Data ProductsΒΆ
The following data products related to this package are available for download from SLAC:
| Filename | Size (Mb) | Description |
|---|---|---|
| OneDegSq.fits.gz | 81.4 | Input LSST DM galaxy catalog covering 1 sq.deg. |
| LSST_i.fits.gz | 235.0 | Simulated LSST i-band at full depth covering 1 chip |
| LSST_r.fits.gz | 282.9 | Simulated LSST r-band at full depth covering 1 chip |
| DES_i.fits.gz | 77.4 | Simulated DES i-band at full depth covering same area |
| DES_r.fits.gz | 85.0 | Simulated DES r-band at full depth covering same area |
| LSST_i_trimmed.fits.gz | 27.3 | Trimmed simulation results without per-object datacubes |
| LSST_r_trimmed.fits.gz | 30.8 | Trimmed simulation results without per-object datacubes |
| DES_i_trimmed.fits.gz | 11.9 | Trimmed simulation results without per-object datacubes |
| DES_r_trimmed.fits.gz | 12.9 | Trimmed simulation results without per-object datacubes |
All files are in compressed FITS format and should be uncompressed after downloading:
gunzip *.fits.gz
The commands used to generate the OneDegSq.fits catalog are described here. The following commands were used to run the LSST and DES simulations:
nohup ./simulate.py --catalog-name OneDegSq.fits --survey-name LSST --filter-band i --output-name LSST_i > LSST_i.log &
nohup ./simulate.py --catalog-name OneDegSq.fits --survey-name LSST --filter-band r --output-name LSST_r > LSST_r.log &
nohup ./simulate.py --catalog-name OneDegSq.fits --survey-name DES --filter-band i --output-name DES_i > DES_i.log &
nohup ./simulate.py --catalog-name OneDegSq.fits --survey-name DES --filter-band r --output-name DES_r > DES_r.log &
The resulting FITS files were then trimmed to remove the individual object datacubes using:
import astropy.io.fits
for name in ('LSST_i','LSST_r','DES_i','DES_r'):
hdus = astropy.io.fits.open(name+'.fits')
del hdus[2:]
hdus.writeto(name+'_trimmed.fits')
hdus.close()