BLISS simulation devices configuration¶

This chapter explains how to configure simulation BLISS devices:

motor
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

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.

Note

At ESRF, see: http://wikiserv.esrf.fr/bliss/index.php/Lima_ds_installation#Device_Servers

The corresponding YAML configuration file looks like:

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