Further support for a trio of mass-to-light deviations in Abell 370: free-form Grale lens inversion using BUFFALO strong lensing data

Abstract

We use the Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) strong lensing image catalog of the merging galaxy cluster Abell 370 to obtain a mass model using the free-form lens inversion algorithm GRALE. The improvement of the strong lensing data quality results in a lens plane rms of only 0.45 arcsec, about a factor of two lower than that of our existing HFF v4 reconstruction. We attribute the improvement to spectroscopic data and use of the full reprocessed HST mosaics. In our reconstructed mass model, we found indications of three distinct mass features in Abell 370: (i) a $\sim 35$ kpc offset between the northern BCG and the nearest mass peak, (ii) a $\sim 100$ kpc mass concentration of roughly critical density $\sim 250$ kpc east of the main cluster, and (iii) a probable filament-like structure passing N-S through the cluster. While (i) is present in some form in most publicly available reconstructions spanning the range of modeling techniques: parametric, hybrid, and free-form, (ii) and (iii) are recovered by only about half of the reconstructions. We tested our hypothesis on the presence of the filament-like structure by creating a synthetic cluster - Irtysh IIIc - mocking the situation of a cluster with external mass. We also computed the source plane magnification distributions. Using them we estimated the probabilities of magnifications in the source plane, and scrutinized their redshift dependence. Finally, we explored the lensing effects of Abell 370 on the luminosity functions of sources at $z_s=9.0$, finding it consistent with published results.

16 pages, 13 figures

References in corpus (13)

• UV Luminosity Functions at redshifts z~4 to z~10: 10000 Galaxies from HST Legacy Fields
• Cluster Lenses
• Mass and magnification maps for the Hubble Space Telescope Frontier Fields clusters: implications for high redshift studies
• Lens models and magnification maps of the six Hubble Frontier Fields clusters
• Comparison of weak lensing masses and X-ray properties of galaxy clusters
• An Atlas of MUSE Observations towards Twelve Massive Lensing Clusters
• Probing 3D Structure with a Large MUSE Mosaic: Extending the Mass Model of Frontier Field Abell 370
• Non-parametric inversion of gravitational lensing systems with few images using a multi-objective genetic algorithm
• Systematic vs. Statistical Uncertainties in Masses and Magnifications of the Hubble Frontier Fields
• Probability of magnification in the $\text{Hubble Frontier Fields}$ clusters
• Free-form Grale lens inversion of galaxy clusters with up to 1000 multiple images
• Exploring Effects on Magnifications due to Line-of-Sight Galaxies in the Hubble Frontier Fields
• Extended lens reconstructions with Grale: exploiting time domain, substructural and weak-lensing information

Cited by in corpus (11)

• Improved strong lensing modelling of galaxy clusters using the Fundamental Plane: Detailed mapping of the baryonic and dark matter mass distribution of Abell S1063
• VLT/MUSE observations of SDSS J1029+2623: towards a high-precision strong lensing model
• Pilot-WINGS: An extended MUSE view of the structure of Abell 370
• Beyond the Ultra-deep Frontier Fields And Legacy Observations (BUFFALO): a high-resolution strong + weak-lensing view of Abell 370
• RXJ0437+00: Constraining Dark Matter with Exotic Gravitational Lenses
• Model-Independent Mass Reconstruction of the Hubble Frontier Field Clusters with MARS Based on Self-Consistent Strong Lensing Data
• Line-of-sight Elongation and Hydrostatic Mass Bias of the Frontier Fields Galaxy Cluster Abell 370
• An excursion into the core of the cluster lens Abell 1689
• BUFFALO Wild Wings: A High Precision Free-Form Lens Model of MACSJ0416 with Constraints on Dark Matter from Substructure and Highly Magnified Arcs
• Galaxy Spectra neural Networks (GaSNets). I. Searching for strong lens candidates in eBOSS spectra using Deep Learning
• MrMARTIAN: A Multi-resolution Mass Reconstruction Algorithm Combining Free-form and Analytic Components