Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200587718> ?p ?o ?g. }
- W4200587718 endingPage "266" @default.
- W4200587718 startingPage "266" @default.
- W4200587718 abstract "Abstract We introduce a novel method for reconstructing the projected matter distributions of galaxy clusters with weak-lensing (WL) data based on a convolutional neural network (CNN). Training data sets are generated with ray-tracing through cosmological simulations. We control the noise level of the galaxy shear catalog such that it mimics the typical properties of the existing ground-based WL observations of galaxy clusters. We find that the mass reconstruction by our multilayered CNN with the architecture of alternating convolution and trans-convolution filters significantly outperforms the traditional reconstruction methods. The CNN method provides better pixel-to-pixel correlations with the truth, restores more accurate positions of the mass peaks, and more efficiently suppresses artifacts near the field edges. In addition, the CNN mass reconstruction lifts the mass-sheet degeneracy when applied to our projected cluster mass estimation from sufficiently large fields. This implies that this CNN algorithm can be used to measure the cluster masses in a model-independent way for future wide-field WL surveys." @default.
- W4200587718 created "2021-12-31" @default.
- W4200587718 creator A5004144165 @default.
- W4200587718 creator A5012743965 @default.
- W4200587718 creator A5015711312 @default.
- W4200587718 creator A5031110958 @default.
- W4200587718 creator A5088829113 @default.
- W4200587718 date "2021-12-01" @default.
- W4200587718 modified "2023-09-26" @default.
- W4200587718 title "Weak-lensing Mass Reconstruction of Galaxy Clusters with a Convolutional Neural Network" @default.
- W4200587718 cites W1673261188 @default.
- W4200587718 cites W1986472861 @default.
- W4200587718 cites W1991878345 @default.
- W4200587718 cites W2011301426 @default.
- W4200587718 cites W2030737301 @default.
- W4200587718 cites W2035871342 @default.
- W4200587718 cites W2041570229 @default.
- W4200587718 cites W2045328081 @default.
- W4200587718 cites W2050130030 @default.
- W4200587718 cites W2057504741 @default.
- W4200587718 cites W2072760721 @default.
- W4200587718 cites W2128178461 @default.
- W4200587718 cites W2135625048 @default.
- W4200587718 cites W2141449818 @default.
- W4200587718 cites W2142238829 @default.
- W4200587718 cites W2145095123 @default.
- W4200587718 cites W2148061928 @default.
- W4200587718 cites W2158198302 @default.
- W4200587718 cites W2194775991 @default.
- W4200587718 cites W2342249984 @default.
- W4200587718 cites W2345867446 @default.
- W4200587718 cites W2515239931 @default.
- W4200587718 cites W2612688942 @default.
- W4200587718 cites W2618904690 @default.
- W4200587718 cites W2743247785 @default.
- W4200587718 cites W2773284837 @default.
- W4200587718 cites W2782977076 @default.
- W4200587718 cites W2808496877 @default.
- W4200587718 cites W2963351448 @default.
- W4200587718 cites W2964198375 @default.
- W4200587718 cites W2993270824 @default.
- W4200587718 cites W3098900881 @default.
- W4200587718 cites W3100446834 @default.
- W4200587718 cites W3100775037 @default.
- W4200587718 cites W3100996879 @default.
- W4200587718 cites W3101637390 @default.
- W4200587718 cites W3101652218 @default.
- W4200587718 cites W3102075459 @default.
- W4200587718 cites W3103145119 @default.
- W4200587718 cites W3103474240 @default.
- W4200587718 cites W3103877238 @default.
- W4200587718 cites W3104062568 @default.
- W4200587718 cites W3104755968 @default.
- W4200587718 cites W3106305553 @default.
- W4200587718 doi "https://doi.org/10.3847/1538-4357/ac3090" @default.
- W4200587718 hasPublicationYear "2021" @default.
- W4200587718 type Work @default.
- W4200587718 citedByCount "0" @default.
- W4200587718 crossrefType "journal-article" @default.
- W4200587718 hasAuthorship W4200587718A5004144165 @default.
- W4200587718 hasAuthorship W4200587718A5012743965 @default.
- W4200587718 hasAuthorship W4200587718A5015711312 @default.
- W4200587718 hasAuthorship W4200587718A5031110958 @default.
- W4200587718 hasAuthorship W4200587718A5088829113 @default.
- W4200587718 hasBestOaLocation W42005877181 @default.
- W4200587718 hasConcept C11413529 @default.
- W4200587718 hasConcept C120665830 @default.
- W4200587718 hasConcept C121332964 @default.
- W4200587718 hasConcept C124101348 @default.
- W4200587718 hasConcept C153180895 @default.
- W4200587718 hasConcept C154945302 @default.
- W4200587718 hasConcept C156055797 @default.
- W4200587718 hasConcept C159249277 @default.
- W4200587718 hasConcept C160633673 @default.
- W4200587718 hasConcept C164866538 @default.
- W4200587718 hasConcept C190670322 @default.
- W4200587718 hasConcept C199360897 @default.
- W4200587718 hasConcept C2777727622 @default.
- W4200587718 hasConcept C2780009758 @default.
- W4200587718 hasConcept C33024259 @default.
- W4200587718 hasConcept C41008148 @default.
- W4200587718 hasConcept C44870925 @default.
- W4200587718 hasConcept C45347329 @default.
- W4200587718 hasConcept C50644808 @default.
- W4200587718 hasConcept C60644358 @default.
- W4200587718 hasConcept C81363708 @default.
- W4200587718 hasConcept C86803240 @default.
- W4200587718 hasConcept C98444146 @default.
- W4200587718 hasConceptScore W4200587718C11413529 @default.
- W4200587718 hasConceptScore W4200587718C120665830 @default.
- W4200587718 hasConceptScore W4200587718C121332964 @default.
- W4200587718 hasConceptScore W4200587718C124101348 @default.
- W4200587718 hasConceptScore W4200587718C153180895 @default.
- W4200587718 hasConceptScore W4200587718C154945302 @default.
- W4200587718 hasConceptScore W4200587718C156055797 @default.
- W4200587718 hasConceptScore W4200587718C159249277 @default.
- W4200587718 hasConceptScore W4200587718C160633673 @default.
- W4200587718 hasConceptScore W4200587718C164866538 @default.