Loading data/AGILE_Mstar_Mbh/DECODEmeans_Mstar_Mbh_Zou2024cc.dat 0 → 100644 +38 −0 Original line number Diff line number Diff line # Output Mstar-Mbh relation from DECODEmeans - <Mbh | Mstar,z> # Columns : 0 : log10(Mstar/Msun), 1-12 : log10(Mbh(z)/Msun) [0,0.5,1,...,5.5] 8.50000 4.26837 4.41574 4.32500 4.20560 4.39018 4.27489 4.05249 4.06062 4.04352 4.16603 4.36861 4.82500 8.61429 4.40611 4.56108 4.45569 4.33286 4.52489 4.40376 4.19418 4.19452 4.17971 4.30234 4.49774 4.94500 8.72857 4.54592 4.70791 4.58590 4.46419 4.65430 4.53268 4.33742 4.32687 4.31935 4.43925 4.62795 5.06500 8.84286 4.68788 4.85484 4.71494 4.59908 4.77680 4.66146 4.48015 4.45673 4.46110 4.57604 4.75931 5.18500 8.95714 4.83175 5.00048 4.84211 4.73702 4.89237 4.78993 4.62034 4.58319 4.60362 4.71197 4.89167 5.30500 9.07143 4.97675 5.14344 4.96672 4.87749 5.00341 4.91788 4.75596 4.70677 4.74555 4.84631 5.02480 5.42500 9.18571 5.12204 5.28234 5.08901 5.01999 5.11257 5.04515 4.88495 4.82938 4.88554 4.97888 5.15844 5.54500 9.30000 5.26680 5.41579 5.21039 5.16401 5.22246 5.17153 5.00534 4.95303 5.02225 5.11107 5.29231 5.66500 9.41429 5.41021 5.54297 5.33235 5.30904 5.33571 5.29686 5.11821 5.07971 5.15457 5.24457 5.42618 5.78500 9.52857 5.55144 5.66595 5.45640 5.45502 5.45495 5.42106 5.22950 5.21142 5.28486 5.38109 5.55984 5.90500 9.64286 5.68967 5.78772 5.58402 5.60281 5.58281 5.54632 5.34558 5.35015 5.41794 5.52232 5.69439 6.02500 9.75714 5.82443 5.91126 5.71672 5.75342 5.72191 5.67660 5.47281 5.49781 5.55868 5.66994 5.83221 6.14500 9.87143 5.95768 6.03957 5.85600 5.90784 5.87388 5.81591 5.61754 5.65520 5.71197 5.82461 5.97571 6.26500 9.98571 6.09231 6.17564 6.00334 6.06706 6.03785 5.96830 5.78616 5.82242 5.88256 5.98584 6.12700 6.38500 10.10000 6.23121 6.32245 6.15978 6.23208 6.21257 6.13778 5.98330 5.99955 6.07067 6.15302 6.28334 6.50500 10.21429 6.37727 6.48253 6.32456 6.40389 6.39679 6.32838 6.20168 6.18669 6.27093 6.32590 6.43799 6.62500 10.32857 6.53339 6.65396 6.49651 6.58325 6.58924 6.54026 6.42885 6.38373 6.47761 6.50685 6.58827 6.74500 10.44286 6.70200 6.83242 6.67447 6.76870 6.78867 6.76157 6.65236 6.58912 6.68552 6.69931 6.74763 6.86500 10.55714 6.88218 7.01356 6.85727 6.95759 6.99341 6.97816 6.85978 6.80057 6.89140 6.89819 6.92270 6.98500 10.67143 7.07139 7.19302 7.04373 7.14729 7.19578 7.17588 7.04376 7.01521 7.09175 7.09000 7.10092 7.10500 10.78571 7.26711 7.36697 7.23197 7.33513 7.38366 7.34091 7.20935 7.21691 7.27820 7.27752 7.27914 7.22500 10.90000 7.46626 7.53492 7.41923 7.51743 7.54487 7.47232 7.36343 7.37718 7.45009 7.46498 7.45737 7.34500 11.01429 7.66256 7.69770 7.60264 7.68493 7.66842 7.58614 7.51079 7.50182 7.62018 7.65244 7.63559 7.46500 11.12857 7.84861 7.85628 7.77884 7.82655 7.77164 7.69921 7.64873 7.64156 7.79027 7.83989 7.81381 7.58500 11.24286 8.02456 8.01248 7.94146 7.93880 7.89972 7.81519 7.77310 7.79263 7.96036 8.02735 7.99203 7.70500 11.35714 8.20102 8.16885 8.08402 8.05765 8.06841 7.92059 7.88101 7.94380 8.13046 8.21481 8.17025 7.82500 11.47143 8.38571 8.33225 8.22105 8.21724 8.18727 8.03287 7.97695 8.09498 8.30055 8.40226 8.34848 7.94500 11.58571 8.57003 8.50406 8.38278 8.35739 8.28012 8.19012 8.07164 8.24615 8.47064 8.58972 8.52670 8.06500 11.70000 8.71500 8.64857 8.53692 8.47276 8.46690 8.35915 8.16633 8.39732 8.64073 8.77718 8.70492 8.18500 11.81429 8.83352 8.77083 8.65739 8.66896 8.66853 8.52817 8.26102 8.54850 8.81082 8.96463 8.88314 8.30500 11.92857 8.94909 8.90607 8.80903 8.88588 8.87016 8.69720 8.35571 8.69967 8.98091 9.15209 9.06137 8.42500 12.04286 9.06438 9.04512 8.97622 9.10280 9.07179 8.86623 8.45040 8.85085 9.15100 9.33955 9.23959 8.54500 12.15714 9.17966 9.18416 9.14349 9.31972 9.27342 9.03525 8.54508 9.00202 9.32109 9.52700 9.41781 8.66500 12.27143 9.29494 9.32320 9.31076 9.53665 9.47505 9.20428 8.63977 9.15319 9.49118 9.71446 9.59603 8.78500 12.38571 9.41023 9.46225 9.47803 9.75357 9.67668 9.37331 8.73446 9.30437 9.66128 9.90192 9.77426 8.90500 12.50000 9.52551 9.60129 9.64531 9.97049 9.87831 9.54234 8.82915 9.45554 9.83137 10.08937 9.95248 9.02500 src/lsst_inaf_agile/mbh.py +1 −1 Original line number Diff line number Diff line Loading @@ -201,7 +201,7 @@ FUN_LOG_MBH_CONTINUITY_NEW2 = {} def get_log_mbh_continuity_new2( log_mstar, z, filename="opt/AGILE_Mstar_Mbh/DECODEmeans_Mstar_Mbh_Zou2024cc.dat" log_mstar, z, filename="data/AGILE_Mstar_Mbh/DECODEmeans_Mstar_Mbh_Zou2024cc.dat" ): """ Return logMBH according to the continuity equation with Zou+24 p(lambda). Loading tests/lsst_inaf_agile/test_mbh.py +1 −1 Original line number Diff line number Diff line Loading @@ -50,7 +50,7 @@ class TestMBH(unittest.TestCase): log_mstar = np.random.uniform(9.5, 12.0, size=10000) z = np.random.uniform(0.0, 5.5, size=10000) dirname = "opt/AGILE_Mstar_Mbh" dirname = "data/AGILE_Mstar_Mbh" def get(f): return mbh.get_log_mbh_continuity_new2( Loading Loading
data/AGILE_Mstar_Mbh/DECODEmeans_Mstar_Mbh_Zou2024cc.dat 0 → 100644 +38 −0 Original line number Diff line number Diff line # Output Mstar-Mbh relation from DECODEmeans - <Mbh | Mstar,z> # Columns : 0 : log10(Mstar/Msun), 1-12 : log10(Mbh(z)/Msun) [0,0.5,1,...,5.5] 8.50000 4.26837 4.41574 4.32500 4.20560 4.39018 4.27489 4.05249 4.06062 4.04352 4.16603 4.36861 4.82500 8.61429 4.40611 4.56108 4.45569 4.33286 4.52489 4.40376 4.19418 4.19452 4.17971 4.30234 4.49774 4.94500 8.72857 4.54592 4.70791 4.58590 4.46419 4.65430 4.53268 4.33742 4.32687 4.31935 4.43925 4.62795 5.06500 8.84286 4.68788 4.85484 4.71494 4.59908 4.77680 4.66146 4.48015 4.45673 4.46110 4.57604 4.75931 5.18500 8.95714 4.83175 5.00048 4.84211 4.73702 4.89237 4.78993 4.62034 4.58319 4.60362 4.71197 4.89167 5.30500 9.07143 4.97675 5.14344 4.96672 4.87749 5.00341 4.91788 4.75596 4.70677 4.74555 4.84631 5.02480 5.42500 9.18571 5.12204 5.28234 5.08901 5.01999 5.11257 5.04515 4.88495 4.82938 4.88554 4.97888 5.15844 5.54500 9.30000 5.26680 5.41579 5.21039 5.16401 5.22246 5.17153 5.00534 4.95303 5.02225 5.11107 5.29231 5.66500 9.41429 5.41021 5.54297 5.33235 5.30904 5.33571 5.29686 5.11821 5.07971 5.15457 5.24457 5.42618 5.78500 9.52857 5.55144 5.66595 5.45640 5.45502 5.45495 5.42106 5.22950 5.21142 5.28486 5.38109 5.55984 5.90500 9.64286 5.68967 5.78772 5.58402 5.60281 5.58281 5.54632 5.34558 5.35015 5.41794 5.52232 5.69439 6.02500 9.75714 5.82443 5.91126 5.71672 5.75342 5.72191 5.67660 5.47281 5.49781 5.55868 5.66994 5.83221 6.14500 9.87143 5.95768 6.03957 5.85600 5.90784 5.87388 5.81591 5.61754 5.65520 5.71197 5.82461 5.97571 6.26500 9.98571 6.09231 6.17564 6.00334 6.06706 6.03785 5.96830 5.78616 5.82242 5.88256 5.98584 6.12700 6.38500 10.10000 6.23121 6.32245 6.15978 6.23208 6.21257 6.13778 5.98330 5.99955 6.07067 6.15302 6.28334 6.50500 10.21429 6.37727 6.48253 6.32456 6.40389 6.39679 6.32838 6.20168 6.18669 6.27093 6.32590 6.43799 6.62500 10.32857 6.53339 6.65396 6.49651 6.58325 6.58924 6.54026 6.42885 6.38373 6.47761 6.50685 6.58827 6.74500 10.44286 6.70200 6.83242 6.67447 6.76870 6.78867 6.76157 6.65236 6.58912 6.68552 6.69931 6.74763 6.86500 10.55714 6.88218 7.01356 6.85727 6.95759 6.99341 6.97816 6.85978 6.80057 6.89140 6.89819 6.92270 6.98500 10.67143 7.07139 7.19302 7.04373 7.14729 7.19578 7.17588 7.04376 7.01521 7.09175 7.09000 7.10092 7.10500 10.78571 7.26711 7.36697 7.23197 7.33513 7.38366 7.34091 7.20935 7.21691 7.27820 7.27752 7.27914 7.22500 10.90000 7.46626 7.53492 7.41923 7.51743 7.54487 7.47232 7.36343 7.37718 7.45009 7.46498 7.45737 7.34500 11.01429 7.66256 7.69770 7.60264 7.68493 7.66842 7.58614 7.51079 7.50182 7.62018 7.65244 7.63559 7.46500 11.12857 7.84861 7.85628 7.77884 7.82655 7.77164 7.69921 7.64873 7.64156 7.79027 7.83989 7.81381 7.58500 11.24286 8.02456 8.01248 7.94146 7.93880 7.89972 7.81519 7.77310 7.79263 7.96036 8.02735 7.99203 7.70500 11.35714 8.20102 8.16885 8.08402 8.05765 8.06841 7.92059 7.88101 7.94380 8.13046 8.21481 8.17025 7.82500 11.47143 8.38571 8.33225 8.22105 8.21724 8.18727 8.03287 7.97695 8.09498 8.30055 8.40226 8.34848 7.94500 11.58571 8.57003 8.50406 8.38278 8.35739 8.28012 8.19012 8.07164 8.24615 8.47064 8.58972 8.52670 8.06500 11.70000 8.71500 8.64857 8.53692 8.47276 8.46690 8.35915 8.16633 8.39732 8.64073 8.77718 8.70492 8.18500 11.81429 8.83352 8.77083 8.65739 8.66896 8.66853 8.52817 8.26102 8.54850 8.81082 8.96463 8.88314 8.30500 11.92857 8.94909 8.90607 8.80903 8.88588 8.87016 8.69720 8.35571 8.69967 8.98091 9.15209 9.06137 8.42500 12.04286 9.06438 9.04512 8.97622 9.10280 9.07179 8.86623 8.45040 8.85085 9.15100 9.33955 9.23959 8.54500 12.15714 9.17966 9.18416 9.14349 9.31972 9.27342 9.03525 8.54508 9.00202 9.32109 9.52700 9.41781 8.66500 12.27143 9.29494 9.32320 9.31076 9.53665 9.47505 9.20428 8.63977 9.15319 9.49118 9.71446 9.59603 8.78500 12.38571 9.41023 9.46225 9.47803 9.75357 9.67668 9.37331 8.73446 9.30437 9.66128 9.90192 9.77426 8.90500 12.50000 9.52551 9.60129 9.64531 9.97049 9.87831 9.54234 8.82915 9.45554 9.83137 10.08937 9.95248 9.02500
src/lsst_inaf_agile/mbh.py +1 −1 Original line number Diff line number Diff line Loading @@ -201,7 +201,7 @@ FUN_LOG_MBH_CONTINUITY_NEW2 = {} def get_log_mbh_continuity_new2( log_mstar, z, filename="opt/AGILE_Mstar_Mbh/DECODEmeans_Mstar_Mbh_Zou2024cc.dat" log_mstar, z, filename="data/AGILE_Mstar_Mbh/DECODEmeans_Mstar_Mbh_Zou2024cc.dat" ): """ Return logMBH according to the continuity equation with Zou+24 p(lambda). Loading
tests/lsst_inaf_agile/test_mbh.py +1 −1 Original line number Diff line number Diff line Loading @@ -50,7 +50,7 @@ class TestMBH(unittest.TestCase): log_mstar = np.random.uniform(9.5, 12.0, size=10000) z = np.random.uniform(0.0, 5.5, size=10000) dirname = "opt/AGILE_Mstar_Mbh" dirname = "data/AGILE_Mstar_Mbh" def get(f): return mbh.get_log_mbh_continuity_new2( Loading