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#### Constrained Search configuration example #####
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# An example YAML configuration to modify.
# Call `ConstrainedSearchManager.from_yaml(path)` to load this configuration.
template_volume_path: /some/path/to/template.mrc # Volume of small particle
particle_stack_reference: # This is from the reference particles
  df_path: /some/path/to/particles.csv  # Needs to be readable by pandas
  extracted_box_size: [528, 528]
  original_template_size: [512, 512]
particle_stack_constrained: # This is from the constrained particles
  df_path: /some/path/to/particles.csv  # Needs to be readable by pandas
  extracted_box_size: [528, 528]
  original_template_size: [512, 512]
center_vector: [53.658134, 82.582367, 47.170788] # Vector from reference particle to constrained particle in Angstroms
orientation_refinement_config:
  enabled: true
  rotation_axis_euler_angles: [0.0, 0.0, 0.0] # This is the rotation axis
  base_grid_method: uniform
  psi_step: 1.0   # psi in degrees
  theta_step: 1.0   # theta and phi in degrees
  phi_min: -0.0
  phi_max: 0.0
  theta_min: -8.0
  theta_max: 2.0
  psi_min: -13.0
  psi_max: 2.0
  search_roll_axis: false
  roll_axis: [0,1] # [x,y] This defines the roll axis (orthogonal to the rotation axis).
  roll_step: 2.0 
defocus_search_config:
  enabled: false
preprocessing_filters:
  whitening_filter:
    do_power_spectrum: true
    enabled: true
    max_freq: 0.5  # In terms of Nyquist frequency
    num_freq_bins: null
  bandpass_filter:
    enabled: false
    falloff: null
    high_freq_cutoff: null
    low_freq_cutoff: null
computational_config:
  gpu_ids: 0
  num_cpus: 1