Tighter Dark Matter Constraints from the Projected Mass Method: A Neural Network Enhanced Method for Galaxy Groups and Clusters
Yinbo Huang, David Benisty
astro-ph.GA, astro-ph.CO, gr-qc
Submitted: 2026-07-16
Comments: 12 pages; Comments are welcome!
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- The Structure of Cold Dark Matter Halos
- A Universal Density Profile from Hierarchical Clustering
- The distribution of dark matter in galaxies
- Galaxy Groups
- Stellar mass-to-light ratios and the Tully-Fisher relation
- The Masses of the Milky Way and Andromeda galaxies
- The frozen outskirts: a cold Hubble flow and the mass of the Local Group
- Applying scale-free mass estimators to the Local Group in Constrained Local Universe Simulations
- First Results from the TNG50 Simulation: The evolution of stellar and gaseous disks across cosmic time
- Prediction of galaxy halo masses in SDSS DR7 via a machine learning approach
- The mass of the Milky Way from satellite dynamics
- Line-of-sight mass estimator and the masses of the Milky Way and Andromeda Galaxy
- Properties of galaxies reproduced by a hydrodynamic simulation
- The Illustris Simulation: Public Data Release
- First Results from the TNG50 Simulation: Galactic outflows driven by supernovae and black hole feedback
- Populating a cluster of galaxies - I. Results at z=0
- The Orbital Ellipticity of Satellite Galaxies and the Mass of the Milky Way
- Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning
- Adam: A Method for Stochastic Optimization
- A Comprehensive Analysis of Uncertainties Affecting the Stellar Mass - Halo Mass Relation for 0<z<4
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