SPT-3G+: Mapping the High-Frequency Cosmic Microwave Background Using Kinetic Inductance Detectors
A. J. Anderson, P. Barry, A. N. Bender, B. A. Benson, L. E. Bleem, J., E. Carlstrom, T. W. Cecil, C. L. Chang, T. M. Crawford, K. R. Dibert, M. A., Dobbs, K. Fichman, N. W. Halverson, W. L. Holzapfel, A. Hryciuk, K. S., Karkare, J. Li, M. Lisovenko, D. Marrone, J. McMahon

TL;DR
SPT-3G+ is a new high-frequency camera for the South Pole Telescope, utilizing 34,100 kinetic inductance detectors to advance cosmic microwave background research, reionization studies, and detector technology development.
Contribution
This paper introduces the design, science goals, and technological innovations of SPT-3G+, a novel CMB observation instrument with a large detector array and modular design.
Findings
Enables new constraints on reionization and the kinematic Sunyaev-Zeldovich effect.
Serves as a pathfinder for Rayleigh scattering detection in the CMB.
Enhances existing surveys with multi-band data and technological advancements.
Abstract
We present the design and science goals of SPT-3G+, a new camera for the South Pole Telescope, which will consist of a dense array of 34100 kinetic inductance detectors measuring the cosmic microwave background (CMB) at 220 GHz, 285 GHz, and 345 GHz. The SPT-3G+ dataset will enable new constraints on the process of reionization, including measurements of the patchy kinematic Sunyaev-Zeldovich effect and improved constraints on the optical depth due to reionization. At the same time, it will serve as a pathfinder for the detection of Rayleigh scattering, which could allow future CMB surveys to constrain cosmological parameters better than from the primary CMB alone. In addition, the combined, multi-band SPT-3G and SPT-3G+ survey data will have several synergies that enhance the original SPT-3G survey, including: extending the redshift-reach of SZ cluster surveys to ; understanding…
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.
