# plotsearch.py grusI.npy=grusI.npy mode=fofx:0.108953:1.089535:13:0 whatwhere=circle:344.148828:-50.132331:1.0
# now searching sky patch...
# nobjs: 1335
# ngroups: 10
# found 10 candidates
# effective linkage 0.108953:1.089535:13:0
# grpid 0: n = 38 l,b = 338.9651 -58.8393 ra,dec = 344.7894 -49.6939
# grpid 1: n = 27 l,b = 338.7467 -58.2483 ra,dec = 344.1488 -50.1323
# grpid 2: n = 22 l,b = 338.0917 -57.5398 ra,dec = 343.5639 -50.8286
# grpid 3: n = 20 l,b = 339.5477 -58.1096 ra,dec = 343.5943 -49.8666
# grpid 4: n = 20 l,b = 338.1908 -58.5537 ra,dec = 344.8023 -50.1873
# grpid 5: n = 20 l,b = 339.1821 -57.6557 ra,dec = 343.1838 -50.2843
# grpid 6: n = 17 l,b = 337.9227 -58.8974 ra,dec = 345.3612 -50.0918
# grpid 7: n = 15 l,b = 338.9368 -58.2381 ra,dec = 344.0450 -50.0569
# grpid 8: n = 14 l,b = 339.1173 -58.2993 ra,dec = 344.0375 -49.9440
# grpid 9: n = 13 l,b = 338.6082 -57.4654 ra,dec = 343.2143 -50.6456
# plotting...
# ra dec pax epax pmra pmdec gmag br des grpid
344.124704 -50.075969 0.069272 0.329011 -0.164575 -0.292729 18.402500 1.330343 6514762009827996032ll 1
344.298430 -50.171855 0.722783 0.632130 -0.035047 0.029398 18.986204 0.202223 6514757611781442304ll 1
344.248671 -50.038941 -0.385494 0.672483 0.220097 0.679993 19.617796 0.545397 6514763074979904000ll 1
344.048841 -50.051387 -0.060215 0.516741 -0.052804 -1.884853 19.447733 1.032232 6514761941108530432ll 1
344.362105 -49.880983 0.178868 0.207990 1.183125 0.429711 18.012024 0.679873 6514768263300779136ll 1
344.146574 -49.996496 -0.131045 0.237366 -0.444175 -2.145316 17.691132 0.864752 6514763796534425984ll 1
344.198954 -50.129313 0.489845 1.517978 -1.238402 -0.308172 19.970669 0.790979 6514760880252481152ll 1
344.377191 -50.144416 0.070727 0.846719 -0.580251 -1.921807 20.024311 1.172733 6514758337630896384ll 1
344.384882 -49.931913 -0.709939 0.979876 0.317603 -0.221856 20.073854 0.418852 6514768022782586112ll 1
344.218655 -49.939088 0.438393 1.060124 1.220435 0.251756 20.535210 0.745514 6514769431531539072ll 1
343.977780 -49.973711 0.575490 0.902346 -0.596360 -1.121267 20.261129 0.734419 6514809735504630912ll 1
344.307697 -50.055783 -0.059988 0.724324 -0.232798 -1.422607 19.604071 0.879799 6514759879524227840ll 1
344.107326 -49.971264 1.143318 0.623095 -0.609811 -0.101396 19.972103 0.627193 6514764071412341120ll 1
344.180430 -50.102143 -0.103992 0.451056 0.035791 -0.472172 19.179417 1.123314 6514760979035831424ll 1
344.241978 -50.232805 1.235725 0.702494 -0.320145 -0.484993 17.633036 1.519474 6513255850697323648ll 1
344.289445 -50.395387 -0.068234 0.283870 0.788179 -1.467252 18.054108 1.116474 6513252449083065088ll 1
344.272346 -50.332013 0.686270 2.785392 -0.253430 -0.795202 20.552858 1.357449 6513254304509009664ll 1
343.988913 -50.079621 -0.970145 0.718118 -0.056435 0.264721 19.710297 0.524246 6513307562103676032ll 1
344.015755 -50.090179 0.815550 1.348161 0.051488 0.331361 20.437742 0.824114 6513307493384193664ll 1
344.004130 -50.187501 -0.107329 0.187515 -0.492898 1.054583 17.087479 0.896711 6513259836427004032ll 1
344.180051 -50.191728 0.200860 2.766146 -0.093258 0.356023 20.591398 1.535748 6513259114872496000ll 1
344.154463 -50.365736 -2.024487 1.945619 0.000142 -1.034738 20.148481 0.495932 6513253308076554752ll 1
344.082015 -50.153696 1.265593 1.539782 -0.698177 -0.072829 20.430742 0.768858 6513260180024413312ll 1
343.922741 -50.246097 -0.043700 0.858355 -0.065567 0.077035 18.883120 0.727646 6513304675885531648ll 1
343.808771 -50.318282 0.482718 1.934833 0.093272 0.341602 20.580963 0.708715 6513299079543383424ll 1
344.154426 -50.173615 -1.084430 1.208926 -0.396812 -0.947026 19.953600 1.023521 6513259183591987200ll 1
343.921073 -50.343006 0.019229 0.588574 -0.583396 1.106013 19.285439 0.543089 6513298147535147392ll 1
# total: 27