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Several missions following Planck are currently under development, which will provide high-precision measurements of the Cosmic Microwave Background (CMB) anisotropies. Specifically, measurements of the E modes will become nearly limited by cosmic variance, which, especially when considering the sharpness of the E-mode transfer functions, may allow for the ability to detect deviations from the concordance model in the CMB data. We investigate the capability of upcoming missions to scrutinize models that have been proposed to address large-scale anomalies observed in the temperature spectra from WMAP and Planck. To this purpose, we consider four benchmarks that modify the CMB angular power spectra at large scales: models producing suppression, a dip, and amplification in the primordial scalar power spectrum, as well as a beyond-Lambda CDM prescription of dark energy. Our analysis shows that large-scale measurements from LiteBIRD will be able to distinguish between various types of primordial and late-time models that predict modifications to the angular spectra at these scales. Moreover, if these deviations from the standard cosmological model are determined to be systematic and do not reflect the true universe model, future experiments could potentially dismiss these features as statistical fluctuations. We also show that additional measurements from CMB-S4 can impose more stringent constraints by probing correlated signals that these models predict at smaller scales (l>100). A byproduct of our analysis is that a recently proposed "Dark Dimension" scenario, featuring power amplification at large scales, is strongly bound by current data, pushing the deviation from the standard model to unobservable scales. Overall, our results demonstrate that future CMB measurements can provide valuable insights into large-scale anomalies that are present in the current CMB data., Comment: 32 pages, 9 figures

A transformative science case for the proposed next-generation Very Large Array (ngVLA) is resolving the surfaces of nearby stars, both spatially and temporally, enabled by the combination of milliarcsecond-scale resolution and unprecedented sensitivity to thermal radio emission. In a previous study, we demonstrated the feasibility of stellar imaging with simulated observations of nearby stars, using both traditional CLEAN techniques and newly developed regularized maximum likelihood (RML) imaging methods for image reconstruction. In this memo, we present a continued study of stellar imaging with the ngVLA, evaluating the imaging capability of the Revision D (henceforth Rev D) Main Array configuration compared to the previous Revision C (henceforth Rev C) configuration. We find that the Rev D configuration, with more uniform coverage and better circular symmetry, improves the synthesized beam, resulting in better CLEAN reconstructions of simulated images of evolved stars with complex morphology, especially with robust weighting. However, the highly non-Gaussian nature of the synthesized beam still persists with both robust and natural weightings in the Rev D configuration and continues to limit the image fidelity of image reconstructions with non-uniform weighting. The RML methods show stable performance that is resilient to different array configurations with image quality comparable to or better than CLEAN methods in the presented simulation, consistent with our previous work. Our simulation results suggest that the Rev D configuration will provide a better deconvolution beam compared with the Rev C configuration, which would enhance the imaging capability for non-uniform weighting, and they continue to demonstrate that RML methods are an attractive choice, even for the improved array configuration., Comment: 11 pages, 7 figures, ngVLA Memo No. 95. arXiv admin note: text overlap with arXiv:1910.00013