With the advent of the Rubin LSST, its deep filters and multi-band information promise unprecedented opportunities to extract extensive catalogues of Young Stellar Objects (YSOs) and investigate their unique physical processes. We will present the most complete and deep survey of the Carina Nebula star-forming region, using data from the Dark Energy Camera (DECam) in the 'z' band—a remarkable precursor to the Rubin LSST, having also insights from its time-series data. Our presentation will introduce the techniques employed for source extraction and photometry in the crowded fields of this very rich stellar nursery (Hartigan et al., in prep.), then focus on astrometric cross-matching with other catalogues, evaluating catalog completeness and studying the membership, and also show time series results from the stellar population of this star-forming region (Tramuto et al., in prep.). By doing so, we aim to compare these results to the expected performance of the Rubin LSST, offering valuable insights into its potential capabilities. Additionally, we will discuss our approach and highlight its significance in the context of future Rubin LSST data, and we will show how the Rubin Science Platform can serve as a powerful tool for the visualization and interpretation of these complex datasets.

Tramuto, A.S.; Bonito, R.; Venuti, L.; Argiroffi, C.; Miceli, M.; Hartigan, P. (19-23 Maggio 2025).Preparing for Rubin LSST with DECam Data: Mapping Stellar Populations in the Carina Nebula.

Preparing for Rubin LSST with DECam Data: Mapping Stellar Populations in the Carina Nebula

Alessandro Salvatore Tramuto
Primo
;
Rosaria Bonito;Costanza Argiroffi;Marco Miceli;

Abstract

With the advent of the Rubin LSST, its deep filters and multi-band information promise unprecedented opportunities to extract extensive catalogues of Young Stellar Objects (YSOs) and investigate their unique physical processes. We will present the most complete and deep survey of the Carina Nebula star-forming region, using data from the Dark Energy Camera (DECam) in the 'z' band—a remarkable precursor to the Rubin LSST, having also insights from its time-series data. Our presentation will introduce the techniques employed for source extraction and photometry in the crowded fields of this very rich stellar nursery (Hartigan et al., in prep.), then focus on astrometric cross-matching with other catalogues, evaluating catalog completeness and studying the membership, and also show time series results from the stellar population of this star-forming region (Tramuto et al., in prep.). By doing so, we aim to compare these results to the expected performance of the Rubin LSST, offering valuable insights into its potential capabilities. Additionally, we will discuss our approach and highlight its significance in the context of future Rubin LSST data, and we will show how the Rubin Science Platform can serve as a powerful tool for the visualization and interpretation of these complex datasets.
accretion - accretion disks - stars: pre-main sequence - stars: variables: T-Tauri - Carina Nebula - facility: DECam, Rubin LSST
Tramuto, A.S.; Bonito, R.; Venuti, L.; Argiroffi, C.; Miceli, M.; Hartigan, P. (19-23 Maggio 2025).Preparing for Rubin LSST with DECam Data: Mapping Stellar Populations in the Carina Nebula.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/700251
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