This is an old revision of the document!
You are not allowed to add pages
KiDS Strong Lensing
Status (last updated 25 Apr 2014)
“No KiDS Lens No Glory”
Preparing for the May 1-2, 2014 meeting at Kapteyn. Euclid SLWG lens finding specialists will then apply their strong lens finding tools to KiDS data.
KiDS testset for lens finding
We have prepared a few datapacks:
Set | Datapack | HumVI rgb | Cut-out view | Description |
---|---|---|---|---|
KiDS-START | KiDS-START.tar | in KiDS-START.tar | cutouts.html | Hand-picked start set |
KiDS-HIGHZ-LRG | KiDS-HIGHZ-LRG.tar | KiDS-HIGHZ-LRG.HumVI.tar newscale | cutouts.html | Photometrically selected z>0.4 Luminous Red Galaxies |
KiDS-LOWZ-LRG | KiDS-LOWZ-LRG.tar | KiDS-LOWZ-LRG.HumVI.tar | cutouts.html | Photometrically selected z<0.4 Luminous Red Galaxies |
KiDS-QSO | soon: Photometrically selected QSOs | |||
KiDS-TEST | KiDS-TEST.tar | KiDS-TEST.HumVI.tar | cutouts.html | test set using z>0.4 LRG selection. |
KiDS-TEST-LARGE-GAL | KiDS-TEST-LARGE-GAL.tar | KiDS-TEST-LARGE-GAL.HumVI.tar | cutouts.html | test set using z<0.4 LRG selection to obtain angularly larger galaxies. |
KiDS-TEST-QSO | KiDS-TEST-QSO.tar | KiDS-TEST-QSO.HumVI.tar | cutouts.html | Photometrically selected QSOs |
KiDS-TEST-RANDOM | KiDS-TEST-RANDOM.tar | KiDS-TEST-RANDOM.HumVI.tar | cutouts.html | Random locations around HIGHZ-LRG candidates. |
KiDS-BLUEPAIRS | KiDS-BLUEPAIRS.tar | in KiDS-BLUEPAIRS.tar | Blue Pairs | |
KiDS-PSF | PSF_KiDS.tar | FITS images of (hopefully representative) KiDS PSF models (based on shapelets) |
General description datapacks
Each datapack contains:
- README.txt (general summary information)
- <datapackname>.pdf (more detailed information)
- per source cut-outs of coadd images and of associated weight images in the 4 KiDS filters u, g, r and i.
- size 100pix x 100pix = 20” x 20”
- naming convention: <KiDS_tilename><radecOfSource><filtername><SLIDSIDofSourceList><r if random>__<size>.fits/weight.fits
- SLID, SID are SourceList and Source IDentifiers in Astro-WISE system.
- character r is appended if it are random cut-outs instead of centered on candidate sources
- size is in pixel units (0.2”/pix)
- Units coadd images: mag=-2.5*log10(pixelvalue)
- units weight images: inverse variance images using same unit convention as coadd images (only background noise!).
- png thumbnails and cutouts.html (for browser view on cutouts)
- may2014meeting.py: python code used to generate datapack from Astro-WISE python prompt.
Content to be added next:
- color images
KiDS-LOWZ-LRG datapack description
We have prepared a set of 5322 LRG candidates. Selection is aimed to get z<~0.4 luminous red galaxies. They are selected photometrically in 69 KiDS tiles (each approx. 1sq.deg.) The photometric selection is based on the BOSS LOWZ selection, adapted to KiDS:
- |c_perp| < 0.2
- r < 13.5 + c_par/0.3
- 16 < r < 19.6
- SGCLASS_r==2 (means extended object in r)
where magnitudes are in 10 and 2 arcsec diameter apertures and we have used the following auxiliary colors:
- cpar = 0.7(g - r) + 1.2[(r - i) - 0.18)]
- cperp = (r - i) - (g - r)/4.0 - 0.18
KiDS-HIGHZ-LRG datapack description
We have prepared a set of 7409 LRG candidates. They are selected photometrically in 80 KiDS tiles (each approx. 1sq.deg.)
The photometric selection is based on the BOSS CMASS selection, adapted to KiDS:
- dperp > 0.55 (with dperp = (r-i) - (g-r)/8.0, and all magnitudes in 2arcsec apertures)
- i < 19.86+ 1.6(dperp - 0.8)
- 17.5 < i < 19.9
- r - i < 2
- SGCLASS_r==2 (means extended object in r)
KiDS-TEST-QSO datapack description
We have prepared a testset of 5557 QSO candidates. Selection is aimed to get 0.5<z<2 QSOs. They are selected photometrically in 37 KiDS tiles (each approx. 1sq.deg.) The photometric selection is:
- SGCLASS_r==1 (means point source in r)
- 0.0<u-i<1.0
- r<22.0
where magnitudes are in 2 arcsec diameter apertures.
KiDS-TEST datapack description
We have prepared a testset for 564 LRG candidates. They are selected photometrically in 5 KiDS tiles (each approx. 1sq.deg.)
The photometric selection is same as HIGHZ-LRG datpack (see above).
KiDS-TEST-LARGE-GAL datapack description
We have prepared a testset for 810 LRG candidates. Selection is same as KiDS-LOWZ-LRG (see above)
KiDS-TEST-RANDOM datapack description
We have prepared a testset for 472 “random” KiDS locations. These are cut-outs centered on points uniformly selected in a square box of 1arcmin size around HIGHZ-LRG candidate locations in 5 KiDS tiles.
KiDS-PSF datapack description
Konrad Kuijken has modeled the PSFs in u, g, r and i for one KiDS tile. Each at 5 locations in the FoV. Model is based on shapelet analysis. Hopefully they are representative enough in this early phase to test lens-finding tools on KiDS data.
See release note at KiDS-ESO-DR1 Consortium Portal for a typical distribution of seeing in KiDS data.
Input KiDS area
We can use 173 tiles (~173 sq.deg.) in the KiDS area that have completed coverage (i.e., u,g,r and i). This set is called KiDS-INT-DR3.
- KiDS-INT-DR3 Consortium Portal for more details
- AI: JdJ/GVK: 140319: one coadd missing, KiDS-INT-DR3 sourcelists missing.
Handy links / references
- KiDSLensFinding shared GoogleDoc
- Euclid SLWG wiki on redmine
- may2014meeting.py Astro-WISE python script to make datapacks