Galactic Geography: Some Charts

This month I started teaching myself how to do some basic python, using the dumps from Spansh (thanks Spansh!).

I've been investigating the makeup of the galaxy, probably just rediscovering all this stuff you guys already knew. Anyway, here's some of it for your amusement.

I started with learning some basic charts - here's the average makeup of discovered systems

K2hNnvk.png


Here's the average value of a system assuming you only DSS the metal-rich and above bodies
icYXATz.png



or here's where Helium rich gas giants were found:
tmzB4xK.png


Then I taught myself heat maps, and started counting up interesting information up in 100ly * 100ly areas.
So for instance, here's the proportion of discovered bodies that are high metal content
6AVZxAC.png


And here's the proportion of discovered stars that are Neutron Stars
TI3JlgD.png


Here's the O types
VFWw18P.png


And here's where the Helium Rich gas giants were found
sFCCI85.png


And here was the averaged value of each region - scanned systems were most valuable on average in the core and on the rim, though some of that is player behaviour driven I guess:
72knqqH.png


Then I taught myself some animations.
Here's the age of the stars

Here's the last 4 years exploration

And here's the number of systems discovered in each 100ly * 100ly area.

Here's a similar animated heatmap, showing the number of discovered systems but scanning the galaxy from top to bottom in 100ly thick slices.

Note (which I'm sure lots of you already knew) there are some stars in that dump which have no scanned bodies that were imported from the real world catalogues, I only discovered that while doing that heatmap slicing the galaxy. Here's their distribution (x axis is 100s of ly above or below the plane of the galaxy). The spike of 13 stars 11,200 ly below the plane contains pulsars like PSR J0024-7204I from globular cluster 47 Tuc. Someone else actually spotted these a few years ago and posted on Inara about them here.
6C6NLar.png


Anyway, then day before yesterday I discovered this thing called a pointcloud. So I've been visualising stuff like
The three layers of neutron stars, with the obvious gap just below +1000 and above -1000ly from the plane.

Here's a closeup of that lesser known stellar forge gap (at least to me) separate from the main cross

Or spotting that there are paths taken that are clearly a few hundred ly away from the bulk of the discovered galaxy, leading me to suspect there's still profitable routes on the rim just a bit further coreward than that

And I started playing around with transparency, highlighting the areas with lots of systems discovered

Or just showing the same but just masking off stuff you're not interested in instead of using transparency

So now instead of a heatmap of where the helium rich gas giants are, I can show an animation

Or do similar for black holes

or Wolf-Rayets

I was also playing around with relative density plots, this following data isn't from the entire galaxy, just a 2200 system jaunt I took last year before I discovered teh public exploration dumps, so it's maybe not very representative. I'll redo it sometime with a large sample size.

Here's stellar magnitudes:
GQxwUcJ.png


Surface temperatures
1vMHaAL.png


Terrestrial surface temperatures
9i5nVGL.png


The ages of the few stars I discovered
ZlF2B2W.png


And here's stellar masses
qgctYDN.png


Star sizes
Vl0c0mN.png


Planet sizes
PzRtH2s.png


Terrestrial planet sizes
Y7tkir3.png


Large body masses
jpi1qpz.png


Terrestrial body masses
vK4oDnZ.png


Surface Gravity
wgp3VqG.png


Terrestrial surface gravity
5E8mKAl.png


Planets per system type
HTnoi4l.png


Planets per star or barycenter type within the systems
LOawRNs.png


Oh, I quite like this visualization I did of the travel route I took
k6cpSAr.jpg


I could go on, but you get the idea. I'll probably redo the relative density plots at some point with galaxy wide data, and make a few more 3d rotating galaxy visualizations of stuff.
Before you give out to me about the length of this post, my excuse is CMDR Marx made me do it!
 
I've made two new visualisations On white dwarves. They are made up of spheres where each sphere represents a 100ly x 100ly x 100ly volume in the galaxy.

In this first one is the color of each sphere represents the raw count of white dwarves discovered in that area - brighter is more white dwarves.

However, it looks clear what you're really seeing here is where people have been searching for white dwarves! Tracks where people have gone on a dwarf hunting spree are clearly visible.

To try and give a truer picture of white dwarf distribution, in this second visualization, the color of each sphere is the number of white dwarves in the each volume divided by the number of discovered systems in that area. Dwarves will still be overrepresented as people go out of their way to visit them, but you can see in this second visualization the highly trafficked areas seem to have a lower proportion of dwarves - these are the areas where people are not as likely to be looking for dwarves and so the color in those high traffic areas is a truer representation of the distribution of dwarves.

 
Very good stuff! I see you have a love of good visualizations too. Most excellent.
Ah, praise from the top ;)

Cheers Orvidius, after I made a bunch of these I discovered you beat me to it by a few years!

Just out of curiosity - how's your bandwidth costs? It occurs to me we could maybe slap a UI on the pointcloud stuff and allow people to display various criteria they're interested in, but then I realised each of these reduced datasets is still about 400mb! Uncompressed, but still.

EDIT: Interesting! I compressed one of the datasets down and it came to 2.5MB, so very manageable, the helium one is literally half a MB.
 
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Yeah, the data set is getting rather huge. That's the main reason I haven't made entire dumps available like Spansh has-- He's already done it, and I'd be using a lot of webserver resources to duplicate that effort. Instead I have lots of spreadsheets of focused emphasis, and dumps of individual body types, and so on.

In my case the web server is a VPS (virtual private server) with limited resources, while the database and script servers are on physical hardware sitting next to me at home. The latter generate the images and files to push out to the webserver. So I haven't pursued many online web applications that would need access to the data itself. For instance, the sector viewer and interactive maps all use pre-generated images.
 

The image above shows every reported explored system in the area, colored by system value and less valuable systems are also more transparent. The thickest cone of explored systems leads away from Colonia at the centre directly towards the bubble, the second thickest track of explored systems points towards Sagittarius A*. You can clearly make out the work of some enterprising sorts who have been scanning particular boxels.

Here is a zoomed out view showing the same data but for every system reported explored within 2000 light years of Colonia.


If you look closely in that one, you can see some people have been meticulously slow-boating exploration trails through the area, with someone (you?) plotting many of them above Colonia itself on the galactic plane.

Here's a map showing that galactic plane area highlighted in yellow to show their hard work.

---------
ELWS!
Next, here's a map showing every Earth-like world explored within 1000 light years of Colonia You can infer from this the areas which might make good exploration targets near Colonia.

For comparison to above, here's a map showing every Earth-like world explored within 1000 light years of Sol.

You can clearly make out the two touching spheres nature of "the bubble", with a large sphere centred on Sol and a second smaller sphere of terraformed earths expanding in the area centred on Achenar.

Finally, here's that image zoomed in, showing just a close up of the bubbles Earth-like worlds.
 
I redid the Colonia maps above, they're not as pretty now but show more info. I left the transparency set by the system value like above, but instead of just having the systems shift from orange to yellow when they got more valuable, I tried out using the in game map colours for stellar category (OBAFGKM, Non sequence etc)


So when you zoom in you can see the types of stars people are scanning on their boxel scans.. some boxels were scanned for different star types than others -

 
The galaxy unforged - all the stellar forge stars removed, leaving only the catalog stars and the hand placed ones.


The yellow cone projecting out further than most is the Kepler Objects of Interest catalog from the kepler space telescope observations.
You might notice that there are thin vertical and horizontal gaps in the cone - that's because of the detector on kepler, which looks like this -

https://en.wikipedia.org/wiki/Keple...a/File:Keplerspacecraft-FocalPlane-cutout.svg
 
Yes, centered on Sol. I haven't checked with most which streak corresponds to which survey. The stars are coloured by M-K type (OBAFGKM etc) using the same colours as the in game map.
 
Do you like some of those 3d maps of bubbles? Want to make your own?

Well now you can, I made a little app that lets you create visualizations of any part of the galaxy you're interested in, filter out systems unless they have the bodies that you're interested in, make certain categories of stars partly transparent, and some other things.

The app is available for download here, and to use it you will need a summary file of Spansh's galaxy dumps (which the app also generates). The summary is a mere 1.25GB compared to Spansh's 50GB though! I've the galaxy summary up as a torrent - torrent file is available here.

If you're curious about how it works, the code is up on github here.
 
This is amazing stuff! How are you rendering the animations?
It's a python app, packaged to run on windows. I use pptk as the point cloud viewer, chosen pretty much at random. Open3d would have worked too I guess. It's capable of displaying the entire galaxys explored systems in 3d on my system, which is interesting to view once or twice or maybe to pick a very long range expedition goal, but I generally find the more useful thing might be to view what's been explored in your local area, in case there are gaps that are less explored than others.

It's also interesting to view things like galaxy wide distribution of black holes or helium gas giants, that sort of thing. Let me know if it works for you, my first attempt at packaging it up for windows went wrong!

To start you'll need the app and some data - you can either download Spansh's dumps and process them using the app (costly and time consuming), or you can work off the pre-processed dumps that are available on that torrent.
 
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