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Gaia DR3 Catalog - 14 Million Stars (Standard Version)
   
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Gaia DR3 Catalog - 14 Million Stars (Standard Version)

在 Delta Ori 的 1 个合集中
Gaia DR3 Standard Version Catalogs
10 件物品
描述
Overview:
This catalog contains fourteen 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 only duplicate-filtered against the default SpaceEngine star catalogs, and shouldn't be used with any of the older DR2 addons except for the DR2 White Dwarfs addon that used to be available on the SpaceEngine forums.

If you are using any of the old DR2 addons, the full collection of Compatibility Version catalogs is available HERE.



RAM Recommendation:
Requires a minimum of ~15.25GB 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
1,130
BIV
1,135
BIII
1,266
BII
0
BI
0
AVI
466
AV
102,246
AIV
73,662
AIII
5,553
AII
671
AI
0
FVI
0
FV
1,910,505
FIV
1,622,988
FIII
529,657
FII
23,855
FI
133
GVI
0
GV
1,352,141
GIV
1,502,647
GIII
1,055,198
GII
52,554
GI
688
KVI
2,721
KV
1,350,770
KIV
1,617,788
KIII
1,213,396
KII
87,235
KI
3,154
MVI
0
MV
1,350,565
MIV
0
MIII
31
MII
45
MI
0
C
137,800



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.