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Gaia DR3 Catalog - 30 Million Stars (Compatibility Version)
   
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9 月 23 日 上午 8:47
10 月 4 日 上午 5:37
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Gaia DR3 Catalog - 30 Million Stars (Compatibility Version)

在 Delta Ori 的 1 个合集中
Gaia DR3 Compatibility Version Catalogs
11 件物品
描述
Overview:
This catalog contains thirty million stars, all with (semi-)accurate Morgan–Keenan Classifications derived from photometric and spectroscopic data collected by the ESA's Gaia mission that was included in their third data release.

Please note that while while the Gaia DR3 tables included a wide variety of data to work with, not all of it was of the best quality. As well, due to the number of stars involved, the actual work of processing that data into a SpaceEngine-formatted catalog was largely automated through the use of Python, which I'm relatively new to working with. There are definitely quite a few misclassified stars in this catalog, but I plan on making a new, better classifier from scratch once DR4 is available, since they've said that it will contain much higher quality data.



Compatibility Info:
This catalog is duplicate-filtered against the default SpaceEngine star catalogs, as well as all of the older Gaia DR2 addons, and can be used with any of them without issue. It is also filtered against the DR2 White Dwarfs addon previously available on the SpaceEngine forums.

If you are not using any of the old DR2 addons, the collection for the unfiltered Standard Version catalogs is available HERE



RAM Recommendation:
Requires a minimum of ~23.58GB of available RAM to run.

Note that there is more required to run a 3D program than just RAM; more stars to render means more strain on your GPU/CPU, so having enough RAM is not a guarantee that it will run. Additionally, this is peak RAM usage measured from the observation point in the thumbnail with the magnitude limit at maximum. Actually moving the camera into a higher-density area may require more, which is why this value is listed as minimum.



Known Issues:
A number of stars that sit right on the border between class IV and Class V may have been mistakenly pushed to the IV side when they should have been V, mostly in the B-type range. Fixing this would take a rather complicated workaround, followed by a minimum of two weeks to reprocess everything, and I've decided it's not worth it. I'll fix it when DR4 is out.



WD/O Disclaimer:
There are multiple classes of stars that are missing from this catalog due to unreliable data, but most of those are specific SpecType/Lumclass combos; the exception being O-type stars and White Dwarfs. These are both major categories (that are also interesting due to how "extreme" they are) that are entirely missing. Dedicated addon packs will be available in the future to cover both. I've found that the existing DR2 WD Addon is already accurate enough and shouldn't need a DR3 update, but the download no longer works and I can't contact the creator to request permission to re-upload. Until I get around to completing the DR3 WD addon, I've ensured that all versions of my DR3 catalogs are filtered against the DR2 WD Addon for anyone who still has the source file.



Star Contents Breakdown:
Classification
Quantity
BVI
0
BV
914
BIV
1,039
BIII
728
BII
0
BI
0
AVI
459
AV
70,580
AIV
39,597
AIII
4,192
AII
593
AI
0
FVI
0
FV
11,630,385
FIV
1,673,926
FIII
418,028
FII
22,124
FI
120
GVI
0
GV
3,590,509
GIV
1,430,635
GIII
679,267
GII
44,497
GI
613
KVI
2,696
KV
3,569,048
KIV
2,860,650
KIII
818,746
KII
69,027
KI
2,821
MVI
0
MV
2,934,618
MIV
0
MIII
31
MII
42
MI
0
C
134,115
I'm honestly not sure why there's so many F-type stars. I double checked and there's no artificial bias anywhere. Either Gaia is just really good at picking them up or they stand out well at a distance and the distance-weighting means there's more of them by coincidence.



This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

This work has made use of the VizieR catalogue access tool, CDS,
Strasbourg, France (DOI : 10.26093/cds/vizier). The original description
of the VizieR service was published in 2000, A&AS 143, 23


Photo: ESA/Gaia

Additional thanks to Coryn Bailer-Jones, Christophe Ordenovic, Eric Mamajek, and the University of Northern Iowa.