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BLISS simulation devices configuration

This chapter explains how to configure simulation BLISS devices:

  • motor
  • shutter
  • counter
  • MCA
  • Lima Camera

Such simulated devices can be used to: train users, test procedures or to perform unit tests

Motor

To create a simulation motor, you have to use the mockup class:

controller:
  class: mockup
  axes:
     - velocity: 1
       name: simot1
       acceleration: 10
       steps_per_unit: 100

Do not forget to declare the plugin to use in a __init__.yml file:

 plugin: emotion

This simulation axis can now be used by BLISS:

BLISS [5]: sm = config.get("simot1")
BLISS [6]: sm.position
  Out [6]: 2.0
BLISS [7]: sm.move(4)
BLISS [8]: sm.position
  Out [8]: 4.0

Calculational motor

controller:
    class: calc_motor_mockup
    module: mockup
    axes:
        -
          name: $m1
          tags: real real_mot
        -
          name: calc_mot
          tags: calc_mot
          s_param: 3.1415

Shutter

To create a simulation shutter, you have to use a dedicated controller:

controller:
    - name:  my_shutter
      plugin: bliss
      class: MockupShutter
      package: bliss.controllers.shutters.mockup

      # Initial state of the shutter
      state: CLOSED                       # Default is UNKNOWN

      # Behaviour of the shutter
      opening_time: 1                     # In second, default is 0
      closing_time: 0.5                   # In second, default is 0

Diode

A simple simulation diode returning a [0.01; 100.0] value can be configured as:

-
  name: savoie
  plugin: bliss
  class: simulation_diode

Counter

A pretty generic simulation counter is provided by simulation_counter module to define a fake counter.

This fake counter is usable in a ct or in a default scan.

It returns floats numbers that can be:

  • constant
  • random
  • following a gaussian distribution

If included in a scan (except timescan/loopscan without predefined number of points), it returns values according to a user defined distribution:

  • FLAT (constant value)
  • GAUSSIAN

If included in a ct or a timescan, it returns either a constant value.

Returned values can be altered by adding a random “noise”.

Parameters

  • <distribution>: ‘GAUSSIAN’ | ‘FLAT’
  • <noise_factor>:
    • >= 0.0
    • add a random noise to the distribution
    • 0 means ‘no random noise added’
    • noise added is only positive.
  • <height_factor>:
    • >= 0.0
    • multiplication factor to adjust height (Y)

Parameters if using GAUSSIAN:

  • <mu_offset>: shitfs mean value by <mu_offset>(X-offset)
  • <sigma_factor>: standard deviation adjustement factor.

Note

TODO: adding an option to be able to furnish to counter a user-defined array for tests on a deterministic curve.

Examples

sim_ct_1 counter is configured to generate a gaussian curve:

  • centered in 0 (mu = 0.0)
  • with a standard deviation (fwhm = ~2.35 * sigma) of 1 (sigma_factor = 1.0)
  • scaled in height by 100 ( height_factor: 100.0)

NB: the real height depends also on the sigma value.

-
  name: sim_ct_1
  plugin: bliss
  class: SimulationCounter
  distribution: GAUSSIAN
  mu_offset: 0.0
  sigma_factor: 1.0
  height_factor: 100.0
  noise_factor: 0.0

sim_ct_2 counter is configured to generate a noisy gaussian curve:

  • centered in -1 (mu = -1.0)
  • with a standard deviation of 0.4 (sigma_factor = 0.4) (narrower than sim_ct_1’s curve)
  • scaled in height by 100 ( height_factor: 100.0)
  • with a noise factor of 0.1
    -
      name: sim_ct_2
      plugin: bliss
      class: SimulationCounter
      distribution: GAUSSIAN
      mu_offset: -1.0
      sigma_factor: 0.4
      height_factor: 100.0
      noise_factor: 0.1
    

sim_ct_3 counter is configured to depict a constant value:

  • of value 12.0 ( height_factor: 12.0)
  • without noise (noise_factor: 0.0)
-
  name: sim_ct_3
  plugin: bliss
  class: SimulationCounter
  distribution: FLAT
  height_factor: 12.0
  noise_factor: 0.0

sim_ct_4 counter is configured to depict a random value:

  • with a base line of 12.0 ( height_factor: 12.0)
  • with positive noise (noise_factor: 1.01)
-
  name: sim_ct_4
  plugin: bliss
  class: SimulationCounter
  distribution: FLAT
  height_factor: 12.0
  noise_factor: 1.01

MCA

To create a simulation MCA, just use SimulatedMCA class:

name: simul_mca
module: mca
class: SimulatedMCA
plugin: bliss

Lima Device

Any Tango lima device (for example: id99/limaccd/simul_cam) server can be used in a BLISS session.

Make sure the server is well running. If you don’t have a camera installed, use the Lima Simulator.

The corresponding YAML configuration file looks like:

name: simul_cam
class: Lima
tango_url: id99/limaccd/simul_cam