Created
January 21, 2017 03:08
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# you have two options: | |
# assume you are using diff_x for x-motor and diff_y for y-motor. | |
# CHECK with wh_pos() !!! (but I think it is) | |
import bluesky.plans as bp | |
from cycler import cycler | |
# option1 : continuous trajactory with sneak pattern. scan diff_x from 1 to 3 with 3 stepes, same for diff_y | |
# change the argument as needed | |
_v1 = bp.outer_product_scan([xpd_configuration['area_det'], diff_x, diff_y], diff_x, 1, 3, 3, diff_y, 1, 3, 3, True) | |
grid_scan_v1 = bp.subs_wrapper(_v1, LiveTable([xpd_configuration['area_det'], diff_x, diff_y])) | |
# option2 : more flexible scan stpes but no sneak pattern scan diff_x from 1 to 3 with 3 stepes, same for diff_y | |
# change the argument as needed | |
traj1 = cycler(diff_x, [1,2,3]) | |
traj2 = cycler(diff_y, [1,2,3]) | |
_v2 = bp.scan_nd([xpd_configuration['area_det'], diff_x, diff_y], traj1*traj2) | |
grid_scan_v2 = bp.subs_wrapper(_v2, LiveTable([xpd_configuration['area_det'], diff_x, diff_y])) | |
# both can be run with xrun | |
xrun(<sample_ind>, grid_scan_v1) # or v2, depends on you | |
# after scan | |
# save tiffs | |
save_last_tiff() | |
# save livetable | |
tb = db.get_table(db[-1]) # a panda DF | |
tb.to_csv(<full_filename_you_want>) |
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