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researcher

D. Weinberg

8 papers hereh-index 54.8k citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author2

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA4
  • astro-ph2
  • astro-ph.IM1
  • astro-ph.SR1
same name
  • D. Weinberg — 343 papers, h 130
  • D. Weinberg — 16 papers, h 18
  • D. Weinberg — 13 papers, h 7
  • D. Weinberg — 6 papers, h 11
  • D. Weinberg — 3 papers, h 3
  • D. Weinberg — 3 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19982025
most citedThe Apache Point Observatory Galactic Evolution Experiment (APOGEE)

1.8k citations · 2.8k across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

astro-ph.GA2024

Many elements matter: Detailed abundance patterns reveal star-formation and enrichment differences among Milky Way structural components

Emily J. Griffith, David W. Hogg, Sten Hasselquist +5

Many nucleosynthetic channels create the elements, but two-parameter models characterized by α and Fe nonetheless predict stellar abundances in the Galactic disk to accuracies of…

astro-ph.GA2024★ 1 cited

The Milky Way Radial Metallicity Gradient as an Equilibrium Phenomenon: Why Old Stars are Metal-Rich

James W. Johnson, David H. Weinberg, Guillermo A. Blanc +12

Metallicities of both gas and stars decline toward large radii in spiral galaxies, a trend known as the radial metallicity gradient. We quantify the evolution of the metallicity gr…

astro-ph.GA2024

2-process Model and Residual Abundance Analysis of the Milky Way Massive Satellites

Sten Hasselquist, Christian R. Hayes, Emily J. Griffith +4

The ``2-process Model'' is a promising technique for interpreting stellar chemical abundance data from large-scale surveys (e.g., SDSS-IV/V, GALAH), enabling more quantitative empi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.