# plotsearch.py grusI.npy=grusI.npy mode=fofx:0.100572:1.089535:13:0 whatwhere=circle:344.772434:-49.695029:1.0
# now searching sky patch...
# nobjs: 820
# ngroups: 4
# found 4 candidates
# effective linkage 0.100572:1.089535:13:0
# grpid 0: n = 29 l,b = 338.9758 -58.8297 ra,dec = 344.7724 -49.6950
# grpid 1: n = 15 l,b = 338.7329 -58.2482 ra,dec = 344.1551 -50.1382
# grpid 2: n = 14 l,b = 338.9438 -58.2295 ra,dec = 344.0308 -50.0589
# grpid 3: n = 14 l,b = 339.1173 -58.2993 ra,dec = 344.0375 -49.9440
# plotting...
# ra dec pax epax pmra pmdec gmag br des grpid
345.158836 -49.860940 0.594466 0.958137 0.655459 -4.666862 20.244234 1.845406 6514592616318866176ll 0
345.034707 -49.834826 -1.587437 1.938184 0.604316 -4.699693 20.627790 0.705914 6514596498969309056ll 0
345.014559 -49.842314 -0.522521 2.875621 -0.284465 -4.912116 20.749458 0.776651 6514595060155160960ll 0
344.902912 -49.781680 0.536289 0.397945 0.968181 -4.063975 18.763264 1.159716 6514783278506504576ll 0
344.754402 -49.589407 0.539242 0.665178 2.078297 -3.326403 19.228111 1.028893 6514789944295873664ll 0
344.977381 -49.713791 0.232246 0.711530 1.594911 -4.317488 19.789955 1.732998 6514785202651896448ll 0
344.661889 -49.540417 0.481944 0.257828 2.282950 -2.195878 17.820812 1.367935 6514791048102819072ll 0
344.825367 -49.713842 0.191232 0.115113 1.660073 -3.671010 16.435749 0.205425 6514785894142025344ll 0
344.872242 -49.655698 0.167559 0.138806 1.593826 -4.206224 16.742535 0.783396 6514786375178360960ll 0
344.557877 -49.612716 -2.501741 2.593865 1.944785 -1.985875 20.682692 0.818924 6514800771908365440ll 0
344.656184 -49.534772 0.628915 0.889479 1.940431 -3.696893 19.793657 0.705841 6514791043807536640ll 0
344.511648 -49.649283 -0.207105 0.893748 1.930925 -1.706055 19.921440 1.347300 6514800252217340416ll 0
344.612664 -49.692291 -0.160443 0.686834 1.626154 -1.494805 19.629148 0.869978 6514788191950175744ll 0
344.984384 -49.670634 0.689409 0.296463 0.323603 -3.662313 18.164686 1.065714 6514879180831714560ll 0
344.623854 -49.698764 0.570742 0.445942 2.039730 -3.405692 18.893059 1.960491 6514788123229665280ll 0
344.759016 -49.642541 0.624140 1.258836 1.458738 -4.177232 20.064137 0.547737 6514789325820546176ll 0
344.758936 -49.531953 -0.213007 0.534364 2.998356 -2.281907 17.782461 1.433481 6514883952539370624ll 0
344.879255 -49.704856 0.718363 0.938945 1.807638 -4.510694 19.914455 0.600969 6514785786767453696ll 0
344.753068 -49.626591 -1.010774 0.705772 3.089570 -2.058188 19.547232 0.826813 6514789360180295168ll 0
344.958938 -49.741566 0.922287 1.246889 0.687000 -3.515047 20.285410 0.641878 6514784755975278592ll 0
344.812788 -49.735966 0.915781 0.588480 1.825814 -1.780496 19.523012 0.881731 6514784378018159872ll 0
344.730043 -49.663193 1.560955 1.426914 1.874027 -1.141815 20.386459 0.607180 6514789188381579136ll 0
344.586335 -49.756220 0.590283 0.400569 0.460239 -2.048867 19.101387 1.702635 6514782110275415552ll 0
344.785576 -49.817813 0.410591 0.445232 1.319672 -4.617233 19.330477 1.075792 6514777815308079104ll 0
344.621756 -49.813157 0.451954 0.710528 0.088333 -2.398923 19.949482 0.769018 6514781251281917312ll 0
344.518042 -49.772446 0.080130 0.412746 0.468530 -1.443085 18.694813 0.985218 6514793380269589120ll 0
344.593269 -49.649175 -0.641872 1.827318 1.672774 -2.876482 20.456295 0.652065 6514800458375771392ll 0
344.781145 -49.551534 0.326972 0.246035 2.077580 -2.962368 17.501329 0.890350 6514883785036663168ll 0
344.713507 -49.757450 -0.087601 1.035056 1.164505 -1.269356 20.272751 0.625868 6514787023718001536ll 0
# total: 29