1 / 20

DES Cluster Simulations and the ClusterSTEP Project

DES Cluster Simulations and the ClusterSTEP Project. M.S.S. Gill (OSU / CBPF / SLAC) In collaboration with: J. Young, M.Jarvis and other DES members GREAT10 Meeting, University of Edinburgh Friday, Jan 28, 2011. Using DES simulations of 2 types:

buck
Download Presentation

DES Cluster Simulations and the ClusterSTEP Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. DES Cluster Simulations and the ClusterSTEP Project M.S.S. Gill (OSU / CBPF / SLAC) In collaboration with: J. Young, M.Jarvisand other DES members GREAT10 Meeting, University of Edinburgh Friday, Jan 28, 2011

  2. Using DES simulations of 2 types: • Our analysis of a first simulated cluster • Progressing to: ClusterSTEP

  3. II. The Dark Energy Survey (DES) Cluster Simulations DES: Probe the nature of dark energy with • Supernovae • Baryon oscillations • Clusters of galaxies • Weak gravitational lensing

  4. Our DES Cluster Simulation • All 62 chips are simulated (H. Lin and N. Kouropatkin) • Stepped up in increasing complexity: • Start with just background galaxies • Add in shear • Add in noise • Add in psf • Add in stars • Add in cluster and foreground galaxies Publically available to all at: ccapp.osu.edu/DEScluster (See Gill et al. 2009,  arXiv:0909.3856 )

  5. CLUSTER IMAGE INFORMATION • Truth Table Information contains: • (RA, DEC) and (x,y) pixel positions for each object • Redshift of galaxy objects • grizy Magnitudes • Theoretical shear for galaxy object positions • Image (only in one band): • Corresponds to truth rMagnitude • Theoretical shear convolved with intrinsic object ellipticity • Shear applied only for gamma < 0.2 (beyond ~400 pixels = 80” = 72 kpc for z=0.3), to avoid strong lensing regime. • Full plane radius: ~15k pixels (pixelscale=0.27”/pixel) [ Cluster simulation made by H. Lin and N. Kourapatkine at FNAL]

  6. APPLIED CLUSTER SHEAR Input: sigma_v = 1250 km/sec pixels pixels DES Full plane: averages of truth shears in cells inside of each CCD. Each CCD is split into equally sized 8x4 cells. Same thing but close up on cluster center

  7. SIMULATED IMAGES All images here show same part of CCD 28 – containing cluster center No Noise High Noise Low Noise Stars + Bkgd Gals Stars + Bkgd Gals Stars + Bkgd AND FrgndGals Stars + Bkgd AND FrgndGals

  8. Screen clipping taken: 2/17/2009, 2:43 AM SIS Fits to the DES simulation Shear vs. radial distance from center in pixels After PSF correction, shear matches truth within error SExtractorellip = pink solid Truth = red solid Extracted Shear = dashed

  9. Results: E-mode PROFILES # sigma away FILE REDSHIFT CORRECTION σv Fit Output Uncertainty TRUTH Z = 0.8 1212.7 0.8 Many 1.5 IMCAT Z = 0.8 1168 60 1 SHAPELETS [ RJM et al. ] Z = 0.8 1299 84 2 TRUTH Z = EXACT 1252.8 1.5 1 IMCAT Z = EXACT 1211 66 1.5 SHAPELETS Z = EXACT 1386 109 Using r-i>0.6 Color Cut Files z = exact z = 0.8 Low Noise File, bkgd gals picked by color

  10. Moving to ClusterSTEP • To test results of STEP in the high shear • Regime as would be found near clusters (g>.05) • To compare performance of modern pipelines • on cluster images and see how errors in shape • measurement in different pipelines propagate • to final mass estimate • To test several systematics(e.g. PSF model, • galaxy selection) in a controlled way on • simulated images

  11. ClusterSTEP Simulated Images • Start from R. Wechsler et al.’s full-scale N-body cosmological simulationsfor DES • Ray-traced so that shear should follow properly from realistic (NFW) cluster profiles • Resulting shear is then applied to galaxies in images

  12. Mass of simulated halos vs. redshift Randomly selected halos from catalog of 120 most massive clusters in DC5 (Choose: away from from edge, z < 1 )

  13. Example of shear results from full DECamplane Colored symbols are clusters (color  redshift, size  mass) Shear map is from truth info here This is old, get halo 2 or 6, we’ll pick just One per image, only selected ones are Good according to Matt

  14. Typical realistic DECam focal plane PSF Here: Longest whiskers are e ~ 0.01 New ones will have higher corner PSF, with ellipticityup to 0.05, may be more complex also.

  15. Variation of results with PSF variation IMCAT Vs. Truth Fits shown

  16. 16 Conclusions and Next Steps • Able to robustly reconstruct input velocity dispersion in initial simulation • Now moving to more realistic ClusterSTEP images with ray-tracing • Will get more robust answers for variation of cluster mass with differing observational conditions/cuts • Eventually plan to open this to public participation

  17. Extra Slides

  18. SIMULATION FILES SUITE Most realistic images are in red; Noise: LN ~ 1/13 * HN

  19. Full Field Simulation Model psf From stars (Imcat)

  20. Individual galaxies inside the clusters Degrees (Dec) Degrees (RA)

More Related