def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.')
modules.append(make_cached_subloader_module(steps.super_load, prefix=INSTRUMENT+'.'))
modules.append(make_cached_subloader_module(steps.ncnr_load, prefix=INSTRUMENT+'.'))
# Define data types
refldata = df.DataType(INSTRUMENT+".refldata", ReflData)
poldata = df.DataType(INSTRUMENT+".poldata", PolarizationData)
deadtime = df.DataType(INSTRUMENT+".deadtime", DeadTimeData)
footprint = df.DataType(INSTRUMENT+".footprint.params", FootprintData)
#import json
#import os
#from pkg_resources import resource_string, resource_listdir
#template_names = [fn for fn in resource_listdir('dataflow', 'templates') if fn.endswith(".json")]
#templates = [json.loads(resource_string('dataflow', 'templates/' + tn)) for tn in template_names]
#template_path = resource_path("../dataflow/templates")
#template_names = [fn for fn in os.listdir(template_path) if fn.endswith(".json")]
#templates = [json.loads(open(os.path.join(template_path, tn), 'r').read()) for tn in template_names]
# Define instrument
refl1d = df.Instrument(
id=INSTRUMENT,
name='NCNR reflectometer',
menu=[('steps', modules)],
datatypes=[refldata, poldata, deadtime, footprint],
template_defs = templates.get_templates(INSTRUMENT),
)
# Register instrument
df.register_instrument(refl1d)
return refl1d
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.')
# Define data types
vsans_raw = df.DataType(INSTRUMENT + ".raw", RawVSANSData)
vsans_realspace = df.DataType(INSTRUMENT + ".realspace",
VSansDataRealSpace)
vsans_qspace = df.DataType(INSTRUMENT + ".qspace", VSansDataQSpace)
vsans_1d = df.DataType(INSTRUMENT + '.v1d', VSans1dData)
#vsans_metadata = df.DataType(INSTRUMENT+".metadata", Metadata)
params = df.DataType(INSTRUMENT + ".params", Parameters)
# Define instrument
vsans = df.Instrument(
id=INSTRUMENT,
name='NCNR Very Small Angle Neutron Scattering (VSANS) instrument',
menu=[('steps', modules)],
datatypes=[vsans_raw, vsans_realspace, vsans_qspace, params, vsans_1d],
template_defs=df.load_templates(templates),
)
# Register instrument
df.register_instrument(vsans)
return vsans
def define_instrument():
# Define modules
actions = get_modules(steps) + get_modules(candor_steps)
modules = make_modules(actions, prefix=INSTRUMENT + '.')
modules.append(
make_cached_subloader_module(steps.super_load,
prefix=INSTRUMENT + '.'))
modules.append(
make_cached_subloader_module(steps.ncnr_load, prefix=INSTRUMENT + '.'))
# Define data types
refldata = df.DataType(INSTRUMENT + ".refldata", ReflData)
poldata = df.DataType(INSTRUMENT + ".poldata", PolarizationData)
psddata = df.DataType(INSTRUMENT + ".psddata", PSDData)
candordata = df.DataType(INSTRUMENT + ".candordata", Candor)
deadtime = df.DataType(INSTRUMENT + ".deadtime", DeadTimeData)
footprint = df.DataType(INSTRUMENT + ".footprint.params", FootprintData)
flux = df.DataType(INSTRUMENT + ".flux.params", FluxData)
backgroundfield = df.DataType(INSTRUMENT + ".backgroundfield.params",
BackgroundFieldData)
plottable = df.DataType(INSTRUMENT + ".plot", Plottable)
#import json
#import os
#from pkg_resources import resource_string, resource_listdir
#template_names = [fn for fn in resource_listdir('dataflow', 'templates') if fn.endswith(".json")]
#templates = [json.loads(resource_string('dataflow', 'templates/' + tn)) for tn in template_names]
#template_path = resource_path("../dataflow/templates")
#template_names = [fn for fn in os.listdir(template_path) if fn.endswith(".json")]
#templates = [json.loads(open(os.path.join(template_path, tn), 'r').read()) for tn in template_names]
# Define instrument
refl1d = df.Instrument(
id=INSTRUMENT,
name='NCNR reflectometer',
menu=[('steps', modules)],
datatypes=[
refldata,
poldata,
psddata,
candordata,
deadtime,
footprint,
flux,
backgroundfield,
plottable,
],
template_defs=df.load_templates(templates),
)
# Register instrument
df.register_instrument(refl1d)
return refl1d
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.')
# Define data types
sans2d = df.DataType(INSTRUMENT+".sans2d", SansData)
sans1d = df.DataType(INSTRUMENT+".sans1d", Sans1dData)
params = df.DataType(INSTRUMENT+".params", Parameters)
#offset_data = df.DataType(INSTRUMENT+".offset_data", dict)
# Define instrument
sans = df.Instrument(
id=INSTRUMENT,
name='NCNR SANS',
menu=[('steps', modules)],
datatypes=[sans2d, sans1d, params],
template_defs = templates.get_templates(INSTRUMENT),
)
# Register instrument
df.register_instrument(sans)
return sans
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.')
# Define data types
usansraw = df.DataType(INSTRUMENT+".raw", RawData)
usansdata = df.DataType(INSTRUMENT+".data", USansData)
usanscor = df.DataType(INSTRUMENT+".cor", USansCorData)
params = df.DataType(INSTRUMENT+".params", Parameters)
# Define instrument
usans = df.Instrument(
id=INSTRUMENT,
name='NCNR Ultra-Small Angle Neutron Scattering Instrument (USANS)',
menu=[('steps', modules)],
datatypes=[usansdata, params, usanscor], # usansraw],
template_defs=df.load_templates(templates),
)
# Register instrument
df.register_instrument(usans)
return usans
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.')
# Define data types
sans2d = df.DataType(INSTRUMENT + ".sans2d", SansData)
sans1d = df.DataType(INSTRUMENT + ".sans1d", Sans1dData)
params = df.DataType(INSTRUMENT + ".params", Parameters)
#offset_data = df.DataType(INSTRUMENT+".offset_data", dict)
# Define instrument
sans = df.Instrument(
id=INSTRUMENT,
name='NCNR SANS',
menu=[('steps', modules)],
datatypes=[sans2d, sans1d, params],
template_defs=templates.get_templates(INSTRUMENT),
)
# Register instrument
df.register_instrument(sans)
return sans
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.')
# Define data types
ospec2d = df.DataType(INSTRUMENT+".ospec2d", FilterableMetaArray)
ospec1d = df.DataType(INSTRUMENT+".ospec1d", FilterableMetaArray)
params = df.DataType(INSTRUMENT+".params", Parameters)
#offset_data = df.DataType(INSTRUMENT+".offset_data", dict)
# Define instrument
ospec = df.Instrument(
id=INSTRUMENT,
name='NCNR offspecular',
menu=[('steps', modules)],
datatypes=[ospec2d, ospec1d, params],
template_defs = templates.get_templates(INSTRUMENT),
)
# Register instrument
df.register_instrument(ospec)
return ospec
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT+'.')
# Define data types
dcsraw = df.DataType(INSTRUMENT+".raw", RawData)
eqdata = df.DataType(INSTRUMENT+".eq", EQData)
ef2thetadata = df.DataType(INSTRUMENT+".ef2th", EfTwoThetaData)
eq1ddata = df.DataType(INSTRUMENT+".eq1d", DCS1dData)
#params = df.DataType(INSTRUMENT+".params", Parameters)
# Define instrument
dcs = df.Instrument(
id=INSTRUMENT,
name='NCNR Disk Chopper Spectrometer',
menu=[('steps', modules)],
datatypes=[dcsraw, eqdata, eq1ddata, ef2thetadata], # params],
template_defs=templates.get_templates(INSTRUMENT),
)
# Register instrument
df.register_instrument(dcs)
return dcs
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.')
# Define data types
dcsraw = df.DataType(INSTRUMENT + ".raw", RawData)
eqdata = df.DataType(INSTRUMENT + ".eq", EQData)
ef2thetadata = df.DataType(INSTRUMENT + ".ef2th", EfTwoThetaData)
eq1ddata = df.DataType(INSTRUMENT + ".eq1d", DCS1dData)
#params = df.DataType(INSTRUMENT+".params", Parameters)
# Define instrument
dcs = df.Instrument(
id=INSTRUMENT,
name='NCNR Disk Chopper Spectrometer',
menu=[('steps', modules)],
datatypes=[dcsraw, eqdata, eq1ddata, ef2thetadata], # params],
template_defs=df.load_templates(templates),
)
# Register instrument
df.register_instrument(dcs)
return dcs
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.')
# Define data types
ospec2d = df.DataType(INSTRUMENT + ".ospec2d", FilterableMetaArray)
#ospec1d = df.DataType(INSTRUMENT+".ospec1d", FilterableMetaArray)
ospecnd = df.DataType(INSTRUMENT + ".ospecnd", FilterableMetaArray)
params = df.DataType(INSTRUMENT + ".params", Parameters)
#offset_data = df.DataType(INSTRUMENT+".offset_data", dict)
# Define instrument
ospec = df.Instrument(
id=INSTRUMENT,
name='NCNR offspecular',
menu=[('steps', modules)],
datatypes=[ospec2d, ospecnd, params],
template_defs=df.load_templates(templates),
)
# Register instrument
df.register_instrument(ospec)
return ospec
def define_instrument():
# Define modules
modules = make_modules(steps.ALL_ACTIONS, prefix=INSTRUMENT + '.')
modules.append(
make_cached_subloader_module(steps.super_load,
prefix=INSTRUMENT + '.'))
modules.append(
make_cached_subloader_module(steps.ncnr_load, prefix=INSTRUMENT + '.'))
# Define data types
refldata = df.DataType(INSTRUMENT + ".refldata", ReflData)
poldata = df.DataType(INSTRUMENT + ".poldata", PolarizationData)
deadtime = df.DataType(INSTRUMENT + ".deadtime", DeadTimeData)
footprint = df.DataType(INSTRUMENT + ".footprint.params", FootprintData)
flux = df.DataType(INSTRUMENT + ".flux.params", FluxData)
#import json
#import os
#from pkg_resources import resource_string, resource_listdir
#template_names = [fn for fn in resource_listdir('dataflow', 'templates') if fn.endswith(".json")]
#templates = [json.loads(resource_string('dataflow', 'templates/' + tn)) for tn in template_names]
#template_path = resource_path("../dataflow/templates")
#template_names = [fn for fn in os.listdir(template_path) if fn.endswith(".json")]
#templates = [json.loads(open(os.path.join(template_path, tn), 'r').read()) for tn in template_names]
# Define instrument
refl1d = df.Instrument(
id=INSTRUMENT,
name='NCNR reflectometer',
menu=[('steps', modules)],
datatypes=[refldata, poldata, deadtime, footprint, flux],
template_defs=templates.get_templates(INSTRUMENT),
)
# Register instrument
df.register_instrument(refl1d)
return refl1d
