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dataflow_ncnr_refl_module_defs.js
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dataflow_ncnr_refl_module_defs.js
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var instruments = instruments || {};
instruments["ncnr.refl"] = instruments["ncnr.refl"] || {};
instruments["ncnr.refl"].modules = {
"ncnr.refl.super_load": {
"description": "Load a list of nexus files from the NCNR data server.",
"fields": [
{
"multiple": true,
"description": "List of files to open. Fileinfo is a structure with { path: location on server, mtime: expected modification time }.",
"datatype": "fileinfo",
"required": true,
"label": "Filelist",
"default": "None",
"id": "filelist"
},
{
"multiple": false,
"description": "Automatically calculate the angular divergence of the beam",
"datatype": "bool",
"required": true,
"label": "Auto Divergence",
"default": "True",
"id": "auto_divergence"
},
{
"multiple": false,
"description": "Automatically correct the detector saturation",
"datatype": "bool",
"required": true,
"label": "Auto Detector Saturation",
"default": "False",
"id": "auto_detector_saturation"
},
{
"multiple": false,
"description": "Automatically correct the monitor saturation",
"datatype": "bool",
"required": true,
"label": "Auto Monitor Saturation",
"default": "False",
"id": "auto_monitor_saturation"
},
{
"multiple": false,
"description": "set the intent of the files as with the mark_intent filter",
"datatype": "str",
"required": true,
"label": "Intent",
"default": "auto",
"id": "intent"
}
],
"name": "Super Load",
"terminals": [
{
"use": "out",
"multiple": true,
"description": "All entries of all files in the list.",
"datatype": "ncnr.refl.refldata",
"required": true,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-02-08",
"action_id": "reflred.steps.steps.super_load",
"id": "ncnr.refl.super_load",
"icon": null
},
"ncnr.refl.monitor_saturation": {
"description": "Correct the monitor dead time from stored saturation curve.",
"fields": [],
"name": "Monitor Saturation",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "Uncorrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": true,
"description": "Dead-time corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.monitor_saturation",
"id": "ncnr.refl.monitor_saturation",
"icon": null
},
"ncnr.refl.ncnr_load": {
"description": "Load a list of nexus files from the NCNR data server.",
"fields": [
{
"multiple": true,
"description": "List of files to open. Fileinfo is a structure with { path: location on server, mtime: expected modification time }.",
"datatype": "fileinfo",
"required": true,
"label": "Filelist",
"default": "None",
"id": "filelist"
}
],
"name": "Ncnr Load",
"terminals": [
{
"use": "out",
"multiple": true,
"description": "All entries of all files in the list.",
"datatype": "ncnr.refl.refldata",
"required": true,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.ncnr_load",
"id": "ncnr.refl.ncnr_load",
"icon": null
},
"ncnr.refl.smooth_slits": {
"description": "Align slits with a moving window 1-D polynomial least squares filter.Updates *slit1.x*, *slit2.x* and *angular_resolution* attributes of theslit measurements so they all use a common set of points.Updates divergence automatically after smoothing.",
"fields": [
{
"multiple": false,
"description": "polynomial degree on smoothing filter",
"datatype": "int",
"required": false,
"label": "Degree",
"default": "1",
"id": "degree"
},
{
"multiple": false,
"description": "number of consecutive points to use in the fit. Odd sized *span* is preferred. *span* must be larger than *degree*. *degree=1* and *span=2* is equivalent to linear interpolation.",
"datatype": "int",
"required": false,
"label": "Span",
"default": "2",
"id": "span"
},
{
"multiple": false,
"description": "size within which slits can be merged.",
"datatype": "float:mm",
"required": false,
"label": "Dx",
"default": "0.01",
"id": "dx"
}
],
"name": "Smooth Slits",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "slits to align and smooth",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Datasets",
"default": null,
"id": "datasets"
},
{
"use": "out",
"multiple": true,
"description": "aligned and smoothed slits.",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Outputs",
"default": null,
"id": "outputs"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.smooth_slits",
"id": "ncnr.refl.smooth_slits",
"icon": null
},
"ncnr.refl.normalize": {
"description": "Estimate the detector count rate.*base* can be monitor, time, power, or none for no normalization.For example, if base='monitor' then the count rate will be countsper monitor count. Note that operations that combine datasets requirethe same normalization on the points.If *base* is auto then the default will be chosen, which is 'monitor'if the monitor exists, otherwise it is 'time'.When viewing data, you sometimes want to scale it to a nice numbersuch that the number of counts displayed for the first point isapproximately the number of counts on the detector.",
"fields": [
{
"multiple": false,
"description": "how to convert from counts to count rates",
"datatype": "auto|monitor|time|power|none",
"required": false,
"label": "Base",
"default": "auto",
"id": "base"
}
],
"name": "Normalize",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "data to normalize",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "data with count rate rather than counts",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.normalize",
"id": "ncnr.refl.normalize",
"icon": null
},
"ncnr.refl.rescale": {
"description": "Rescale the count rate by some scale and uncertainty.",
"fields": [
{
"multiple": false,
"description": "amount to scale",
"datatype": "float:",
"required": false,
"label": "Scale",
"default": "1.0",
"id": "scale"
},
{
"multiple": false,
"description": "scale uncertainty for gaussian error propagation",
"datatype": "float:",
"required": false,
"label": "Dscale",
"default": "0.0",
"id": "dscale"
}
],
"name": "Rescale",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "data to scale",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "scaled data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.rescale",
"id": "ncnr.refl.rescale",
"icon": null
},
"ncnr.refl.mask_specular": {
"description": "Identify and mask out specular points.This defines the *mask* attribute of *data* as including all points thatare not specular or not previously masked. The points are not actuallyremoved from the data, since this operation is done by *join*.",
"fields": [],
"name": "Mask Specular",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "background data which may contain specular point",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "masked data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.mask_specular",
"id": "ncnr.refl.mask_specular",
"icon": null
},
"ncnr.refl.align_background": {
"description": "Determine the Qz value associated with the background measurement.The *offset* flag determines which background points are matchedto the sample points. It can be 'sample' if background ismeasured using an offset from the sample angle, or 'detector'if it is offset from detector angle. If *offset* is 'auto', thenwe guess whether it is a offset from sample or detector.For 'auto' alignment, we can only distinguish relative and constant offsets,not whether it is offset from sample or detector, so we must rely onconvention. If the offset is constant for each angle, then it is assumedto be a sample offset. If the offset is proportional to the angle (andtherefore offset/angle is constant), then it is assumed to be a detectoroffset. If neither condition is met, it is assumed to be a sample offset.The 'auto' test is robust: 90% of the points should be within 5% of themedian value of the vector for the offset to be considered a constant.",
"fields": [
{
"multiple": false,
"description": "angle which determines $q_z$",
"datatype": "auto|sample|detector",
"required": false,
"label": "Offset",
"default": "auto",
"id": "offset"
}
],
"name": "Align Background",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "background data with unknown $q$",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "background with known $q$",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.align_background",
"id": "ncnr.refl.align_background",
"icon": null
},
"ncnr.refl.save": {
"description": "Save data to a particular file",
"fields": [
{
"multiple": false,
"description": "name of the file, or 'auto' to use the basename",
"datatype": "str",
"required": false,
"label": "Name",
"default": "auto",
"id": "name"
},
{
"multiple": false,
"description": "file extension, or 'auto' to use the id of the last step",
"datatype": "str",
"required": false,
"label": "Ext",
"default": "auto",
"id": "ext"
},
{
"multiple": false,
"description": "data path, or 'auto' to use the current directory",
"datatype": "str",
"required": false,
"label": "Path",
"default": ".",
"id": "path"
}
],
"name": "Save",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "data to save",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.save",
"id": "ncnr.refl.save",
"icon": null
},
"ncnr.refl.back_reflection": {
"description": "Reverse the sense of the reflection angles, making positive anglesnegative and vice versa.",
"fields": [],
"name": "Back Reflection",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "Uncorrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "Angle corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.back_reflection",
"id": "ncnr.refl.back_reflection",
"icon": null
},
"ncnr.refl.divide_intensity": {
"description": "Scale data by incident intensity.Data is matched according to angular resolution, assuming all data withthe same angular resolution was subject to the same incident intensity.",
"fields": [],
"name": "Divide Intensity",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "specular, background or subtracted data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "in",
"multiple": false,
"description": "intensity data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Base",
"default": null,
"id": "base"
},
{
"use": "out",
"multiple": false,
"description": "reflected intensity",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.divide_intensity",
"id": "ncnr.refl.divide_intensity",
"icon": null
},
"ncnr.refl.join": {
"description": "Join operates on a list of datasets, returning a list with one datasetper intent/polarization. When operating on a single dataset, it joinsrepeated points into single points.*tolerance* (default=0.05) is a scale factor on $\\Delta heta$ used todetermine whether two angles are equivalent. For a given tolerance$\\epsilon$, a point at incident angle $ heta_1$ can be joinedwith one with incident angle $ heta_2$ when$| heta_1 - heta_2| < \\epsilon \\cdot \\Delta heta$.The join algorithm is greedy, so if you have a sequence of points withindividual separation less than $\\epsilon\\cdot\\Delta heta$ but totalspread greater than $\\epsilon\\cdot\\Delta heta$, they will be joinedinto multiple points with the final with the final point having worsestatistics than the prior points.*order* is the sort order of the files that are joined. The firstfile in the sorted list determines the metadata such as the basefile name for the joined file.The joined datasets will be sorted as appropriate for the themeasurement intent. Masked points will be removed.",
"fields": [
{
"multiple": false,
"description": "allowed separation between points while still joining them to a single point; this is relative to the angular resolution of the each point",
"datatype": "float:",
"required": false,
"label": "Tolerance",
"default": "0.05",
"id": "tolerance"
},
{
"multiple": false,
"description": "order determines which file is the base file, supplying the metadata for the joind set",
"datatype": "file|time|theta|slit|none",
"required": false,
"label": "Order",
"default": "file",
"id": "order"
}
],
"name": "Join",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "data to join",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": true,
"description": "joined data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.join",
"id": "ncnr.refl.join",
"icon": null
},
"ncnr.refl.absolute_angle": {
"description": "Assume all reflection is off the top surface, reversing the senseof negative angles.",
"fields": [],
"name": "Absolute Angle",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "Uncorrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "Angle corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.absolute_angle",
"id": "ncnr.refl.absolute_angle",
"icon": null
},
"ncnr.refl.subtract_background": {
"description": "Subtract the background datasets from the specular dataset.The background+ and background- signals are removed from the list ofdata sets, averaged, interpolated, and subtracted from the specular.If there is no specular, then the backgrounds are simply removed andthere is no further action. If there are no backgrounds, then thespecular is sent through unchanged. Slit scans and rocking curvesare not affected.This correction only operates on a list of datasets. A single datasetwhich contains both specular and background, such as a PSD measurement,must first be filtered through a correction to separate the specularand background into a pair of datasets.Background subtraction is applied independently to the differentpolarization cross sections.",
"fields": [],
"name": "Subtract Background",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "specular data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "in",
"multiple": false,
"description": "plus-offset background data",
"datatype": "ncnr.refl.refldata",
"required": true,
"label": "Backp",
"default": null,
"id": "backp"
},
{
"use": "in",
"multiple": false,
"description": "minus-offset background data",
"datatype": "ncnr.refl.refldata",
"required": true,
"label": "Backm",
"default": null,
"id": "backm"
},
{
"use": "out",
"multiple": false,
"description": "background subtracted specular data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.subtract_background",
"id": "ncnr.refl.subtract_background",
"icon": null
},
"ncnr.refl.correct_polarization": {
"description": "Correct data for polarizer and flipper efficiencies.",
"fields": [
{
"multiple": false,
"description": "correct spinflip data if available",
"datatype": "bool",
"required": false,
"label": "Spinflip",
"default": "True",
"id": "spinflip"
}
],
"name": "Correct Polarization",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "polarized data to be corrected",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "in",
"multiple": false,
"description": "estimated polarization efficiency",
"datatype": "ncnr.refl.poldata",
"required": false,
"label": "Polarization",
"default": null,
"id": "polarization"
},
{
"use": "out",
"multiple": false,
"description": "polarization corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.correct_polarization",
"id": "ncnr.refl.correct_polarization",
"icon": null
},
"ncnr.refl.mask_points": {
"description": "Identify and mask out user-specified points.This defines the *mask* attribute of *data* as including all points thatare not previously masked. The points are not actuallyremoved from the data, since this operation is done by *join*.",
"fields": [
{
"multiple": true,
"description": "sparse dict of masked data points, as {\"0\": [2,4,5], \"5\": [0]}",
"datatype": "indexlist",
"required": true,
"label": "Mask Indices",
"default": "None",
"id": "mask_indices"
}
],
"name": "Mask Points",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "background data which may contain specular point",
"datatype": "ncnr.refl.refldata",
"required": true,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": true,
"description": "masked data",
"datatype": "ncnr.refl.refldata",
"required": true,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2016-02-08",
"action_id": "reflred.steps.steps.mask_points",
"id": "ncnr.refl.mask_points",
"icon": null
},
"ncnr.refl.nop": {
"description": "No operation.",
"fields": [],
"name": "Nop",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "Input data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": true,
"description": "Unaltered data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-31",
"action_id": "reflred.steps.steps.nop",
"id": "ncnr.refl.nop",
"icon": null
},
"ncnr.refl.group_by_intent": {
"description": "Split a bundle into multiple bundles using intent.",
"fields": [],
"name": "Group By Intent",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "data files with intent marked",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": true,
"description": "specular measurements",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Specular",
"default": null,
"id": "specular"
},
{
"use": "out",
"multiple": true,
"description": "positive offset background measurements",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Backp",
"default": null,
"id": "backp"
},
{
"use": "out",
"multiple": true,
"description": "negative offset background measurements",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Backm",
"default": null,
"id": "backm"
},
{
"use": "out",
"multiple": true,
"description": "beam intensity measurements",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Intensity",
"default": null,
"id": "intensity"
},
{
"use": "out",
"multiple": true,
"description": "rocking curve measurements",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Rock",
"default": null,
"id": "rock"
},
{
"use": "out",
"multiple": true,
"description": "everything else",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Other",
"default": null,
"id": "other"
}
],
"version": "",
"action_id": "reflred.steps.steps.group_by_intent",
"id": "ncnr.refl.group_by_intent",
"icon": null
},
"ncnr.refl.theta_offset": {
"description": "Correct the theta offset of the data, shifting sample and detectorangle and updating $q_x$ and $q_z$.",
"fields": [
{
"multiple": false,
"description": "amount of shift to add to sample angle and subtract from detector angle",
"datatype": "float:degree",
"required": false,
"label": "Offset",
"default": "0.0",
"id": "offset"
}
],
"name": "Theta Offset",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "Uncorrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "Offset corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.theta_offset",
"id": "ncnr.refl.theta_offset",
"icon": null
},
"ncnr.refl.detector_dead_time": {
"description": "Correct the detector dead time from the fitted dead time.If *tau_NP* and *tau_P* are non-zero, then use them. If a dead_timefit result is supplied, then use it. If the dead time constants aregiven in the data file, then use them. Otherwise don't do anydead time correction.",
"fields": [
{
"multiple": false,
"description": "non-paralyzing dead time constant",
"datatype": "float:us",
"required": false,
"label": "Nonparalyzing",
"default": "0.0",
"id": "nonparalyzing"
},
{
"multiple": false,
"description": "paralyzing dead time constant",
"datatype": "float:us",
"required": false,
"label": "Paralyzing",
"default": "0.0",
"id": "paralyzing"
}
],
"name": "Detector Dead Time",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "Uncorrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "in",
"multiple": false,
"description": "Dead time information",
"datatype": "ncnr.refl.deadtime",
"required": true,
"label": "Dead Time",
"default": null,
"id": "dead_time"
},
{
"use": "out",
"multiple": false,
"description": "Dead-time corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.detector_dead_time",
"id": "ncnr.refl.detector_dead_time",
"icon": null
},
"ncnr.refl.divergence": {
"description": "Estimate divergence from slit openings.",
"fields": [],
"name": "Divergence",
"terminals": [
{
"use": "in",
"multiple": false,
"description": "data without resolution estimate",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": false,
"description": "data with resolution estimate",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.divergence",
"id": "ncnr.refl.divergence",
"icon": null
},
"ncnr.refl.detector_saturation": {
"description": "Correct the detector dead time from stored saturation curve.",
"fields": [],
"name": "Detector Saturation",
"terminals": [
{
"use": "in",
"multiple": true,
"description": "Uncorrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Data",
"default": null,
"id": "data"
},
{
"use": "out",
"multiple": true,
"description": "Dead-time corrected data",
"datatype": "ncnr.refl.refldata",
"required": false,
"label": "Output",
"default": null,
"id": "output"
}
],
"version": "2015-12-17",
"action_id": "reflred.steps.steps.detector_saturation",
"id": "ncnr.refl.detector_saturation",
"icon": null
},
"ncnr.refl.fit_dead_time": {
"description": "Fit detector dead time constants (paralyzing and non-paralyzing) frommeasurement of attenuated and unattenuated data for a range of count rates.",
"fields": [
{
"multiple": false,
"description": "Measured tube",
"datatype": "detector|monitor",
"required": false,
"label": "Source",
"default": "detector",
"id": "source"
},
{
"multiple": false,
"description": "Dead-time mode",
"datatype": "P|NP|mixed|auto",
"required": false,
"label": "Mode",
"default": "auto",
"id": "mode"
}
],
"name": "Fit Dead Time",
"terminals": [
{
"use": "in",