4 papers
Catalog-based detection of unrecognized blends in deep optical ground based imaging
Shuang Liang, Prakruth Adari, Anja von der Linden +1
In deep, ground-based imaging, about 15%-30% of object detections are expected to correspond to two or more true objects - these are called ``unrecognized blends''. We use Machine…
Constraining Galaxy Cluster Triaxiality via Weak Lensing -- I. Preparation for the Rubin Data Beyond Leading Order
Shenming Fu, Radhakrishnan Srinivasan, Tae-hyeon Shin +13
The 3D mass distributions of galaxy clusters are generally triaxial, a geometry that is difficult to constrain from projected observations. In this work, we measure the projected h…
Forecasting Dark Matter Subhalo Constraints from Stellar Streams using Implicit Likelihood Inference
Tri Nguyen, Rutong Pei, Zhuofu Li +9
The evidence for dark matter (DM) remains compelling, although attempts to understand its particle nature remain inconclusive. One promising method to study DM is detecting DM subh…
Weak lensing mass-richness relation of redMaPPer clusters in the LSST DESC DC2 simulations
Constantin Payerne, Zhuowen Zhang, Michel Aguena +13
Cluster scaling relations are key ingredients in cluster abundance-based cosmological studies. In optical cluster cosmology, where clusters are detected through their richness, clu…