Learning objectives
After completing the course,
Workshop participants should be able to:
--LIGO Detector--
* Describe the LIGO measurement principle, including a
definition of GW strain
* Recognize a LIGO PSD and interpert it as noise
* Recognize both glitches and lines as instrumental artifacts
* Describe frequency limits of calibration
* Describe major noise sources at low, mid, and high frequencies
--Data access and basic signal processing--
* Access and download LIGO strain data
* Load LIGO strain data into a numpy array or similar
* Plot LIGO time-series data
* Whiten LIGO strain data
* Load a waveform from a file
* Plot a spectrogram/Q-scan of data, and identify signals and glitches
--CBC Analysis--
Basic tasks:
* Calculate the matched filter SNR between a waveform and data
* Project a template waveform onto detector data, adjusting for phase,
amplitude, and time-offset
* Calculate an antenna factor for a given source position
* Produce a waveform from a set of parameters
* Calculate a likelihood from a set of 15 parameters
* Load a skymap and find the most likely source location