Blinding scheme for the scale-dependence bias signature of local primordial non-Gaussianity for DESI 2024
E. Chaussidon, A. de Mattia, C. Y\`eche, J. Aguilar, S. Ahlen, D., Brooks, T. Claybaugh, S. Cole, A. de la Macorra, P. Doel, K. Fanning, E., Gazta\~naga, S. Gontcho A Gontcho, C. Howlett, T. Kisner, A. Lambert, L. Le, Guillou, M. Manera, A. Meisner, R. Miquel, G. Niz

TL;DR
This paper introduces a blinding method at the density field level to prevent confirmation bias in measuring local primordial non-Gaussianity, crucial for upcoming spectroscopic surveys like DESI.
Contribution
A novel blinding technique that generates weights to mask the scale-dependent bias signature, ensuring unbiased analysis of primordial non-Gaussianity in large-scale structure data.
Findings
Validated through simulations mimicking DESI data
Compatible with other catalog-level blinding procedures
Effective in preventing bias in non-Gaussianity measurements
Abstract
The next generation of spectroscopic surveys is expected to achieve an unprecedented level of accuracy in the measurement of cosmological parameters. To avoid confirmation bias and thereby improve the reliability of these results, blinding procedures become a standard practice in the cosmological analyses of such surveys. Blinding is especially crucial when the impact of observational systematics is important relative to the cosmological signal, and a detection of that signal would have significant implications. This is the case for local primordial non-gaussianity, as probed by the scale-dependent bias of the galaxy power spectrum at large scales that are heavily sensitive to the dependence of the target selection on the imaging quality, known as imaging systematics. We propose a blinding method for the scale-dependent bias signature of local primordial non-gaussianity at the density…
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Taxonomy
TopicsStatistical and numerical algorithms · CCD and CMOS Imaging Sensors · Adaptive optics and wavefront sensing
