Enhanced strong-lensing model of MACS~J0138.02155 based on new JWST and VLT/MUSE observations
arXiv:2503.09694 · doi:10.1051/0004-6361/202554468
Abstract
We present a new parametric strong lensing analysis of the galaxy cluster MACS J0138.0-2155 at z = 0.336, the first known to show two multiply-imaged supernova (SN) siblings, SN Requiem and SN Encore at z= 1.949. We exploit HST and JWST multiband imaging in synergy with new MUSE spectroscopy to develop an improved lens mass model. We include 84 cluster members (of which ~60% are spectroscopically confirmed) and two perturber galaxies along the line of sight. Our observables consist of 23 spectroscopically confirmed multiple images from 8 background sources, spanning a fairly wide redshift range, from 0.767 to 3.420. To accurately characterise the sub-halo mass component, we calibrate the Faber-Jackson scaling relation based on the stellar kinematics of 14 bright cluster galaxies. We build several lens models, with different cluster total mass parametrisations, to assess the statistical and systematic uncertainties on the predicted values of the position and magnification of the observed and future multiple images of SN Requiem and SN Encore. Our reference best-fit lens model reproduces the observed positions of the multiple images with a root-mean-square offset of 0".36, and the multiple image positions of the SNe and their host galaxy with a remarkable mean precision of only 0".05. We measure a projected total mass of , consistent with that independently derived from the Chandra X-ray analysis. We demonstrate the reliability of the new lens model by reconstructing the extended surface-brightness distribution of the multiple images of the host galaxy. The discrepancy between our model-predicted magnification values with those from previous studies, critical for understanding the intrinsic properties of the SNe and their host galaxy, underscores the need to combine cutting-edge observations with detailed lens modelling.
15 pages, 8 figures; accepted for publication in A&A
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