In Kizhuprakkat et al. we present mock catalogues that reproduce the selection criteria of MWS and the format of the final MWS data set. These catalogues can be used to test methods for quantifying the properties of stellar halo substructure and reconstructing the Milky Way's accretion history with the MWS data, including the effects of halo-to-halo variance. In Adame et al. we report early results from the Dark Energy Spectroscopic Instrument (DESI). In Carlberg et al. we measure the distribution of random velocities in long streams in simulated Milky Way-like halos that develop in representative warm dark matter (WDM) and cold dark matter (CDM) cosmologies. We find that the radial velocity distributions are well modeled as the sum of a Gaussian and an exponential. In Manset et al., we provide spectral classifications for all white dwarfs observed in the DESI Early Data release , and discuss their distribution within the Gaia Hertzsprung–Russell diagram. The DESI EDR white dwarf sample is significantly less biased than the sample observed by the Sloan Digital Sky Survey, which is skewed to bluer and therefore hotter white dwarfs, making DESI more complete and suitable for performing statistical studies of white dwarfs.
[Institute of Astronomy]AuriDESI: mock catalogues for the DESI Milky Way Survey
AuriDESI: mock catalogues for the DESI Milky Way Survey
Sustainable Development Goals
Abstract/Objectives
The work by Kizhuprakkat et al. introduces mock catalogues that mirror the selection criteria and format of the final Milky Way (MWS) dataset, aiding in the analysis of stellar halo substructure and the Milky Way's accretion history. Adame et al. present initial findings from the Dark Energy Spectroscopic Instrument (DESI), while Carlberg et al. investigate the distribution of random velocities in long streams within simulated Milky Way-like halos, finding that these distributions can be modeled using both Gaussian and exponential functions. Additionally, Manset et al. classify all observed white dwarfs in the DESI Early Data release, analyzing their placement within the Gaia Hertzsprung–Russell diagram. They conclude that the DESI sample is less biased compared to that from the Sloan Digital Sky Survey, making it more suitable for comprehensive statistical studies of white dwarfs.
Results/Contributions
Contact Information
安德魯˙古柏老師
apcooper@gapp.nthu.edu.tw