atomiq.components.sinara.sampler

Classes

Sampler	Sinara Sampler 8 Channel ADC
SamplerChannel	Single ADC Channel of a Sinara Sampler

Module Contents

class atomiq.components.sinara.sampler.Sampler(sampler_device, default_gain=[np.int32(0)] * 8, *args, **kwargs)

Bases: atomiq.components.electronics.adc.ADC

Sinara Sampler 8 Channel ADC

This class represents the Sinara Sampler with all its 8 channels. It allows to sample all channels at once and to read out the result.

Parameters:

• sampler_device -- The ARTIQ device for the sampler from the device_db, e.g. @sampler0

• default_gain (list[numpy.int32]) -- List with 8 entries setting the default gain for the 8 channels at startup. (default [0, .. , 0])

kernel_invariants

_sampler_device

default_gain

_prerun()

Specify here what should be done for this component before the run starts. In contrast to the _build() method, the _prerun() routine is executed on the core device before the actual experiment starts.

set_gain(channel, gain=np.int32(0))

Parameters:

• channel (numpy.int32)

• gain (numpy.int32)

_measure(target_arr)

Measure a single sample on all 8 channels at once.

This function advances the timeline by 175 us

Parameters:

target_arr (TArray(TFloat))

Return type:

TArray(TFloat)

_shape_changing_arguments = ('num_chan',)

Names of the constructor arguments whose value (not only their type) changes the shape of the component, i.e. change the types and signatures of class members. The component factory gives objects of the same shape a shared class (and thus a shared compiler specialization). Arguments listed here are compared by value. Definitions along the inheritance hierarchy are merged.

num_chan

invalid_return

_build()

Specify here what should be done for this component in the build phase

measure(samples=np.int32(1), channel='')

Measures all channels and returns the mean for a given number of subsequent samples.

This method advances the timeline by samples * sampling_time

Parameters:

• samples (numpy.int32) -- number of samples to take and average

• channel (str)

Return type:

TArray(TFloat)

experiment

identifier

debug_output = False

core

_kernel_invariants

_prepare_done = False

_build_done = False

_hooks_done = []

children = []

__in_build = True

channels: list[str]

measurement_channels()

class atomiq.components.sinara.sampler.SamplerChannel(default_gain=np.int32(0), *args, **kwargs)

Bases: atomiq.components.electronics.adc.ADCChannel

Single ADC Channel of a Sinara Sampler

This class represents a single channel of a Sinara Sampler as an ADCChannel.

Parameters:

default_gain (numpy.int32) -- Default gain to set for the Sampler channel at startup. (default 0)

adc_device: Sampler

set_gain(gain)

Set the gain for the Sampler Channel

Parameters:

gain (numpy.int32) -- Gain in machine units (0: 1, ..., 3: 1000)

kernel_invariants

channel

measure(samples=np.int32(1), cached=False, channel='')

Parameters:

• samples (numpy.int32)

• cached (bool)

• channel (str)

Return type:

float

experiment

identifier

debug_output = False

core

_kernel_invariants

_prepare_done = False

_build_done = False

_hooks_done = []

children = []

__in_build = True

channels: list[str]

measurement_channels()