Galaxy u-r colour

Anindita Nandi
  • 1
  • 21 Dec '23

Hi,
I was using the catalog containing SDSS ugriz colours for TNG300-1, redshift 0. However, I could not see any bimodality in the (u-r) colour distribution(which is visible in observational data). I am not sure if I am doing any mistake.
Here is the code snippet:

hf = h5py.File('Subhalo_StellarPhot_p07c_cf00dust_res_conv_ns1_rad30pkpc_099.hdf5', 'r')
selected_key = 'Subhalo_StellarPhot_p07c_cf00dust_res_conv_ns1_rad30pkpc'
urcolour = hf[selected_key][:,0,0] - hf[selected_key][:,2,0]

Is there any other criterion ?

Dylan Nelson
  • 22 Dec '23

Perhaps you would like to select a particular stellar mass range?

Anindita Nandi
  • 22 Dec '23

At first, I was considering the whole mass range. Later I found a paper on TNG300 by you (First results from the IllustrisTNG simulations: the galaxy colour bimodality ) and took 9<log(stellar mass) < 12 . Then I got the bimodal distribution of (u-r) colour.
However, the mass distribution is not of a known particular shape ( e.g. gaussian or lognormal).
Should we consider this particular mass range to get the observed colour distribution?
Thanks!

Dylan Nelson
  • 22 Dec '23

If your goal is a comparison with data, you would want to choose the same mass range (and any other characteristics) of the data.

Anindita Nandi
  • 7 Aug

Hi,
Do the apparent magnitudes of the simulated galaxies at redshift 0 include the dust obscuration effects? In the data specification part [(k) SDSS ugriz and UVJ Photometry/Colors with Dust], it is mentioned that magnitudes are absolute for redshift 0. Are these magnitudes dust-corrected in this particular snapshot?

Dylan Nelson
  • 8 Aug

The GFM_StellarPhotometrics fields (in the original snapshots) do not consider dust in any way.

The supplementary catalog you mention, "with Dust", does, as described in the accompanying paper.

Anindita Nandi
  • 8 Aug

Okay, Thanks!

  • Page 1 of 1