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I noticed that DPPP (tested on v4.2) does only flag NaN when msout is set to a new measurement set. However, according to the documentation: "However, a name '.' or a name equal to the name of the input MS means that the input MS will always be updated, even if no step is given. This is useful if only flagging of NaN-s in the MS needs to be done."
DPPP msin=my.ms msout=. steps=[] # NaN data not flagged
DPPP msin=my.ms msout=newms.ms steps=[] # NaN data flagged
The text was updated successfully, but these errors were encountered:
I noticed that DPPP (tested on v4.2) does only flag NaN when msout is set to a new measurement set. However, according to the documentation: "However, a name '.' or a name equal to the name of the input MS means that the input MS will always be updated, even if no step is given. This is useful if only flagging of NaN-s in the MS needs to be done."
DPPP msin=my.ms msout=. steps=[] # NaN data not flagged
DPPP msin=my.ms msout=newms.ms steps=[] # NaN data flagged
The text was updated successfully, but these errors were encountered: