Simulating cosmological substructure in the solar neighbourhood
Registro en:
Simpson, Christine M., Gargiulo, Ignacio., Gómez, Facundo A., Grand, Robert J., Maffione, Nicolás P. y et al. (2019). Simulating cosmological substructure in the solar neighbourhood. Oxford University Press; Monthly Notices of the Royal Astronomical Society: Letters; 490 (1); L32-L37
1745-3933
Autor
Simpson, Christine M.
Gargiulo, Ignacio
Gómez, Facundo A.
Grand, Robert J.
Maffione, Nicolás Pablo
Cooper, Andrew P.
Deason, Alis J.
Frenk, Carlos
Helly, John
Marinacci, Federico
Pakmor, Rudiger
Institución
Resumen
Fil: Simpson, Christine M. The University of Chicago; USA. Fil: Gargiulo, Ignacio. Universidad de La Serena; Chile. Fil: Gómez, Facundo A. Universidad de La Serena; Chile. Fil: Grand, Robert J. Max-Planck-Institut fur Astrophysik; Alemania. Fil: Maffione, Nicolás P. Universidad Nacional de Río Negro. Sede Andina. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; Argentina. Fil: Cooper, Andrew P. National Tsing Hua University; Taiwan. Fil: Deason, Alis J. Durham University; UK. Fil: Frenk, Carlos. Durham University; UK. Fil: Helly, John. Durham University; UK. Fil: Marinacci, Federico. University of Bologna; Italia. Fil: Pakmor, Rudiger. Max-Planck-Institut fur Astrophysik; Alemania. Fil: Maffione, Nicolás P. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina true We explore the predictive power of cosmological, hydrodynamical simulations for stellar phase-space substructure and velocity correlations with the AURIGA simulations and AURIGAIA mock Gaia catalogues. We show that at the solar circle the AURIGA simulations commonly host phase-space structures in the stellar component that have constant orbital energies and arise from accreted subhaloes. These structures can persist for a few Gyr, even after coherent streams in position space have been erased. We also explore velocity two-point correlation functions and find this diagnostic is not deterministic for particular clustering patterns in phase space. Finally, we explore these structure diagnostics with the AURIGAIA catalogues and show that current catalogues have the ability to recover some structures in phase space but careful consideration is required to separate physical structures from numerical structures arising from catalogue generation methods.