Abstract
The Tomographic Ionized-carbon Mapping Experiment (TIME) instrument is a ground-based millimeter-wavelength grating spectrometer that illuminates a cryogenically cooled array of 1920 transition-edge sensor (TES) bolometers. The goal of TIME is to generate line intensity maps of singly ionized carbon ([CII]) during the Epoch of Reionization, when hydrogen became reionized by stellar radiation and the first galaxies were forming. This measurement requires a detailed understanding of the noise, most notably the 1/f noise from the time-varying atmosphere. In my thesis work, I performed an analysis of the power spectral density (PSD) and a traditional principal component analysis (PCA) on TIME data observed using the TIME instrument with the goal of better understanding the as-measured noise properties so they can be modeled and removed from the astronomical signal. I analyzed the raw signal of selected detectors from 11 observations of the sky without a background source from the 2021-2022 commissioning run of TIME at the Arizona Radio Observatory (ARO) 12 m radio dish at Kitt Peak. The PSD analysis yielded estimates of the atmospheric power, white noise power, turnover frequency, and slope for each detector in each observation. These results showed that the atmospheric power in the high-frequency channels follows atmospheric models; however, the power in low-frequency channels is underestimated. A traditional principal component analysis (PCA) reproduced these findings. This trend could be caused by the low-frequency channels being more optically thick than previously modeled or by an incorrect calibration of the observations into flux units; however, more research is required to determine the cause of this underestimation.
Publication Date
5-2026
Document Type
Thesis
Student Type
Graduate
Degree Name
Astrophysical Sciences and Technology (MS)
Department, Program, or Center
Physics and Astronomy, School of
College
College of Science
Advisor
Michael Zemcov
Advisor/Committee Member
Donald F. Figer
Advisor/Committee Member
Michael Richmond
Recommended Citation
Dunn, Audrey, "Atmospheric Noise Analysis in Observations from the Tomographic Ionized-carbon Mapping Experiment" (2026). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/12601
Campus
RIT – Main Campus
