Backscattermeter analyzer

Help working with the backscattermeter at LAPP.

This tools can characterize the experiment itself, or make ${ f } _ { sc }$ or BRDF measurement with a focus on uncertainty propagation.

Getting started

Requirements

Python >= 3.14
GWpy >= 3.0.12 (data type, computation)
pyusb >= 1.3.1 (interaction with actuator/sensor - not used yet)
pyqt6 >= 6.9.1 (visualization - not used yet)
rich >= 13.9.4 (console output)
lalsuite >= 7.26.15 (data format - not used yet)

Installation

To install this package in the current python environment, use

python -m pip install backscattermeter_analyzer

Usage

from backscattermeter_analyzer import (
    Acquisition,
    AnalysisBuilder,
    Backscattermeter,
    Camera,
    ProtocolBuilder,
)
from gwpy.timeseries import TimeSeriesDict

# build a protocol with a camera that save the position of the beam and
# with a snail movement of the motor.
protocol = (
    ProtocolBuilder(Backscattermeter())
    .with_camera_on_suspended_bench(
        camera=Camera(
            id_="an nice identifier of the camera for human",
            serial_number="1359",
        ),
        position=3e-2,  # in m
        error=5e-3,  # in m
    )
    .with_camera_channels(  # X and Y are reversed on this camera !
        pos_x="V1:Camera_scatter_FitPosY",
        pos_y="V1:Camera_scatter_FitPosX",
    )
    .with_snail_motor_path(
        number=3,
        duration=10,
        speed=50,
        step_numbers=(100, 100, 100, 100),
    )
    .build()
)
# convert it to an acquisition with real data
acquisition = Acquisition(
    protocol=protocol,
    data=TimeSeriesDict.read("data.gwf"),
)

# build an analysis where we will get the time interval in which the
# motor is moving. We don't want these data as they are noisy, so this
# can be used later for another analysis that needs stable segment.
analysis = AnalysisBuilder().with_step_split([acquisition]).build()

# run the analysis, return a result object
result = analysis.run()

print(result.representation.structure.with_step_split[0].start_times[0])
# this will print the start of the segment that contains transition data
# in camera position measurement.

Documentation

A complete documentation will be available soon, in a wiki.

Development

Development Requirements

This project use mise to manage development tools.

This project use the following tools:

just: command runner
hatch: project manager and package builder
uv: package installer
ruff: python linter and formatter
ty: python type checker
jujutsu: version control

Development Usage

just can be used to speed up development for an identical toolchain.

Before making a commit, just fix will run all tests, format the code, lint and type check. If you don’t want to modify the code, just check will run all tests, lint and type check without any attempt to fix any issue.

Before a version change, just release will push all local commits to repository and publish the new package version.

All available commands can be listed with just -l.

License

This project is licensed under the GNU GPL v3+. See license file for more information.

Acknowledgement

Thanks to all the people that worked on the tools used, like python, neovim and mise.

Metadata

Release files for backscattermeter_analyzer 3.0.15

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for backscattermeter_analyzer 3.0.15
File	Size	Uploaded
backscattermeter_analyzer-3.0.15.tar.gz	86.1 kB	Sep 30, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for backscattermeter_analyzer 3.0.15
File	Interpreter	ABI	Platform	Reset
backscattermeter_analyzer-3.0.15-py3-none-any.whl 215.3 kB Sep 30, 2026	Python 3	none	any	Details

Total release size: 301.3 kB

Release files / backscattermeter_analyzer-3.0.15.tar.gz

Download URL	backscattermeter_analyzer-3.0.15.tar.gz
Size	86.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`a608d34621dad9109637b2b7a83447c44be7a39b4e9678e19b78229156410ff7`
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Upload date	Sep 30, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Hatch/1.16.5 cpython/3.14.7 HTTPX/0.28.1`

Release files / backscattermeter_analyzer-3.0.15-py3-none-any.whl

Download URL	backscattermeter_analyzer-3.0.15-py3-none-any.whl
Size	215.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`63d4be8ab869fff6f9751ab9839a9f1aec7a081dc7fa23152c67a2c25c322f47`
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Upload date	Sep 30, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Hatch/1.16.5 cpython/3.14.7 HTTPX/0.28.1`