| 1 | #####################################################################################
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| 2 | #### Commands to run the different programs to produce foreground maps
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| 3 | #### and compute radio-source subtracted P(k)
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| 4 | #####################################################################################
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| 5 |
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| 6 | ### Cube definition in file cubedef.h
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| 7 |
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| 8 | ### Step 1/ Produce an LSS data cube with appropriate size and redshift using SimLSS
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| 9 | # 1.a/ Run SimLSS
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| 10 | csh> ~/Objs/exe/cmvginit3df -a -1 -2 -C -G 0. -F 0 -x 360,4 -y 360,4 -z 128,5 -Z 0.6 -8 1. -n 10000 -O 0,2 -o map3dz06B -T 2
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| 11 | # 1.b/ Change the X and Z axis of the cube to adapt it to RadioBeam package convention
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| 12 | # SimLSS output : the radial (redshift) direction along X axis of the cube (TArray)
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| 13 | # RadioBeam cubes : the radial (redshift) direction along Z axis of the cube (TArray)
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| 14 | # Execucte the following script in spiapp :
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| 15 |
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| 16 | csh> cat > racube.pic
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| 17 | set f map3dz06B
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| 18 | readfits ${f}_r.fits
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| 19 | rename ${f}_r map
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| 20 | print map
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| 21 | c++exec \
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| 22 | TArray<r_4> omap(map.SizeY(),map.SizeZ(),map.SizeX()-2 ); \
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| 23 | for(sa_size_t i=0;i<omap.SizeX();i++) \
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| 24 | for(sa_size_t j=0;j<omap.SizeY();j++) \
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| 25 | for(sa_size_t k=0;k<omap.SizeZ();k++) \
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| 26 | omap(i,j,k)=map(k+1,i,j); \
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| 27 | KeepObj(omap);
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| 28 |
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| 29 | print omap
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| 30 | saveppf omap lsscube.ppf
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| 31 |
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| 32 | csh> spiapp -term -exec lsscube.ppf
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| 33 |
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| 34 | ## Step 2/ Produce synchrotron and radio source sky cubes (cube unit is Temparature- Kelvin)
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| 35 | # 2.a/ Synchrotron map from HASLAM 400 MHz map
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| 36 | csh> ./Objs/syncube syncmap_eq.fits syncube.ppf
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| 37 | # 2.b/ radio source cube from NVSS catalog
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| 38 | csh> ./Objs/srcat2cube nvss.fits nvsscube.ppf
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| 39 | # 2.c/ Add the two cubes using the following spiapp script
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| 40 | csh> cat > sumcubes.pic
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| 41 | openppf syncube.ppf
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| 42 | openppf nvsscube.ppf
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| 43 | expmeansig syncube val
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| 44 | expmeansig nvsscube val
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| 45 | c++exec TArray<r_4> fgndcube = syncube+nvsscube; KeepObj(fgndcube);
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| 46 | print fgndcube
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| 47 | expmeansig fgndcube val
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| 48 | saveppf fgndcube fgndcube.ppf
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| 49 |
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| 50 | csh> spiapp -term -exec sumcubes.pic
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| 51 |
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| 52 | ## Step 3/ Apply lobe effect on foreground cube and LSS cube
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| 53 | csh> ./Objs/applobe fgndcube.ppf fgndcube_lobe.ppf
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| 54 | csh> ./Objs/applobe lsscube.ppf lsscube_lobe.ppf
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| 55 |
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| 56 | ### Step 4/ Compute power spectra
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| 57 | ## mass to temperature converion factor CT21 ~= 0.2 mK
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| 58 | ## Foreground maps are in temperature
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| 59 | ## Noise fluctuations Sigma^2 ~ T_sys^2 / t_obs * DeltaFreq
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| 60 | ## Tsys ~ 50 K , DeltaFreq ~ 0.5 MHz , t_obs ~ 1 day ~ 80 000 s.
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| 61 | ## sigma_noise ~ 0.25 mK
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| 62 | # 4.a/ LSS power spectrum without noise
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| 63 | csh> ./Objs/calcpk lsscube.ppf lsspk.ppf 0.2
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| 64 | # and with noise
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| 65 | csh> ./Objs/calcpk lsscube.ppf lsspkwn.ppf 0.2 0.25
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| 66 | # with the lobe effect
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| 67 | csh> ./Objs/calcpk lsscube_lobe.ppf lsspklobe.ppf 0.2
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| 68 | # 4.b/ Foreground power spectrum
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| 69 | csh> ./Objs/calcpk fgndcube.ppf fgndpk.ppf 1000
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| 70 | csh> ./Objs/calcpk fgndcube_lobe.ppf fgndpklobe.ppf 1000
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| 71 |
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| 72 | # 4.c/ Extract LSS P(k) from Foreground+LSS+noise , after cleaning/subtraction without beam
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| 73 | csh> ./Objs/calcpk2 lsscube.ppf 0.2 fgndcube.ppf 1000 subpk.ppf 0.25
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| 74 | # 4.d / Extract LSS P(k) from Foreground+LSS+noise and beam effect
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| 75 | csh> ./Objs/calcpk2 lsscube_lobe.ppf 0.2 fgndcube_lobe.ppf 1000 subpklobe.ppf 0.25
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| 76 |
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| 77 | ### Step 5 / Check the results using spiapp
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| 78 | openppf fgndpk.ppf
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| 79 | openppf lsspk.ppf
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| 80 | openppf lsspkwn.ppf
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| 81 | openppf lsspklobe.ppf
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