18 research outputs found

    From the Inner to Outer Milky Way: A Photometric Sample of 2.6 Million Red Clump Stars

    Full text link
    Large pristine samples of red clump stars are highly sought after given that they are standard candles and give precise distances even at large distances. However, it is difficult to cleanly select red clumps stars because they can have the same Teff_{\mathrm{eff}} and log gg as red giant branch stars. Recently, it was shown that the asteroseismic parameters, Δ\rm{\Delta}P and Δν\rm{\Delta\nu}, which are used to accurately select red clump stars, can be derived from spectra using the change in the surface carbon to nitrogen ratio ([C/N]) caused by mixing during the red giant branch. This change in [C/N] can also impact the spectral energy distribution. In this study, we predict the Δ\rm{\Delta}P, Δν\rm{\Delta\nu}, Teff_{\mathrm{eff}} and log gg using 2MASS, AllWISE, \gaia, and Pan-STARRS data in order to select a clean sample of red clump stars. We achieve a contamination rate of ∼\sim20\%, equivalent to what is achieved when selecting from Teff_{\mathrm{eff}} and log gg derived from low resolution spectra. Finally, we present two red clump samples. One sample has a contamination rate of ∼\sim 20\% and ∼\sim 405,000 red clump stars. The other has a contamination of ∼\sim 33\% and ∼\sim 2.6 million red clump stars which includes ∼\sim 75,000 stars at distances >> 10 kpc. For |b|>30 degrees we find ∼\sim 15,000 stars with contamination rate of ∼\sim 9\%. The scientific potential of this catalog for studying the structure and formation history of the Galaxy is vast given that it includes millions of precise distances to stars in the inner bulge and distant halo where astrometric distances are imprecise.Comment: 18 pages, 13 figures, 2 tables, submitted to MNRA

    The COMBS survey I : Chemical Origins of Metal-Poor Stars in the Galactic Bulge

    Get PDF
    19 pages, 5 tables, accepted to MNRASChemistry and kinematic studies can determine the origins of stellar population across the Milky Way. The metallicity distribution function of the bulge indicates that it comprises multiple populations, the more metal-poor end of which is particularly poorly understood. It is currently unknown if metal-poor bulge stars ([Fe/H] <−1 dex) are part of the stellar halo in the inner most region, or a distinct bulge population or a combination of these. Cosmological simulations also indicate that the metal-poor bulge stars may be the oldest stars in the Galaxy. In this study, we successfully target metal-poor bulge stars selected using SkyMapper photometry. We determine the stellar parameters of 26 stars and their elemental abundances for 22 elements using R∼ 47 000 VLT/UVES spectra and contrast their elemental properties with that of other Galactic stellar populations. We find that the elemental abundances we derive for our metal-poor bulge stars have lower overall scatter than typically found in the halo. This indicates that these stars may be a distinct population confined to the bulge. If these stars are, alternatively, part of the innermost distribution of the halo, this indicates that the halo is more chemically homogeneous at small Galactic radii than at large radii. We also find two stars whose chemistry is consistent with second-generation globular cluster stars. This paper is the first part of the Chemical Origins of Metal-poor Bulge Stars (COMBS) survey that will chemodynamically characterize the metal-poor bulge population.Peer reviewedFinal Published versio

    The COMBS Survey -- III. The Chemodynamical Origins of Metal-Poor Bulge Stars

    Get PDF
    © 2021 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.The characteristics of the stellar populations in the Galactic Bulge inform and constrain the Milky Way's formation and evolution. The metal-poor population is particularly important in light of cosmological simulations, which predict that some of the oldest stars in the Galaxy now reside in its center. The metal-poor bulge appears to consist of multiple stellar populations that require dynamical analyses to disentangle. In this work, we undertake a detailed chemodynamical study of the metal-poor stars in the inner Galaxy. Using R∼\sim 20,000 VLT/GIRAFFE spectra of 319 metal-poor (-2.55 dex≤\leq[Fe/H]≤\leq0.83 dex, with [Fe/H]‾\overline{\rm{[Fe/H]}}=-0.84 dex) stars, we perform stellar parameter analysis and report 12 elemental abundances (C, Na, Mg, Al, Si, Ca, Sc, Ti, Cr, Mn, Zn, Ba, and Ce) with precisions of ≈\approx0.10 dex. Based on kinematic and spatial properties, we categorise the stars into four groups, associated with the following Galactic structures: the inner bulge, the outer bulge, the halo, and the disk. We find evidence that the inner and outer bulge population is more chemically complex (i.e., higher chemical dimensionality and less correlated abundances) than the halo population. This result suggests that the older bulge population was enriched by a larger diversity of nucleosynthetic events. We also find one inner bulge star with a [Ca/Mg] ratio consistent with theoretical pair-instability supernova yields and two stars that have chemistry consistent with globular cluster stars.Peer reviewedFinal Published versio

    Dynamically constraining the length of the Milky Way bar

    Full text link
    We present a novel method for constraining the length of the Galactic bar using 6D phase space information to directly integrate orbits. We define a pseudo-length for the Galactic bar, named RFreqR_{Freq}, based on the maximal extent of trapped bar orbits. We find the RFreqR_{Freq} measured from orbits is consistent with the RFreqR_{Freq} of the assumed potential only when the length of the bar and pattern speed of said potential is similar to the model from which the initial phase-space coordinates of the orbits are derived. Therefore, one can measure the model's or the Milky Way's bar length from 6D phase-space coordinates by determining which assumed potential leads to a self-consistent measured RFreqR_{Freq}. When we apply this method to ≈\approx210,000 stars in APOGEE DR17 and GaiaGaia eDR3 data, we find a consistent result only for potential models with a dynamical bar length of ≈\approx3.5 kpc. We find the Milky Way's trapped bar orbits extend out to only ≈\approx3.5 kpc, but there is also an overdensity of stars at the end of the bar out to 4.8 kpc which could be related to an attached spiral arm. We also find that the measured orbital structure of the bar is strongly dependent on the properties of the assumed potential.Comment: 15 pages, 8 figures, 2 tables, accepted to MNRAS, comments welcom

    Carbon-Enhanced Metal-Poor star candidates from BP/RP Spectra in GaiaGaia DR3

    Full text link
    Carbon-enhanced metal-poor (CEMP) stars comprise almost a third of stars with [Fe/H] < --2, although their origins are still poorly understood. It is highly likely that one sub-class (CEMP-ss stars) is tied to mass-transfer events in binary stars, while another sub-class (CEMP-no stars) are enriched by the nucleosynthetic yields of the first generations of stars. Previous studies of CEMP stars have primarily concentrated on the Galactic halo, but more recently they have also been detected in the thick disk and bulge components of the Milky Way. GaiaGaia DR3 has provided an unprecedented sample of over 200 million low-resolution (R≈R\approx 50) spectra from the BP and RP photometers. Training on the CEMP catalog from the SDSS/SEGUE database, we use XGBoost to identify the largest all-sky sample of CEMP candidate stars to date. In total, we find 58,872 CEMP star candidates, with an estimated contamination rate of 12%. When comparing to literature high-resolution catalogs, we positively identify 60-68% of the CEMP stars in the data, validating our results and indicating a high completeness rate. Our final catalog of CEMP candidates spans from the inner to outer Milky Way, with distances as close as r∼r \sim 0.8 kpc from the Galactic center, and as far as r>r > 30 kpc. Future higher-resolution spectroscopic follow-up of these candidates will provide validations of their classification and enable investigations of the frequency of CEMP-ss and CEMP-no stars throughout the Galaxy, to further constrain the nature of their progenitors.Comment: 19 pages, 14 figures, accepted to MNRA

    The Kepler Smear Campaign: Light curves for 102 Very Bright Stars

    Full text link
    We present the first data release of the Kepler Smear Campaign, using collateral 'smear' data obtained in the Kepler four-year mission to reconstruct light curves of 102 stars too bright to have been otherwise targeted. We describe the pipeline developed to extract and calibrate these light curves, and show that we attain photometric precision comparable to stars analyzed by the standard pipeline in the nominal Kepler mission. In this paper, aside from publishing the light curves of these stars, we focus on 66 red giants for which we detect solar-like oscillations, characterizing 33 of these in detail with spectroscopic chemical abundances and asteroseismic masses as benchmark stars. We also classify the whole sample, finding nearly all to be variable, with classical pulsations and binary effects. All source code, light curves, TRES spectra, and asteroseismic and stellar parameters are publicly available as a Kepler legacy sample.Comment: 35 pages, accepted ApJ

    Identical or fraternal twins? The chemical homogeneity of wide binaries from Gaia DR2

    Get PDF
    One of the high-level goals of Galactic archaeology is chemical tagging of stars across the Milky Way to piece together its assembly history. For this to work, stars born together must be uniquely chemically homogeneous. Wide binary systems are an important laboratory to test this underlying assumption. Here, we present the detailed chemical abundance patterns of 50 stars across 25 wide binary systems comprised of main-sequence stars of similar spectral type identified in Gaia DR2 with the aim of quantifying their level of chemical homogeneity. Using high-resolution spectra obtained with McDonald Observatory, we derive stellar atmospheric parameters and precise detailed chemical abundances for light/odd-Z (Li, C, Na, Al, Sc, V, Cu), α (Mg, Si, Ca), Fe-peak (Ti, Cr, Mn, Fe, Co, Ni, Zn), and neutron capture (Sr, Y, Zr, Ba, La, Nd, Eu) elements. Results indicate that 80 per cent (20 pairs) of the systems are homogeneous in [Fe/H] at levels below 0.02 dex. These systems are also chemically homogeneous in all elemental abundances studied, with offsets and dispersions consistent with measurement uncertainties. We also find that wide binary systems are far more chemically homogeneous than random pairings of field stars of similar spectral type. These results indicate that wide binary systems tend to be chemically homogeneous but in some cases they can differ in their detailed elemental abundances at a level of [X/H] ∼ 0.10 dex, overall implying chemical tagging in broad strokes can work.KH has been partially supported by a TDA/Scialog grant funded by the Research Corporation and a Scialog grant funded by the Heising-Simons Foundation. KH acknowledges support from the National Science Foundation grant AST-1907417. This work was performed, in part, at the Aspen Center for Physics, which is supported by National Science Foundation grant PHY-1607611. DK and MT have been supported by Cox Endowment funds through the Board of Visitors of the University of Texas at Austin Department of Astronomy. YST is grateful to be supported by the NASA Hubble Fellowship grant HST-HF2-51425.001 awarded by the Space Telescope Science Institute. APJ is supported by NASA through Hubble Fellowship grant HST-HF2-51393.001 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. Support for this work was provided by NASA through Hubble Fellowship grant HST-HF251399.001 awarded to JT by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. AC thanks the LSSTC Data Science Fellowship Program, which is funded by LSSTC, NSF Cybertraining Grant 1829740, the Brinson Foundation, and the Moore Foundation. Her participation in the program has benefited this work
    corecore