Closed ziyuanzhao2000 closed 1 year ago
It looks to me like your input DataSet
was already in spacegroup 19, and that all Miller indices were already in the asymmetric unit for that spacegroup:
In [1]: import reciprocalspaceship as rs
In [2]: ds = rs.read_mtz("EF_10MV_cm_chainwise_zero_subtraj_0_avg.mtz")
In [3]: ds.spacegroup
Out[3]: <gemmi.SpaceGroup("P 21 21 21")>
In [4]: all(rs.utils.in_asu(ds.get_hkls(), ds.spacegroup))
Out[4]: True
As such, ds.hkl_to_asu()
did not use any symmetry operations to move the reflections to the asymmetric unit (or equivalently, just used the identity operator which is M/ISYM=1
).
I'm not quite sure what you were trying to accomplish, but calling DataSet.hkl_to_asu()
with data that is already in the proper ASU will always return a column with M/ISYM==1.
Hi Jack, thanks for the quick response! You are correct, and I now see this behavior is expected. I got myself a bit confused before because I have a different way of computing the reflections that gives a dataset with P1 symmetry and will give additional M/ISYM labels that allow me to assess data quality.
Attached is an example mtz file generated from my workflow and it's computed from a structure that ideally should belong to P 21 21 21 (19) space group. So I expect to see four unique M/ISYM labels one for each symop from the space group. However, from the image below we see that
hkl_to_asu
did not assign the M/ISYM labels. Please kindly let me know if I'm doing anything wrong here and how to get the expected result. Thank you!EF_10MV_cm_chainwise_zero_subtraj_0_avg.mtz.zip