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Measuring The Population Properties Of Merging Compact Binaries With Gravitational Wave Observations, Daniel Wysocki

Theses

Since the Laser Interferometer Gravitational-Wave Observatory (LIGO) made the first direct detection of gravitational waves in 2015, the era of gravitational wave astronomy has begun. LIGO and its counterpart Virgo are detecting an ever-growing sample of merging compact binaries: binary black holes, binary neutron stars, and neutron star--black hole binaries. Each individual detection can be compared against simulated signals with known properties, in order to measure the binary's properties. In order to understand the sample of detections as a whole, however, ensemble methods are needed.

The properties measured from these binary systems have large measurement errors, and the sensitivity of …

Mixed Signals In Pulsar Timing Arrays - Discerning Red Spin Noise From Gravitational Waves, Brendan Drachler

Theses

The detection of gravitational waves (GWs) with ground-based interferometers like the Laser Interferometer Gravitational Wave Observatory (LIGO) revolutionized our view of the Universe. Pulsar timing arrays (PTAs) like observed by the North American Nanohertz Observatory for Gravitational Waves (NANOGrav) will provide the community with an avenue for exploring the GW spectrum beyond what is capable with ground-based interferometers. Unlike LIGO, pulsars do not exist in an ideal environment where clever engineering can mitigate sources of noise. With that being said, many of the dominant sources of noise in PTAs have been well modeled within NANOGrav. The impact of red spin …

Rift’Ing The Waves: Developing And Applying An Algorithm To Infer Properties Of Gravitational Wave Sources, Jacob Lange

Theses

With the Advanced LIGO and Virgo ground-based detectors consistently identifying more compact binary coalesces, the need for fast, reliable, and unbiased parameter inference is ever more vital. To that end, we introduce RIFT: an algorithm to perform Rapid parameter inference on gravitational wave sources via Iterative FiTting. To demonstrate RIFT can recover the correct parameters of coalescing compact binary systems, we compare results to the well-tested LALInference parameter inference software. We provide several examples where the unique speed and flexibility of RIFT enables otherwise intractable or awkward parameter inference analyses, such as (a) adopting costly and novel models for outgoing …