Testing light-unaffiliated mass clumps in MACS 0416 on galaxy and galaxy-cluster scales using the JWST

Light-unaffiliated mass clumps (<ns0:sc>LUMC</ns0:sc>s), i.e. dark matter (DM) components without any stellar counterparts, have been reported in strong-lensing mass reconstructions of MACS 0416, both on galaxy and galaxy-cluster scales. On a galaxy-cluster scale, the most recent L<ns0:sc>ENSTOOL</ns0:sc> parametric mass reconstruction based on 303 spectroscopically confirmed multiple images features a <ns0:sc>LUMC</ns0:sc> in the south of the cluster. On galaxy scale, the most recent G<ns0:sc>RALE</ns0:sc> non-parametric mass reconstruction based on 237 multiple images features two <ns0:sc>LUMC</ns0:sc>s, M1 and M2. Given the implications of these findings in the context of structure formation and evolution, we tested these features parametrically using the L<ns0:sc>ENSTOOL</ns0:sc> code. First, we show that a mass model in which each large-scale DM component introduced in the modelling is associated with a stellar counterpart can reproduce the 303 multiple images, removing the need for any cluster-scale <ns0:sc>LUMC</ns0:sc> in MACS 0416. We then updated the G<ns0:sc>RALE</ns0:sc> non-parametric mass reconstruction using the 303 multiple images, finding that one of the two galaxy-scale <ns0:sc>LUMC</ns0:sc>s, M1, is no longer significant, while M2 remains. We tested M2 by explicitly including it in our parametric model, at the position and with the mass inferred from our updated G<ns0:sc>RALE</ns0:sc> model. We find that the inclusion of this <ns0:sc>LUMC</ns0:sc> does not improve the global root mean square (RMS), but mildly improves locally the RMS for one multiple image located close to M2. Besides, the preferred mass for M2 corresponds to the lowest mass allowed by the adopted prior. If we allow the mass of M2 to reach 0, then L<ns0:sc>ENSTOOL</ns0:sc> converges to this null value, consistently rejecting M2. We present a detailed comparison of parametric and non-parametric models in the M2 area. It appears that both approaches show very similar surface mass density at this location, with a 5–6% difference between the mass maps. The difference is that G<ns0:sc>RALE</ns0:sc> favours a distinct mass substructure, while L<ns0:sc>ENSTOOL</ns0:sc> favours a more diffuse mass distribution. We were able to propose a parametric mass model without including any <ns0:sc>LUMC</ns0:sc>s, providing further evidence of DM being associated with light in galaxy clusters. Finally, further investigations into the mass distribution at the M2 location are necessary. In this paper, we present two new mass models and associated products based on the 303 multiple images that will be hosted at the Strong Lensing Cluster Atlas Data Base at the Laboratoire d’Astrophysique de Marseille.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-31
DOI
https://doi.org/10.1051/0004-6361/202556007/pdf
Primary Topic
Geochemistry and Geologic Mapping
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article

Testing light-unaffiliated mass clumps in MACS 0416 on galaxy and galaxy-cluster scales using the JWST

Springer Link (Chiba Institute of Technology)
Geochemistry and Geologic Mapping
article

Testing light-unaffiliated mass clumps in MACS 0416 on galaxy and galaxy-cluster scales using the JWST

article en

Abstract

Light-unaffiliated mass clumps (<ns0:sc>LUMC</ns0:sc>s), i.e. dark matter (DM) components without any stellar counterparts, have been reported in strong-lensing mass reconstructions of MACS 0416, both on galaxy and galaxy-cluster scales. On a galaxy-cluster scale, the most recent L<ns0:sc>ENSTOOL</ns0:sc> parametric mass reconstruction based on 303 spectroscopically confirmed multiple images features a <ns0:sc>LUMC</ns0:sc> in the south of the cluster. On galaxy scale, the most recent G<ns0:sc>RALE</ns0:sc> non-parametric mass reconstruction based on 237 multiple images features two <ns0:sc>LUMC</ns0:sc>s, M1 and M2. Given the implications of these findings in the context of structure formation and evolution, we tested these features parametrically using the L<ns0:sc>ENSTOOL</ns0:sc> code. First, we show that a mass model in which each large-scale DM component introduced in the modelling is associated with a stellar counterpart can reproduce the 303 multiple images, removing the need for any cluster-scale <ns0:sc>LUMC</ns0:sc> in MACS 0416. We then updated the G<ns0:sc>RALE</ns0:sc> non-parametric mass reconstruction using the 303 multiple images, finding that one of the two galaxy-scale <ns0:sc>LUMC</ns0:sc>s, M1, is no longer significant, while M2 remains. We tested M2 by explicitly including it in our parametric model, at the position and with the mass inferred from our updated G<ns0:sc>RALE</ns0:sc> model. We find that the inclusion of this <ns0:sc>LUMC</ns0:sc> does not improve the global root mean square (RMS), but mildly improves locally the RMS for one multiple image located close to M2. Besides, the preferred mass for M2 corresponds to the lowest mass allowed by the adopted prior. If we allow the mass of M2 to reach 0, then L<ns0:sc>ENSTOOL</ns0:sc> converges to this null value, consistently rejecting M2. We present a detailed comparison of parametric and non-parametric models in the M2 area. It appears that both approaches show very similar surface mass density at this location, with a 5–6% difference between the mass maps. The difference is that G<ns0:sc>RALE</ns0:sc> favours a distinct mass substructure, while L<ns0:sc>ENSTOOL</ns0:sc> favours a more diffuse mass distribution. We were able to propose a parametric mass model without including any <ns0:sc>LUMC</ns0:sc>s, providing further evidence of DM being associated with light in galaxy clusters. Finally, further investigations into the mass distribution at the M2 location are necessary. In this paper, we present two new mass models and associated products based on the 303 multiple images that will be hosted at the Strong Lensing Cluster Atlas Data Base at the Laboratoire d’Astrophysique de Marseille.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 44%
Geochemistry and Geologic Mapping
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