Submitted to ApJ. The main text contains 15 pages and 9 figures. The appendix contains 4 pages and 3 figures
The discovery of extremely luminous galaxies at ultra-high redshifts ($z\gtrsim 8$) has posed a challenge for galaxy formation models. Most statistical analyses of this tension to date have not properly accounted for the variance due to field-to-field clustering, which causes the number counts of galaxies to vary from field to field, greatly in excess of Poisson noise. This super-Poissonian variance is often referred to as cosmic variance. Since cosmic variance increases rapidly as a function of mass, redshift, and for small observing areas, the most massive objects in deep \textit{JWST} surveys are severely impacted by cosmic variance. In this paper, we introduce a simple model to predict the distribution of the mass of the most massive galaxy found for different survey designs, which includes cosmic variance. The distributions differ significantly from previous predictions using the Extreme Value Statistics formalism, changing both the position and shape of the distribution of most massive galaxies in a counter-intuitive way. We test our model using the \texttt{UniverseMachine} simulations, where the predicted effects of including cosmic variance are clearly identifiable. Moreover, we find that the highly significant skew in the distributions of galaxy number counts for typical deep \textit{JWST} surveys lead to a high "variance on the variance", which greatly impacts the calculation of the cosmic variance itself. We conclude that it is crucial to accurately account for the impact of cosmic variance in any future analysis of tension between extreme galaxies in the early universe and galaxy formation models.
The current limit on the tensor-to-scalar ratio from the BICEP/Keck Collaboration (with r<0.036 at 95% confidence) puts pressure on early universe models, with less than 10% of the error on r attributed to uncertainty in Galactic foregrounds. We use the BICEP/Keck BK18 public multi-frequency likelihood to test some further assumptions made in the foreground modeling, finding little impact on the estimate for r. We then estimate foreground-marginalized cosmic microwave background (CMB) B-mode polarization bandpowers. We fit them with a multivariate offset-lognormal distribution and construct a marginalized 'BK-lite' likelihood for the CMB B-mode spectrum with no nuisance parameters, serving as a method demonstration for future analyses of small sky regions, for example from the South Pole Observatory or CMB-S4.
13 pages, 10 figures
We apply a suite of different estimators to the Quijote-PNG halo catalogues to find the best approach to constrain Primordial non-Gaussianity (PNG) at non-linear cosmological scales, up to $k_{\rm max} = 0.5 \, h\,{\rm Mpc}^{-1}$. The set of summary statistics considered in our analysis includes the power spectrum, bispectrum, halo mass function, marked power spectrum, and marked modal bispectrum. Marked statistics are used here for the first time in the context of PNG study. We perform a Fisher analysis to estimate their cosmological information content, showing substantial improvements when marked observables are added to the analysis. Starting from these summaries, we train deep neural networks (NN) to perform likelihood-free inference of cosmological and PNG parameters. We assess the performance of different subsets of summary statistics; in the case of $f_\mathrm{NL}^\mathrm{equil}$, we find that a combination of the power spectrum and a suitable marked power spectrum outperforms the combination of power spectrum and bispectrum, the baseline statistics usually employed in PNG analysis. A minimal pipeline to analyse the statistics we identified can be implemented either with our ML algorithm or via more traditional estimators, if these are deemed more reliable.
13 pages, 8 figures, version submitted to Applied Optics
We present an estimate of the Atacama Cosmology Telescope (ACT) detector polarization angle systematic uncertainty from optics perturbation analysis using polarization-sensitive ray tracing in CODE V optical design software. Uncertainties in polarization angle calibration in CMB measurements can limit constraints on cosmic birefringence and other cosmological measurements. Our framework estimates the angle calibration systematic uncertainties from possible displacements in lens positions and orientations, and anti-reflection coating (ARC) thicknesses and refractive indices. With millimeter displacements in lens positions and percent-level perturbations in ARC thicknesses and indices from design, we find the total systematic uncertainty for three ACT detector arrays operating between 90--220 GHz to be at the tenth of degree scale. Reduced lens position and orientation uncertainties from physical measurements could lead to a reduction in the systematic uncertainty estimated with the framework presented here. This optical modeling can inform polarization angle systematic uncertainties for current and future microwave polarimeters, such as the CCAT Observatory, Simons Observatory, and CMB-S4.
Accepted to PSJ. 13 pages, 3 tables, 7 figures
34 pages, 12 figures, 31 tables, accepted for publication in RevMexAA, vol. 60, num. 1, April 24
11 pages; comments are welcome
18 pages, 8 figures, 2 tables, code available at this https URL
57 pages, 26 figures
Accepted for publication in the Astrophysical Journal
12 pages, 17 figures, submitted to the Open Journal of Astrophysics
21 pages, 9 figures, submitted to ApJ
Published in ApJ. 8 pages, 3 figures, 1 table
19 pages, 22 figures, accepted for publication by A&A
44 pages, 10 figures, 1 table. Accepted for publication in Astronomy and Astrophysics 15 Feb 2024. Abstract abridged for arXiv
Accepted for Publication in The Astronomical Journal, 7 Figures, 4 Tables, 13 Pages
32 pag, 17 figures
19 pages, 6 figures This is the submission version of manuscript to Nature Astronomy
24 pages, 8 figures. Accepted for publication in ApJ
Main text: 12 pages, 10 figures; Appendix: 5 pages, 5 figures; Accepted for publication in MNRAS
21 pages, 2 columns, 8 figures, comments are welcome
Accepted for publication in MNRAS
20 pages, 13 figures, Accepted in ApJ
13 pages, 5 figures, Accepted for publication in ApJ
53 pages, 40 figures, 3 tables
Accepted for publication in A&A. Article contains 28 pages and 15 figures. Abstract here abridged for brevity
8 pages, ASTRA 2023: 17th Symposium on Advanced Space Technologies in Robotics and Automation, 18-20 October 2023, Leiden, The Netherlands
19 pages, 9 figures, submitted to ApJ
proceedings paper
22 pages, 16 figures, proposed for acceptance in A&A
Main paper: 26 pages, 5 tables, 22 figures. Appendices: 27 pages (with figures of all spectra, and tables). Accepted for publication in Astronomy & Astrophysics
17 pages, accepted by the Planetary Science Journal
53 pages, 53 figures, Accepted for publication in Astronomy & Astrophysics
9 pages, 5 figures
Accepted for publication in "Frontiers in Astronomy and Space Sciences"
23 pages, 13 figures, accepted for publication in A&A
16 pages, 7 figures, accepted for publication in ApJ
A&A article proposed for acceptance
Published in Nature Astronomy (2024), arXiv version presents text and figures before proofing
5 pages, 2 figures
Accepted for publication in MNRAS. 15 figures, 3 tables
10 pages, 6 figures
Resubmitted to MNRAS after first set of reviewer's recommendations. Comments welcome
16 pages, 8 figures, 3 tables, Accepted for publication in ApJ
19 pages, 25 figures, accepted in A&A
53 pages, 8 figures
26 pages, 9 figures including appendices and references
10 pages, 5 figures
16 pages, 2 figures
9 pages, 7 figures