Modeling the frequency response of microwave radiometers with QUCS

TL;DR

This paper presents a novel method for modeling microwave radiometer frequency responses by integrating simulations with RF measurements using the open-source QUCS simulator, validated through case studies on astrophysical instruments.

Contribution

It introduces an automated approach combining QUCS simulations and component measurements, along with a new Python package for streamlined modeling of radiometer bandpasses.

Findings

Validated the modeling approach with COFE and Planck LFI radiometers.

Achieved independent estimates of instrument bandpasses.

Compared QUCS results with commercial software, demonstrating accuracy.

Abstract

Characterization of the frequency response of coherent radiometric receivers is a key element in estimating the flux of astrophysical emissions, since the measured signal depends on the convolution of the source spectral emission with the instrument band shape. Laboratory Radio Frequency (RF) measurements of the instrument bandpass often require complex test setups and are subject to a number of systematic effects driven by thermal issues and impedance matching, particularly if cryogenic operation is involved. In this paper we present an approach to modeling radiometers bandpasses by integrating simulations and RF measurements of individual components. This method is based on QUCS (Quasi Universal Circuit Simulator), an open-source circuit simulator, which gives the flexibility of choosing among the available devices, implementing new analytical software models or using measured S-parameters. Therefore an independent estimate of the instrument bandpass is achieved using standard individual component measurements and validated analytical simulations. In order to automate the process of preparing input data, running simulations and exporting results we developed the Python package python-qucs and released it under GNU Public License. We discuss, as working cases, bandpass response modeling of the COFE and Planck Low Frequency Instrument (LFI) radiometers and compare results obtained with QUCS and with a commercial circuit simulator software. The main purpose of bandpass modeling in COFE is to optimize component matching, while in LFI they represent the best estimation of frequency response, since end-to-end measurements were strongly affected by systematic effects.