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researcher

A. Murphy

10 papers hereh-index 16704 citations100 works total

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

author position
  • middle author6
  • last author2

Across the 8 of 10 papers where every author was matched, so the position is known.

fields
  • astro-ph.SR3
  • astro-ph.HE2
  • physics.ins-det2
  • astro-ph1
  • astro-ph.CO1
  • nucl-th1
same name
  • A. Murphy — 30 papers, h 28
  • A. Murphy — 29 papers, h 33
  • A. Murphy — 26 papers, h 25
  • A. Murphy — 16 papers, h 16
  • A. Murphy — 7 papers, h 36
  • A. Murphy — 7 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
20052021
most citedThe 7Be(d,p)2alpha cross section at Big Bang energies and the primordial 7Li abundance

87 citations · 205 across the 9 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

astro-ph.SR2018★ 3 cited

The s-process nucleosynthesis in low mass stars: impact of the uncertainties in the nuclear physics determined by Monte Carlo variations

G. Cescutti, R. Hirschi, N. Nishimura +4

We investigated the impact of uncertainties in neutron-capture and weak reactions (on heavy elements) on the s-process nucleosynthesis in low-mass stars using a Monte-Carlo based a…

astro-ph.HE2018★ 1 cited

Uncertainties in the production of p nuclides in SN Ia determined by Monte Carlo variations

T. Rauscher, N. Nishimura, R. Hirschi +3

Several thousand tracers from a 2D model of a thermonuclear supernova were used in a Monte Carlo post-processing approach to determine p-nuclide abundance uncertainties originating…

astro-ph.SR2018

Impacts of nuclear-physics uncertainties in the s-process determined by Monte-Carlo variations

N. Nishimura, G. Cescutti, R. Hirschi +3

The s-process, a production mechanism based on slow-neutron capture during stellar evolution, is the origin of about half the elements heavier than iron. Abundance predictions for…

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