3 papers
astro-ph.CO2025
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…
astro-ph.CO2025
Correcting for interloper contamination in the power spectrum with neural networks
Marina S. Cagliari, Azadeh Moradinezhad Dizgah, Francisco Villaescusa-Navarro
Modern slitless spectroscopic surveys, such as Euclid and the Roman Space Telescope, collect vast numbers of galaxy spectra but suffer from low signal-to-noise ratios. This often l…
astro-ph.CO2025
Bispectrum constraints on Primordial non-Gaussianities with the eBOSS DR16 quasars
Marina S. Cagliari, Matilde Barberi-Squarotti, Kevin Pardede +2
We present constraints on , the parameter quantifying the amplitude of local Primordial Non-Gaussianities (PNG), from a combined analysis of the tree-level power spectr…