MIRAGE simulated NIRCam images of the galaxy cluster MACS0647+70 and the triply-lensed z=11 candidate MACS0647-JD. This cluster simulation is meant to complement simulated blank field data from JADES and CEERS. Plus I provide analysis tools for the NIRCam imaging.
JWST GO 1433 public data upcoming Nov 2022
7 filters: F115W F150W F200W F277W F356W F444W F480M
0.04" / pixel image reductions (native SW ~0.03", LW ~0.06")
slight misalignments between short and long wavelength images
4 dithers INTRAMODULEX cover short wavelength detector gaps
F200W has 2 epochs (8 exposures)
Galaxies modeled as Sersic profiles derived from CLASH HST F160W images
NIRCam predicted fluxes from BAGPIPES SED fitting to CLASH HST 17-band photometry
✔ HST catalog & Sersic fits – (Astropy.photutils, Astropy.modeling)
✔ NIRCam predicted fluxes in each filter – (BAGPIPES)
✔ NIRCam simulated images – (MIRAGE)
✔ Processed & combined – (JWST Pipeline; CEERS tips & scripts)
✔ Color images – (Trilogy: updated for Python 3 notebook)
✔ NIRCam detections – (Astropy.photutils)
✔ NIRCam PSF-matched multiband photometry – (Astropy.photutils)
✔ Inspect NIRCam photometry
To do list:
? Add lensed fainter & higher-z galaxies – (e.g., Aaron Yung SAMs)
☐ Incorporate HST images to photometry + SED fitting
☐ Galaxy detection & analysis – (Astropy.photutils, BAGPIPES)
☐ Distinguish stars (brown dwarfs) from galaxies (as in LePhare)
Inputs:
Output image pixel size choice 0.04":
- Similar to strategy adopted for HST 0.06" reductions (native ACS 0.05", WFC3/IR 0.13")
- With 4 dithers, can almost improve resolution 2x with some artifacts; 0.06" -> 0.04" is smooth
- Higher resolution 0.02" pixel images may also be desirable especially for SW images
https://stsci.box.com/v/coe-nircam-mirage
https://github.com/dancoe/mirage
https://dancoe.space/jwst/simulations
