2023
Detecting low-mass perturbers in cluster lenses using curved arc bases
Şengül A, Birrer S, Natarajan P, Dvorkin C. Detecting low-mass perturbers in cluster lenses using curved arc bases. Monthly Notices Of The Royal Astronomical Society 2023, 526: 2525-2541. DOI: 10.1093/mnras/stad2784.Peer-Reviewed Original ResearchDark matterGalaxy clustersCluster lensesDark matter modelIndividual cluster galaxiesSubhalo mass functionRealistic mock dataCluster mass distributionLine of sightCluster galaxiesBackground galaxiesLensing distortionMatter modelMass substructureMass functionMock dataMass resolutionPotential perturbersPerturberMass modelMass distributionGalaxiesLens modelPowerful constraintsSubhaloes
2011
Cluster lenses
Kneib J, Natarajan P. Cluster lenses. The Astronomy And Astrophysics Review 2011, 19: 47. DOI: 10.1007/s00159-011-0047-3.Peer-Reviewed Original ResearchCluster lensesClusters of galaxiesUnique observational signaturesWeak lensing regimeAngular diameter distancePowerful geometric toolLow intrinsic luminosityCluster mass distributionStrong lensing regimeGalaxy formationGalaxy populationDark matterBackground galaxiesGiant arcsHigh redshiftCluster LensingGravitational lensesObservational signaturesDark energyIntrinsic luminosityCosmological parametersDiameter distanceGeneral relativityLight raysGeometric tools
2010
Cosmography with cluster strong lenses: the influence of substructure and line‐of‐sight haloes
D'Aloisio A, Natarajan P. Cosmography with cluster strong lenses: the influence of substructure and line‐of‐sight haloes. Monthly Notices Of The Royal Astronomical Society 2010, 411: 1628-1640. DOI: 10.1111/j.1365-2966.2010.17795.x.Peer-Reviewed Original ResearchDark energy equationCluster lensesMarkov chain Monte Carlo techniquesBayesian Markov chain Monte Carlo techniquesEnergy equationAngular diameter distanceMultiply imaged systemsScaling relationsMonte Carlo techniqueCluster member galaxiesPossible time variationUnbiased constraintsMonte Carlo simulationsTypical redshiftsCosmological parametersMember galaxiesModelling errorGalaxy clustersDiameter distanceDark energyBackground galaxiesCarlo techniqueMassive clustersSight structuresStrong lensing
2004
Abundance of Substructure in Clusters of Galaxies
Natarajan P, Springel V. Abundance of Substructure in Clusters of Galaxies. The Astrophysical Journal 2004, 617: l13-l16. DOI: 10.1086/427079.Peer-Reviewed Original ResearchGalaxy–galaxy lensingClusters of galaxiesHigh-resolution cosmological N-body simulationsCold dark matter modelCosmological N-body simulationsAbundance of substructureDark matter substructureDark matter modelN-body simulationsFaint cluster galaxiesPresent observational dataLow mass scaleScale of clustersCluster galaxiesSubstructure abundanceMatter modelCluster lensesRange 1011Mass functionCDM theoryGalaxiesMass scaleLensingExcellent agreementSuch substructures
2002
Evidence for Tidal Stripping of Dark Matter Halos in Massive Cluster Lenses
Natarajan P, Kneib J, Smail I. Evidence for Tidal Stripping of Dark Matter Halos in Massive Cluster Lenses. The Astrophysical Journal 2002, 580: l11-l15. DOI: 10.1086/345399.Peer-Reviewed Original ResearchCluster galaxiesCluster lensesArchival Hubble Space Telescope dataEarly-type cluster galaxiesHubble Space Telescope dataDark matter substructureDark matter haloesGalaxy–galaxy lensingSpace Telescope dataMassive lensing clustersField galaxiesIndividual galaxiesMatter haloesDark matterLensing clustersTidal strippingDark haloTidal radiusLuminosity galaxiesLensing analysisTelescope dataTidal truncationΣ significanceCluster potentialCentral density
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