4 papers
Multi-Method Machine Learning Classification of Astronomical Sources with Rubin Data Previews: a Spectroscopy-Free Approach with DP1 and DP2
Andrés Alejandro Plazas Malagón, Yasna Ordenes-Briceño, Dan S. Taranu +8
We present a multi-method machine-learning study for the binary photometric classification of point-like and extended sources in the Rubin Observatory Data Preview 1 (DP1) and Data…
Weak-lensing mass calibration of \emph{Planck} Sunyaev--Zel'dovich clusters with HSC-SSP Year~3
Andrés Alejandro Plazas Malagón, Hironao Miyatake, Surhud More +3
We present a weak gravitational lensing mass calibration of 19 \textit{Planck} Sunyaev--Zel'dovich (SZ) selected galaxy clusters using shape measurements from the Hyper Suprime-Cam…
Brightest Cluster Galaxy ellipticity as proxy for halo shape: Orientation bias, assembly bias, and potential selection effects in SZ-selected clusters
Radhakrishnan Srinivasan, Tae-hyeon Shin, Anja von der Linden +93
The orientation of triaxial galaxy clusters with respect to the line-of-sight is expected to be one of the prime sources of scatter and potential bias in optical observables (e.g.,…
Identifying and Measuring Satellite Streaks in DECam Images
Alexandra Serrano Mendoza, Meredith L. Rawls, Andrés Alejandro Plazas Malagón
The rapid growth of satellite constellations, particularly Starlink, is increasingly affecting ground-based astronomy. In this project, we developed a workflow to detect, identify,…