probe.data_loaders.snsdata - SNS Data

Liquids	Loader for reduced data from the SNS Liquids instrument.
Magnetic	Loader for reduced data from the SNS Magnetic instrument.
QRL_to_data	Convert data to T, L, R
SNSData
TOF_to_data	Convert TOF data to neutron probe.
boltzmann_feather	Return expected intensity as a function of wavelength given the TOF feather range and the total number of counts.
has_columns
intensity_from_spline
load	Return a probe for SNS data.
parse_sns_file	Parse SNS reduced data, returning header and data.
write_file	Save probe as SNS reduced file.

SNS data loaders

The following instruments are defined:

Liquids, Magnetic

These are resolution.Pulsed classes tuned with default instrument parameters and loaders for reduced SNS data. See resolution for details.

class refl1d.probe.data_loaders.snsdata.Liquids(**kw)

Bases: SNSData, Pulsed

Loader for reduced data from the SNS Liquids instrument.

T = None

TOF_range = (6000, 60000)

Thi = 90

Tlo = 90

calc_dT(T, slits, **kw)

calc_slits(**kw)

Determines slit openings from measurement pattern.

If slits are fixed simply return the same slits for every angle, otherwise use an opening range [Tlo, Thi] and the value of the slits at the start of the opening to define the slits. Slits below Tlo and above Thi can be specified separately.

T incident angle Tlo, Thi angle range over which slits are opening slits_at_Tlo openings at the start of the range, or fixed opening slits_below, slits_above openings below and above the range

Use fixed_slits is available, otherwise use opening slits.

dLoL = 0.02

d_moderator = 14.85

d_s1 = 2086.0

d_s2 = 230.0

classmethod defaults()

Return default instrument properties as a printable string.

feather = array([[ 2.02555 ,  2.29927 ,  2.57299 ,  2.87409 ,  3.22993 ,  3.58577 ,          4.07847 ,  4.5438  ,  5.11861 ,  5.7208  ,  6.37774 ,  7.19891 ,          8.04745 ,  9.06022 , 10.1825  , 11.4142  , 12.8102  , 14.3431  ],        [20.6369  , 23.6943  , 23.6943  , 21.1146  , 15.5732  , 12.8981  ,          9.4586  ,  6.59236 ,  4.68153 ,  3.05732 ,  1.91083 ,  1.24204 ,          0.955414,  0.573248,  0.477707,  0.382166,  0.191083,  0.286624]])

fixed_slits = None

instrument = 'Liquids'

load(filename, **kw)

magnetic_probe(Aguide=270.0, shared_beam=True, **kw)

Simulate a polarized measurement probe.

Returns a probe with Q, angle, wavelength and the associated uncertainties, but not any data.

Guide field angle Aguide can be specified, as well as keyword arguments for the geometry of the probe cross sections such as slit settings slits and T to define the angular divergence and dLoL to define the wavelength resolution.

probe(**kw)

Simulate a measurement probe.

Returns a probe with Q, angle, wavelength and the associated uncertainties, but not any data.

You can override instrument parameters using key=value. In particular, slit settings slits and T define the angular divergence and dLoL defines the wavelength resolution.

radiation = 'neutron'

resolution(L, dL, **kw)

Return the resolution of the measurement. Needs T, L, dL specified as keywords.

sample_broadening = 0

sample_width = 10000000000.0

simulate(sample, uncertainty=1, **kw)

Simulate a run with a particular sample.

Parameters:

sampleStack

Reflectometry model

T[float] | °

List of angles to be measured, such as [0.15, 0.4, 1, 2].

slits[float] or [(float, float)] | mm

Slit settings for each angle.

uncertainty = 1float or [float] | %

Incident intensity is set so that the median dR/R is equal to uncertainty, where R is the idealized reflectivity of the sample.

dLoL = 0.02: float

Wavelength resolution

normalize = Trueboolean

Whether to normalize the intensities

theta_offset = 0float | °

Sample alignment error

background = 0float

Background counts per incident neutron (background is assumed to be independent of measurement geometry).

back_reflectivity = Falseboolean

Whether beam travels through incident medium or through substrate.

back_absorption = 1float

Absorption factor for beam traveling through substrate. Only needed for back reflectivity measurements.

slits = None

slits_above = None

slits_at_Tlo = None

slits_below = None

wavelength = (2.0, 15.0)

class refl1d.probe.data_loaders.snsdata.Magnetic(**kw)

Bases: SNSData, Pulsed

Loader for reduced data from the SNS Magnetic instrument.

T = None

TOF_range = (0, inf)

Thi = 90

Tlo = 90

calc_dT(T, slits, **kw)

calc_slits(**kw)

Determines slit openings from measurement pattern.

If slits are fixed simply return the same slits for every angle, otherwise use an opening range [Tlo, Thi] and the value of the slits at the start of the opening to define the slits. Slits below Tlo and above Thi can be specified separately.

T incident angle Tlo, Thi angle range over which slits are opening slits_at_Tlo openings at the start of the range, or fixed opening slits_below, slits_above openings below and above the range

Use fixed_slits is available, otherwise use opening slits.

dLoL = 0.02

d_s1 = 190.5

d_s2 = 35.56

classmethod defaults()

Return default instrument properties as a printable string.

fixed_slits = None

instrument = 'Magnetic'

load(filename, **kw)

magnetic_probe(Aguide=270.0, shared_beam=True, **kw)

Simulate a polarized measurement probe.

Returns a probe with Q, angle, wavelength and the associated uncertainties, but not any data.

Guide field angle Aguide can be specified, as well as keyword arguments for the geometry of the probe cross sections such as slit settings slits and T to define the angular divergence and dLoL to define the wavelength resolution.

probe(**kw)

Simulate a measurement probe.

Returns a probe with Q, angle, wavelength and the associated uncertainties, but not any data.

You can override instrument parameters using key=value. In particular, slit settings slits and T define the angular divergence and dLoL defines the wavelength resolution.

radiation = 'neutron'

resolution(L, dL, **kw)

Return the resolution of the measurement. Needs T, L, dL specified as keywords.

sample_broadening = 0

sample_width = 10000000000.0

simulate(sample, uncertainty=1, **kw)

Simulate a run with a particular sample.

Parameters:

sampleStack

Reflectometry model

T[float] | °

List of angles to be measured, such as [0.15, 0.4, 1, 2].

slits[float] or [(float, float)] | mm

Slit settings for each angle.

uncertainty = 1float or [float] | %

Incident intensity is set so that the median dR/R is equal to uncertainty, where R is the idealized reflectivity of the sample.

dLoL = 0.02: float

Wavelength resolution

normalize = Trueboolean

Whether to normalize the intensities

theta_offset = 0float | °

Sample alignment error

background = 0float

Background counts per incident neutron (background is assumed to be independent of measurement geometry).

back_reflectivity = Falseboolean

Whether beam travels through incident medium or through substrate.

back_absorption = 1float

Absorption factor for beam traveling through substrate. Only needed for back reflectivity measurements.

slits = None

slits_above = None

slits_at_Tlo = None

slits_below = None

wavelength = (1.8, 14)

refl1d.probe.data_loaders.snsdata.QRL_to_data(instrument, header, data)

Convert data to T, L, R

class refl1d.probe.data_loaders.snsdata.SNSData

Bases: object

load(filename, **kw)

refl1d.probe.data_loaders.snsdata.TOF_to_data(instrument, header, data)

Convert TOF data to neutron probe.

Wavelength is set from the average of the times at the edges of the bins, not the average of the wavelengths. Wavelength resolution is set assuming the wavelength at the edges of the bins defines the full width at half maximum.

The correct answer is to look at the wavelength distribution within the bin including effects of pulse width and intensity as a function wavelength and use that distribution, or a gaussian approximation thereof, when computing the resolution effects.

refl1d.probe.data_loaders.snsdata.boltzmann_feather(L, counts=100000, range=None)

Return expected intensity as a function of wavelength given the TOF feather range and the total number of counts.

TOF feather is approximately a boltzmann distribution with gaussian convolution. The following looks pretty enough; don’t know how well it corresponds to the actual SNS feather.

refl1d.probe.data_loaders.snsdata.has_columns(header, v)

refl1d.probe.data_loaders.snsdata.intensity_from_spline(Lrange, dLoL, feather)

refl1d.probe.data_loaders.snsdata.load(filename, instrument=None, **kw)

Return a probe for SNS data.

refl1d.probe.data_loaders.snsdata.parse_sns_file(filename)

Parse SNS reduced data, returning header and data.

header dictionary of fields such as ‘data’, ‘title’, ‘instrument’ data 2D array of data

refl1d.probe.data_loaders.snsdata.write_file(filename, probe, original=None, date=None, title=None, notes=None, run=None, charge=None)

Save probe as SNS reduced file.