9 papers
The role of supercluster filaments in shaping galaxy clusters
Raúl Baier-Soto, Yara Jaffé, Alexis Finoguenov +44
In a hierarchical CDM Universe, cosmic filaments serve as the primary channels for matter accretion into galaxy clusters, influencing the shape of their dark matter halos. We i…
Probing cosmic velocities with the pairwise kinematic Sunyaev-Zel'dovich signal in DESI Bright Galaxy Sample DR1 and ACT DR6
B. Hadzhiyska, Y. Gong, Y. Hsu +55
We present a measurement of the pairwise kinematic Sunyaev-Zel'dovich (kSZ) signal using the Dark Energy Spectroscopic Instrument (DESI) Bright Galaxy Sample (BGS) Data Release 1 (…
The Atacama Cosmology Telescope: Machine Learning Driven Tools for Detecting Millimeter Sources in Timestream Pre-processing
Simran K. Nerval, Erika Hornecker, Yilun Guan +14
We present a new pipeline utilizing machine learning for classifying short-duration features in raw time-ordered data (TOD) of cosmic microwave background survey observations. The…
The fifth data release of the Kilo Degree Survey: Multi-epoch optical/NIR imaging covering wide and legacy-calibration fields
Angus H. Wright, Konrad Kuijken, Hendrik Hildebrandt +51
We present the final data release of the Kilo-Degree Survey (KiDS-DR5), a public European Southern Observatory (ESO) wide-field imaging survey optimised for weak gravitational lens…
Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
G. Aguilar-Argüello, G. Fuentes-Pineda, H. M. Hernández-Toledo +9
We employ the XGBoost machine learning (ML) method for the morphological classification of galaxies into two (early-type, late-type) and five (E, S0--S0a, Sa--Sb, Sbc--Scd, Sd--Irr…
Dark matter halos of luminous AGNs from galaxy-galaxy lensing with the HSC Subaru Strategic Program
Wentao Luo, John D. Silverman, Surhud More +12
We assess the dark matter halo masses of luminous AGNs over the redshift range 0.2 to 1.2 using galaxy-galaxy lensing based on imaging data from the Hyper Suprime-Cam Subaru Strate…