LoVoCCS. II. Weak Lensing Mass Distributions, Red-sequence Galaxy Distributions, and Their Alignment with the Brightest Cluster Galaxy in 58 Nearby X-Ray-luminous Galaxy Clusters
Fu S, Dell’Antonio I, Escalante Z, Nelson J, Englert A, Helhoski S, Shinde R, Brockland J, LaDuca P, Larkin C, Paris L, Weiner S, Black W, Chary R, Clowe D, Cooper M, Donahue M, Evrard A, Lacy M, Lauer T, Liu B, McCleary J, Meneghetti M, Miyatake H, Montes M, Natarajan P, Ntampaka M, Pierpaoli E, Postman M, Sohn J, Turner D, Umetsu K, Utsumi Y, Wilson G. LoVoCCS. II. Weak Lensing Mass Distributions, Red-sequence Galaxy Distributions, and Their Alignment with the Brightest Cluster Galaxy in 58 Nearby X-Ray-luminous Galaxy Clusters. The Astrophysical Journal 2024, 974: 69. DOI: 10.3847/1538-4357/ad67c6.Peer-Reviewed Original ResearchBrightest cluster galaxiesRed-sequenceCluster galaxiesMass distributionCluster fieldsGalaxy distributionX-ray luminous galaxy clustersLong-term dynamical evolutionMedian misalignment angleDark Energy CameraGalaxy cluster fieldsWeak gravitational lensingWeak lensing analysisLensing mass distributionGalaxy shape noiseCluster mass distributionCosmic timescalesGalaxy clustersGravitational lensingLensing analysisAperture massGalaxiesAB magnitudeDynamic evolutionShape noiseExplainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Chen L, Qiao C, Ren K, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 2024, 298: 120771. PMID: 39111376, PMCID: PMC11533345, DOI: 10.1016/j.neuroimage.2024.120771.Peer-Reviewed Original ResearchConceptsSpatio-temporal dependenciesSpatial neighborhoodGraph learning methodsBrain network analysisNode representationsEvolution mechanisms of complex networksAdjacency informationDynamic brain network analysisModel explainabilityLanguage processingGraph evolutionEvolution learningLearning methodsLocal informationMechanism of complex networksDynamic evolutionModel dynamic interactionsDynamic functional connectivityNetwork componentsNested subgraphsLearning moduleExperimental resultsNetworkNetwork transitionsBrain development studies
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