code: def _simulate_noise_evoked(evoked, cov, iir_filter, random_state):
      noise = evoked.copy()
      noise.data[:] = 0
      return _add_noise(
          noise, cov, iir_filter, random_state, allow_subselection=False
      )
  
file_path: mne-python/mne/simulation/evoked.py
imports: import math
  import numpy
  from scipy.signal import lfilter
  from .._fiff.pick import pick_info
  from ..cov import Covariance, compute_whitener
  from ..epochs import BaseEpochs
  from ..evoked import Evoked
  from ..forward import apply_forward
  from ..io import BaseRaw
  from ..utils import _check_preload, _validate_type, check_random_state, logger, verbose
label_desc: Use image node_id 2 for calling a global function with example usage: _simulate_noise_evoked(evoked, cov, iir_filter, random_state) and returns: _add_noise