2023
A persistent excess of galaxy-galaxy strong lensing observed in galaxy clusters
Meneghetti M, Cui W, Rasia E, Yepes G, Acebron A, Angora G, Bergamini P, Borgani S, Calura F, Despali G, Giocoli C, Granata G, Grillo C, Knebe A, Macciò A, Mercurio A, Moscardini L, Natarajan P, Ragagnin A, Rosati P, Vanzella E. A persistent excess of galaxy-galaxy strong lensing observed in galaxy clusters. Astronomy & Astrophysics 2023, 678: l2. DOI: 10.1051/0004-6361/202346975.Peer-Reviewed Original ResearchGalaxy clustersObserved galaxy clustersStrong lensingCold dark matter cosmological modelCosmological modelsDense stellar coreGalaxy formation modelsCosmological hydrodynamical simulationsStandard cosmological modelDifferent observational propertiesRay-tracing analysisCluster galaxiesStar formationIntracluster mediumStellar coreHydrodynamical simulationsObservational propertiesGalaxiesLensingOrders of magnitudeSame initial conditionsNumerical implementationFormation modelTheoretical predictionsInitial conditions
2022
The probability of galaxy–galaxy strong lensing events in hydrodynamical simulations of galaxy clusters
Meneghetti M, Ragagnin A, Borgani S, Calura F, Despali G, Giocoli C, Granato G, Grillo C, Moscardini L, Rasia E, Rosati P, Angora G, Bassini L, Bergamini P, Caminha G, Granata G, Mercurio A, Metcalf R, Natarajan P, Nonino M, Pignataro G, Ragone-Figueroa C, Vanzella E, Acebron A, Dolag K, Murante G, Taffoni G, Tornatore L, Tortorelli L, Valentini M. The probability of galaxy–galaxy strong lensing events in hydrodynamical simulations of galaxy clusters. Astronomy & Astrophysics 2022, 668: a188. DOI: 10.1051/0004-6361/202243779.Peer-Reviewed Original ResearchGalaxy formation modelsGalaxy clustersHydrodynamical simulationsCosmological modelsCross sectionsStellar mass functionCluster-size haloesLensing cross sectionNumerical hydrodynamical simulationsΛCDM cosmological modelFormation modelMassive galaxiesStar formationAGN feedbackEinstein radiusStrong lensingCosmological simulationsGalaxy–galaxyGravitational softeningΛCDM cosmologyMass functionGalaxiesGas coolingMass resolutionDifferent massesGalaxies in the central regions of simulated galaxy clusters
Ragagnin A, Meneghetti M, Bassini L, Ragone-Figueroa C, Granato G, Despali G, Giocoli C, Granata G, Moscardini L, Bergamini P, Rasia E, Valentini M, Borgani S, Calura F, Dolag K, Grillo C, Mercurio A, Murante G, Natarajan P, Rosati P, Taffoni G, Tornatore L, Tortorelli L. Galaxies in the central regions of simulated galaxy clusters. Astronomy & Astrophysics 2022, 665: a16. DOI: 10.1051/0004-6361/202243651.Peer-Reviewed Original ResearchMaximum circular velocityGalaxy formation modelsCircular velocityStellar massHydrodynamic simulationsObserved stellar massEfficient star formationCluster-sized halosStrong lensing observationsAGN feedback modelsCluster member galaxiesGravitational lensing propertiesFormation modelRelevant mass rangeCluster galaxiesMember galaxiesStar formationGalaxy formationGalaxy clustersLensing observationsStrong lensingGalaxy–galaxyΛCDM paradigmMass profileLensing properties
2008
Consequences of dark matter self-annihilation for galaxy formation
Natarajan P, Croton D, Bertone G. Consequences of dark matter self-annihilation for galaxy formation. Monthly Notices Of The Royal Astronomical Society 2008, 388: 1652-1666. DOI: 10.1111/j.1365-2966.2008.13306.x.Peer-Reviewed Original ResearchActive galactic nucleiInner density profileGalactic nucleiDark matterGalaxy formationMassive particlesRadio-loud active galactic nucleiDensity profilesDark matter annihilationDark matter haloesGalaxy formation modelsTens of parsecsS-wave annihilationAdditional heating processesMatter annihilationMatter haloesGalaxy luminosityGalaxy scalesStar formationBright galaxiesCosmological simulationsLuminosity functionCluster scalesEnergy injectionFormation model
2002
Accretion during the Merger of Supermassive Black Holes
Armitage P, Natarajan P. Accretion during the Merger of Supermassive Black Holes. The Astrophysical Journal 2002, 567: l9-l12. DOI: 10.1086/339770.Peer-Reviewed Original Research
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