Update package name & Redefine hdf5 format using the standard I wrote
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5 changed files with 731 additions and 271 deletions
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706
generate_h5df.py
706
generate_h5df.py
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@ -2,6 +2,7 @@ from rich.console import Console
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from rich.table import Table
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from rich.theme import Theme
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from rich.logging import RichHandler
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from rich.progress import Progress
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from finesse.model import Model
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from finesse.analysis.actions import (
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@ -16,27 +17,32 @@ from finesse.exceptions import ModelMissingAttributeError
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from pathlib import Path
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from logging import getLogger, basicConfig, INFO, WARNING
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from logging import getLogger, basicConfig, WARNING
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from astropy.units import rad, W, m # pyright: ignore[reportAttributeAccessIssue]
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from astropy.units import rad, W, m, mW # pyright: ignore[reportAttributeAccessIssue]
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from gwpy.frequencyseries import FrequencySeries
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from numpy import (
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geomspace,
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sqrt,
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mean,
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diff,
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)
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from matplotlib.pyplot import figure, show
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from h5py import File
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from utils import (
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DisplayData,
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display_displaydata,
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fix_dark_fringe,
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TF,
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)
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from utils import fix_dark_fringe, TF
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from MaskedReadoutDC import MaskedReadoutDC
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from argparse import ArgumentParser
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from datetime import date
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from git import Repo
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from importlib.metadata import version, PackageNotFoundError
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theme = Theme(
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{
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"strong": "cyan underline",
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@ -55,290 +61,454 @@ logger = getLogger(__name__)
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# Parameters
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C_FILE_NAME = "SR-aligned-O4.h5df" # name of the created file
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C_POWER = 17.9 * W # power injection on the interferometer
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C_DARK_FRINGE = 6.27e-3 * W # power on dark fringe
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C_PRECISION = 1000 # number of point in the simulation
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C_SR_ROTATION = 0 * rad # yaw SR misalignement angle
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C_MAXTEM = 9 # number of modes in the model
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parser = ArgumentParser(
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prog="generate_h5df",
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description="Generate a model file containing computed Transfer Function",
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usage="python generate_h5df.py --filename={filename} --laser-power={laser power} --dark-fringe={dark fringe power} --sr-rotation={sr rotation} --max-tem={maxtem} [--precision={precision} | --quiet | --verbose]",
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)
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parser.add_argument(
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"-f",
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"--filename",
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help="path to the new file containing the transfer funciton",
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type=Path,
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required=True,
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)
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parser.add_argument(
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"-p",
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"--laser-power",
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help="power injected in the interferometer (in W)",
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type=float,
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required=True,
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)
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parser.add_argument(
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"-d",
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"--dark-fringe",
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help="power on the dark fringe (dark fringe offset) (in W)",
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type=float,
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required=True,
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)
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parser.add_argument(
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"-r",
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"--sr-rotation",
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help="yaw SR misalignement angle (in rad)",
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type=float,
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required=True,
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)
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parser.add_argument(
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"-m",
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"--max-tem",
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help="number of modes in the model",
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type=int,
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required=True,
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)
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parser.add_argument(
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"-n",
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"--precision",
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help="number of point in the transfer function model",
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type=int,
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default=1000,
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required=False,
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)
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parser.add_argument(
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"-q",
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"--quiet",
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help="suppress outputs in the terminal",
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action="store_true",
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)
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parser.add_argument(
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"-V",
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"--verbose",
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help="display graph and table on the terminal",
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action="store_true",
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)
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parser.add_argument(
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"-a",
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"--name",
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help="name of the generated result. Should be unique",
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type=str,
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required=True,
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)
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C_B1_DETECTOR = "TF" # depends on the code itself (don't change)
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args = parser.parse_args()
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# Creating model
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model = Model()
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model.phase_config(zero_k00=False, zero_tem00_gouy=True)
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model.parse(Path("model.kat").read_text())
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model.lambda0 = model.get("wavelength")
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model.get("fsig").f = 1.0
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filename = args.filename # name of the created file
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laser_power = args.laser_power * W # power injected
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dark_fringe_power = args.dark_fringe * W # power on dark fringe
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precision = args.precision # number of point in the simulation
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sr_rotation = args.sr_rotation * rad # yaw SR misalignement angle
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maxtem = args.max_tem # number of modes in the model
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quiet = args.quiet # no progress bar
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verbose = args.verbose # display figure and tables
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name = args.name # uniqeu name of the generated hdf5 data
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current_date = date.today()
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try:
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model.get("SR").xbeta = C_SR_ROTATION.to(rad).value
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model.get("laser").P = C_POWER.to(W).value
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except ModelMissingAttributeError:
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logger.warning("SR, or laser is not define in the model")
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current_version = version("finesse-simulation-o4")
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except PackageNotFoundError:
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current_version = "unknown"
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if filename.suffix != ".hdf5":
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filename = filename.with_suffix(".hdf5")
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with Progress(console=console) as progress:
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model_building = progress.add_task(
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description="building the model",
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start=False,
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total=None,
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visible=False,
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)
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locking = progress.add_task(
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description="locking the model",
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start=False,
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total=None,
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visible=False,
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)
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set_dark_fringe = progress.add_task(
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description="set dark fringe offset",
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start=False,
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total=None,
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visible=False,
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)
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computing_TF = progress.add_task(
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description="computing transfer function",
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start=False,
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total=8,
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visible=False,
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)
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write_file = progress.add_task(
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description="writing file",
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start=False,
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total=None,
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visible=False,
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)
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C_B1_DETECTOR = "TF" # depends on the code itself (don't change)
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# Creating model
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progress.start_task(model_building)
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progress.update(model_building, visible=not quiet)
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model = Model()
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model.phase_config(zero_k00=False, zero_tem00_gouy=True)
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model.parse(Path("model.kat").read_text())
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model.lambda0 = model.get("wavelength")
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model.get("fsig").f = 1.0
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try:
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model.get("B1")
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logger.info("B1 already exists")
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except ModelMissingAttributeError:
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try:
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model.add(
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MaskedReadoutDC(
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"B1",
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optical_node=model.get("SDB1").p2.o,
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output_detectors=True,
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pdtype=None,
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)
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)
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logger.info("B1 created")
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model.get("SR").xbeta = sr_rotation.to(rad).value
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model.get("laser").P = laser_power.to(W).value
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except ModelMissingAttributeError:
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logger.warning("SDB1 does not exist in the model")
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logger.warning("SR, or laser is not define in the model")
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# Locking
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try:
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model.get("B1")
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logger.info("B1 already exists")
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except ModelMissingAttributeError:
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try:
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model.add(
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MaskedReadoutDC(
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"B1",
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optical_node=model.get("SDB1").p2.o,
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output_detectors=True,
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pdtype=None,
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)
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)
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logger.info("B1 created")
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except ModelMissingAttributeError:
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logger.warning("SDB1 does not exist in the model")
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result = model.run(
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TemporaryParameters(
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Series(
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Change(
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{
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"SR.misaligned": True,
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"PR.misaligned": True,
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}
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progress.remove_task(model_building)
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progress.start_task(locking)
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progress.update(locking, visible=not quiet)
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# Locking
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result = model.run(
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TemporaryParameters(
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Series(
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Change(
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{
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"SR.misaligned": True,
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"PR.misaligned": True,
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}
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),
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Maximize(
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model.get("NE_p1"),
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model.get("NORTH_ARM.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Maximize(
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model.get("WE_p1"),
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model.get("WEST_ARM.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Minimize(
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model.get("SR_p2"),
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model.get("MICH.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Change(
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{
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"PR.misaligned": False,
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},
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),
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Maximize(
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model.get("PR_p2"),
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model.get("PRCL.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Change(
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{
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"SR.misaligned": False,
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},
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),
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Maximize(
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model.get("B1_DC"),
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model.get("SRCL.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Change(
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{
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"SRCL.DC": -90,
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},
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relative=True,
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),
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),
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Maximize(
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model.get("NE_p1"),
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model.get("NORTH_ARM.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Maximize(
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model.get("WE_p1"),
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model.get("WEST_ARM.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Minimize(
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model.get("SR_p2"),
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model.get("MICH.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Change(
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{
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"PR.misaligned": False,
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},
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),
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Maximize(
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model.get("PR_p2"),
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model.get("PRCL.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Change(
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{
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"SR.misaligned": False,
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},
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),
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Maximize(
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model.get("B1_DC"),
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model.get("SRCL.DC"),
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bounds=[-180, 180],
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tol=1e-14,
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),
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Change(
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{
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"SRCL.DC": -90,
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},
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relative=True,
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exclude=(
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"NE.phi",
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"NI.Phi",
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"WE.phi",
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"WI.phi",
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"SR.phi",
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"PR.phi",
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"NORTH_ARM.DC",
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"WEST_ARM.DC",
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"DARM.DC",
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"MICH.DC",
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"PRCL.DC",
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"SRCL.DC",
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"SR.misaligned",
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"PR.misaligned",
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),
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),
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exclude=(
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"NE.phi",
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"NI.Phi",
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"WE.phi",
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"WI.phi",
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"SR.phi",
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"PR.phi",
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"NORTH_ARM.DC",
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"WEST_ARM.DC",
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"DARM.DC",
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"MICH.DC",
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"PRCL.DC",
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"SRCL.DC",
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"SR.misaligned",
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"PR.misaligned",
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),
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),
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)
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# Adding HOMs
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model.modes(maxtem=C_MAXTEM)
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model.get("B1").select_mask(exclude=(0, 0))
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solution = model.run(Noxaxis())
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if solution is None:
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raise Exception("error when modeling the locked model")
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table = Table(title="Puissances dans l'interferomètre")
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table.add_column("position", justify="left", style="white")
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table.add_column("puissance (W)", justify="left", style="cyan")
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table.add_row("Injection", str(model.get("laser").P.eval()))
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table.add_row("PR", str(solution["PR_p1"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row(
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"cavité de recyclage de puissance",
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str(solution["PR_p2"]), # pyright: ignore[reportArgumentType,reportCallIssue]
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)
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table.add_row("cavité ouest", str(solution["WE_p1"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("cavité nord", str(solution["NE_p1"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("frange noire", str(solution["SR_p2"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("SNEB", str(solution["SNEB_DC"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("SWEB", str(solution["SWEB_DC"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("SDB1", str(solution["SDB1_DC"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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console.print(table)
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"""
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display_displaydata(
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model,
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[
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DisplayData("NORTH_ARM", 10),
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DisplayData("WEST_ARM", 10),
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DisplayData("PRCL", 10),
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DisplayData("SRCL", 10),
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DisplayData("MICH", 10),
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DisplayData("DARM", 10),
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],
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)
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"""
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number, power = fix_dark_fringe(model, C_DARK_FRINGE.to(W).value)
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logger.info(
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"[result]{dof}[/result] with [result]{number} steps[/result] give [result]{power:.6f} mW[/result] on the [strong]dark fringe[/strong]".format(
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number=number,
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dof=model.get("DARM").DC,
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power=power,
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),
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)
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dark_fringe_power = power # to keep this result for the h5df metadata
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# Computing TF
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model.get("SNEB").phi = model.get("NE").phi - 45
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model.get("SWEB").phi = model.get("WE").phi - 45
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model.get("SDB1").phi = model.get("SR").phi + 45
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quad_tf: dict[str, TF] = dict() # bench is in phase quadrature (Kn)
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in_tf: dict[str, TF] = dict() # bench is in phase (Kp)
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for bench_name in ["SNEB", "SWEB", "SDB1"]:
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quad_tf[bench_name] = TF(
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model,
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["{}_z".format(bench_name)],
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[C_B1_DETECTOR],
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geomspace(5, 10000, C_PRECISION), # pyright: ignore[reportArgumentType]
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)
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quad_tf["DARM"] = TF(
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model,
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["DARM"],
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[C_B1_DETECTOR],
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geomspace(5, 10000, C_PRECISION), # pyright: ignore[reportArgumentType]
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)
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# Adding HOMs
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model.modes(maxtem=maxtem)
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model.get("B1").select_mask(exclude=(0, 0))
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model.get("SNEB").phi = model.get("NE").phi
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model.get("SWEB").phi = model.get("WE").phi
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model.get("SDB1").phi = model.get("SR").phi
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progress.remove_task(locking)
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for bench_name in ["SNEB", "SWEB", "SDB1"]:
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in_tf[bench_name] = TF(
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if verbose:
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solution = model.run(Noxaxis())
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if solution is None:
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raise Exception("error when modeling the locked model")
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table = Table(title="Puissances dans l'interferomètre")
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table.add_column("position", justify="left", style="white")
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table.add_column("puissance (W)", justify="left", style="cyan")
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table.add_row("Injection", str(model.get("laser").P.eval()))
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table.add_row("PR", str(solution["PR_p1"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row(
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"cavité de recyclage de puissance",
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str(solution["PR_p2"]), # pyright: ignore[reportArgumentType,reportCallIssue]
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)
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table.add_row("cavité ouest", str(solution["WE_p1"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("cavité nord", str(solution["NE_p1"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("frange noire", str(solution["SR_p2"])) # pyright: ignore[reportArgumentType,reportCallIssue]
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table.add_row("SNEB", str(solution["SNEB_DC"])) # pyright: ignore[reportArgumentType,reportCallIssue]
|
||||
table.add_row("SWEB", str(solution["SWEB_DC"])) # pyright: ignore[reportArgumentType,reportCallIssue]
|
||||
table.add_row("SDB1", str(solution["SDB1_DC"])) # pyright: ignore[reportArgumentType,reportCallIssue]
|
||||
|
||||
console.print(table)
|
||||
|
||||
"""
|
||||
display_displaydata(
|
||||
model,
|
||||
["{}_z".format(bench_name)],
|
||||
[C_B1_DETECTOR],
|
||||
geomspace(5, 10000, C_PRECISION), # pyright: ignore[reportArgumentType]
|
||||
[
|
||||
DisplayData("NORTH_ARM", 10),
|
||||
DisplayData("WEST_ARM", 10),
|
||||
DisplayData("PRCL", 10),
|
||||
DisplayData("SRCL", 10),
|
||||
DisplayData("MICH", 10),
|
||||
DisplayData("DARM", 10),
|
||||
],
|
||||
)
|
||||
"""
|
||||
|
||||
progress.start_task(set_dark_fringe)
|
||||
progress.update(set_dark_fringe, visible=not quiet)
|
||||
|
||||
number, power = fix_dark_fringe(
|
||||
model, dark_fringe_power.to(W).value
|
||||
)
|
||||
power = power * W
|
||||
|
||||
if verbose:
|
||||
console.print(
|
||||
"[result]{dof}[/result] with [result]{number} steps[/result] give [result]{power:.6f}[/result] on the [strong]dark fringe[/strong]".format(
|
||||
number=number,
|
||||
dof=model.get("DARM").DC,
|
||||
power=power.to(mW),
|
||||
),
|
||||
)
|
||||
dark_fringe_power = (
|
||||
power # to keep this result for the h5df metadata
|
||||
)
|
||||
|
||||
in_tf["DARM"] = TF(
|
||||
model,
|
||||
["DARM"],
|
||||
[C_B1_DETECTOR],
|
||||
geomspace(5, 10000, C_PRECISION), # pyright: ignore[reportArgumentType]
|
||||
)
|
||||
progress.remove_task(set_dark_fringe)
|
||||
progress.start_task(computing_TF)
|
||||
progress.update(computing_TF, visible=not quiet)
|
||||
|
||||
bench_names = ["SNEB", "SWEB", "SDB1"]
|
||||
# Computing TF
|
||||
|
||||
for bench_name in bench_names:
|
||||
Figure = figure()
|
||||
ax = Figure.gca()
|
||||
ax.set_title(
|
||||
"finesse {bench_name}".format(bench_name=bench_name)
|
||||
).figure.gca().loglog(
|
||||
quad_tf[bench_name].f,
|
||||
sqrt(
|
||||
(
|
||||
model.get("SNEB").phi = model.get("NE").phi - 45
|
||||
model.get("SWEB").phi = model.get("WE").phi - 45
|
||||
model.get("SDB1").phi = model.get("SR").phi + 45
|
||||
|
||||
quad_tf: dict[str, TF] = dict() # bench is in phase quadrature (Kn)
|
||||
in_tf: dict[str, TF] = dict() # bench is in phase (Kp)
|
||||
|
||||
for bench_name in ["SNEB", "SWEB", "SDB1"]:
|
||||
quad_tf[bench_name] = TF(
|
||||
model,
|
||||
["{}_z".format(bench_name)],
|
||||
[C_B1_DETECTOR],
|
||||
geomspace(5, 10000, precision), # pyright: ignore[reportArgumentType]
|
||||
)
|
||||
progress.update(computing_TF, advance=1)
|
||||
|
||||
quad_tf["DARM"] = TF(
|
||||
model,
|
||||
["DARM"],
|
||||
[C_B1_DETECTOR],
|
||||
geomspace(5, 10000, precision), # pyright: ignore[reportArgumentType]
|
||||
)
|
||||
progress.update(computing_TF, advance=1)
|
||||
|
||||
model.get("SNEB").phi = model.get("NE").phi
|
||||
model.get("SWEB").phi = model.get("WE").phi
|
||||
model.get("SDB1").phi = model.get("SR").phi
|
||||
|
||||
for bench_name in ["SNEB", "SWEB", "SDB1"]:
|
||||
in_tf[bench_name] = TF(
|
||||
model,
|
||||
["{}_z".format(bench_name)],
|
||||
[C_B1_DETECTOR],
|
||||
geomspace(5, 10000, precision), # pyright: ignore[reportArgumentType]
|
||||
)
|
||||
progress.update(computing_TF, advance=1)
|
||||
|
||||
in_tf["DARM"] = TF(
|
||||
model,
|
||||
["DARM"],
|
||||
[C_B1_DETECTOR],
|
||||
geomspace(5, 10000, precision), # pyright: ignore[reportArgumentType]
|
||||
)
|
||||
progress.update(computing_TF, advance=1)
|
||||
|
||||
bench_names = ["SNEB", "SWEB", "SDB1"]
|
||||
|
||||
if verbose:
|
||||
for bench_name in bench_names:
|
||||
Figure = figure()
|
||||
ax = Figure.gca()
|
||||
ax.set_title(
|
||||
"finesse {bench_name}".format(bench_name=bench_name)
|
||||
).figure.gca().loglog(
|
||||
quad_tf[bench_name].f,
|
||||
sqrt(
|
||||
(
|
||||
abs(quad_tf[bench_name].get(C_B1_DETECTOR))
|
||||
/ abs(quad_tf["DARM"].get(C_B1_DETECTOR))
|
||||
/ model.get("space_NI_NE").L.eval()
|
||||
)
|
||||
** 2
|
||||
+ (
|
||||
abs(in_tf[bench_name].get(C_B1_DETECTOR))
|
||||
/ abs(in_tf["DARM"].get(C_B1_DETECTOR))
|
||||
/ model.get("space_NI_NE").L.eval()
|
||||
)
|
||||
** 2
|
||||
),
|
||||
label="sum of TF ($\\sqrt{{K_n^2 + K_p^2}}$)",
|
||||
)[0].figure.gca().loglog(
|
||||
quad_tf[bench_name].f,
|
||||
abs(quad_tf[bench_name].get(C_B1_DETECTOR))
|
||||
/ abs(quad_tf["DARM"].get(C_B1_DETECTOR))
|
||||
/ model.get("space_NI_NE").L.eval()
|
||||
)
|
||||
** 2
|
||||
+ (
|
||||
/ model.get("space_NI_NE").L.eval(),
|
||||
label="Kn",
|
||||
)[0].figure.gca().loglog(
|
||||
in_tf[bench_name].f,
|
||||
abs(in_tf[bench_name].get(C_B1_DETECTOR))
|
||||
/ abs(in_tf["DARM"].get(C_B1_DETECTOR))
|
||||
/ model.get("space_NI_NE").L.eval()
|
||||
)
|
||||
** 2
|
||||
),
|
||||
label="sum of TF ($\\sqrt{{K_n^2 + K_p^2}}$)",
|
||||
)[0].figure.gca().loglog(
|
||||
quad_tf[bench_name].f,
|
||||
abs(quad_tf[bench_name].get(C_B1_DETECTOR))
|
||||
/ abs(quad_tf["DARM"].get(C_B1_DETECTOR))
|
||||
/ model.get("space_NI_NE").L.eval(),
|
||||
label="Kn",
|
||||
)[0].figure.gca().loglog(
|
||||
in_tf[bench_name].f,
|
||||
abs(in_tf[bench_name].get(C_B1_DETECTOR))
|
||||
/ abs(in_tf["DARM"].get(C_B1_DETECTOR))
|
||||
/ model.get("space_NI_NE").L.eval(),
|
||||
label="Kp",
|
||||
)[0].figure.gca().set_ylabel(
|
||||
"$\\frac{{m}}{{m}}$"
|
||||
).figure.gca().legend().figure.gca().set_xlabel(
|
||||
"Frequencies ($Hz$)"
|
||||
).figure.gca().grid(True, "both", "both")
|
||||
show()
|
||||
/ model.get("space_NI_NE").L.eval(),
|
||||
label="Kp",
|
||||
)[0].figure.gca().set_ylabel(
|
||||
"$\\frac{{m}}{{m}}$"
|
||||
).figure.gca().legend().figure.gca().set_xlabel(
|
||||
"Frequencies ($Hz$)"
|
||||
).figure.gca().grid(True, "both", "both")
|
||||
show()
|
||||
|
||||
with File(Path("output") / C_FILE_NAME, "w") as file:
|
||||
file.attrs["SR yaw rotation"] = model.get("SR").xbeta * rad
|
||||
file.attrs["injected power"] = model.get("laser").P * W
|
||||
file.attrs["dark fringe power"] = dark_fringe_power * W
|
||||
file.attrs["maxtem"] = 9
|
||||
file.attrs["date"] = "2025-06-12"
|
||||
arm_length = file.create_group("arm length")
|
||||
arm_length.attrs["north"] = model.get("space_NI_NE").L.eval() * m
|
||||
arm_length.attrs["west"] = model.get("space_WI_WE").L.eval() * m
|
||||
darm_group = file.create_group("DARM")
|
||||
_ = darm_group.create_dataset(
|
||||
"signal",
|
||||
data=quad_tf["DARM"].get(C_B1_DETECTOR),
|
||||
)
|
||||
_ = darm_group.create_dataset(
|
||||
"frequency",
|
||||
data=quad_tf["DARM"].f,
|
||||
)
|
||||
for bench_name in ["SNEB", "SWEB", "SDB1"]:
|
||||
bench_group = file.require_group("benches").create_group(
|
||||
bench_name
|
||||
)
|
||||
bench_group.attrs["name"] = bench_name
|
||||
_ = bench_group.create_dataset(
|
||||
"frequency",
|
||||
data=quad_tf[bench_name].f,
|
||||
)
|
||||
_ = bench_group.create_dataset(
|
||||
"Kn",
|
||||
data=quad_tf[bench_name].get(C_B1_DETECTOR),
|
||||
)
|
||||
_ = bench_group.create_dataset(
|
||||
"Kp",
|
||||
data=in_tf[bench_name].get(C_B1_DETECTOR),
|
||||
progress.remove_task(computing_TF)
|
||||
progress.start_task(write_file)
|
||||
progress.update(write_file, visible=not quiet)
|
||||
|
||||
repo = Repo(Path("."))
|
||||
|
||||
with File(filename, "w") as file:
|
||||
file.attrs["name"] = name
|
||||
file.attrs["maxtem"] = maxtem
|
||||
|
||||
git = file.create_group("git")
|
||||
git.attrs["location"] = repo.remote().url
|
||||
git.attrs["commit"] = repo.active_branch.commit.hexsha
|
||||
git.attrs["version"] = current_version
|
||||
git.attrs["branch"] = repo.active_branch.name
|
||||
|
||||
itf = file.create_group("interferometer")
|
||||
itf.attrs["dark fringe power"] = dark_fringe_power
|
||||
itf.attrs["injection power"] = model.get("laser").P * W
|
||||
itf.attrs["SR yaw"] = model.get("SR").xbeta * rad
|
||||
itf.attrs["north arm"] = model.get("space_NI_NE").L.eval() * m
|
||||
itf.attrs["west arm"] = model.get("space_WI_WE").L.eval() * m
|
||||
|
||||
darm = FrequencySeries(
|
||||
quad_tf["DARM"].get(C_B1_DETECTOR),
|
||||
unit=W / m, # power on B1 to arm displacement
|
||||
f0=quad_tf["DARM"].f[0],
|
||||
df=mean(diff(quad_tf["DARM"].f)),
|
||||
)
|
||||
|
||||
file.create_dataset("DARM", data=darm)
|
||||
|
||||
for bench_name in ["SNEB", "SWEB", "SDB1"]:
|
||||
bench_group = file.require_group(
|
||||
"scatterers",
|
||||
).create_group(
|
||||
bench_name,
|
||||
)
|
||||
bench_group.attrs["name"] = bench_name
|
||||
|
||||
kn = FrequencySeries(
|
||||
quad_tf[bench_name].get(C_B1_DETECTOR),
|
||||
unit=m / W, # bench displacement to power on b1
|
||||
f0=quad_tf[bench_name].f[0],
|
||||
df=mean(diff(quad_tf[bench_name].f)),
|
||||
)
|
||||
kp = FrequencySeries(
|
||||
in_tf[bench_name].get(C_B1_DETECTOR),
|
||||
unit=m / W, # bench displacement to power on b1
|
||||
f0=in_tf[bench_name].f[0],
|
||||
df=mean(diff(in_tf[bench_name].f)),
|
||||
)
|
||||
_ = bench_group.create_dataset("Kn", data=kn)
|
||||
_ = bench_group.create_dataset("Kp", data=kp)
|
||||
|
||||
progress.remove_task(write_file)
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
[project]
|
||||
name = "finesse-simulation-04"
|
||||
name = "finesse-simulation-o4"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = [{ name = "linarphy", email = "augustin.demagny@ligo.org" }]
|
||||
|
|
@ -10,12 +10,15 @@ dependencies = [
|
|||
"basedpyright>=1.27.1",
|
||||
"finesse>=3.0a31",
|
||||
"finesse-virgo>=1.0.9",
|
||||
"gitpython>=3.1.44",
|
||||
"gwpy>=3.0.12",
|
||||
"ipympl>=0.9.7",
|
||||
"ipywidgets>=8.1.5",
|
||||
"jupyter-lsp>=2.2.5",
|
||||
"jupyterlab>=4.3.5",
|
||||
"jupyterlab-code-formatter>=3.0.2",
|
||||
"jupyterlab-lsp>=5.1.0",
|
||||
"pip>=25.1.1",
|
||||
"pygraphviz>=1.14",
|
||||
"pyqt6>=6.9.1",
|
||||
"rich>=13.9.4",
|
||||
|
|
@ -25,6 +28,7 @@ dependencies = [
|
|||
|
||||
[tool.uv.sources]
|
||||
science-signal = { git = "https://git.linarphy.net/linarphy/science_signal.git" }
|
||||
finesse-simulation-o4 = { workspace = true }
|
||||
|
||||
[tool.ruff]
|
||||
line-length = 72
|
||||
|
|
|
|||
2
utils.py
2
utils.py
|
|
@ -122,7 +122,7 @@ def fix_dark_fringe(model: Model, power: float) -> tuple[int, float]:
|
|||
if type(model.get("DARM")) is DegreeOfFreedom:
|
||||
result = solution["B1_DC"]
|
||||
start, stop, nb = 0, 1, 0
|
||||
while (abs(result - power) > 1e-4) and (nb < 100):
|
||||
while (abs(result - power) > 1e-6) and (nb < 500):
|
||||
nb += 1
|
||||
temp = start + (stop - start) / 2
|
||||
|
||||
|
|
|
|||
288
uv.lock
288
uv.lock
|
|
@ -322,6 +322,41 @@ wheels = [
|
|||
{ url = "https://files.pythonhosted.org/packages/b2/9b/972af6f963631c10e98e35fe53a46f6f4ec1e2dd05c5d88f63f3c75c3d21/control-0.10.1-py3-none-any.whl", hash = "sha256:ff4c7620addb7edcafa24f712b9cad61dcdf50a40018f16b8dcb0b26c7774524", size = 549597 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cryptography"
|
||||
version = "45.0.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/fe/c8/a2a376a8711c1e11708b9c9972e0c3223f5fc682552c82d8db844393d6ce/cryptography-45.0.4.tar.gz", hash = "sha256:7405ade85c83c37682c8fe65554759800a4a8c54b2d96e0f8ad114d31b808d57", size = 744890 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/1c/92637793de053832523b410dbe016d3f5c11b41d0cf6eef8787aabb51d41/cryptography-45.0.4-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:425a9a6ac2823ee6e46a76a21a4e8342d8fa5c01e08b823c1f19a8b74f096069", size = 7055712 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ba/14/93b69f2af9ba832ad6618a03f8a034a5851dc9a3314336a3d71c252467e1/cryptography-45.0.4-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:680806cf63baa0039b920f4976f5f31b10e772de42f16310a6839d9f21a26b0d", size = 4205335 },
|
||||
{ url = "https://files.pythonhosted.org/packages/67/30/fae1000228634bf0b647fca80403db5ca9e3933b91dd060570689f0bd0f7/cryptography-45.0.4-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4ca0f52170e821bc8da6fc0cc565b7bb8ff8d90d36b5e9fdd68e8a86bdf72036", size = 4431487 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6d/5a/7dffcf8cdf0cb3c2430de7404b327e3db64735747d641fc492539978caeb/cryptography-45.0.4-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:f3fe7a5ae34d5a414957cc7f457e2b92076e72938423ac64d215722f6cf49a9e", size = 4208922 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c6/f3/528729726eb6c3060fa3637253430547fbaaea95ab0535ea41baa4a6fbd8/cryptography-45.0.4-cp311-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:25eb4d4d3e54595dc8adebc6bbd5623588991d86591a78c2548ffb64797341e2", size = 3900433 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/4a/67ba2e40f619e04d83c32f7e1d484c1538c0800a17c56a22ff07d092ccc1/cryptography-45.0.4-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:ce1678a2ccbe696cf3af15a75bb72ee008d7ff183c9228592ede9db467e64f1b", size = 4464163 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7e/9a/b4d5aa83661483ac372464809c4b49b5022dbfe36b12fe9e323ca8512420/cryptography-45.0.4-cp311-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:49fe9155ab32721b9122975e168a6760d8ce4cffe423bcd7ca269ba41b5dfac1", size = 4208687 },
|
||||
{ url = "https://files.pythonhosted.org/packages/db/b7/a84bdcd19d9c02ec5807f2ec2d1456fd8451592c5ee353816c09250e3561/cryptography-45.0.4-cp311-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:2882338b2a6e0bd337052e8b9007ced85c637da19ef9ecaf437744495c8c2999", size = 4463623 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d8/84/69707d502d4d905021cac3fb59a316344e9f078b1da7fb43ecde5e10840a/cryptography-45.0.4-cp311-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:23b9c3ea30c3ed4db59e7b9619272e94891f8a3a5591d0b656a7582631ccf750", size = 4332447 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f3/ee/d4f2ab688e057e90ded24384e34838086a9b09963389a5ba6854b5876598/cryptography-45.0.4-cp311-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b0a97c927497e3bc36b33987abb99bf17a9a175a19af38a892dc4bbb844d7ee2", size = 4572830 },
|
||||
{ url = "https://files.pythonhosted.org/packages/70/d4/994773a261d7ff98034f72c0e8251fe2755eac45e2265db4c866c1c6829c/cryptography-45.0.4-cp311-abi3-win32.whl", hash = "sha256:e00a6c10a5c53979d6242f123c0a97cff9f3abed7f064fc412c36dc521b5f257", size = 2932769 },
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sdist = { url = "https://files.pythonhosted.org/packages/95/32/1a225d6164441be760d75c2c42e2780dc0873fe382da3e98a2e1e48361e5/tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9", size = 196380 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8", size = 347839 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tzlocal"
|
||||
version = "5.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "tzdata", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8b/2e/c14812d3d4d9cd1773c6be938f89e5735a1f11a9f184ac3639b93cef35d5/tzlocal-5.3.1.tar.gz", hash = "sha256:cceffc7edecefea1f595541dbd6e990cb1ea3d19bf01b2809f362a03dd7921fd", size = 30761 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/14/e2a54fabd4f08cd7af1c07030603c3356b74da07f7cc056e600436edfa17/tzlocal-5.3.1-py3-none-any.whl", hash = "sha256:eb1a66c3ef5847adf7a834f1be0800581b683b5608e74f86ecbcef8ab91bb85d", size = 18026 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "uri-template"
|
||||
version = "1.3.0"
|
||||
|
|
|
|||
Loading…
Reference in a new issue