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Fscan tool for monitoring narrow spectral artifacts in LIGO data

Project description

Fscan

PyPI version Conda PyPI - License PyPI - Python Version

Fscan pipeline for characterizing persistent narrowband spectral artifacts in gravitational wave detector data

Installation

On Unix systems, Fscan can be installed easily using conda:

conda install -c conda-forge fscan

Or from PyPI:

pip install fscan

LALPulsar and lalframe are required for running but optional dependencies. You may either install it into the environment using

conda install -c conda-forge fscan[conda]

or install LALSuite from source.

Running Fscan

Fscan runs on LIGO site computing resources (LHO, LLO, or CIT) by accessing the frame files directly on-disk (not via NDS). The main way to run Fscan is using the FscanDriver program on the command line together with arguments that tell Fscan how to run.

One key argument is the channel configuration file. This file contains the information needed on how the Fscan program finds and processes data on an individual channel basis. Example channel configuration files may be found here.

Example running Fscan

Run the FscanDriver <args> exectuable with appropriate arguments (see FscanDriver -h for additional details). For example at CIT:

FscanDriver --chan-opts=fscan-configuration/configuration/examples/example_ch_info.yml --SFTpath=. --create-sfts=1 --plot-output=1 --accounting-group=ligo.dev.o4.detchar.linefind.fscan --accounting-group-user=albert.einstein --analysisStart=20200229 --analysisDuration=1day --averageDuration=1day

Another example (using a configuration file)

Running from the Fscan source directory,

FscanDriver --config configuration/example.config

Be sure to edit the arguments in example.config to reflect the locations of your lalsuite and fscan installations.

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