Smokescreen is a Python package that blinds cosmological data vectors using Firecrown likelihoods on SACC files while encrypting the true data to avoid premature unblinding.
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Blue galaxy selection in DES Y3 cosmic shear mitigates IA effects, producing stable parameters with 1.5x smaller S8 uncertainty and improved CMB agreement versus the full sample.
Lensing amplitude A_L deviates from 1 at up to 3.06 sigma in combined datasets while other phenomenological amplitudes remain consistent with Lambda CDM or are poorly constrained.
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Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses
Smokescreen is a Python package that blinds cosmological data vectors using Firecrown likelihoods on SACC files while encrypting the true data to avoid premature unblinding.
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Dark Energy Survey Year 3: Blue Shear
Blue galaxy selection in DES Y3 cosmic shear mitigates IA effects, producing stable parameters with 1.5x smaller S8 uncertainty and improved CMB agreement versus the full sample.
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Constraints on Phenomenological Amplitudes of CMB Anisotropy with Multi-Datasets
Lensing amplitude A_L deviates from 1 at up to 3.06 sigma in combined datasets while other phenomenological amplitudes remain consistent with Lambda CDM or are poorly constrained.