Optimizing measurements of cluster velocities and temperatures for CCAT-prime and future surveys
arXiv:1708.06365 · doi:10.1088/1475-7516/2018/02/032
Abstract
Galaxy cluster velocity correlations and mass distributions are sensitive probes of cosmology and the growth of structure. Upcoming microwave surveys will enable extraction of velocities and temperatures from many individual clusters for the first time. We forecast constraints on peculiar velocities, electron temperatures, and optical depths of galaxy clusters obtainable with upcoming multi-frequency measurements of the kinematic, thermal, and relativistic Sunyaev-Zeldovich effects. The forecasted constraints are compared for different measurement configurations with frequency bands between 90 GHz and 1 THz, and for different survey strategies for the 6-meter CCAT-prime telescope. We study methods for improving cluster constraints by removing emission from dusty star forming galaxies, and by using X-ray temperature priors from eROSITA. Cluster constraints are forecast for several model cluster masses. A sensitivity optimization for seven frequency bands is presented for a CCAT-prime first light instrument and a next generation instrument that takes advantage of the large optical throughput of CCAT-prime. We find that CCAT-prime observations are expected to enable measurement and separation of the SZ effects to characterize the velocity, temperature, and optical depth of individual massive clusters (). Submillimeter measurements are shown to play an important role in separating these components from dusty galaxy contamination. Using a modular instrument configuration with similar optical throughput for each detector array, we develop a rule of thumb for the number of detector arrays desired at each frequency to optimize extraction of these signals. Our results are relevant for a future "Stage IV" cosmic microwave background survey, which could enable galaxy cluster measurements over a larger range of masses and redshifts than will be accessible by other experiments.
20 pages, 11 figures
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Cited by in corpus (14)
- CCAT-prime Collaboration: Science Goals and Forecasts with Prime-Cam on the Fred Young Submillimeter Telescope
- Imaging the Thermal and Kinematic Sunyaev-Zel'dovich Effect Signals in a Sample of Ten Massive Galaxy Clusters: Constraints on Internal Velocity Structures and Bulk Velocities
- Sensitivity of the Prime-Cam Instrument on the CCAT-prime Telescope
- Weak Lensing of Intensity Mapping: the Cosmic Infrared Background
- Mapping the relativistic electron gas temperature across the sky
- Cosmology with the thermal-kinetic Sunyaev-Zel'dovich effect
- Efficient Mass Estimate at the Core of Strong Lensing Galaxy Clusters Using the Einstein Radius
- Introducing constrained matched filters for improved separation of point sources from galaxy clusters
- Physical modelling of galaxy clusters using Einasto dark matter profiles
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- Peculiar Velocity Estimation from Kinetic SZ Effect using Deep Neural Networks
- kSZ Pairwise Velocity Reconstruction with Machine Learning
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- GLTCAM: Concept of Multi-color Millimeter and Submillimeter Camera for the Greenland Telescope