Noise hunting in Advanced LIGO

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Abstract:: Proposal for a 2016 LIGO SURF project by Michael Anita.
In order to confidently interpret observed gravitational wave signals in Advanced LIGO data, we must first build an understanding of the character of the noise in the instruments. The first observing run has illustrated that there is a population of noise transients in Advanced LIGO data with the potential to impact transient astrophysical searches, particularly for sources like supernovae and black holes. Intense commissioning efforts over the summer in preparation for the second observing run also promise to change the character of the noise. This project would focus on the cutting edge improvements to the instrumentation in evaluating the quality of the data and investigating the most impactful noise sources to searches for transient gravitational waves.

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1pitch_yaw.gif (20.7 MB)
LIGO SURF Project Plan-Michael Antia.pdf (116.2 kB)
LIGO SURF16 ABSTRACT.pdf (32.0 kB)
SURF16_MICHAEL_ANTIA_PROGRESS_REPORT_2.pdf (1.7 MB)
pitch_yaw_11_06_2015.mp4 (3.5 MB)
pitch_yaw_11_06_2015_v2.mp4 (3.5 MB)
ASC ASD time lapse during high wind (0-1 Hz) (0_1_Hz_ASD.gif, 2.1 MB)
ASC ASD time lapse during high wind (20-40 Hz) (20_40_Hz_ASD.gif, 2.0 MB)
ASC ASD time lapse during high wind (4-20 Hz) (4_20_Hz_ASD.gif, 3.0 MB)
Backup-PDF-Presentation (Noise_Hunting_aLIGO_Antia_Michael_SURF16.pdf, 3.5 MB)
LIGO SURF16 PROGRESS REPORT #1 (MICHAEL_ANTIA_LIGOSURF_PR1_20160706.pdf, 262.0 kB)
Python Script to create stills for a pitch vs yaw time-lapse (pitch_vs_yaw_movie.py, 3.6 kB)

LIGO Document T1600159-v1