Search arXiv⌕ Search

arXiv subjects

Vincent A. Smedile

Publications and source records attributed to Vincent A. Smedile.

3 recordsLinked to original sources

Let Sleeping Stars Li: Mapping Turnoff Lithium, the Lithium Dip, & Testing Standard Model Predictions in GALAH DR4 Subgiants

Lithium is an excellent tracer of stellar mixing. We reconstruct the end of the main sequence lithium depletion pattern using the GALAH DR4 3D-NLTE lithium dataset for 22,442 stars, complemented by masses and subgiant lithium dilution factors inferred from YREC stellar models. We recover the two canonical features seen in clusters: a cool plateau ($\mathrm{M_{[Fe/H]_{\odot}}} \sim 1.2 \mathrm{M_\odot}$) with a median $A(Li) = 2.42$, and a steep plunge into the lithium dip ($\mathrm{M_{[Fe/H]_{\odot}}} \sim 1.35 \mathrm{M_\odot}$) dominated by upper limits at $A(Li) < 1.5$. Above the dip, our data reveal a striking new pattern with a wide range of abundances. We argue this reflects severe rotationally induced mixing in most stars, with lithium preserved in a minority where gravitational settling suppresses mixing. Lithium depletion with intrinsic dispersion is universal across the sample. Predicted and observed dilution trends agree well below the dip. For higher-mass stars, dilution corrections agree with standard models, but our upper envelope lies below open cluster values. We attribute this to a shallower lithium preservation zone and further evidence for gravitational settling and radiative levitation. We detect lithium in $\approx25\%$ of dip stars, whereas clusters show none; neither blurring of a narrow mass feature nor binary contamination fully explains this. The cool plateau is 0.8 dex below the solar meteoritic value across a wide range of $[Fe/H]$. After accounting for pre-main sequence depletion, the plateau is elevated at $\geq [Fe/H]_{\odot}$, possibly evidence for lithium production.

astro-ph.SR↗

The YREC Stellar Evolution Code: Public Data Release

In this paper we present the public release of the Yale Rotating Evolution Code (YREC). YREC is a stellar evolution code that covers brown dwarfs and stars across a wide range of masses, and evolutionary states from the pre-MS through helium burning. We summarize the key ingredients of the code, document the code performance, and discuss its strengths and limitations. We present libraries of input files, documentation, sample use cases, and scripts. In addition to usage as a research tool, we highlight the utility of the code for educational purposes.

astro-ph.SR↗

Scintillation Bandwidth Measurements from 23 Pulsars from the AO327 Survey

A pulsar's scintillation bandwidth is inversely proportional to the scattering delay, making accurate measurements of scintillation bandwidth critical to characterize unmitigated delays in efforts to measure low-frequency gravitational waves with pulsar timing arrays. In this pilot work, we searched for a subset of known pulsars within $\sim$97% of the data taken with the PUPPI instrument for the AO327 survey with the Arecibo telescope, attempting to measure the scintillation bandwidths in the dataset by fitting to the 2D autocorrelation function of their dynamic spectra. We successfully measured 38 bandwidths from 23 pulsars (six without prior literature values), finding that: almost all of the measurements are larger than the predictions from NE2001 and YMW16 (two popular galactic models); NE2001 is more consistent with our measurements than YMW16; Gaussian fits to the bandwidth are more consistent with both electron density models than Lorentzian ones; and for the 17 pulsars with prior literature values, the measurements between various sources often vary by factors of a few. The success of Gaussian fits may be due to the use of Gaussian fits to train models in previous work. The variance of literature values over time could relate to the scaling factor used to compare measurements, but also seems consistent with time-varying interstellar medium parameters. This work can be extended to the rest of AO327 to further investigate these trends, highlighting the continuing importance of large archival datasets for projects beyond their initial conception.

astro-ph.HE↗