7 papers
Cosmicflows-4 and the Cosmological Consistency of Large-Scale Motions
Adi Nusser, Brent Tully
We study coherent flows in Cosmicflows-4 (CF4) and its constituent catalogs. We fit monopole and dipole moments in nonoverlapping radial bins using a log-distance radial-velocity e…
Bayesian Reconstruction of the Local Universe from 2MRS: Testing the Gravitational Flow with Cosmicflows-4
Adi Nusser
We present a Bayesian reconstruction of the local density and velocity fields traced by the 2MASS Redshift Survey (2MRS) and test the inferred gravitational flow against independen…
On distance and velocity estimation in cosmology
Adi Nusser
Scatter in distance indicators introduces two conceptually distinct systematic biases when reconstructing peculiar velocity fields from redshifts and distances. The first is distan…
Estimating cluster masses: a comparative study between machine learning and maximum likelihood
Raeed Mundow, Adi Nusser
We compare an autoencoder convolutional neural network (AE-CNN) with a conventional maximum-likelihood estimator (MLE) for inferring cluster virial masses, , directly from the…
Probing the Dark Sector using the Fornax Satellite
Eyal Zamlung, Adi Nusser
A long-range force acting only in the dark sector can displace the stellar component of satellite galaxies relative to their dark matter (DM) halos, thereby \emph{breaking} the wea…
Neural network reconstruction of density and velocity fields from the 2MASS Redshift Survey
Robert Lilow, Punyakoti Ganeshaiah Veena, Adi Nusser
We reconstruct the 3D matter density and peculiar velocity fields in the local Universe up to a distance of 200Mpc from the Two-Micron All-Sky Redshift Survey (2MRS), u…