Cavaliere, F., Mennella, A., Zannoni, M., Battaglia, P., Battistelli, E.S., de Bernardis, P., Burke, D., D'Alessandro, G., De Petris, M., Franceschet, C., Grandsire, L., Hamilton, J.-Ch., Maffei, B., Manzan, E., Marnieros, S., Masi, S., O'Sullivan, C., Passerini, A., Pezzotta, F., Piat, M., Tartari, A., Torchinsky, S.A., Viganò, D., Voisin, F., Ade, P. ![]() ![]() ![]() Item availability restricted. |
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Abstract
We present the design, manufacturing and performance of the horn-switch system developed for the technological demonstrator of QUBIC (the Q&U Bolometric Interferometer for Cosmology). This system consists of 64 back-to-back dual-band (150 GHz and 220 GHz) corrugated feed-horns interposed with mechanical switches used to select desired baselines during the instrument self-calibration. We manufactured the horns in aluminum platelets milled by photo-chemical etching and mechanically tightened with screws. The switches are based on steel blades that open and close the waveguide between the back-to-back horns and are operated by miniaturized electromagnets. The measured electromagnetic performance of the feedhorns agrees with simulations. In particular we obtained a return loss around -20 dB up to 230 GHz and beam patterns in agreement with single-mode simulations down to -30 dB. The switches for this prototype were designed and built for the 150 GHz band. In this frequency range we find return and insertion losses consistent with expectations (<-25 dB and ∼-0.1 dB, respectively) and an isolation larger than 70 dB. In this paper we also show the current development status of the feedhorn-switch system for the QUBIC full instrument, based on an array of 400 horn-switch assemblies.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Physics and Astronomy |
Publisher: | IOP Publishing |
ISSN: | 1475-7516 |
Date of First Compliant Deposit: | 7 June 2022 |
Date of Acceptance: | 3 February 2022 |
Last Modified: | 06 May 2023 04:57 |
URI: | https://orca.cardiff.ac.uk/id/eprint/150261 |
Citation Data
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