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Metadata for Sensitivity of He Flames in X-ray Bursts to Nuclear Physics

Authors: Chen, Zhi; Zingale, Michael; Eiden, Kiran;

Metadata for Sensitivity of He Flames in X-ray Bursts to Nuclear Physics

Abstract

Metadata, input files, scripts, and jupyter notebook used for the 2D X-ray burst described in paper: "Sensitivity of He Flame in X-ray Burst to Nuclear Physics". The job_info files contain the git hashes of all software used as well as the compiler versions and flags. All *front.dat contains data to generate the flame frot position vs time plot. This data can be generated using the Castro/Exec/science/flame_wave/analysis/front_tracker.py in https://github.com/AMReX-Astro/Castro. All *density.dat files contain the data for density-weighted temperature and nuclear energy generation rate plot. These data can be obtained by using the function: get_weighted_profile(), in the xrb_paper.ipynb. All *cpu.txt files contain the data to generate the number of CPU hours per simulation time plot. These data can be obtained using get_cpu_time.py. All *sum.dat files contain the data for the total mass of C12, O16, Ne20, Mg24, Si28, and S32 over time. These data can be obtained by using amrex/Tools/Plotfile/fvolumesum.cpp in https://github.com/AMReX-Codes/amrex/blob/development/Tools/Plotfile/fvolumesum.cpp.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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