SZ, CIB and Lensing Simulations for S4 Marcelo Alvarez, Dick Bond, George Stein Large-Scale Structure Simulation and Map Synthesis
Alex van Engelen Lensing
Nick Battaglia Cluster Profiles
Julian Borrill & Andrea Zonca End-to-end Sky Model Integration
SZ, CIB and Lensing Simulations for S4 Primary
SZ, CIB and Lensing Simulations for S4 Primary
SZ, CIB and Lensing Simulations for S4 Primary
+ CIB @ 30 - 1000 GHZ
+
Compton-y
Lensing
+
Performance & Efficiency
Available Currently
volume and resolution 163 Gpc3 at 81923
Multi-frequency CIB @ Nside = 2048
CIB @ 30 - 1000 GHZ
minimum halo mass 1013 Msun/h
+
run time 5000 cpu hrs memory footprint 2 TB fully sky coverage 0 < z < 4.5
10
100
GHz
1000
Cluster / group kSZ and tSZ Halo catalog of [RA, DEC, v, zspec, Mh,] Uncorrelated patchy kSZ & 21cm from EoR
PySM Integration https://github.com/zonca/pysm_interpolating_component
Data Location cluster data sets available @NERSC: /project/projectdirs/cmb subsets of catalogs and maps w/ eor http://mocks.cita.utoronto.ca
import pysm nside = 64 sky_config = {'synchrotron':models("s1", nside), 'dust':models("d1", nside),'cmb':models(“c1", nside)} sky = pysm.Sky(sky_config) cib = InterpolatingComponent(path="cib_maps", input_units="MJysr", target_nside=nside) sky.add_component("cib", cib) map=sky.cib(21.) # return CIB at 21 GHz in uK_RJ
