nectarchain.makers.component.charges_component.ChargesComponent#

class ChargesComponent(**kwargs: Any)[source]#

Bases: ArrayDataComponent

Methods

`add_traits`	Dynamically add trait attributes to the HasTraits instance.
`broken_pixels_hg`	Returns an array of broken pixels for high gain for the specified trigger type.
`broken_pixels_lg`	Returns an array of broken pixels for low gain for the specified trigger type.
`charges_hg`	Returns the charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.
`charges_lg`	Returns the charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.
`class_config_rst_doc`	Generate rST documentation for this class' config options.
`class_config_section`	Get the config section for this class.
`class_get_help`	Get the help string for this class in ReST format.
`class_get_trait_help`	Get the helptext string for a single trait.
`class_own_trait_events`	Get a dict of all event handlers defined on this class, not a parent.
`class_own_traits`	Get a dict of all the traitlets defined on this class, not a parent.
`class_print_help`	Get the help string for a single trait and print it.
`class_trait_names`	Get a list of all the names of this class' traits.
`class_traits`	Get a `dict` of all the traits of this class.
`compute_charges`	Compute charge from waveforms.
`create_from_waveforms`	Create a ChargesContainer object from waveforms using the specified charge extraction method.
`event_id`	Returns an array of event IDs for the specified trigger type.
`event_type`	Returns an array of event types for the specified trigger type.
`finish`	Create an output container for the specified trigger type and method.
`from_name`	Obtain an instance of a subclass via its name
`get_current_config`	return the current configuration as a dict (e.g. the values of all traits, even if they were not set during configuration).
`has_trait`	Returns True if the object has a trait with the specified name.
`histo_hg`	Computes histogram of high gain charges from a ChargesContainer object.
`histo_lg`	Computes histogram of low gain charges from a ChargesContainer object.
`hold_trait_notifications`	Context manager for bundling trait change notifications and cross validation.
`merge`	Method to merge 2 ArrayDataContainer into one single ArrayDataContainer.
`merge_along_slices`
`multiplicity`	Returns an array of multiplicities for the specified trigger type.
`nevents`	Returns the number of events for the specified trigger type.
`non_abstract_subclasses`	Get a dict of all non-abstract subclasses of this class.
`notify_change`	Notify observers of a change event
`observe`	Setup a handler to be called when a trait changes.
`on_trait_change`	DEPRECATED: Setup a handler to be called when a trait changes.
`peak_hg`	Returns the peak charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.
`peak_lg`	Returns the peak charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.
`section_names`	return section names as a list
`select_charges_hg`	Selects the charges from the ChargesContainer object for the given pixel_id and returns the result transposed.
`select_charges_lg`	Selects the charges from the ChargesContainer object for the given pixel_id and returns the result transposed.
`select_container_array_field`	Selects specific fields from an ArrayDataContainer object based on a given list of pixel IDs.
`set_trait`	Forcibly sets trait attribute, including read-only attributes.
`setup_instance`
`sort`	Sorts the charges in a ChargesContainer object based on the specified method.
`trait_defaults`	Return a trait's default value or a dictionary of them
`trait_events`	Get a `dict` of all the event handlers of this class.
`trait_has_value`	Returns True if the specified trait has a value.
`trait_metadata`	Get metadata values for trait by key.
`trait_names`	Get a list of all the names of this class' traits.
`trait_values`	A `dict` of trait names and their values.
`traits`	Get a `dict` of all the traits of this class.
`trig_pattern`	Returns an array of trigger patterns for the specified trigger type.
`trig_pattern_all`	Returns an array of trigger patterns for all events for the specified trigger type.
`ucts_busy_counter`	Returns an array of UCTS busy counters for the specified trigger type.
`ucts_event_counter`	Returns an array of UCTS event counters for the specified trigger type.
`ucts_timestamp`	Returns an array of UCTS timestamps for the specified trigger type.
`unobserve`	Remove a trait change handler.
`unobserve_all`	Remove trait change handlers of any type for the specified name.
`update_config`	Update config and load the new values

Attributes

`CAMERA`
`CAMERA_NAME`	The camera name
`SubComponents`	List of Component names that are used inside current component, this is used to resolve recursively the configurable traits defined in sub-components.
`TEL_ID`	The telescope ID
`config`	A trait whose value must be an instance of a specified class.
`cross_validation_lock`	A contextmanager for running a block with our cross validation lock set to True.
`extractor_kwargs`	The kwargs to be pass to the charge extractor method
`method`	the charge extraction method
`npixels`
`nsamples`	Returns a deep copy of the nsamples attribute.
`parent`	A trait whose value must be an instance of a specified class.
`pixels_id`
`run_number`
`subarray`

SubComponents#: List of Component names that are used inside current component, this is used to resolve recursively the configurable traits defined in sub-components. Possible values: []

charges_hg(trigger)[source]#

Returns the charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.

Parameters:

triggerEventType: The specific trigger type.

Returns:

: np.ndarray: The charges for the specific trigger type.

charges_lg(trigger)[source]#

Returns the charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.

Parameters:

triggerEventType: The specific trigger type.

Returns:

: np.ndarray: The charges for the specific trigger type.

static compute_charges(waveformsContainer, channel, subarray, method='FullWaveformSum', tel_id=None, **kwargs)[source]#

Compute charge from waveforms.

Parameters:

waveformContainerWaveformsContainer: The waveforms container object.
channelint: The channel to compute charges for.
methodstr, optional: The charge extraction method to use (default is FullWaveformSum).
kwargs: Additional keyword arguments to pass to the charge extraction method.

Returns:

: tuple: A tuple containing the computed charges and peak times.

Raises:

ArgumentError: If the extraction method is unknown.
ArgumentError: If the channel is unknown.

static create_from_waveforms(waveformsContainer, subarray=<class 'ctapipe.instrument.subarray.SubarrayDescription'>, method='FullWaveformSum', **kwargs)[source]#

Create a ChargesContainer object from waveforms using the specified charge extraction method.

Return type:

ChargesContainer

Parameters:

waveformsContainerWaveformsContainer: The waveforms container object.
methodstr, optional: The charge extraction method to use (default is FullWaveformSum).
kwargs: Additional keyword arguments to pass to the charge extraction method.

Returns:

chargesContainerChargesContainer: The charges container object containing the computed charges and peak times.

extractor_kwargs#: The kwargs to be pass to the charge extractor method

finish(*args, **kwargs)[source]#

Create an output container for the specified trigger type and method.

Parameters:

trigger_type (EventType): The type of trigger.
method (str): The name of the charge extraction method.
args: Additional positional arguments.
kwargs: Additional keyword arguments.

Returns:

list: A list of ChargesContainer objects.

static histo_hg(chargesContainer, n_bins=1000, autoscale=True)[source]#

Computes histogram of high gain charges from a ChargesContainer object.

Return type:

MaskedArray

Parameters:

chargesContainerChargesContainer: A ChargesContainer object that holds information about charges from a specific run.
n_binsint, optional: The number of bins in the charge histogram. Defaults to 1000.
autoscalebool, optional: Whether to automatically detect the number of bins based on the pixel data. Defaults to True.

Returns:

: ma.masked_array: A masked array representing the charge histogram, where each row corresponds to an event and each column corresponds to a bin in the histogram.

static histo_lg(chargesContainer, n_bins=1000, autoscale=True)[source]#

Computes histogram of low gain charges from a ChargesContainer object.

Return type:

MaskedArray

Parameters:

chargesContainerChargesContainer: A ChargesContainer object that holds information about charges from a specific run.
n_binsint, optional: The number of bins in the charge histogram. Defaults to 1000.
autoscalebool, optional: Whether to automatically detect the number of bins based on the pixel data. Defaults to True.

Returns:

: ma.masked_array: A masked array representing the charge histogram, where each row corresponds to an event and each column corresponds to a bin in the histogram.

method#: the charge extraction method

peak_hg(trigger)[source]#

Returns the peak charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.

Parameters:

triggerEventType: The specific trigger type.

Returns:

: np.ndarray: The peak charges for the specific trigger type.

peak_lg(trigger)[source]#

Returns the peak charges for a specific trigger type as a NumPy array of unsigned 16-bit integers.

Parameters:

triggerEventType: The specific trigger type.

Returns:

: np.ndarray: The peak charges for the specific trigger type.

static select_charges_hg(chargesContainer, pixel_id)[source]#

Selects the charges from the ChargesContainer object for the given pixel_id and returns the result transposed.

Parameters:

chargesContainerChargesContainer: The ChargesContainer object.
pixel_idnp.ndarray: An array of pixel IDs.

Returns:

resnp.ndarray: The selected charges from the ChargesContainer object for the given pixel_id, transposed.

static select_charges_lg(chargesContainer, pixel_id)[source]#

Selects the charges from the ChargesContainer object for the given pixel_id and returns the result transposed.

Parameters:

chargesContainerChargesContainer: The ChargesContainer object.
pixel_idnp.ndarray: An array of pixel IDs.

Returns:

resnp.ndarray: The selected charges from the ChargesContainer object for the given pixel_id, transposed.

static sort(chargesContainer, method='event_id')[source]#

Sorts the charges in a ChargesContainer object based on the specified method.

Parameters:

chargesContainerChargesContainer: The ChargesContainer object to be sorted.
methodstr, optional: The sorting method. Defaults to ‘event_id’.

Returns:

ChargesContainer:: A new ChargesContainer object with the charges sorted based on the specified method.

Raises:

ArgumentError:: If the specified method is not valid.