number>();
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for (const row of rows) {
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const hip = parseOptionalNumber(row['hip']);
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const parallaxMas = parseOptionalNumber(row['parallax']);
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const overError = parseOptionalNumber(row['parallax_over_error']);
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if (hip !== undefined && parallaxMas !== undefined && parallaxMas > 0 && overError !== undefined && overError > 1 / MAX_PARALLAX_ERROR_RATIO) {
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distances.set(hip, 1000 / parallaxMas);
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}
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}
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if (distances.size < MIN_USABLE_HIP_DISTANCES) {
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throw new Error(
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`the Hipparcos cross-match gave ${distances.size} usable distances (of ${rows.length} rows), not the ~97 751 it holds; ` +
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'delete tools/etl/.cache/gaia-dr3-hip-*.csv once the archive answers properly'
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);
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}
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console.log(` ${distances.size} Hipparcos stars have a Gaia distance (of ${rows.length} cross-matched).`);
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return distances;
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}
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