8 papers
Euclid preparation: Testing multi-field inflation with galaxy power spectrum and bispectrum
Euclid Collaboration, D. Linde, A. Moradinezhad Dizgah +281
Primordial non-Gaussianity (PNG) is a powerful probe of the origin of cosmic structure. Stage-IV surveys like \Euclid will measure galaxy - and -point clustering at high sign…
Euclid preparation. Galaxy power spectrum and bispectrum modelling
Euclid Collaboration, K. Pardede, A. Eggemeier +306
Higher-order correlation functions of the large-scale galaxy distribution offer access to information beyond that contained in standard 2-point statistics such as the power spectru…
Testing parity with composite-field spectra of BOSS and DESI luminous red galaxies
Zucheng Gao, Marina S. Cagliari, Azadeh Moradinezhad Dizgah +1
Detection of parity violation on cosmological scales would have profound implications for fundamental physics. Motivated in part by recent measurements of parity-odd four-point cor…
Towards an optimal extraction of cosmological parameters from galaxy cluster surveys using convolutional neural networks
Iñigo Sáez-Casares, Matteo Calabrese, Davide Bianchi +4
The possibility to constrain cosmological parameters from galaxy surveys using field-level machine learning methods that bypass traditional summary statistics analyses, depends cru…
Hierarchical summaries for primordial non-Gaussianities
M. S. Cagliari, A. Bairagi, B. Wandelt
The advent of Stage IV galaxy redshift surveys such as DESI and Euclid marks the beginning of an era of precision cosmology, with one key objective being the detection of primordia…
Disentangling Target Lines from Interlopers and Continuum with Neural Networks: A SPHEREx Intensity Mapping Case Study
Marina S. Cagliari, Zucheng Gao, Azadeh Moradinezhad Dizgah
Line-intensity mapping (LIM) traces the large-scale distribution of matter by measuring fluctuations in aggregate line emission from unresolved galaxies and the intergalactic mediu…