8 papers
Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning
Yulin Gong, Rachel Bean
Accurate reconstruction of peculiar velocities from galaxy positions is important for probing the motion and evolution of large scale structure. They are sensitive to the cosmologi…
Detection of the Pairwise Kinematic Sunyaev-Zel'dovich Effect and Pairwise Velocity with DESI DR1 Galaxies and ACT DR6 and Planck CMB Data
Yulin Gong, Patricio A. Gallardo, Rachel Bean +50
We present a 9.3-sigma detection of the pairwise kinematic Sunyaev-Zeldovich (kSZ) effect by combining a sample of 913,286 Luminous Red Galaxies (LRGs) from the Dark Energy Spectro…
Iskay2: Signal Extraction of the Kinematic Sunyaev-Zel'dovich Effect Through The Pairwise Estimator. Pipeline and Validation
Patricio A. Gallardo, Yulin Gong, Boryana Hadzhiyska +1
The peculiar motions of massive halos probe the distribution of matter in the universe, the gravitational potential, and the history of cosmic structure growth. The kinematic Sunya…
Cluster optical depth and pairwise velocity estimation using machine learning
Yulin Gong, Rachel Bean
We apply two machine learning methods, a CNN deep-leaning model and a gradient-boosting decision tree, to estimate individual cluster optical depths from observed properties derive…
The Atacama Cosmology Telescope: DR6 Maps
Sigurd Naess, Yilun Guan, Adriaan J. Duivenvoorden +163
We present Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) maps of the Cosmic Microwave Background temperature and polarization anisotropy at arcminute resolution over three…
The Atacama Cosmology Telescope: DR6 Constraints on Extended Cosmological Models
Erminia Calabrese, J. Colin Hill, Hidde T. Jense +169
We use new cosmic microwave background (CMB) primary temperature and polarization anisotropy measurements from the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) to test fo…