Disclaimer : the lead author was my third year academic tutor (easily one of Cardiff's best lecturers), but I was not involved in this research at all.
Galaxies are pretty complicated things that come in all shapes and sizes. But at least one thing has tended to be quite simple : their colours. By and large, they divide themselves into two distinct sequences when you plot their colour against total stellar mass - a narrow red sequence, and a fuzzy blue cloud. In between lies the "green valley", or transition region, where there are relatively few galaxies. Most galaxies in the blue cloud tend to be spirals and irregulars, whereas most on the red sequence tend to be "red and dead" ellipticals. The blue galaxies tend to be gas rich and actively forming stars, whereas the red ones basically don't.
These are not hard-and-fast rules by any means : there are plenty of exceptions, and pretty much all of parameter space is populated to some degree. But these guidelines are pretty good and do seem to be true most of the time. And various other studies have claimed different evidence of a "bimodality" in the galaxy population, with active galactic nuclei being far more common above a certain mass threshold.
A popular view of galaxy evolution is that when galaxies run out of gas, they stop forming stars. Since young stellar populations are dominated by short-lived, bright blue stars, galaxies with ongoing star formation tend to be bluer. And the collisional nature of the gas helps it to form complex structures like spiral arms. So when the galaxy runs out of gas, the bright blue stars quickly die off and only the less massive red stars survive. The transient spirals that were sustained by the gas quickly dissipate, and the galaxy becomes smooth, red, and dead. It ought to move from the blue cloud through the green valley and end up on the red sequence.
One particularly nice paper from 2009 found that galaxies in the green valley are dominated by galaxies which have less gas than expected. Since there aren't very many of these galaxies, this suggests that galaxy evolution is a rapid process that's dominated by a sudden event. This is supported by analyses of environmental processes like ram pressure stripping, which can quickly strip a galaxy of its entire gas content in certain circumstances.
This paper disputes this interpretation, calling (in a later paper in the sequence I've not yet read) for nothing less than a new paradigm for galaxy evolution. A bold statement, but potentially justified.
Here the authors have used the Herschel Reference Survey, which claims to be volume-limited (that is, it's found every bright galaxy within its survey volume). They've also got a whole slew of different estimators for the star formation activity, so their data is high quality stuff. They then plot how the star formation rate (normalised to the total stellar mass of each galaxy) varies with stellar mass. This is much more physics-based than the traditional plots, which use colour as a crude proxy for star formation activity. And they don't see any evidence of bimodality, they see a continuous sequence. Even the galaxy structures apparently vary very smoothly from the galaxies with highest to lowest star formation rates.
One issue that's often raised for galaxy morphology evolution is that the stellar density profiles of spirals and ellipticals is so different that it doesn't seem that removing the gas and quenching star formation would be enough to cause this change. The spirals structures could disperse, sure, but why would the end of star formation lead to the presence of a very dense central bulge ? Here the authors note that the galaxies may not be as different as they appear, with recent studies finding evidence of residual rotating discs in elliptical galaxies. That makes the smooth evolution of disc to elliptical at least somewhat more plausible, as do the discoveries of gas in elliptical and lenticular galaxies.
This is definitely very interesting, but I'd be a bit cautious (I may change my tune when I eventually read the other papers in this sequence). First, while the correlation is obvious the authors claim the slope of this trend is curved, but their best fit is patently lousy. I'll show their plot without their best-fit curve in the comments below - I could probably agree that there's a slight curve, but definitely not the one the authors fit. That doesn't really change the conclusions, but it does raise a flag about the statistical analysis.
Second, there does seem to be some hint of bimodality, even if it's only weak. It would be nice to see a 2D density histogram of their main plot to see if galaxy density really does vary or if this is just an illusion.
More concerning is that the galaxy sample includes the Virgo cluster, which has a much higher galaxy density than the general field so here we expect environmental processes to be different. When they do the same plot without the cluster members, they claim to see the same trends, but I'm not so sure (see their figure 3). I would say it's at least arguable, though I'd fully accept that it's not certain, that two populations are evident : there appears to be a group of actively star-forming galaxies and a smattering of others. It would have been nice to also plot only cluster members as well - I suppose we'd see the reverse, a population dominated by dead galaxies with a smattering of live ones. Unfortunately they don't do this. I for one would be very surprised indeed if galaxy evolution was a largely continuous process inside clusters - I would almost say that doesn't make any sense.
So I don't know. It's intriguing, but I'm not so sure their sample is as good or uniform as they claim. I'm not at all sure about this business of specific star formation rate (s.f.r per unit mass). While s.f.r. will vary in galaxies simply because of their mass anyway (bigger galaxies have more gas available for star formation), galaxy size will affect their environmental susceptibility as well. So I'm a bit worried that this might be misleading in some way, though I can't quite put my finger on it... what we're missing is how individual galaxies evolve, of course, we only have this statistical picture of what they're doing now. Also, Virgo cluster galaxies do seem to either have lots of HI (warm gas) or none at all, with not much middle ground. It would be interesting to see if this is also true for the colder molecular gas, which is thought to be less vulnerable to stripping.
Interesting stuff, but I reserve the right to remain unconvinced for no good reason...
http://adsabs.harvard.edu/abs/2017MNRAS.465.3125E
Sister blog of Physicists of the Caribbean. Shorter, more focused posts specialising in astronomy and data visualisation.
Friday, 28 September 2018
M33 in VR : final version
Before I left for the science castle [an ALMA conference], I left the M33 data cube in VR rendering with higher resolution and wider camera separation for greater depth effect. I also saved it as an mp4, which means I can add the necessary metadata for this to work on YouTube. So you don't need a headset for this one, you can view it in regular browsers and use the mouse to look around. You can even turn on red-green 3D if you really want. Of course it's a lot better if you use an actual headset, and having it on YouTube should make viewing it a lot easier that way too.
This is still just a proof-of-concept test but I'm quite happy with the result. It could be fun to make this into a more fully developed, explanatory tour. What would be really nice would be to use the full AGES cube (this is only about 3% of the total), though that will require a different technique because otherwise I'll exceed the 1,024 image texture limit in Blender. I'll see how well Cycles handles image sequences as volumetrics. In the meantime I have a more detailed data cube to try out.
https://www.youtube.com/watch?v=ZI6dACWVni8
This is still just a proof-of-concept test but I'm quite happy with the result. It could be fun to make this into a more fully developed, explanatory tour. What would be really nice would be to use the full AGES cube (this is only about 3% of the total), though that will require a different technique because otherwise I'll exceed the 1,024 image texture limit in Blender. I'll see how well Cycles handles image sequences as volumetrics. In the meantime I have a more detailed data cube to try out.
https://www.youtube.com/watch?v=ZI6dACWVni8
Monday, 24 September 2018
Science castle FTW !
Every year, the European ALMA ARC nodes hold an all-hands meeting to discuss mostly very uninteresting logistical issues. The ALMA Regional Centres are responsible for providing support to ALMA users, from writing telescope proposals to helping with the data reduction - that one being especially important. They're also involved with software development and whatnot. Meetings tend to have very little science content so they're not really worth lengthy descriptions, but this year the venue was especially nice : Chateaux Liblice, just north of Prague. This is one of two castles owned by the Czech Academy of Sciences and I'm fully in favour of science institutions being castle-based.
The actual seminar room was entirely normal and not worth describing. But the coffee and dining areas, those were proper marble-columned chateaux awesomeness.
I didn't get a room in the castle itself, but in a small town a few miles away. I didn't care though because it was super-opulent. It had TWO balconies ! TWO ! Whoever heard of such a thing ?
Such opulence, gentle reader, is not standard. Usually we get mid-level hotels, and sometimes extremely bad ones. This one was probably the most luxuirant conference venue I've ever had.
I didn't get a room in the castle itself, but in a small town a few miles away. I didn't care though because it was super-opulent. It had TWO balconies ! TWO ! Whoever heard of such a thing ?
Such opulence, gentle reader, is not standard. Usually we get mid-level hotels, and sometimes extremely bad ones. This one was probably the most luxuirant conference venue I've ever had.
Friday, 21 September 2018
M33 VR looking shiny and nice
Some major improvements to the M33 VR render. Low resolution video but that really doesn't matter because the data is low resolution anyway. Much better colour scheme so you see a lot more detail in this one, and the data range now shows enough noise to give a better sense of depth. Plus the colour scheme is just much prettier.
Unfortunately I forgot to render this in the .mp4 format required for YouTube so you'll probably still have to download this one, and it's only suitable for headsets. I'll try and get the YouTube version working next week.
I think this would be a very nice way to give a tour through a data cube. A full AGES data cube (e.g. https://www.youtube.com/watch?v=1YWGZhXe_gA) would be a lot of fun, but that would require breaking the image texture limit that Blender < 2.78 can handle. So either I reinstall Linux on my work machine, or try and get the images sequences to process as Cycles volumetrics instead of textured planes.
Thursday, 20 September 2018
Proof of concept : M33 HI data cube in VR.
Proof of concept : M33 HI data cube in VR. Has a lot of little flaws but the basic concept works : you fly through the data, it's visibly 3D, and you get full 360 coverage. Needs a headset to view this one. Once I iron out the problems (data has been smoothed too much, the colour scheme gets rid of too much noise which would provide useful reference points for depth information, and there's probably too much saturation) I'll upload to YouTube with metadata, so you can pan around in a regular web browser.
This one is created using the bare minimum display code of FRELLED (http://www.rhysy.net/frelled-1.html) converted to use Blender's Cycles engine, which can handle the equirectangular camera format needed for 360 spherical stereo video. This has to be rendered rather than using realtime capture (though the Cycles camera supports equirectangular display in the realtime preview, it doesn't seem to allow for capturing preview animations like the OpenGL view does). It also requires having all three projections visible at once, so this is rather slow.
Previously I was hell-bent on getting the ALFALFA data catalogue rendered in VR, but the limitation was that Blender versions 2.78 and below don't allow more than 1,000 image textures. And my work machine, which can comfortably handle intensive processing jobs for days on end without batting an eye, won't let me install 2.79 (which doesn't have a texture limit) unless I do so massive upgrading of my Linux installation. Fortunately, while many HI data cubes have the equivalent of more than 1,000 images, most of them don't need it - in fact, removing most of them actually results in a more detailed, less saturated appearance of the final renders.
More on the data cube on display here.
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