fscan 0.1.0

Fscan tool for monitoring narrow spectral artifacts in LIGO data

Fscan

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

Installation

To use the Fscan workflow, the best practice is to use either the installed version (in the pulsar user account at LHO and LLO) or to clone the repository and use the scripts from a local version. To install Fscan, please follow these instructions

1. Clone the Fscan repository

2. Create / activate a conda environment (e.g. conda create -n fscan-py3.10 -c conda-forge python=3.10)

3. Activate the fscan-py3.10 environment and install using pip install fscan/. This enables the environment to gain access to Fscan command line scripts

Example for running Fscan

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

[...@ldas-grid public_html]$ /home/evan.goetz/lscrepos/fscan-eg/scripts/FscanDriver -C 1 -O 1 -A ligo.dev.o4.detchar.linefind.fscan -U evan.goetz --full-band-avg=1 --analysisStart=20200229 --analysisDuration=1day --averageDuration=1day -y /home/evan.goetz/lscrepos/fscan-eg/configuration/example_ch_info.yml -f . -s /home/evan.goetz/opt/lscsoft/bin/ -a /home/evan.goetz/opt/lscsoft/bin/ -S /home/evan.goetz/opt/lscsoft/bin/

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.