locklost: aLIGO IFO lock loss tracking and analysis

This package provides a set of tools for analyzing LIGO detector "lock losses". It consists of four main components:

• search for detector lock losses in past data based on guardian state transitions.
• analyze individual lock losses to generate plots and look for identifying features.
• online search to monitor for lock losses and automatically run follow-up analyses.
• web interface to view lock loses event pages.

A command line interface is provided to launch the online analysis and condor jobs to search for and analyze events.

Usage

To start/stop/restart the online analysis use the online command:

$ locklost online start

This launches a condor job that runs the online analysis.

To launch a condor job to search for lock losses within some time window:

$ locklost search --condor START END

This will find lock losses with the specified time range, but will not run the follow-up analyses. This is primarily needed to backfill times when the online analysis was not running (see below).

Any time argument ('START', 'END', 'TIME', etc.) can be either a GPS times or a full (even relative) date/time string, e.g. '1 week ago'.

To run a full analysis on a specific lock loss time found from the search above:

$ locklost analyze TIME

To launch a condor job to analyze all un-analyzed events within a time range:

$ locklost analyze --condor START END

To re-analyze events add the --rerun flag e.g.:

$ locklost analyze TIME --rerun

or

$ locklost analyze --condor START END --rerun

It has happened that analysis jobs are improperly killed by condor, not giving them a chance to clean up their run locks. The site locklost deployments include a command line utility to find and remove any old, stale analysis locks:

$ find-locks -r

Analysis plugins

Lock loss event analysis consists of a set of follow-up "plugin" analyses, located in the locklost.plugins sub-package:

• locklost/plugins/

Each follow-up module is registered in locklost/plugins/__init__.py. Some of the currently enabled follow-up are:

• discover.discover_data wait for data to be available
• refine.refine_event refine event time
• saturations.find_saturations find saturating channels before event
• lpy.find_lpy find length/pitch/yaw oscillations in suspensions
• glitch.analyze_glitches look for glitches around event
• overflows.find_overflows look for ADC overflows
• state_start.find_lock_start find the start the lock leading to current lock loss

Each plugin does it's own analysis, although some depend on the output of other analyses. The output from any analysis (e.g. plots or data) should be written into the event directory.

Site deployments

Each site (LHO and LLO) has a dedicated "lockloss" account on their local LDAS cluster where locklost is running:

• https://ldas-jobs.ligo-wa.caltech.edu/~lockloss/
• https://ldas-jobs.ligo-la.caltech.edu/~lockloss/

These accounts have deployments of the latest locklost package release, run the production online and analysis condor jobs, and host the web pages.

deploying new versions

When a new version is ready for release, create an annotated tag for the release and push it to the main repo (https://git.ligo.org/jameson.rollins/locklost):

$ git tag -m release 0.16
$ git push --tags

In the LDAS lockloss account, pull the new tag and run the test/deploy script:

$ ssh lockloss@detchar.ligo-la.caltech.edu
$ cd ~/src/locklost
$ git pull
$ locklost-deploy

If there are changes to the online search, restart the online condor process, otherwise analysis changes should get picked up automatically in new condor executions:

$ locklost online restart

Developing and contributing

See the CONTRIBUTING for instructions on how to contribute to locklost.