I wish to generate mock stellar images of TNG50 subhalos. Going through the documentation and previous discussions, I found I can use the SKIRT images catalogue (https://www.tng-project.org/data/docs/specifications/#sec5l). The pixel scale in these images is generated at z = 0.0485 and I wish to obtain this at a lower redshift say at Virgo cluster distance. How can I vary the pixel scale to another redshift?
I also tried to generate mock images based on the stellar magnitude of star particles loading their stellar photometry 'GFM_StellarPhotometrics'. How can I convert the stellar magnitudes to counts per particle/pixel?
Again going through the previous discussions (https://www.tng-project.org/data/forum/topic/304/converting-mock-image-counts-to-flux-magnitudes/), I found that you have suggested zero point for sdss g band magnitude as : fluxmag0_gband = 2.40238e+10
Using the expression from the above discussion : flux_counts = 10**(np.log10(fluxmag0_gband) - AB_gbandsss/2.5)
where AB_gbandsss is the stellar sdss g band magnitude from GFM_StellarPhotometrics.
For TNG50 subhalo id 17, in sdss g band, I am getting flux_counts of stellar particles as of the order of : array([5.4073271e+12, 3.8558203e+12, 3.1230253e+12, ..., 8.3974533e+12, 5.6399846e+12, 1.5906978e+13], dtype=float32).
It seems that these values are quite huge enough to be considered counts/s. Sorry if I am missing something obvious.
Thanks for your response.
Regards
Avinash
Dylan Nelson
27 Jul
The "(l) SKIRT Synthetic Images and Optical Morphologies" catalog is a dataset which is available - if it is useful, you can use it. However, there is no easy way to change any part of it, as this was a lot of computational and practical work. If you want to make different stellar mock images, as you say you can create your own, either (a) using a code like SKIRT, or (b) doing it more by-hand, using the stored magnitudes of star particles and/or other stellar library models like BC03 or FSPS to calculate the luminosity of each star particle in the band(s) you are interested in.
Dear Dylan,
I wish to generate mock stellar images of TNG50 subhalos. Going through the documentation and previous discussions, I found I can use the SKIRT images catalogue (https://www.tng-project.org/data/docs/specifications/#sec5l). The pixel scale in these images is generated at z = 0.0485 and I wish to obtain this at a lower redshift say at Virgo cluster distance. How can I vary the pixel scale to another redshift?
I also tried to generate mock images based on the stellar magnitude of star particles loading their stellar photometry 'GFM_StellarPhotometrics'. How can I convert the stellar magnitudes to counts per particle/pixel?
Again going through the previous discussions (https://www.tng-project.org/data/forum/topic/304/converting-mock-image-counts-to-flux-magnitudes/), I found that you have suggested zero point for sdss g band magnitude as :
fluxmag0_gband = 2.40238e+10Using the expression from the above discussion :
flux_counts = 10**(np.log10(fluxmag0_gband) - AB_gbandsss/2.5)where AB_gbandsss is the stellar sdss g band magnitude from GFM_StellarPhotometrics.
For TNG50 subhalo id 17, in sdss g band, I am getting flux_counts of stellar particles as of the order of :
array([5.4073271e+12, 3.8558203e+12, 3.1230253e+12, ..., 8.3974533e+12, 5.6399846e+12, 1.5906978e+13], dtype=float32).It seems that these values are quite huge enough to be considered counts/s. Sorry if I am missing something obvious.
Thanks for your response.
Regards
Avinash
The
"(l) SKIRT Synthetic Images and Optical Morphologies"catalog is a dataset which is available - if it is useful, you can use it. However, there is no easy way to change any part of it, as this was a lot of computational and practical work. If you want to make different stellar mock images, as you say you can create your own, either (a) using a code like SKIRT, or (b) doing it more by-hand, using the stored magnitudes of star particles and/or other stellar library models like BC03 or FSPS to calculate the luminosity of each star particle in the band(s) you are interested in.