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Is GZH consistent with GZ:CANDELS? #54
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Agreed, or in fact to show that there may be interesting cases where the On Fri, Apr 29, 2016 at 7:03 AM, Kyle Willett [email protected]
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I don't understand the blue lines in the figures. If they're the averages binned by GZH why don't they span the whole y-axis range in each figure, and why don't they go through the main locus of points in the top row especially? Really curious to know what redshifts these are as well -- if they're in the regime where GZH is sampling mostly UV and GZC is sampling entirely optical then it wouldn't surprise me if GZH picked up more "features" than GZC, and clearly the debiasing is accentuating that. If we binned these by redshift I might expect to see a pretty steep trend, or at least I wouldn't be surprised if there was a change right around where the GZH wavelengths start to be dominated by UV (which depends on the survey field, obviously). That might also be true of the spiral vote fractions... I often had the sense looking at the GZC images that the spirals appeared weaker for galaxies with z < 1.5 or so because the SF areas in the spiral arms just weren't observed at CANDELS wavelengths. In the one metric shown that depends least on wavelength and surface brightness (edge-on), they are really well matched. The merger plot is really hard to see anything... is it worth showing this? These trees really differ a lot in how they deal with mergers, and I think that is very much a point worth making... I'm just not sure this is the way to make it. One other thing I'd love to see in a plot like this is the clumpy vote fraction. Really curious to see what that looks like. |
It's very possible I accidentally haven't computed averaging over the bins in the correct manner (or at least in the same way that you did). Maybe you could help me figure out how - I didn't find your code on the repo, so couldn't exactly replicate it. What I tried was (in pseudo-code): bins = np.linspace(0,1,10)
db = bins[1] - bins[0]
gzc_avg,gzc_std = np.zeros(nbins-1),np.zeros(nbins-1)
for i,b in enumerate(bins[:-2]):
gzc_avg[i] = np.mean(gzc[(gzh >= b) & (gzh < b+db)])
gzh_avg[i] = np.mean(gzh[(gzc >= b) & (gzc < b+db)])
plot(bins,gzc_avg)
plot(bins,gzh_avg) Full code: https://github.com/willettk/gzhubble/blob/candels/python/gzh_gzc.py |
Shouldn't it be:
Or maybe the other one is flipped... sorry, just reading quickly, but that does look like what I did apart from that. |
Small numbers? On the first GZC question there were so many "star or artifact" votes per galaxy (distracted by noise, I expect) that it's really rare to have p_feat-gzc-raw > 0.8. Suggest coarser bins for the merger question? |
Also, I think our error bars are different -- the error bars in the GZC paper's Figures 7 & 8 enclose the middle 68% of data in each bin, which I'd expect to be a bit more asymmetric in a couple of the panels above... |
👍 So, reading left to right and top to bottom for panels abcdef: a) raw classifications agree pretty well but i) features are more likely to be picked up in rest-frame bluer colors and/or higher-resolution images, and ii) the GZC raw votes have very few f_feat > 0.8 galaxies. Does all that sound about right? Note I haven't read the text around this figure yet :) |
It's actually not in the paper yet. Although I think that's one of |
Indeed. By the way 'I didn't find your code on the repo' is beautifully subtle snark. Shame, @vrooje, shame. |
That's because my code was in a different repo! (@vrooje frantically moves it to the paper repo and pushes it) |
This looks like a really nice comparison, and nice to demonstrate 'morphological k-correction' issue (although, as @vrooje says, disentangling this would be a bit tricky as each survey uses different filter sets). 👍 for putting this in the paper. How are you selecting galaxies for inclusion in the lower panels? Relaxing this to give more galaxies might help appearance. |
For the panels on the bottom row:
The easiest way to include more galaxies is by relaxing the restriction on the number of votes, but I do want to make sure that they're reasonably sampled. I could try again with I'm glad there's interest in putting this figure in the paper, but we'll need to flesh out the end of 7.2 a little bit (or make its own section). It'll need some explanation about why the vote fractions are different and potentially some comments about how to properly compare data from the two sets. |
I agree with other comments that this would be a good addition. It's reassuring they agree so well given the different wavelength ranges they cover. Any chance to look at bars? Not essential for this draft, I'm just curious to see how it looks. Or was that already in @vrooje paper? |
Nope, I didn't look solely at bars; I think that would be really interesting. |
Agreed on the interesting part; I will probably vote to push that to a later, bar-focused paper just in the interests of time constraints. |
Bars in this sample would make a very interesting follow-up... |
Just a note: I know this didn't make it into the initial submission, but if the referee asks for any more detail on GZH vs. GZC, I'd be in favor (sorry @chrislintott, "in favour") of adding the figure above and another paragraph or so into the manuscript. |
The referee didn't ask about this, right? |
Correct. |
Do we still want to add it? Seems like it's opening us up to another round of refereeing, but it is potentially useful information. |
Second paper? I think including it if not asked to by the referee is dangerous, and this could be a nice short paper on morphological k-correction on its own.... |
I think I'll vote for pausing it for now, since I think we really need to On Fri, Aug 12, 2016 at 4:33 AM karenlmasters [email protected]
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Question for both @vrooje and @willettk to attack, for those galaxies that have classifications in both. It'd be very useful to show that we're at least (hopefully) internally consistent with the GZ vote fractions.
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