Decadal upgrade strategy for KAGRA toward post-O5 gravitational-wave astronomy
KAGRA Collaboration: T. Akutsu, M. Ando, M. Aoumi, A. Araya, Y. Aso, L. Baiotti, R. Bajpai, K. Cannon, A. H.-Y. Chen, D. Chen, H. Chen, A. Chiba, C. Chou, M. Eisenmann, K. Endo, T. Fujimori, S. Garg, D. Haba, S. Haino, R. Harada, H. Hayakawa, K. Hayama, S. Fujii, Y. Himemoto

TL;DR
This paper presents a comprehensive ten-year upgrade plan for the KAGRA gravitational wave detector, focusing on optimizing scientific outcomes like binary neutron star parameter estimation while balancing technical feasibility and costs.
Contribution
It introduces a prioritized upgrade strategy emphasizing high-frequency sensitivity improvements, supported by detailed feasibility and impact assessments.
Findings
High-frequency upgrades improve sky localization to <0.5 deg$^2$ at 100 Mpc.
Upgrade enhances tidal deformability measurement precision by ~10%.
Broadband sensitivity increase above 200 Hz offers optimal scientific and technical balance.
Abstract
The KAGRA Collaboration has investigated a ten-year upgrade strategy for the KAGRA gravitational wave detector, considering a total of 14 upgrade options that vary in mirror mass, quantum noise reduction techniques, and the quality of cryogenic suspensions. We evaluated the scientific potential of these configurations with a focus on key targets such as parameter estimation of compact binary coalescences, binary neutron star post-merger signals, and continuous gravitational waves. Rather than aiming to improve all science cases uniformly, we prioritized those most sensitive to the detector configuration. Technical feasibility was assessed based on required hardware developments, associated R\&D efforts, cost, and risk. Our study finds that a high-frequency upgrade plan that enhances sensitivity over a broad frequency range above ~200 Hz offers the best balance between scientific return…
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.
