257 lines
7.8 KiB
Markdown
257 lines
7.8 KiB
Markdown
# Backscattering Experimental Data
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Python interface of experimental data for measurements of backscattered light in
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the Virgo interferometer. It can be executed on Cascina server to load online
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data, or use local [hdf5](https://www.hdfgroup.org/solutions/hdf5/) file.
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## Getting started
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This project use [uv](https://docs.astral.sh/uv/) to manage
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dependencies, and [mise](https://mise.jdx.dev/) to manage python
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version and virtual environment.
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> [!NOTE]
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> You can still use pip to manage dependencies using [pyproject.toml](pyproject.toml)
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## Example
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```py
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from backscattering_experimental_data.factory.initializer import (
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InitializerComponent,
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InitializerScatterer,
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)
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from backscattering_experimental_data.factory.measurement import MeasurementFactory
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from backscattering_experimental_data.root import Root
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from backscattering_experimental_data.metadata import MetadataRoot, InjectionFactory
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from gwpy.time import Time
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from astropy.units import s, V, m, min, Hz, dimensionless_unscaled
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from h5py import File
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SR = InitializerComponent(
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name = "SR",
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calibration_factor = 1.15*m/V,
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)
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NE = InitializerComponent(
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name = "NE",
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calibration_factor = 0.97*m/V,
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)
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REF_LOW_NOISE_2 = MeasurementFactory.fetch(
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"Low Noise 2 - reference",
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"Reference data taken before the injection, in Low Noise 2",
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Time("2025-06-17T18:11:00.000000000", format="isot", scale="utc"),
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4 * min,
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[
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InitializerScatterer(
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name = "SDB1",
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calibration_factor = 1.15 * m / V,
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associated_component = SR,
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injection = None,
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),
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InitializerScatterer(
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name = "SDB2",
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calibration_factor = 1.3 * m / V,
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associated_component = SR,
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injection = None,
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),
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InitializerScatterer(
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name = "SWEB",
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calibration_factor = 0.97 * m / V,
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associated_component = NE,
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injection = None,
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),
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],
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True,
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)
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SDB1_LOW_NOISE_2 = MeasurementFactory.fetch(
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"Low Noise 2 - SDB1",
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"Injection of sine line in SDB1's suspension stage F0 in Low Noise 2 (SR is aligned)",
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Time("2025-06-17T18:23:00.000000000", format="isot", scale="utc"),
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4 * min,
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[
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InitializerScatterer(
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name="SDB1",
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calibration_factor=1.15*m/V,
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associated_component=SR,
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injection=InjectionFactory.make(
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type_="sin",
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amplitude=0.7 * dimensionless_unscaled,
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frequency=0.1 * Hz,
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),
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),
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InitializerScatterer(
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name="SDB2",
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calibration_factor=1.3*m/V,
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associated_component=SR,
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injection=None,
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),
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],
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True,
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)
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SWEB_LOW_NOISE_2 = MeasurementFactory.fetch(
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"Low Noise 2 - SWEB",
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"Injection of sine line on SWEB's SBE top stage in Low Noise 2 (SR is aligned)",
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Time("2025-06-17T18:53:00.000000000", format="isot", scale="utc"),
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15 * min,
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[
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InitializerScatterer(
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name = "SWEB",
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calibration_factor=0.97*m/V,
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associated_component=NE,
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injection=InjectionFactory.make(
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type_ = "sin",
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amplitude = 150 * dimensionless_unscaled,
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frequency = 0.2 * Hz,
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)
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),
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],
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True,
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)
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REF_LOW_NOISE_3_1 = MeasurementFactory.fetch(
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"Low Noise 3 - reference 1",
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"Reference data taken after going in Low Noise 3",
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Time("2025-06-17T19:21:00.000000000", format="isot", scale="utc"),
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5 * min,
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[
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InitializerScatterer(
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name = "SDB1",
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calibration_factor = 1.15 * m / V,
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associated_component = SR,
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injection = None,
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),
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InitializerScatterer(
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name = "SDB2",
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calibration_factor = 1.3 * m / V,
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associated_component = SR,
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injection = None,
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),
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InitializerScatterer(
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name = "SWEB",
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calibration_factor = 0.97 * m / V,
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associated_component = NE,
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injection = None,
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),
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],
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True,
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)
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SDB1_LOW_NOISE_3 = MeasurementFactory.fetch(
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"Low Noise 3 - SDB1",
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"Injection of sine line in SDB1's suspension stage F0 in Low Noise 3, so with SR misaligned",
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Time("2025-06-17T19:33:00.000000000", format="isot", scale="utc"),
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4 * min,
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[
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InitializerScatterer(
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name = "SDB1",
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calibration_factor = 1.15 * m / V,
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associated_component = SR,
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injection = InjectionFactory.make(
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type_ = "sin",
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amplitude = 0.7 * dimensionless_unscaled,
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frequency = 0.1 * Hz,
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),
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),
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InitializerScatterer(
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name="SDB2",
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calibration_factor=1.3*m/V,
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associated_component=SR,
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injection=None,
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),
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],
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True,
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)
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SWEB_LOW_NOISE_3 = MeasurementFactory.fetch(
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"Low Noise 3 - SWEB",
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"Injection of sine line on SWEB's top stage suspension in Low Noise 3 (SR misaligned)",
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Time("2025-06-17T19:51:29.000000000", format="isot", scale="utc"),
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5 * min + 31 * s,
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[
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InitializerScatterer(
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name = "SWEB",
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calibration_factor = 0.97 * m/V,
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associated_component = NE,
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injection = InjectionFactory.make(
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type_ = "sin",
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amplitude = 100 * dimensionless_unscaled,
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frequency = 0.2 * Hz,
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),
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),
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],
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True,
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)
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REF_LOW_NOISE_3_2 = MeasurementFactory.fetch(
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"Low Noise 3 - reference 2",
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"Reference data taken after the SDB1 measurement in Low Noise 3",
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Time("2025-06-17T19:45:00.000000000", format="isot", scale="utc"),
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4 * min,
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[
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InitializerScatterer(
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name = "SDB1",
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calibration_factor = 1.15 * m / V,
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associated_component = SR,
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injection = None,
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),
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InitializerScatterer(
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name = "SDB2",
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calibration_factor = 1.3 * m / V,
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associated_component = SR,
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injection = None,
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),
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InitializerScatterer(
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name = "SWEB",
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calibration_factor = 0.97 * m / V,
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associated_component = NE,
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injection = None,
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),
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],
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True,
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)
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SDB2_LOW_NOISE_3 = MeasurementFactory.fetch(
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"Low Noise 3 - SDB2",
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"Injection of sine line on SDB2's top stage suspension to check if everything is working (still in Low Noise 3, so with SR misaligned)",
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Time("2025-06-17T20:07:38.000000000", format="isot", scale="utc"),
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7 * min + 12 * s,
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[
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InitializerScatterer(
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name = "SDB2",
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calibration_factor = 1.3 * m/V,
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associated_component = SR,
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injection = InjectionFactory.make(
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type_ = "sin",
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amplitude = 75 * dimensionless_unscaled,
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frequency = 0.1 * Hz,
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),
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)
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],
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True,
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)
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root = Root(
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metadata=MetadataRoot(
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name="Low Noise 2 & Low Noise 3 injections",
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description="These measurements were done in 2025-06-17 to check the difference of SDB1 fsc for SR misaligned and SR aligned. In Low Noise 2, SR is aligned, and in Low Noise 3, SR is misaligned. All the measurements are described in this logbook entry: https://logbook.virgo-gw.eu/virgo/?r=67027.",
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),
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measurements=[
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REF_LOW_NOISE_2,
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SDB1_LOW_NOISE_2,
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SWEB_LOW_NOISE_2,
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REF_LOW_NOISE_3_1,
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SDB1_LOW_NOISE_3,
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REF_LOW_NOISE_3_2,
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SWEB_LOW_NOISE_3,
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SDB2_LOW_NOISE_3,
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],
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)
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with File("mesure-juin-2025.hdf5", "w") as store:
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root = root.to_hdf5(store)
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```
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## License
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This project is licensed under the GNU GPL v3+.
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See [license file](LICENSE) for more information.
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## Acknowledgment
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Thanks to all the people that worked on [GWpy](https://gwpy.github.io)
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and on all software and library used in this project.
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