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The Fred Young Submillimeter Telescope (FYST) and the Simons ObservatoryLarge Aperture Telescope (SO\ LAT) will deliver unprecedented high-resolutionmeasurements of microwave sky emissions. Notably, one of those microwave skyemissions, the thermal Sunyaev-Zeldovich (tSZ) signal, is an essential probefor cluster astrophysics and cosmology. However, an obstacle to its measurementis contamination by the cosmic infrared background (CIB), especially at highfrequencies. Our goal is to assess the detection and purity of tSZ powerspectrum measurements from these two telescopes. We demonstrate that FYST'shigh-frequency coverage helps lower CIB contamination and improves signaldetection. We simulated the various components of the microwave sky at thefrequencies, sensitivities, and beam sizes of the upcoming SO LAT and FYSTtelescopes using full-sky Hierarchical Equal Area isoLatitude Pixelisation(HEALPix) map templates from the Websky simulations and the Python Sky Model(PySM). We used a map-based internal linear combination (ILC) and a constrainedILC (CILC) to extract the tSZ signal and compute residual noises to assess CIBcontamination and signal recovery. We find that the CIB's residual noise powerspectrum in the ILC-recovered tSZ is lowered by $\sim 35\%$ on average over thescales $\ell \in [500,5000]$ when SO LAT and FYST are combined compared to whenSO LAT is used alone. We find that when using CILC to deproject CIB, thecombined abilities of SO LAT and FYST offer a large $\ell \in [1800,3500]$window in which the recovered tSZ power spectrum is not noise dominated.

Thermal Sunyaev-Zeldovich measurements and cosmic infrared background leakage mitigation combining upcoming ground-based telescopes