bjoined

[source]

Object for appending bdata objects. Attribute access works through lists (see examples below). Histogram counts are summed over to emulate data taken within a single run. bdata asymmetry calculations operate on these summed histograms. Additional functionality for proper weighted means of asymmetries of the individual runs is also given.

Object Map

Signature:

bjoined(bdata_list)

Examples:

blist = [bdata(r, year=2019) for r in range(40010, 40013)] # read runs 40010-40012
bjnd = bjoined(blist)                                      # combine these runs

Functions:

In addition to the bdata functions, bjoined also provides:

Signature	Description
asym_mean(*asym_args,**asym_kwargs)	Take weighted mean of individual asymmetries. Arguments are passed to bdata.asym()

Misc Features

Special Rules For Attributes and Lists

Attribute access passes through list objects. For example, if we have created the bjnd object from the previous example, we run bjnd.camp we get a list of mdict objects. We can access the magnetic field strength as bjnd.camp.b_field, or a list of the mean values bjnd.camp.b_field.mean despite the fact that at each stage a list is returned. Attribute lookup is treated the same as in bdata so that the above could be shortened to bjnd.b_field.mean, with some small penalty to run time.