74 lines
2.1 KiB
Python
Executable file
74 lines
2.1 KiB
Python
Executable file
#!/usr/bin/env python3
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from gettext import install
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from logging import basicConfig, getLogger
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from warnings import filterwarnings
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from backscattering_analyzer.acquisition import AcquisitionType
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from backscattering_analyzer.experiment import Experiment
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from rich.logging import RichHandler
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from matplotlib.pyplot import figure, show
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install(__name__)
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filterwarnings("error")
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basicConfig(
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level = "INFO",
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format = "%(message)s",
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datefmt = "[%X]",
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handlers = [RichHandler()],
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)
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logger = getLogger(__name__)
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date = "2024_06_07"
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bancs = [
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"SNEB",
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"SWEB",
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"SDB1",
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"SDB2",
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]
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experiment = Experiment(
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bench = bancs[0],
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date = date,
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values_file = "values-coupling.toml",
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)
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reference = experiment.data.reference.sensibility.psd().sqrt()
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projections = [experiment.compute_projection(
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type = AcquisitionType.REFERENCE,
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)]
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for banc in bancs[1:]:
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experiment = Experiment(
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bench = banc,
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date = date,
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values_file = "values-coupling.toml",
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)
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projections.append(experiment.compute_projection( # type: ignore[reportUnknownVariable]
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type = AcquisitionType.REFERENCE,
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))
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fig = figure()
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axes = fig.add_subplot(1, 1, 1) # type: ignore[reportUnknownVariable]
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axes.loglog( # type: ignore[reportUnknownVariable]
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reference.x,
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reference.y,
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)
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for index in range(len(bancs)):
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axes.loglog( # type: ignore[reportUnknownVariable]
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projections[index].x,
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projections[index].y,
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label = _("{bench} projection").format(bench = bancs[index]) # type: ignore[reportUnknownVariable]
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)
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axes.set_xlabel(_("frequencies")) # type: ignore[reportUnknownVariable]
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axes.set_ylabel(_("sensibility ($\\frac{1}{\\sqrt{Hz}}$)")) # type: ignore[reportUnknownVariable]
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axes.set_title(_("Projection pour un interféromètre dans une condition nominale")) # type: ignore[reportUnknownVariable]
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temp = axes.set_xlim(5, 100)
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temp = axes.set_ylim(10e-28, 10e-18)
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temp = axes.legend() # type: ignore[reportUnknownVariable]
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axes.grid(True, "both") # type: ignore[reportUnknownVariable]
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show()
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