Strong Lensing Model and Dust Extinction Maps of the Host Galaxy of Type Ia Supernova H0pe
A. Galan, S. Schuldt, G. B. Caminha, S. H. Suyu, R. Cañameras, S. Ertl, C. Grillo, A. Acebron, B. Frye, A. M. Koekemoer, R. Windhorst, J. M. Diego, N. Foo
TL;DR
This study shows that including the extended surface brightness of a lensed SN host arc significantly enhances the precision of cluster-scale mass models, reducing uncertainties by about an order of magnitude and enabling spatially resolved dust extinction maps in the host galaxy of SN H0pe. Using JWST/NIRCam data and the Glee lens modeling framework, the authors compare a point-like, position-only model to an extended-image model, finding a mass-parameter precision gain of roughly $\approx 12$. They reconstruct the SN host surface brightness across six JWST bands, derive an image-plane dust extinction of $A_V^{\mathrm{H0pe}} = 0.94 \pm 0.25$ (in agreement with independent analyses), and map dust in the source plane, placing SN H0pe on the edge of a high-extinction region. The results underscore the value of extended-image modeling for time-delay cosmography with strongly lensed SNe and lay the groundwork for more flexible models and foreground-light treatments in future work.
Abstract
Strong gravitational lensing by massive galaxy clusters offers particularly rare opportunities to observe multiple images of distant ($z\gtrsim2$) Type Ia supernovae (SNe) and resolve the properties of their host galaxies. A recent outstanding example is the Type Ia SN "H0pe" ($z=1.78$), discovered in James Webb Space Telescope (JWST) NIRCam images when it was still triply imaged by the galaxy cluster PLCK G165.7+67.0 (G165, $z=0.35$). In this work we build a new strong lensing model of G165, first by using only the position of multiple images of background galaxies. We then increase significantly the number of constraints around the position of SN H0pe by modeling the extended surface brightness of the SN host galaxy. The average uncertainty on mass model parameters is reduced by more than an order of magnitude. We also study the spatial distribution of dust in the arc to estimate the dust extinction at the position of SN H0pe. We find good statistical agreement of the extinction estimate at $\lesssim1σ$ with three fully independent methods based on spectral energy distribution fitting. Moreover, our extended-image lens model of G165 allows us to map the dust distribution of the host galaxy from the image plane to the source plane. Supernova H0pe exploded in a region with a relatively high extinction of $A_V \approx 0.9\ {\rm mag}$ at around $\sim 1\ {\rm kpc}$ from its host center. This work shows that extended image modeling in lensing clusters simultaneously reduces the uncertainty on lens model parameters and enables spatially resolved analyses of lensed transients host galaxies. Such modeling advances are expected to play an important role in future cosmological analyses using strongly lensed SNe.
