Skip to main content

PSD Drift Data Quality Extensions for the SGN Framework

Project description

SGN-Drift

Geometric Spectral Diagnostics for Gravitational Wave Detectors.

sgn-drift is an extension to the SGN framework designed to quantify the stability of the detector noise floor using Information Geometry.

Installation

pip install sgn-drift

Example Usage

Command Line

sgn-drift-estimate --detector L1 --start 1263085000 --end 1263089096 --output drift_L1.csv --bands "low:10:50,mid:50:300"

Python API

from sgndrift.bin.estimate_drift import estimate_drift

bands = {
    "v_low": (10, 50),
    "v_mid": (50, 300)
}

estimate_drift(
    start=1262600000,
    end=1262604096,
    detector="L1",
    output_drift="analysis.csv",
    bands=bands,
    verbose=True
)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sgn_drift-0.1.1.tar.gz (37.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sgn_drift-0.1.1-py3-none-any.whl (34.7 kB view details)

Uploaded Python 3

File details

Details for the file sgn_drift-0.1.1.tar.gz.

File metadata

  • Download URL: sgn_drift-0.1.1.tar.gz
  • Upload date:
  • Size: 37.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sgn_drift-0.1.1.tar.gz
Algorithm Hash digest
SHA256 a4b78b79086122300e3bdaca81ad0e4b8fae9bec60de7a4e3345cbcf823b26c5
MD5 0f2e6e500eadf1f112a6d631b38907ca
BLAKE2b-256 94506cac1f97ad736cc2ea9ebb7e341705e487d6f00de69c8232b06a2cea364a

See more details on using hashes here.

File details

Details for the file sgn_drift-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: sgn_drift-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 34.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sgn_drift-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d675e2750323e5e6d7872ef707c8c3b80cbe61eed78d0adc9ec64f479c27f001
MD5 c20d3cbfeaa769482beb392b6728820f
BLAKE2b-256 0fb660d75ba0f7e4df68b468e16fec7f33f5d3fea9b0b1eca6b99ffc76faab6a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page