mne.make_ad_hoc_cov(info, std=None, verbose=None)[source]

Create an ad hoc noise covariance.

infoinstance of Info

Measurement info.

stddict of float | None

Standard_deviation of the diagonal elements. If dict, keys should be 'grad' for gradiometers, 'mag' for magnetometers and 'eeg' for EEG channels. If None, default values will be used (see Notes).

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

covinstance of Covariance

The ad hoc diagonal noise covariance for the M/EEG data channels.


The default noise values are 5 fT/cm, 20 fT, and 0.2 µV for gradiometers, magnetometers, and EEG channels respectively.

New in version 0.9.0.