Mitigation of electrical standing waves using machine learning

Bos, Roy (2021) Mitigation of electrical standing waves using machine learning. Master's Thesis / Essay, Astronomy.

Preview	Text Master_thesis.pdf Download (9MB) | Preview
	Text toestemming.pdf Restricted to Registered users only Download (118kB)

Abstract

Heterodyne spectrometers are instruments that are commonly used to observe emission lines in the farinfrared, or THz regime. They can provide a high frequency resolution, which allows them to resolve the shape of an emission line and in turn derive the physical properties of the observed object. Unfortunately, spectrometers that use HEB mixers have strong instrument noise, dominated by electrical standing waves (ESWs). ESWs distort the baseline of a spectrum and are hard to remove using analytical methods. The currently used method by Kester et al. [2014] is sufficient in most cases, but of limited use when ESWs change shape rapidly.

Item Type:	Thesis (Master's Thesis / Essay)
Supervisor name:	Shipman, R.F.
Degree programme:	Astronomy
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	30 Jul 2021 10:10
Last Modified:	02 Sep 2021 11:32
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/25306

Actions (login required)

View Item