Studies of Millimeter-Wave Atmospheric Noise Above Mauna Kea

TL;DR

This study measures atmospheric noise above Mauna Kea at millimeter wavelengths, compares it with the South Pole, and develops algorithms to mitigate its effects, highlighting the challenges in reaching photon-background-limited performance.

Contribution

It provides detailed atmospheric noise measurements at Mauna Kea, compares them with South Pole data, and introduces noise removal algorithms for submillimeter observations.

Findings

Atmospheric noise follows a Kolmogorov-Taylor turbulence model.

Noise amplitude is 80 times larger than at the South Pole.

Current algorithms cannot achieve photon-background-limited performance below 0.5 Hz.

Abstract

We report measurements of the fluctuations in atmospheric emission (atmospheric noise) above Mauna Kea recorded with Bolocam at 143 and 268 GHz from the Caltech Submillimeter Observatory (CSO). The 143 GHz data were collected during a 40 night observing run in late 2003, and the 268 GHz observations were made in early 2004 and early 2005 over a total of 60 nights. Below 0.5 Hz, the data time-streams are dominated by atmospheric noise in all observing conditions. The atmospheric noise data are consistent with a Kolmogorov-Taylor (K-T) turbulence model for a thin wind-driven screen, and the median amplitude of the fluctuations is 280 mK^2 rad^(-5/3) at 143 GHz and 4000 mK^2 rad^(-5/3) at 268 GHz. Comparing our results with previous ACBAR data, we find that the normalization of the power spectrum of the atmospheric noise fluctuations is a factor of 80 larger above Mauna Kea than above the South Pole at millimeter wavelengths. Most of this difference is due to the fact that the atmosphere above the South Pole is much drier than the atmosphere above Mauna Kea. However, the atmosphere above the South Pole is slightly more stable as well: the fractional fluctuations in the column depth of precipitable water vapor are a factor of sqrt(2) smaller at the South Pole compared to Mauna Kea. Based on our atmospheric modeling, we developed several algorithms to remove the atmospheric noise, and the best results were achieved when we described the fluctuations using a low-order polynomial in detector position over the 8 arcmin field of view (FOV). However, even with these algorithms, we were not able to reach photon-background-limited instrument photometer (BLIP) performance at frequencies below 0.5 Hz in any observing conditions.