Analysis of antenna position measurements and weather station network data during the ALMA Long Baseline Campaign of 2015

TL;DR

This study analyzes antenna position measurements and weather data during ALMA's 2015 campaign, highlighting challenges in vertical accuracy and exploring atmospheric correction methods to improve positional repeatability.

Contribution

It introduces a comprehensive analysis of weather station data and antenna measurements, proposing potential improvements in atmospheric delay modeling for better positional accuracy.

Findings

Vertical position errors are more than three times larger than horizontal errors.

Current atmospheric correction models do not fully account for vertical residual errors.

Adding weather station data alone does not significantly improve antenna position repeatability.

Abstract

In a radio interferometer, the determination of geometrical antenna positions relies on accurate calibration of the dry and wet delay of the atmosphere above each antenna. For the Atacama Large Millimeter/Submillimeter Array (ALMA), which has baseline lengths up to 16 kilometers, the geography of the site forces the height above mean sea level of the more distant antenna pads to be significantly lower than the central array. Thus, both the ground level meteorological values and the total water column can be quite different between antennas in the extended configurations. During 2015, a network of six additional weather stations was installed to monitor pressure, temperature, relative humidity and wind velocity, in order to test whether inclusion of these parameters could improve the repeatability of antenna position determinations in these configurations. We present an analysis of the data obtained during the ALMA Long Baseline Campaign of Oct. through Nov. 2015. The repeatability of antenna position measurements typically degrades as a function of antenna distance. Also, the scatter is more than three times worse in the vertical direction than in the local tangent plane, suggesting that a systematic effect is limiting the measurements. So far we have explored correcting the delay model for deviations from hydrostatic equilibrium in the measured air pressure and separating the partial pressure of water from the total pressure using water vapor radiometer (WVR) data. Correcting for these combined effects still does not provide a good match to the residual position errors in the vertical direction. One hypothesis is that the current model of water vapor may be too simple to fully remove the day-to-day variations in the wet delay. We describe possible avenues of improvement, including measuring and applying more accurate values of the sky coupling efficiency of the WVRs.