q2.0np0.0js65
Data table
m | ks | jin | LogRho | R-/R+ | Star Mass | Y1disk | Y2disk | Y1star | Y2star | tauDisk | tauStar | diskPeriod | starPeriod | mom2 | mom4 | starTorque | T/|W|disk | T/|W|star | Rco/Ro | Rs/R- | Rp/Re | R+/Ro | R-/Ro | MIRP | CIRP | Rilr/Ro | Rolr/Ro | jout | jmax |
1 | 56 | 120 | -1.50000 | .47580 | .90585 | -.6120 | .7574 | -.6121 | .7573 | 1.3203 | 1.3204 | 16.2000 | 16.2090 | -.0573 | .0018 | 0 | .3970 | .0180 | 1.6055 | .53389 | .85714 | 1.43353 | .68208 | 222.59100 | .90256 | 1.6055 | 1.6055 | 250 | 256 |
2 | 56 | 120 | -1.50000 | .47580 | .90585 | -.7881 | .6026 | -.7739 | .6127 | 1.6582 | 1.6320 | 5.1992 | 5.1266 | -.0573 | .0018 | 0 | .3970 | .0180 | 1.2847 | .53389 | .85714 | 1.43353 | .68208 | 222.59100 | .90256 | 1.2847 | 1.2847 | 250 | 256 |
1 | 56 | 120 | -2.00000 | .47580 | 2.89418 | -.8534 | .6262 | -.8522 | .6250 | 1.5969 | 1.5999 | 42.8710 | 42.6660 | -.0580 | .0016 | 0 | .4410 | .0274 | 2.6121 | .53389 | .85714 | 1.46746 | .69822 | 152.76800 | .91236 | 2.6121 | 2.6121 | 250 | 256 |
2 | 56 | 120 | -2.00000 | .47580 | 2.89418 | -.5795 | .3112 | -.5792 | .3115 | 3.2128 | 3.2154 | 4.4233 | 4.4406 | -.0580 | .0016 | 0 | .4410 | .0274 | 1.1866 | .53389 | .85714 | 1.46746 | .69822 | 152.76800 | .91236 | 1.1866 | 1.1866 | 250 | 256 |
1 | 56 | 120 | -2.50000 | .47580 | 9.22662 | -.9145 | .7046 | -.9141 | .7049 | 1.4192 | 1.4186 | 73.7040 | 73.2300 | -.0583 | .0015 | 0 | .4623 | .0315 | 3.4201 | .53389 | .85714 | 1.50303 | .71515 | 125.33200 | .91554 | 3.4201 | 3.4201 | 250 | 256 |
2 | 56 | 120 | -2.50000 | .47580 | 9.22662 | 6.0140 | .1539 | 6.0144 | .1556 | 6.4966 | 6.3545 | .7840 | .7840 | -.0583 | .0015 | 0 | .4623 | .0315 | .4995 | .53389 | .85714 | 1.50303 | .71515 | 125.33200 | .91554 | .4995 | .4995 | 250 | 256 |
1 | 56 | 160 | -1.50000 | .63709 | 1.79401 | -.7937 | .7316 | -.7946 | .7325 | 1.3668 | 1.3651 | 30.4740 | 30.5770 | -.0580 | .0016 | 0 | .4439 | .0258 | 2.2019 | .39873 | .85714 | 1.24623 | .79397 | 212.24300 | .91197 | 2.2019 | 2.2019 | 250 | 256 |
2 | 56 | 160 | -1.50000 | .63709 | 1.79401 | .8691 | .5829 | .8760 | .5826 | 1.7147 | 1.7164 | 2.1899 | 2.1847 | -.0580 | .0016 | 0 | .4439 | .0258 | .8349 | .39873 | .85714 | 1.24623 | .79397 | 212.24300 | .91197 | .8349 | .8349 | 250 | 256 |
1 | 56 | 160 | -2.00000 | .63709 | 5.48913 | -.8905 | .7463 | NaN | 0 | 1.3398 | 1.3387 | 57.3800 | 57.4410 | -.0582 | .0015 | 0 | .4721 | .0307 | 3.0220 | .39873 | .85714 | 1.25253 | .79798 | 171.86800 | .91537 | 3.0220 | 3.0220 | 250 | 256 |
2 | 56 | 160 | -2.00000 | .63709 | 5.48913 | -.8378 | .3196 | -.5570 | .2902 | 3.0406 | 3.5865 | 5.4065 | 4.3615 | -.0582 | .0015 | 0 | .4721 | .0307 | 1.3120 | .39873 | .85714 | 1.25253 | .79798 | 171.86800 | .91537 | 1.3120 | 1.3120 | 250 | 256 |
1 | 56 | 160 | -2.50000 | .63709 | 16.63840 | -.9214 | .7591 | -.9216 | .7603 | 1.3173 | 1.3152 | 79.9470 | 79.9640 | -.0583 | .0015 | 0 | .4840 | .0326 | 3.5670 | .39873 | .85714 | 1.26531 | .80612 | 155.25200 | .91650 | 3.5670 | 3.5670 | 250 | 256 |
2 | 56 | 160 | -2.50000 | .63709 | 16.63840 | 6.4897 | .1623 | 6.4885 | .1649 | 6.0781 | 6.0631 | .7400 | .7401 | -.0583 | .0015 | 0 | .4840 | .0326 | .4853 | .39873 | .85714 | 1.26531 | .80612 | 155.25200 | .91650 | .4853 | .4853 | 250 | 256 |
1 | 56 | 80 | -1.50000 | .31451 | .57302 | -.1205 | 1.2441 | -.1208 | 1.2443 | .8038 | .8036 | 7.1447 | 7.1461 | -.0557 | .0023 | 0 | .3364 | .0083 | 1.0663 | .80769 | .85714 | 1.79710 | .56521 | 203.50200 | .88153 | 1.0663 | 1.0663 | 250 | 256 |
2 | 56 | 80 | -1.50000 | .31451 | .57302 | -.0334 | .5448 | -.0335 | .5447 | 1.8353 | 1.8357 | 3.1951 | 3.1941 | -.0557 | .0023 | 0 | .3364 | .0083 | 1.0085 | .80769 | .85714 | 1.79710 | .56521 | 203.50200 | .88153 | 1.0085 | 1.0085 | 250 | 256 |
1 | 56 | 80 | -2.00000 | .31451 | 2.01402 | .2737 | .8597 | .2833 | .8608 | 1.1632 | 1.1616 | 4.9422 | 4.8959 | -.0576 | .0017 | .0002 | .3949 | .0227 | .8860 | .80769 | .85714 | 1.89313 | .59542 | 116.71000 | .90582 | .8860 | .8860 | 250 | 256 |
2 | 56 | 80 | -2.00000 | .31451 | 2.01402 | NaN | 0 | NaN | 0 | 1.5979 | 4.6395 | 1.3185 | .7461 | -.0576 | .0017 | 0 | .3949 | .0227 | NaN | .80769 | .85714 | 1.89313 | .59542 | 116.71000 | .90582 | NaN | NaN | 250 | 256 |
1 | 56 | 80 | -2.50000 | .31451 | 6.97703 | NaN | 0 | -.9074 | .7810 | 1.2861 | 1.2803 | 66.2000 | 67.8890 | -.0581 | .0015 | 0 | .4247 | .0299 | NaN | .80769 | .85714 | 2.00000 | .62903 | 84.35050 | .91356 | NaN | NaN | 250 | 256 |
2 | 56 | 80 | -2.50000 | .31451 | 6.97703 | NaN | 0 | 7.1316 | .1779 | 6.5271 | 5.6194 | .6879 | .6880 | -.0581 | .0015 | 0 | .4247 | .0299 | NaN | .80769 | .85714 | 2.00000 | .62903 | 84.35050 | .91356 | NaN | NaN | 250 | 256 |
.csv table
Image Tables
m = 1
m = 2
m = 3
m = 4