q2.0np0.0js254
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 | 142 | 282 | -1.18500 | .58333 | 4.00059 | -.9874 | .1833 | -.9940 | .1845 | .8680 | .8624 | 79.5930 | 166.9200 | 68409.0000 | 50609.0000 | 0 | .4744 | .1004 | 8.9235 | .90000 | .55555 | 1.30790 | .76294 | 95.48610 | 38.01660 | 8.9235 | 8.9235 | 482 | 512 |
2 | 142 | 282 | -1.18500 | .58333 | 4.00059 | NaN | 0 | .6490 | .3968 | .4038 | .4010 | .3773 | .3774 | 68409.0000 | 50609.0000 | .0001 | .4744 | .1004 | NaN | .90000 | .55555 | 1.30790 | .76294 | 95.48610 | 38.01660 | NaN | NaN | 482 | 512 |
3 | 142 | 282 | -1.18500 | .58333 | 4.00059 | -.7950 | .4007 | -.7976 | .4031 | .3971 | .3947 | .4535 | .4540 | 68409.0000 | 50609.0000 | 0 | .4744 | .1004 | 1.1664 | .90000 | .55555 | 1.30790 | .76294 | 95.48610 | 38.01660 | 1.1664 | 1.1664 | 482 | 512 |
4 | 142 | 282 | -1.18500 | .58333 | 4.00059 | -.7652 | .3003 | -.7641 | .2994 | .5299 | .5315 | .3090 | .3090 | 68409.0000 | 50609.0000 | 0 | .4744 | .1004 | 1.1120 | .90000 | .55555 | 1.30790 | .76294 | 95.48610 | 38.01660 | 1.1120 | 1.1120 | 482 | 512 |
1 | 224 | 282 | -1.02500 | .58333 | 3.99472 | -.1235 | .1486 | -.1263 | .1237 | 1.0705 | 1.2863 | 1.1410 | 1.1446 | 15159.0000 | 73539.0000 | .0007 | .4641 | .0120 | 1.0681 | .90000 | .88095 | 1.31148 | .76502 | 53.72740 | 63.62850 | 1.0681 | 1.0681 | 482 | 512 |
2 | 224 | 282 | -1.02500 | .58333 | 3.99472 | NaN | 0 | .6114 | .3961 | .4028 | .4017 | .3815 | .3829 | 15159.0000 | 73539.0000 | .0014 | .4641 | .0120 | NaN | .90000 | .88095 | 1.31148 | .76502 | 53.72740 | 63.62850 | NaN | NaN | 482 | 512 |
3 | 224 | 282 | -1.02500 | .58333 | 3.99472 | -.8073 | .3795 | NaN | 0 | .4193 | .3780 | .4560 | .4601 | 15159.0000 | 73539.0000 | 0 | .4641 | .0120 | 1.1697 | .90000 | .88095 | 1.31148 | .76502 | 53.72740 | 63.62850 | 1.1697 | 1.1697 | 482 | 512 |
4 | 224 | 282 | -1.02500 | .58333 | 3.99472 | -.7772 | .2872 | -.7754 | .2897 | .5540 | .5492 | .3102 | .3101 | 15159.0000 | 73539.0000 | 0 | .4641 | .0120 | 1.1141 | .90000 | .88095 | 1.31148 | .76502 | 53.72740 | 63.62850 | 1.1141 | 1.1141 | 482 | 512 |
1 | 238 | 282 | -1.00720 | .58333 | 4.00033 | -.1166 | .1419 | -.1218 | .1209 | 1.1210 | 1.3164 | 1.1320 | 1.1388 | 26119.0000 | 53669.0000 | .0011 | .4624 | .0002 | 1.0639 | .90000 | .93650 | 1.31148 | .76502 | 50.32120 | 442.42500 | 1.0639 | 1.0639 | 482 | 512 |
2 | 238 | 282 | -1.00720 | .58333 | 4.00033 | .5319 | .3741 | .5194 | .3746 | .4261 | .4248 | .3949 | .3969 | 26119.0000 | 53669.0000 | .0040 | .4624 | .0002 | .8887 | .90000 | .93650 | 1.31148 | .76502 | 50.32120 | 442.42500 | .8887 | .8887 | 482 | 512 |
3 | 238 | 282 | -1.00720 | .58333 | 4.00033 | -.8066 | .3759 | -.8187 | .3623 | .4232 | .4392 | .4563 | .4584 | 26119.0000 | 53669.0000 | 0 | .4624 | .0002 | 1.1695 | .90000 | .93650 | 1.31148 | .76502 | 50.32120 | 442.42500 | 1.1695 | 1.1695 | 482 | 512 |
4 | 238 | 282 | -1.00720 | .58333 | 4.00033 | -.7793 | .2841 | -.7800 | .2834 | .5601 | .5614 | .3105 | .3105 | 26119.0000 | 53669.0000 | 0 | .4624 | .0002 | 1.1144 | .90000 | .93650 | 1.31148 | .76502 | 50.32120 | 442.42500 | 1.1144 | 1.1144 | 482 | 512 |
1 | 46 | 282 | -1.75100 | .58333 | 4.00240 | -.9338 | .4050 | NaN | 0 | .3928 | .3916 | 15.1130 | 15.1470 | 13909.0000 | 74639.0000 | 0 | .4805 | .2776 | 3.8876 | .90000 | .17460 | 1.30435 | .76087 | 652.72500 | 120.69000 | 3.8876 | 3.8876 | 482 | 512 |
2 | 46 | 282 | -1.75100 | .58333 | 4.00240 | 1.7722 | 1.2945 | 1.7722 | 1.2942 | .1229 | .1229 | .2651 | .2651 | 13909.0000 | 74639.0000 | 0 | .4805 | .2776 | .7281 | .90000 | .17460 | 1.30435 | .76087 | 652.72500 | 120.69000 | .7280 | .7280 | 482 | 512 |
3 | 46 | 282 | -1.75100 | .58333 | 4.00240 | 3.5398 | .5972 | 3.5486 | .6005 | .2664 | .2650 | .1529 | .1527 | 13909.0000 | 74639.0000 | 0 | .4805 | .2776 | .6772 | .90000 | .17460 | 1.30435 | .76087 | 652.72500 | 120.69000 | .6772 | .6772 | 482 | 512 |
4 | 46 | 282 | -1.75100 | .58333 | 4.00240 | -.7377 | .3080 | NaN | 0 | .5166 | .5185 | .3065 | .3065 | 13909.0000 | 74639.0000 | 0 | .4805 | .2776 | 1.1073 | .90000 | .17460 | 1.30435 | .76087 | 652.72500 | 120.69000 | 1.1073 | 1.1073 | 482 | 512 |
1 | 70 | 282 | -1.51000 | .58333 | 4.00790 | -.9631 | .3061 | -.9610 | .3066 | .5197 | .5190 | 27.1590 | 25.6910 | 17819.0000 | 75039.0000 | 0 | .4807 | .2212 | 5.2125 | .90000 | .26984 | 1.30790 | .76294 | 296.24600 | 70.44440 | 5.2125 | 5.2125 | 482 | 512 |
2 | 70 | 282 | -1.51000 | .58333 | 4.00790 | NaN | 0 | .7799 | .6104 | .2597 | .2607 | .3592 | .3597 | 17819.0000 | 75039.0000 | 0 | .4807 | .2212 | NaN | .90000 | .26984 | 1.30790 | .76294 | 296.24600 | 70.44440 | NaN | NaN | 482 | 512 |
3 | 70 | 282 | -1.51000 | .58333 | 4.00790 | -.7740 | .4173 | -.7721 | .4162 | .3813 | .3823 | .4492 | .4488 | 17819.0000 | 75039.0000 | 0 | .4807 | .2212 | 1.1609 | .90000 | .26984 | 1.30790 | .76294 | 296.24600 | 70.44440 | 1.1609 | 1.1609 | 482 | 512 |
4 | 70 | 282 | -1.51000 | .58333 | 4.00790 | -.7371 | .3074 | -.7393 | .3077 | .5177 | .5172 | .3064 | .3066 | 17819.0000 | 75039.0000 | 0 | .4807 | .2212 | 1.1072 | .90000 | .26984 | 1.30790 | .76294 | 296.24600 | 70.44440 | 1.1072 | 1.1072 | 482 | 512 |
1 | 94 | 282 | -1.36220 | .58333 | 4.00077 | -.9752 | .2541 | NaN | 0 | .6261 | .6250 | 40.3850 | 41.1390 | 14299.0000 | 44219.0000 | 0 | .4792 | .1743 | 6.3586 | .90000 | .36507 | 1.30790 | .76294 | 178.84900 | 51.06900 | 6.3586 | 6.3586 | 482 | 512 |
2 | 94 | 282 | -1.36220 | .58333 | 4.00077 | .6714 | .4586 | .6719 | .4581 | .3470 | .3473 | .3733 | .3742 | 14299.0000 | 44219.0000 | 0 | .4792 | .1743 | .8652 | .90000 | .36507 | 1.30790 | .76294 | 178.84900 | 51.06900 | .8652 | .8652 | 482 | 512 |
3 | 94 | 282 | -1.36220 | .58333 | 4.00077 | -.7756 | .4166 | -.7717 | .4165 | .3820 | .3820 | .4495 | .4487 | 14299.0000 | 44219.0000 | 0 | .4792 | .1743 | 1.1613 | .90000 | .36507 | 1.30790 | .76294 | 178.84900 | 51.06900 | 1.1613 | 1.1613 | 482 | 512 |
4 | 94 | 282 | -1.36220 | .58333 | 4.00077 | -.7396 | .3071 | -.7403 | .3064 | .5182 | .5193 | .3067 | .3067 | 14299.0000 | 44219.0000 | 0 | .4792 | .1743 | 1.1076 | .90000 | .36507 | 1.30790 | .76294 | 178.84900 | 51.06900 | 1.1076 | 1.1076 | 482 | 512 |
.csv table
Image Tables
m = 1
m = 2
m = 3
m = 4