87 citations · 358 across the 28 of their papers we have counts for
6 papers · 1 filter
Massive s through the CNN lens: interpreting the field-level neutrino mass information in weak lensing
Malika Golshan, Adrian E. Bayer
Modern cosmological surveys probe the Universe deep into the nonlinear regime, where massive neutrinos suppress cosmic structure. Traditional cosmological analyses, which use the 2…
CHARM: Creating Halos with Auto-Regressive Multi-stage networks
Shivam Pandey, Chirag Modi, Benjamin D. Wandelt +7
To maximize the amount of information extracted from cosmological datasets, simulations that accurately represent these observations are necessary. However, traditional simulations…
Simulation-Based Inference Benchmark for Weak Lensing Cosmology
Justine Zeghal, Denise Lanzieri, François Lanusse +5
Standard cosmological analysis, which relies on two-point statistics, fails to extract the full information of the data. This limits our ability to constrain with precision cosmolo…
Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates
Jakob Robnik, Adrian E. Bayer, Maria Charisi +3
Periodograms are widely employed for identifying periodicity in time series data, yet they often struggle to accurately quantify the statistical significance of detected periodic s…
The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations
Adrian E. Bayer, Yici Zhong, Zack Li +3
Upcoming cosmological surveys have the potential to reach groundbreaking discoveries on multiple fronts, including the neutrino mass, dark energy, and inflation. Most of the key sc…
Significance of void shape: Neutrino mass from Voronoi void halos?
Adrian E. Bayer, Jia Liu, Christina D. Kreisch +1
Massive neutrinos suppress the growth of cosmic structure on nonlinear scales, motivating the use of information beyond the power spectrum to tighten constraints on the neutrino ma…