Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST
We present a new high-resolution free-form mass model of A2744 that combines both weak-lensing (WL) and strong-lensing (SL) data sets from JWST. The SL data set comprises 286 multiple images, presenting the most extensive SL constraint to date for a single cluster. The WL data set, employing photo-...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2024-01-01
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| Series: | The Astrophysical Journal |
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| Online Access: | https://doi.org/10.3847/1538-4357/ad0cbf |
| _version_ | 1827374656593592320 |
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| author | Sangjun Cha Kim HyeongHan Zachary P. Scofield Hyungjin Joo M. James Jee |
| author_facet | Sangjun Cha Kim HyeongHan Zachary P. Scofield Hyungjin Joo M. James Jee |
| author_sort | Sangjun Cha |
| collection | DOAJ |
| description | We present a new high-resolution free-form mass model of A2744 that combines both weak-lensing (WL) and strong-lensing (SL) data sets from JWST. The SL data set comprises 286 multiple images, presenting the most extensive SL constraint to date for a single cluster. The WL data set, employing photo- z selection, yields a source density of $\sim 350\,{\mathrm{arcmin}}^{-2}$ , marking the densest WL constraint ever. The combined mass reconstruction enables the highest-resolution mass map of A2744 within the ∼1.8 Mpc × 1.8 Mpc reconstruction region to date, revealing an isosceles triangular structure with two legs of ∼1 Mpc and a base of ∼0.6 Mpc. Although our algorithm, which is called MAximum-entropy ReconStruction ( MARS ), is entirely blind to the cluster galaxy distribution, the resulting mass reconstruction traces the brightest cluster galaxies remarkably well. The five strongest mass peaks coincide with the five most luminous cluster galaxies within ≲2″. We do not detect any unusual mass peaks that are not traced by the cluster galaxies, unlike the findings in previous studies. Our mass model shows the smallest scatter of SL multiple images in both source (∼0.″05) and image (∼0.″1) planes, which is lower than in previous studies by a factor of ∼4. Although MARS represents the mass field with an extremely large number of free parameters (∼300,000), it converges to a solution within a few hours because we use a deep-learning technique. We make our mass and magnification maps publicly available. |
| first_indexed | 2024-03-08T11:37:57Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1538-4357 |
| language | English |
| last_indexed | 2024-03-08T11:37:57Z |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal |
| spelling | doaj.art-11c2a11e734747a4845fed40d270d8f82024-01-25T11:21:32ZengIOP PublishingThe Astrophysical Journal1538-43572024-01-01961218610.3847/1538-4357/ad0cbfPrecision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWSTSangjun Cha0https://orcid.org/0000-0001-7148-6915Kim HyeongHan1https://orcid.org/0000-0002-2550-5545Zachary P. Scofield2https://orcid.org/0009-0009-4086-7665Hyungjin Joo3https://orcid.org/0000-0001-9139-5455M. James Jee4https://orcid.org/0000-0002-5751-3697Department of Astronomy, Yonsei University , 50 Yonsei-ro, Seoul 03722, Republic of Korea ; sang6199@yonsei.ac.kr, mkjee@yonsei.ac.krDepartment of Astronomy, Yonsei University , 50 Yonsei-ro, Seoul 03722, Republic of Korea ; sang6199@yonsei.ac.kr, mkjee@yonsei.ac.krDepartment of Astronomy, Yonsei University , 50 Yonsei-ro, Seoul 03722, Republic of Korea ; sang6199@yonsei.ac.kr, mkjee@yonsei.ac.krDepartment of Astronomy, Yonsei University , 50 Yonsei-ro, Seoul 03722, Republic of Korea ; sang6199@yonsei.ac.kr, mkjee@yonsei.ac.krDepartment of Astronomy, Yonsei University , 50 Yonsei-ro, Seoul 03722, Republic of Korea ; sang6199@yonsei.ac.kr, mkjee@yonsei.ac.kr; Department of Physics and Astronomy, University of California , Davis, One Shields Avenue, Davis, CA 95616, USAWe present a new high-resolution free-form mass model of A2744 that combines both weak-lensing (WL) and strong-lensing (SL) data sets from JWST. The SL data set comprises 286 multiple images, presenting the most extensive SL constraint to date for a single cluster. The WL data set, employing photo- z selection, yields a source density of $\sim 350\,{\mathrm{arcmin}}^{-2}$ , marking the densest WL constraint ever. The combined mass reconstruction enables the highest-resolution mass map of A2744 within the ∼1.8 Mpc × 1.8 Mpc reconstruction region to date, revealing an isosceles triangular structure with two legs of ∼1 Mpc and a base of ∼0.6 Mpc. Although our algorithm, which is called MAximum-entropy ReconStruction ( MARS ), is entirely blind to the cluster galaxy distribution, the resulting mass reconstruction traces the brightest cluster galaxies remarkably well. The five strongest mass peaks coincide with the five most luminous cluster galaxies within ≲2″. We do not detect any unusual mass peaks that are not traced by the cluster galaxies, unlike the findings in previous studies. Our mass model shows the smallest scatter of SL multiple images in both source (∼0.″05) and image (∼0.″1) planes, which is lower than in previous studies by a factor of ∼4. Although MARS represents the mass field with an extremely large number of free parameters (∼300,000), it converges to a solution within a few hours because we use a deep-learning technique. We make our mass and magnification maps publicly available.https://doi.org/10.3847/1538-4357/ad0cbfDark matter distributionWeak gravitational lensingStrong gravitational lensingGalaxy clusters |
| spellingShingle | Sangjun Cha Kim HyeongHan Zachary P. Scofield Hyungjin Joo M. James Jee Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST The Astrophysical Journal Dark matter distribution Weak gravitational lensing Strong gravitational lensing Galaxy clusters |
| title | Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST |
| title_full | Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST |
| title_fullStr | Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST |
| title_full_unstemmed | Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST |
| title_short | Precision MARS Mass Reconstruction of A2744: Synergizing the Largest Strong-lensing and Densest Weak-lensing Data Sets from JWST |
| title_sort | precision mars mass reconstruction of a2744 synergizing the largest strong lensing and densest weak lensing data sets from jwst |
| topic | Dark matter distribution Weak gravitational lensing Strong gravitational lensing Galaxy clusters |
| url | https://doi.org/10.3847/1538-4357/ad0cbf |
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