q1.5np0.0js180
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 | 100 | 240 | -1.83810 | .49583 | 10.00010 | -.9625 | .4308 | -.9625 | .4308 | .3694 | .3694 | 26.7250 | 26.7240 | 449.0000 | 58279.0000 | 0 | .4939 | .1216 | 8.9387 | .74789 | .55056 | 1.32231 | .65564 | 146.31600 | 33.54900 | 0 | 14.1890 | 482 | 512 |
2 | 100 | 240 | -1.83810 | .49583 | 10.00010 | NaN | 0 | NaN | 0 | .6664 | .4071 | .8349 | .7880 | 449.0000 | 58279.0000 | 0 | .4939 | .1216 | NaN | .74789 | .55056 | 1.32231 | .65564 | 146.31600 | 33.54900 | NaN | NaN | 482 | 512 |
3 | 100 | 240 | -1.83810 | .49583 | 10.00010 | -.7871 | .2217 | NaN | 0 | .7178 | .9774 | .4517 | .0012 | 449.0000 | 58279.0000 | 0 | .4939 | .1216 | 1.2249 | .74789 | .55056 | 1.32231 | .65564 | 146.31600 | 33.54900 | .9347 | 1.4839 | 482 | 512 |
4 | 100 | 240 | -1.83810 | .49583 | 10.00010 | NaN | 0 | NaN | 0 | 1.1196 | .1493 | .3272 | .0002 | 449.0000 | 58279.0000 | 0 | .4939 | .1216 | NaN | .74789 | .55056 | 1.32231 | .65564 | 146.31600 | 33.54900 | NaN | NaN | 482 | 512 |
1 | 100 | 240 | -1.83900 | .49583 | 10.03350 | -.9626 | .4310 | -.9626 | .4310 | .3692 | .3692 | 26.7570 | 26.7570 | 449.0000 | 58279.0000 | 0 | .4940 | .1216 | 8.9459 | .74789 | .55056 | 1.32231 | .65564 | 146.28000 | 33.53890 | 0 | 14.2010 | 482 | 512 |
2 | 100 | 240 | -1.83900 | .49583 | 10.03350 | NaN | 0 | NaN | 0 | .6569 | .4112 | .8324 | .7893 | 449.0000 | 58279.0000 | 0 | .4940 | .1216 | NaN | .74789 | .55056 | 1.32231 | .65564 | 146.28000 | 33.53890 | NaN | NaN | 482 | 512 |
3 | 100 | 240 | -1.83900 | .49583 | 10.03350 | NaN | 0 | NaN | 0 | .7149 | .7731 | .4517 | .0017 | 449.0000 | 58279.0000 | 0 | .4940 | .1216 | NaN | .74789 | .55056 | 1.32231 | .65564 | 146.28000 | 33.53890 | NaN | NaN | 482 | 512 |
4 | 100 | 240 | -1.83900 | .49583 | 10.03350 | NaN | 0 | NaN | 0 | 1.0852 | .2174 | .3265 | .0002 | 449.0000 | 58279.0000 | 0 | .4940 | .1216 | NaN | .74789 | .55056 | 1.32231 | .65564 | 146.28000 | 33.53890 | NaN | NaN | 482 | 512 |
1 | 170 | 240 | -1.67830 | .49583 | 10.00040 | NaN | 0 | NaN | 0 | .8644 | .8717 | 273.0900 | .0001 | 34509.0000 | 46329.0000 | 0 | .4864 | .0097 | NaN | .74789 | .94382 | 1.35211 | .67042 | 73.41740 | 64.25270 | NaN | NaN | 482 | 512 |
2 | 170 | 240 | -1.67830 | .49583 | 10.00040 | NaN | 0 | NaN | 0 | .7254 | .2078 | .7832 | .0003 | 34509.0000 | 46329.0000 | 0 | .4864 | .0097 | NaN | .74789 | .94382 | 1.35211 | .67042 | 73.41740 | 64.25270 | NaN | NaN | 482 | 512 |
3 | 170 | 240 | -1.67830 | .49583 | 10.00040 | NaN | 0 | NaN | 0 | 1.1843 | .5222 | .4594 | .0001 | 34509.0000 | 46329.0000 | 0 | .4864 | .0097 | NaN | .74789 | .94382 | 1.35211 | .67042 | 73.41740 | 64.25270 | NaN | NaN | 482 | 512 |
4 | 170 | 240 | -1.67830 | .49583 | 10.00040 | NaN | 0 | NaN | 0 | .9646 | -.4341 | .3105 | .0002 | 34509.0000 | 46329.0000 | 0 | .4864 | .0097 | NaN | .74789 | .94382 | 1.35211 | .67042 | 73.41740 | 64.25270 | NaN | NaN | 482 | 512 |
1 | 170 | 240 | -2.33500 | .49583 | 100.25700 | -.9933 | .2185 | NaN | 0 | .7282 | .7066 | 155.2500 | .0001 | 37219.0000 | 13209.0000 | 0 | .4992 | .0123 | 28.3380 | .74789 | .94382 | 1.28342 | .63636 | 74.20570 | 54.14480 | 0 | 44.9835 | 482 | 512 |
2 | 170 | 240 | -2.33500 | .49583 | 100.25700 | NaN | 0 | NaN | 0 | 1.3592 | .5814 | .2112 | .0001 | 37219.0000 | 13209.0000 | 0 | .4992 | .0123 | NaN | .74789 | .94382 | 1.28342 | .63636 | 74.20570 | 54.14480 | NaN | NaN | 482 | 512 |
3 | 170 | 240 | -2.33500 | .49583 | 100.25700 | NaN | 0 | NaN | 0 | -.1276 | .1058 | .1444 | .0001 | 37219.0000 | 13209.0000 | 0 | .4992 | .0123 | NaN | .74789 | .94382 | 1.28342 | .63636 | 74.20570 | 54.14480 | NaN | NaN | 482 | 512 |
4 | 170 | 240 | -2.33500 | .49583 | 100.25700 | NaN | 0 | NaN | 0 | .3424 | -.1997 | .2102 | .0003 | 37219.0000 | 13209.0000 | 0 | .4992 | .0123 | NaN | .74789 | .94382 | 1.28342 | .63636 | 74.20570 | 54.14480 | NaN | NaN | 482 | 512 |
1 | 46 | 240 | -2.18410 | .49583 | 10.00070 | -.9288 | .7462 | -.9288 | .7462 | .2132 | .2132 | 14.0530 | 14.0530 | 22069.0000 | 97009.0000 | 0 | .4971 | .2625 | 5.8234 | .74789 | .24719 | 1.30081 | .64498 | 537.69100 | 70.50500 | 0 | 9.2441 | 482 | 512 |
2 | 46 | 240 | -2.18410 | .49583 | 10.00070 | 3.2915 | .7311 | 3.2915 | .7311 | .2176 | .2176 | .1889 | .1889 | 22069.0000 | 97009.0000 | 0 | .4971 | .2625 | .5227 | .74789 | .24719 | 1.30081 | .64498 | 537.69100 | 70.50500 | .3293 | .6850 | 482 | 512 |
3 | 46 | 240 | -2.18410 | .49583 | 10.00070 | -.7712 | .2616 | NaN | 0 | .6083 | .6266 | .4486 | .4513 | 22069.0000 | 97009.0000 | 0 | .4971 | .2625 | 1.2191 | .74789 | .24719 | 1.30081 | .64498 | 537.69100 | 70.50500 | .9303 | 1.4768 | 482 | 512 |
4 | 46 | 240 | -2.18410 | .49583 | 10.00070 | -.8797 | .1906 | NaN | 0 | .8348 | -.1565 | .3206 | .0360 | 22069.0000 | 97009.0000 | 0 | .4971 | .2625 | 1.1800 | .74789 | .24719 | 1.30081 | .64498 | 537.69100 | 70.50500 | .9741 | 1.3693 | 482 | 512 |
1 | 46 | 240 | -2.18500 | .49583 | 10.03910 | -.9289 | .7462 | -.9289 | .7462 | .2132 | .2132 | 14.0760 | 14.0760 | 22079.0000 | 97019.0000 | 0 | .4971 | .2626 | 5.8298 | .74789 | .24719 | 1.30081 | .64498 | 537.54100 | 70.48140 | 0 | 9.2542 | 482 | 512 |
2 | 46 | 240 | -2.18500 | .49583 | 10.03910 | 3.2923 | .7319 | 3.2923 | .7319 | .2174 | .2174 | .1889 | .1889 | 22079.0000 | 97019.0000 | 0 | .4971 | .2626 | .5227 | .74789 | .24719 | 1.30081 | .64498 | 537.54100 | 70.48140 | .3292 | .6849 | 482 | 512 |
3 | 46 | 240 | -2.18500 | .49583 | 10.03910 | -.7722 | .2607 | -.7830 | .2572 | .6103 | .6185 | .4488 | .4510 | 22079.0000 | 97019.0000 | 0 | .4971 | .2626 | 1.2194 | .74789 | .24719 | 1.30081 | .64498 | 537.54100 | 70.48140 | .9305 | 1.4772 | 482 | 512 |
4 | 46 | 240 | -2.18500 | .49583 | 10.03910 | -.8851 | .2068 | NaN | 0 | .7694 | -.5670 | .3212 | .0008 | 22079.0000 | 97019.0000 | 0 | .4971 | .2626 | 1.1814 | .74789 | .24719 | 1.30081 | .64498 | 537.54100 | 70.48140 | .9752 | 1.3709 | 482 | 512 |
1 | 60 | 240 | -2.04940 | .49583 | 10.00060 | -.9403 | .6304 | -.9403 | .6304 | .2524 | .2524 | 16.7650 | 16.7650 | 20149.0000 | 73779.0000 | 0 | .4967 | .2191 | 6.5503 | .74789 | .32584 | 1.30435 | .64673 | 333.20500 | 51.26370 | 0 | 10.3980 | 482 | 512 |
2 | 60 | 240 | -2.04940 | .49583 | 10.00060 | NaN | 0 | NaN | 0 | .6068 | 1.5316 | .8125 | .0035 | 20149.0000 | 73779.0000 | 0 | .4967 | .2191 | NaN | .74789 | .32584 | 1.30435 | .64673 | 333.20500 | 51.26370 | NaN | NaN | 482 | 512 |
3 | 60 | 240 | -2.04940 | .49583 | 10.00060 | -.7864 | .2559 | NaN | 0 | .6218 | .6360 | .4516 | .4518 | 20149.0000 | 73779.0000 | 0 | .4967 | .2191 | 1.2246 | .74789 | .32584 | 1.30435 | .64673 | 333.20500 | 51.26370 | .9345 | 1.4836 | 482 | 512 |
4 | 60 | 240 | -2.04940 | .49583 | 10.00060 | NaN | 0 | NaN | 0 | .8646 | .4279 | .3227 | .0010 | 20149.0000 | 73779.0000 | 0 | .4967 | .2191 | NaN | .74789 | .32584 | 1.30435 | .64673 | 333.20500 | 51.26370 | NaN | NaN | 482 | 512 |
1 | 60 | 240 | -2.05000 | .49583 | 10.02550 | -.9404 | .6306 | -.9404 | .6306 | .2523 | .2523 | 16.7820 | 16.7820 | 20149.0000 | 73789.0000 | 0 | .4967 | .2191 | 6.5549 | .74789 | .32584 | 1.30435 | .64673 | 333.14400 | 51.25240 | 0 | 10.4050 | 482 | 512 |
2 | 60 | 240 | -2.05000 | .49583 | 10.02550 | NaN | 0 | NaN | 0 | .6032 | 2.3440 | .8118 | .0042 | 20149.0000 | 73789.0000 | 0 | .4967 | .2191 | NaN | .74789 | .32584 | 1.30435 | .64673 | 333.14400 | 51.25240 | NaN | NaN | 482 | 512 |
3 | 60 | 240 | -2.05000 | .49583 | 10.02550 | -.7872 | .2551 | NaN | 0 | .6237 | .6202 | .4517 | .4525 | 20149.0000 | 73789.0000 | 0 | .4967 | .2191 | 1.2249 | .74789 | .32584 | 1.30435 | .64673 | 333.14400 | 51.25240 | .9348 | 1.4839 | 482 | 512 |
4 | 60 | 240 | -2.05000 | .49583 | 10.02550 | -.9034 | .1848 | NaN | 0 | .8608 | 3.0482 | .3226 | .0007 | 20149.0000 | 73789.0000 | 0 | .4967 | .2191 | 1.1861 | .74789 | .32584 | 1.30435 | .64673 | 333.14400 | 51.25240 | .9790 | 1.3763 | 482 | 512 |
.csv table
Image Tables
m = 1
m = 2
m = 3
m = 4