plot function
dc.plot.plotpsd
+ PSD plot.
python
plotpsd(data, dt, ndivide=1, window=hanning, overlap_half=False, ax=None, **kwargs)
dc.plot.allanvar
+ Allan variance plot.
python
plotallanvar(data, dt, tmax=10, ax=None, **kwargs)
cube function
dc.makecontinuum
+ Values of channel coordinates of the continuum (`masterid`, `kidid`, `kidtp`, and `kidfq`) have been changed.
dc.savefits
+ [**Bug Fixed**] The header for the az/el data has been corrected.
i/o function
dc.io.loaddfits
+ A kwargs of `findR` has been implemented. When this is True, loaddfits will automatically find R positions according to some user-defined parameters. `Rth` is the threshold above which data will be categorized as R, and `skyth` is the threshold below which data will be categorized as SKY. This calculation depends on one representative channel, which specified via a keyword of `ch`. `cutnum` determines the number of data points which will be not used at the edges.
+ A kwargs of `still` has been implemented. When this is True, loaddfits will change scantypes to SCAN and OFF. The cycle is specified via a keyword of `period`.
model function
dc.models.pca
+ [**Bug Fixed**] [**IMPORTANT**] The implementation of PCA had problems, but the bugs are removed.
+ None can be used as `mode`.
dc.models.r_subtraction
+ Apply R-subtraction.
python
dc.models.r_subtraction(onarray, offarray, rarray, mode='mean')
dc.models.r_division
+ Apply R-subtraction.
python
dc.models.r_division(onarray, offarray, rarray, mode='mean')
utils
dc.utils.psd
+ Calculate PSD.
python
dc.utils.psd(data, dt, ndivide=1, window=hanning, overlap_half=False)
dc.utils.allan_variance
+ Calculate Allan variance.
python
allan_variance(data, dt, tmax=10)