atomiq.components.coil module

class atomiq.components.coil.Coil(current_source, calibration, switch=None, *args, **kwargs)

Bases: Component, Parametrizable, Switchable

A single coil driven by a current source.

It is characterized by a calibration that returns the B field for a given current through the coil.

Parameters:

• current_source (CurrentSource) -- The current source that drives the coil

• calibration (Calibration) -- The conversion between current in the coil and magnetic field at the point of interest.

• switch (Switchable) -- An optional switch to switch on and off the current in the coil. If none is given and the current source is switchable, the current source is used for switching. If no switch is given and the current source is not switchable, an error is raised.

A Parametrizable is an entity that can be controlled by one or more continuous parameter(s)

kernel_invariants = {'calibration', 'current_source', 'switch'}

set_field(field)

Set the current_source attached to the coil by using the given calibration to translate between field and current.

Parameters:

field -- Magnetic field to be set in units as dictated by the calibration

on()

Use the switch (or current_source, see Coil) to turn on the coil.

off()

Use the switch (or current_source, see Coil) to turn off the coil.

append_to_dataset(key, value)

Append a value to a dataset.

The target dataset must be a list (i.e. support append()), and must have previously been set from this experiment.

The broadcast/persist/archive mode of the given key remains unchanged from when the dataset was last set. Appended values are transmitted efficiently as incremental modifications in broadcast mode.

build()

Should be implemented by the user to request arguments.

Other initialization steps such as requesting devices may also be performed here.

There are two situations where the requested devices are replaced by DummyDevice() and arguments are set to their defaults (or None) instead: when the repository is scanned to build the list of available experiments and when the dataset browser artiq_browser is used to open or run the analysis stage of an experiment. Do not rely on being able to operate on devices or arguments in build().

Datasets are read-only in this method.

Leftover positional and keyword arguments from the constructor are forwarded to this method. This is intended for experiments that are only meant to be executed programmatically (not from the GUI).

call_child_method(method, *args, **kwargs)

Calls the named method for each child, if it exists for that child, in the order of registration.

Parameters:

• method (str) -- Name of the method to call

• args -- Tuple of positional arguments to pass to all children

• kwargs -- Dict of keyword arguments to pass to all children

get_argument(key, processor, group=None, tooltip=None)

Retrieves and returns the value of an argument.

This function should only be called from build.

Parameters:

• key -- Name of the argument.

• processor -- A description of how to process the argument, such as instances of BooleanValue and NumberValue.

• group -- An optional string that defines what group the argument belongs to, for user interface purposes.

• tooltip -- An optional string to describe the argument in more detail, applied as a tooltip to the argument name in the user interface.

get_dataset(key, default=<class 'artiq.language.environment.NoDefault'>, archive=True)

Returns the contents of a dataset.

The local storage is searched first, followed by the master storage (which contains the broadcasted datasets from all experiments) if the key was not found initially.

If the dataset does not exist, returns the default value. If no default is provided, raises KeyError.

By default, datasets obtained by this method are archived into the output HDF5 file of the experiment. If an archived dataset is requested more than one time or is modified, only the value at the time of the first call is archived. This may impact reproducibility of experiments.

Parameters:

archive -- Set to False to prevent archival together with the run's results. Default is True.

get_dataset_metadata(key, default=<class 'artiq.language.environment.NoDefault'>)

Returns the metadata of a dataset.

Returns dictionary with items describing the dataset, including the units, scale and precision.

This function is used to get additional information for displaying the dataset.

See set_dataset() for documentation of metadata items.

get_device(key)

Creates and returns a device driver.

get_device_db()

Returns the full contents of the device database.

interactive(title='')

Request arguments from the user interactively.

This context manager returns a namespace object on which the method setattr_argument() should be called, with the usual semantics.

When the context manager terminates, the experiment is blocked and the user is presented with the requested argument widgets. After the user enters values, the experiment is resumed and the namespace contains the values of the arguments.

If the interactive arguments request is cancelled, raises CancelledArgsError.

is_on(channel=None)

Parameters:

channel (artiq.compiler.types.TMono('str', OrderedDict()))

mutate_dataset(key, index, value)

Mutate an existing dataset at the given index (e.g. set a value at a given position in a NumPy array)

If the dataset was created in broadcast mode, the modification is immediately transmitted.

If the index is a tuple of integers, it is interpreted as slice(*index). If the index is a tuple of tuples, each sub-tuple is interpreted as slice(*sub_tuple) (multi-dimensional slicing).

pulse(pulsetime, channel='')

Parameters:

• pulsetime (artiq.compiler.types.TMono('float', OrderedDict()))

• channel (artiq.compiler.types.TMono('str', OrderedDict()))

register_child(child)

set_dataset(key, value, *, unit=None, scale=None, precision=None, broadcast=False, persist=False, archive=True)

Sets the contents and handling modes of a dataset.

Datasets must be scalars (bool, int, float or NumPy scalar) or NumPy arrays.

Parameters:

• unit -- A string representing the unit of the value.

• scale -- A numerical factor that is used to adjust the value of the dataset to match the scale or units of the experiment's reference frame when the value is displayed.

• precision -- The maximum number of digits to print after the decimal point. Set precision=None to print as many digits as necessary to uniquely specify the value. Uses IEEE unbiased rounding.

• broadcast -- the data is sent in real-time to the master, which dispatches it.

• persist -- the master should store the data on-disk. Implies broadcast.

• archive -- the data is saved into the local storage of the current run (archived as a HDF5 file).

set_default_scheduling(priority=None, pipeline_name=None, flush=None)

Sets the default scheduling options.

This function should only be called from build.

set_parameter(value, channel=None)

Parameters:

• value (artiq.compiler.types.TMono('float', OrderedDict()))

• channel (artiq.compiler.types.TMono('str', OrderedDict()))

setattr_argument(key, processor=None, group=None, tooltip=None)

Sets an argument as attribute. The names of the argument and of the attribute are the same.

The key is added to the instance's kernel invariants.

setattr_dataset(key, default=<class 'artiq.language.environment.NoDefault'>, archive=True)

Sets the contents of a dataset as attribute. The names of the dataset and of the attribute are the same.

setattr_device(key)

Sets a device driver as attribute. The names of the device driver and of the attribute are the same.

The key is added to the instance's kernel invariants.

toggle(channel=None)

Parameters:

channel (artiq.compiler.types.TMono('str', OrderedDict()))

class atomiq.components.coil.CoilPair(current_source_coil1, current_source_coil2, calibration_field, calibration_gradient, switch=None, helmholtz_config=1, default_field=0.0, default_gradient=0.0, *args, **kwargs)

Bases: Component, Parametrizable, Switchable

A pair of identical coils driven by a common or two individual current sources.

It is assumed that the pair of coils is placed symmetrically around the region of interest. It is characterized by a calibration (field_calibration) for the returns the B field for a given current through the coil and a calibration of the field gradient

Parameters:

• current_source_coil1 (CurrentSource) -- The current source for the first coil.

• current_source_coil2 (CurrentSource) -- The current source for the second coil. If the second coil is tied to the same current source as the first coil, specify the same current source here. Use the helmholtz_config parameter to specifiy the b-field orientation of the second coil.

• field_calibration -- Calibration that gives the B field as a function of the current at the position of interest if the coilpair is in Helmholtz configuration

• gradient_calibration -- Calibration that gives the B field gradient as a function of the current difference between the coils at the position of interest if the coilpair is in anti-Helmholtz configuration

• switch (Switchable) -- Switch that switches the coil pair on and off. If none is given the current source is used to switch the coils (if it supports switching). (default None)

• helmholtz_config (TInt32) -- if set to 1, same polarity of current in both coils creates a Helmholtz field. If set to -1 same polarity of current in both coils creates an anti-Helmholtz field. (default 1)

• default_field (TFloat) -- Field to initialize the coil pair with (defaul 0)

• default_gradient (TFloat) -- Gradient to initialize the coil pair with (default 0)

• calibration_field (Calibration)

• calibration_gradient (Calibration)

A Parametrizable is an entity that can be controlled by one or more continuous parameter(s)

kernel_invariants = {'calibration_field', 'calibration_gradient', 'current_source_coil1', 'current_source_coil2', 'helmholtz_config', 'single_source', 'switch'}

set_field(field, update=True)

Set the field of the coil pair at the position if interest.

Parameters:

• field (artiq.compiler.types.TMono('float', OrderedDict())) -- Field to be set in the units of the calibration field_calibration

• update (artiq.compiler.types.TMono('bool', OrderedDict())) -- immediately apply the change to the hardware

set_gradient(gradient, update=True)

Set the field gradient of the coil pair at the position of interest.

Parameters:

• gradient (artiq.compiler.types.TMono('float', OrderedDict())) -- Field gradient to be set in the units of the calibration field_calibration

• update (artiq.compiler.types.TMono('bool', OrderedDict())) -- immediately apply the change to the hardware

ramp_field_and_gradient(duration, field_end, gradient_end, field_start=nan, gradient_start=nan, ramp_timestep=0.001)

Ramp the field and gradient thereof created by a pair of coils.

Note that this only works as expected with two independent current sources.

This method advances the timeline by duration.

Parameters:

• duration (artiq.compiler.types.TMono('float', OrderedDict())) -- duration of the ramp

• field_end (artiq.compiler.types.TMono('float', OrderedDict())) -- final field at the end of the ramp

• gradient_end (artiq.compiler.types.TMono('float', OrderedDict())) -- final gradient at the end of the ramp

• field_start (artiq.compiler.types.TMono('float', OrderedDict())) -- starting field of the ramp. Current field is used if not given.

• gradient_start (artiq.compiler.types.TMono('float', OrderedDict())) -- starting gradient of the ramp. Current gradient is used if not given.

• ramp_timestep (artiq.compiler.types.TMono('float', OrderedDict())) -- sampling interval of the ramp

ramp_field(duration, field_end, field_start=nan, ramp_timestep=0.001)

Ramp the field created by pair of coils.

This method advances the timeline by duration.

Parameters:

• duration (artiq.compiler.types.TMono('float', OrderedDict())) -- duration of the ramp

• field_end (artiq.compiler.types.TMono('float', OrderedDict())) -- final field at the end of the ramp

• field_start (artiq.compiler.types.TMono('float', OrderedDict())) -- starting field of the ramp. Current field is used if not given.

• ramp_timestep (artiq.compiler.types.TMono('float', OrderedDict())) -- sampling interval of the ramp

ramp_gradient(duration, gradient_end, gradient_start=nan, ramp_timestep=0.001)

Ramp the gradient created by pair of coils.

This method advances the timeline by duration.

Parameters:

• duration (artiq.compiler.types.TMono('float', OrderedDict())) -- duration of the ramp

• gradient_end (artiq.compiler.types.TMono('float', OrderedDict())) -- final gradient at the end of the ramp

• gradient_start (artiq.compiler.types.TMono('float', OrderedDict())) -- starting gradient of the ramp. Current gradient is used if not given.

• ramp_timestep (artiq.compiler.types.TMono('float', OrderedDict())) -- sampling interval of the ramp

on()

off()

append_to_dataset(key, value)

Append a value to a dataset.

The target dataset must be a list (i.e. support append()), and must have previously been set from this experiment.

The broadcast/persist/archive mode of the given key remains unchanged from when the dataset was last set. Appended values are transmitted efficiently as incremental modifications in broadcast mode.

build()

Should be implemented by the user to request arguments.

Other initialization steps such as requesting devices may also be performed here.

There are two situations where the requested devices are replaced by DummyDevice() and arguments are set to their defaults (or None) instead: when the repository is scanned to build the list of available experiments and when the dataset browser artiq_browser is used to open or run the analysis stage of an experiment. Do not rely on being able to operate on devices or arguments in build().

Datasets are read-only in this method.

Leftover positional and keyword arguments from the constructor are forwarded to this method. This is intended for experiments that are only meant to be executed programmatically (not from the GUI).

call_child_method(method, *args, **kwargs)

Calls the named method for each child, if it exists for that child, in the order of registration.

Parameters:

• method (str) -- Name of the method to call

• args -- Tuple of positional arguments to pass to all children

• kwargs -- Dict of keyword arguments to pass to all children

get_argument(key, processor, group=None, tooltip=None)

Retrieves and returns the value of an argument.

This function should only be called from build.

Parameters:

• key -- Name of the argument.

• processor -- A description of how to process the argument, such as instances of BooleanValue and NumberValue.

• group -- An optional string that defines what group the argument belongs to, for user interface purposes.

• tooltip -- An optional string to describe the argument in more detail, applied as a tooltip to the argument name in the user interface.

get_dataset(key, default=<class 'artiq.language.environment.NoDefault'>, archive=True)

Returns the contents of a dataset.

The local storage is searched first, followed by the master storage (which contains the broadcasted datasets from all experiments) if the key was not found initially.

If the dataset does not exist, returns the default value. If no default is provided, raises KeyError.

By default, datasets obtained by this method are archived into the output HDF5 file of the experiment. If an archived dataset is requested more than one time or is modified, only the value at the time of the first call is archived. This may impact reproducibility of experiments.

Parameters:

archive -- Set to False to prevent archival together with the run's results. Default is True.

get_dataset_metadata(key, default=<class 'artiq.language.environment.NoDefault'>)

Returns the metadata of a dataset.

Returns dictionary with items describing the dataset, including the units, scale and precision.

This function is used to get additional information for displaying the dataset.

See set_dataset() for documentation of metadata items.

get_device(key)

Creates and returns a device driver.

get_device_db()

Returns the full contents of the device database.

interactive(title='')

Request arguments from the user interactively.

This context manager returns a namespace object on which the method setattr_argument() should be called, with the usual semantics.

When the context manager terminates, the experiment is blocked and the user is presented with the requested argument widgets. After the user enters values, the experiment is resumed and the namespace contains the values of the arguments.

If the interactive arguments request is cancelled, raises CancelledArgsError.

is_on(channel=None)

Parameters:

channel (artiq.compiler.types.TMono('str', OrderedDict()))

mutate_dataset(key, index, value)

Mutate an existing dataset at the given index (e.g. set a value at a given position in a NumPy array)

If the dataset was created in broadcast mode, the modification is immediately transmitted.

If the index is a tuple of integers, it is interpreted as slice(*index). If the index is a tuple of tuples, each sub-tuple is interpreted as slice(*sub_tuple) (multi-dimensional slicing).

pulse(pulsetime, channel='')

Parameters:

• pulsetime (artiq.compiler.types.TMono('float', OrderedDict()))

• channel (artiq.compiler.types.TMono('str', OrderedDict()))

register_child(child)

set_dataset(key, value, *, unit=None, scale=None, precision=None, broadcast=False, persist=False, archive=True)

Sets the contents and handling modes of a dataset.

Datasets must be scalars (bool, int, float or NumPy scalar) or NumPy arrays.

Parameters:

• unit -- A string representing the unit of the value.

• scale -- A numerical factor that is used to adjust the value of the dataset to match the scale or units of the experiment's reference frame when the value is displayed.

• precision -- The maximum number of digits to print after the decimal point. Set precision=None to print as many digits as necessary to uniquely specify the value. Uses IEEE unbiased rounding.

• broadcast -- the data is sent in real-time to the master, which dispatches it.

• persist -- the master should store the data on-disk. Implies broadcast.

• archive -- the data is saved into the local storage of the current run (archived as a HDF5 file).

set_default_scheduling(priority=None, pipeline_name=None, flush=None)

Sets the default scheduling options.

This function should only be called from build.

set_parameter(value, channel=None)

Parameters:

• value (artiq.compiler.types.TMono('float', OrderedDict()))

• channel (artiq.compiler.types.TMono('str', OrderedDict()))

setattr_argument(key, processor=None, group=None, tooltip=None)

Sets an argument as attribute. The names of the argument and of the attribute are the same.

The key is added to the instance's kernel invariants.

setattr_dataset(key, default=<class 'artiq.language.environment.NoDefault'>, archive=True)

Sets the contents of a dataset as attribute. The names of the dataset and of the attribute are the same.

setattr_device(key)

Sets a device driver as attribute. The names of the device driver and of the attribute are the same.

The key is added to the instance's kernel invariants.

toggle(channel=None)

Parameters:

channel (artiq.compiler.types.TMono('str', OrderedDict()))