# First, here is the actual correlation function values. # The bins are 4 Mpc wide from 10 to 30 Mpc, then 10 Mpc wide out to 180. # # 1) Center of bin # 2) Spherically averaged, redshift-space correlation function # Strictly speaking, this is the average of xi(s) over the spherical annulus in separation. # 3) Jackknife error (sqrt(10-1) times rms) # 4-13) jackknife'd xi(s) # We subdivide the survey into 10 pieces, compact on the sky, # and then removing 1 at a time. These are the recomputed xi(s). # 12 1.050688 0.037593 1.059385 1.055135 1.051959 1.057353 1.041522 1.022934 1.039085 1.057708 1.050313 1.065594 16 0.593115 0.020760 0.587905 0.587195 0.592132 0.604987 0.596353 0.584144 0.586966 0.597181 0.595695 0.603124 20 0.399047 0.019772 0.406451 0.401099 0.398788 0.402856 0.398268 0.391592 0.396281 0.404703 0.386876 0.407902 24 0.248492 0.019169 0.260017 0.248669 0.248784 0.249859 0.253292 0.235335 0.242727 0.248592 0.246793 0.250812 28 0.177367 0.012380 0.184725 0.180180 0.178203 0.179564 0.177951 0.168682 0.175285 0.177994 0.176150 0.178286 35 0.101192 0.010088 0.105561 0.103228 0.103260 0.103842 0.102606 0.095679 0.100142 0.095605 0.101330 0.101284 45 0.058297 0.007652 0.061057 0.058153 0.057565 0.062557 0.057827 0.054275 0.059928 0.058238 0.055130 0.056821 55 0.033700 0.006941 0.037667 0.032365 0.032860 0.034826 0.033107 0.029952 0.035905 0.031170 0.031365 0.033069 65 0.022402 0.005959 0.026339 0.022475 0.021862 0.021462 0.020600 0.020832 0.025085 0.021958 0.019957 0.022038 75 0.014594 0.003270 0.016589 0.015805 0.013577 0.013892 0.013176 0.013908 0.015003 0.015024 0.014046 0.014735 85 0.008498 0.004445 0.009865 0.009455 0.007571 0.006805 0.008629 0.009439 0.010612 0.006478 0.006858 0.009855 95 0.009644 0.002786 0.009880 0.010316 0.009064 0.008893 0.009236 0.009477 0.011107 0.008840 0.007692 0.009916 105 0.010564 0.003372 0.011347 0.011003 0.010274 0.010497 0.009686 0.011933 0.011189 0.009589 0.008107 0.010643 115 0.006611 0.002634 0.006276 0.007104 0.006396 0.005786 0.005998 0.007579 0.007769 0.006417 0.004975 0.006525 125 0.004556 0.003133 0.004655 0.004582 0.004570 0.003979 0.003751 0.006584 0.004177 0.004015 0.002654 0.004637 135 -0.000151 0.002439 -0.000434 -0.000298 -0.000124 0.000356 -0.000593 0.001528 -0.000389 -0.001452 -0.000874 -0.000095 145 0.000426 0.001481 0.000394 0.000251 0.000303 0.000270 0.000453 0.001414 0.000218 -0.000485 0.000123 0.000369 155 -0.000094 0.001232 -0.000267 -0.000378 -0.000616 -0.000983 0.000521 0.000143 0.000154 -0.000420 -0.000551 -0.000269 165 0.001366 0.002709 0.001255 0.001662 0.001332 0.001126 0.003098 0.000642 0.001163 -0.000339 0.000537 0.001705 175 0.000041 0.002740 0.000495 0.000022 0.000170 -0.000384 0.001180 -0.000232 -0.001247 -0.001885 0.000191 0.000714 # # # # Next here is the covariance matrix, based on 1278 mock catalogs. # We are also supplying the inverse of the covariance matrix. # First, here are the square root of the diagonal elements # (covariance matrix, then inverse). # # bounds rcovdiag ricovdiag # 12 0.06948 37.05 16 0.0402 70.56 20 0.02609 94.45 24 0.018 121.8 28 0.01371 139.6 35 0.008561 224.4 45 0.006465 285 55 0.005241 340.7 65 0.004622 392.6 75 0.004009 457.1 85 0.003505 507.5 95 0.003249 555.1 105 0.002978 608.2 115 0.002767 629.9 125 0.0026 672.8 135 0.002408 723.7 145 0.002297 745.7 155 0.002117 820.5 165 0.002046 832.7 175 0.001967 723.9 # # Next, here are the reduced matrices: # Reduced Covariance matrix 1.000000 0.913147 0.851443 0.778793 0.671583 0.561072 0.350390 0.197342 0.084864 0.043828 0.053689 0.032008 0.054638 0.018674 0.021381 0.003257 -0.024428 -0.053205 -0.021922 0.002060 0.913147 1.000000 0.879129 0.801240 0.698939 0.585914 0.374846 0.226327 0.127676 0.079249 0.069109 0.040458 0.055760 0.035275 0.033534 0.022318 -0.008189 -0.034998 -0.018270 0.000285 0.851443 0.879129 1.000000 0.834925 0.741155 0.635052 0.423406 0.259716 0.146444 0.077910 0.073821 0.031846 0.043204 0.014429 0.039196 0.023593 -0.007231 -0.031652 0.005902 0.000972 0.778793 0.801240 0.834924 1.000000 0.799575 0.700640 0.498495 0.316552 0.209632 0.138590 0.121273 0.060954 0.062991 0.042300 0.039305 0.035103 -0.030704 -0.057021 -0.025793 -0.012981 0.671583 0.698939 0.741155 0.799575 1.000000 0.754659 0.561579 0.393658 0.279771 0.208685 0.162439 0.111667 0.094727 0.062000 0.062857 0.050615 -0.020798 -0.051086 -0.035037 -0.028965 0.561072 0.585914 0.635052 0.700640 0.754659 1.000000 0.732784 0.538471 0.423272 0.321077 0.262177 0.176400 0.142451 0.102239 0.071905 0.053076 -0.016907 -0.038860 -0.034456 -0.039950 0.350390 0.374846 0.423406 0.498495 0.561579 0.732784 1.000000 0.732387 0.593746 0.482796 0.382117 0.267695 0.214705 0.169192 0.135776 0.103573 0.041254 0.019094 -0.004711 -0.018507 0.197342 0.226327 0.259716 0.316552 0.393658 0.538471 0.732387 1.000000 0.740431 0.604530 0.478101 0.374400 0.284296 0.221382 0.173993 0.120755 0.080525 0.039445 -0.012864 -0.021322 0.084864 0.127676 0.146444 0.209632 0.279771 0.423272 0.593746 0.740431 1.000000 0.746726 0.572101 0.444773 0.330701 0.273632 0.228724 0.167647 0.126101 0.068169 0.021940 0.008567 0.043828 0.079249 0.077910 0.138590 0.208685 0.321077 0.482796 0.604530 0.746726 1.000000 0.727296 0.569223 0.411826 0.321062 0.256268 0.207729 0.171820 0.081547 0.067918 0.031977 0.053689 0.069109 0.073821 0.121273 0.162439 0.262177 0.382117 0.478101 0.572101 0.727296 1.000000 0.731722 0.568127 0.426172 0.331670 0.264302 0.216850 0.136882 0.080236 0.051637 0.032008 0.040458 0.031846 0.060954 0.111667 0.176400 0.267695 0.374400 0.444773 0.569223 0.731722 1.000000 0.734942 0.555734 0.433868 0.331148 0.269926 0.189320 0.099947 0.087463 0.054638 0.055760 0.043204 0.062991 0.094727 0.142451 0.214705 0.284296 0.330701 0.411826 0.568127 0.734941 1.000000 0.726138 0.579106 0.424448 0.344693 0.265922 0.176772 0.139834 0.018674 0.035275 0.014429 0.042300 0.062000 0.102239 0.169192 0.221382 0.273632 0.321062 0.426172 0.555734 0.726138 1.000000 0.721332 0.561663 0.446888 0.335270 0.201687 0.162873 0.021381 0.033534 0.039196 0.039305 0.062857 0.071905 0.135776 0.173993 0.228724 0.256268 0.331670 0.433868 0.579106 0.721332 1.000000 0.718587 0.563873 0.414760 0.276834 0.206942 0.003257 0.022318 0.023593 0.035103 0.050615 0.053076 0.103573 0.120755 0.167647 0.207729 0.264302 0.331148 0.424448 0.561663 0.718587 1.000000 0.721539 0.548620 0.381792 0.300578 -0.024428 -0.008189 -0.007231 -0.030704 -0.020798 -0.016907 0.041254 0.080525 0.126101 0.171820 0.216850 0.269926 0.344693 0.446888 0.563873 0.721539 1.000000 0.698919 0.497628 0.391830 -0.053205 -0.034998 -0.031652 -0.057021 -0.051086 -0.038860 0.019094 0.039445 0.068169 0.081547 0.136882 0.189320 0.265922 0.335270 0.414760 0.548620 0.698919 1.000000 0.705650 0.540097 -0.021922 -0.018270 0.005902 -0.025793 -0.035037 -0.034456 -0.004711 -0.012864 0.021940 0.067918 0.080236 0.099947 0.176772 0.201687 0.276834 0.381792 0.497628 0.705650 1.000000 0.706750 0.002060 0.000285 0.000972 -0.012981 -0.028965 -0.039950 -0.018507 -0.021322 0.008567 0.031977 0.051637 0.087463 0.139834 0.162873 0.206942 0.300578 0.391830 0.540097 0.706750 1.000000 # # Reduced Inverse Covariance matrix 1.000000 -0.634629 -0.180365 -0.093820 0.001667 -0.007622 0.001057 -0.005988 0.069202 0.027921 -0.013299 -0.008975 -0.049979 0.027165 -0.008454 0.024710 -0.012150 0.038165 0.004515 -0.032176 -0.634629 1.000000 -0.359709 -0.108266 -0.038624 0.002844 0.040790 0.014413 -0.026348 -0.049940 0.031565 0.002333 0.017541 -0.050444 0.031236 -0.005580 -0.004228 -0.043444 0.048236 -0.008821 -0.180365 -0.359710 1.000000 -0.281711 -0.118099 -0.062813 -0.002600 -0.017748 -0.000877 0.059314 -0.016879 0.005654 0.007071 0.061439 -0.059666 0.031041 -0.030747 0.019530 -0.077283 0.040287 -0.093821 -0.108265 -0.281711 1.000000 -0.328395 -0.136398 -0.051654 0.033944 -0.008119 0.017470 -0.035070 0.032273 0.013892 -0.028981 0.025372 -0.048658 0.034869 0.024726 0.002096 -0.021283 0.001668 -0.038624 -0.118099 -0.328395 1.000000 -0.323051 -0.037334 -0.026359 0.019414 -0.033472 0.042502 -0.028832 0.000206 0.023111 -0.018058 -0.028942 0.016138 0.009685 0.012690 0.001065 -0.007622 0.002844 -0.062814 -0.136398 -0.323051 1.000000 -0.419529 -0.020560 -0.048494 0.023781 -0.018422 -0.000058 -0.001728 -0.019801 0.035201 -0.009483 0.023105 0.002331 -0.007241 0.021371 0.001057 0.040790 -0.002600 -0.051654 -0.037334 -0.419529 1.000000 -0.419082 -0.063717 -0.042851 -0.023716 0.049386 -0.007085 -0.003822 -0.005777 -0.013830 0.025151 -0.025414 -0.004519 0.003426 -0.005988 0.014413 -0.017748 0.033944 -0.026359 -0.020560 -0.419082 1.000000 -0.405040 -0.059603 -0.001727 -0.032851 -0.012985 0.002270 0.004823 0.026549 -0.010396 -0.030123 0.042059 0.005970 0.069202 -0.026348 -0.000877 -0.008119 0.019413 -0.048494 -0.063717 -0.405040 1.000000 -0.440292 -0.024442 0.004067 0.019858 -0.011823 -0.045230 0.016025 0.007621 -0.021978 0.033389 -0.019200 0.027922 -0.049940 0.059314 0.017470 -0.033472 0.023781 -0.042851 -0.059603 -0.440292 1.000000 -0.414848 -0.086065 0.042829 0.005291 0.016411 -0.013422 -0.050009 0.098892 -0.089558 0.023697 -0.013299 0.031565 -0.016879 -0.035070 0.042502 -0.018422 -0.023716 -0.001727 -0.024442 -0.414848 1.000000 -0.411692 -0.080507 0.007527 0.023086 -0.010888 -0.007284 -0.011205 0.004726 0.015630 -0.008975 0.002333 0.005654 0.032273 -0.028832 -0.000058 0.049386 -0.032851 0.004067 -0.086066 -0.411692 1.000000 -0.447941 -0.034050 0.009385 -0.007250 0.000177 -0.024295 0.060394 -0.029304 -0.049980 0.017542 0.007071 0.013892 0.000206 -0.001728 -0.007085 -0.012985 0.019858 0.042829 -0.080507 -0.447941 1.000000 -0.420566 -0.111713 0.045170 0.015969 -0.000760 -0.046564 0.002811 0.027165 -0.050444 0.061439 -0.028981 0.023111 -0.019801 -0.003822 0.002270 -0.011823 0.005291 0.007527 -0.034050 -0.420566 1.000000 -0.393318 -0.069949 -0.014791 -0.027792 0.046309 -0.010423 -0.008454 0.031236 -0.059666 0.025372 -0.018058 0.035201 -0.005777 0.004823 -0.045230 0.016411 0.023085 0.009385 -0.111713 -0.393318 1.000000 -0.422931 -0.065096 0.017850 -0.016032 0.031130 0.024710 -0.005580 0.031041 -0.048658 -0.028942 -0.009483 -0.013830 0.026549 0.016025 -0.013422 -0.010888 -0.007250 0.045170 -0.069949 -0.422932 1.000000 -0.422386 -0.068964 0.005127 -0.014691 -0.012150 -0.004228 -0.030747 0.034870 0.016138 0.023105 0.025151 -0.010396 0.007621 -0.050009 -0.007284 0.000177 0.015969 -0.014791 -0.065096 -0.422386 1.000000 -0.412141 -0.001125 -0.021295 0.038165 -0.043444 0.019530 0.024726 0.009685 0.002331 -0.025414 -0.030123 -0.021978 0.098892 -0.011205 -0.024295 -0.000761 -0.027792 0.017851 -0.068964 -0.412140 1.000000 -0.457406 -0.052478 0.004515 0.048236 -0.077283 0.002096 0.012690 -0.007241 -0.004519 0.042059 0.033390 -0.089558 0.004726 0.060394 -0.046564 0.046309 -0.016033 0.005128 -0.001125 -0.457406 1.000000 -0.544744 -0.032176 -0.008821 0.040287 -0.021283 0.001065 0.021371 0.003426 0.005970 -0.019200 0.023697 0.015630 -0.029304 0.002811 -0.010423 0.031130 -0.014691 -0.021295 -0.052478 -0.544744 1.000000