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Hi datalab! I'd like to use the simdr2 catalog to construct a small, somewhat spatially uniform catalog of brighter stars. I can query like:
```
SELECT ra,dec,rmag,ring256 FROM lsst_sim.simdr2 WHERE rmag > 17 AND rmag < 17.5 AND ring256=564654 LIMIT 10;
```

This works great (adding in an ORDER By rmag would be nice but seems to slow things down a lot), but expanding this to do a brute force loop over all 786432 HEALpixels seems bad. Is there a better way to get a few million stars with uniform coverage on the sky?
by yoachim (190 points)
edited by 0 | 65 views

1 Answer

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As suggested by my esteemed colleague Dino, one can use the random_id column to help generate sub-samples of a catalog. Since there is a strong gradient of sources with galactic latitude, it can be helpful to break the query into low and high latitude. But something like this:

SELECT ra,dec,umag,gmag,rmag,imag,zmag,ymag,ring256
FROM
lsst_sim.simdr2
WHERE
rmag > 17 AND rmag < 17.3
AND
(galb > 30 OR galb < -30)
AND
random_id < 50

generates 700k stars and I can easily trim that further to make the distribution more uniform.
by yoachim (190 points)
selected by 0
Hi Yoachim, very glad you found a work-around! Yes, random_id is exactly for getting random samples that are independent of the particular order in which the rows of the DB table are stored.
Sorry for the late reply, half the team was/is on vacation, plus we worked towards the DESI EDR release a few days ago...

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