Planar near-field measurements of specular and diffuse reflection of millimeter-wave absorbers
Fumiya Miura (1, 2), Hayato Takakura (2), Yutaro Sekimoto (2),, Junji Inatani (2), Frederick Matsuda (2), Shugo Oguri (2), Shogo Nakamura (1), ((1) Department of Physics, Engineering, Graduate School of Science and, Engineering, Yokohama National University

TL;DR
This paper presents a planar near-field measurement method for accurately characterizing both specular and diffuse millimeter-wave reflections of absorber materials, crucial for reducing far sidelobes in cosmic microwave background telescopes.
Contribution
The authors developed a novel planar near-field measurement technique to assess diffuse and specular reflections of millimeter-wave absorbers, improving precision over traditional methods.
Findings
Measured reflectance of five absorber samples from 70 GHz to 110 GHz.
Demonstrated higher precision and reduced standing wave effects compared to horn-to-horn methods.
Identified differences in angular response and polarization effects among materials.
Abstract
Mitigating the far sidelobes of a wide field-of-view telescope is one of the critical issues for polarization observation of the cosmic microwave background. Since even small reflections of stray light at the millimeter-wave absorbers inside the telescope may create nonnegligible far sidelobes, we have developed a method to measure the reflectance of millimeter-wave absorbers, including diffuse reflections. By applying the planar near-field measurement method to the absorbers, we have enabled two-dimensional diffuse-reflection measurements, in addition to characterizing specular reflection. We have measured the reflectance of five samples (TK RAM Large and Small Tiles and Eccosorb AN-72, HR-10, and LS-22) at two angles of incidence in the frequency range from 70 GHz to 110 GHz. Compared with conventional horn-to-horn measurements, we obtained a consistent specular reflectance with a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
