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Using arxiv API to analysis neural network paper in astro-ph

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astro-ph-ml-topics

Using arxiv API to analysis neural network paper in astro-ph

Basic Information

  • Number of total astro-ph papers from arxiv API 2010 - 2018: 234975
  • The ratio of neural net or machine learning papers in astro-ph: 0.00258
  • How many of them are about galaxy: 0.224

The Growing Trend of Neural Net and Machine Learning Papers in Astro-ph

time

Most Mentioned Categories in Astro-ph (limited to neural net and machine learning related papers)

category

N-Grams in Astro-ph (limited to neural net and machine learning related papers)

  • 1 grams

1grams

  • 2 grams

2grams

  • 3 grams: This one is surprising. Number of CNN count is comparable to the number count of neural network. It may imply most of neural network application in astronomy is using CNN.

3grams

Topic Modeling on Astro-ph's Abstracts

A naive with maximum 15 topics,

  • (Stars) Topic 0 : stars, star, mass, stellar, planet, planets, neutron, binary, systems, evolution, massive, planetary, solar, masses, type
  • (Supernovae) Topic 1 : radio, sources, 10, source, sim, emission, observations, flux, events, sn, detected, galactic, supernova, detection, times
  • (Balck Hole) Topic 2 : ray, black, hole, jet, emission, kev, agn, accretion, luminosity, pulsar, holes, source, variability, spectral, flux
  • (Dark Matter) Topic 3 : matter, dark, cosmological, energy, universe, gravitational, model, gravity, scalar, equation, lensing, models, lambda, theory, density
  • (?) Topic 4 : solar, results, non, time, neutrino, method, signal, effects, order, simulations, using, different, new, noise, study
  • (Data Analysis) Topic 5 : data, model, models, parameters, spectrum, power, parameter, using, analysis, measurements, scale, temperature, constraints, cmb, observations
  • (Star Formation) Topic 6 : gas, disk, dust, formation, star, molecular, regions, region, cloud, disks, polarization, emission, structure, observations, interstellar
  • (Spectroscopic) Topic 7 : line, emission, lines, spectra, alpha, absorption, fe, high, abundance, clouds, abundances, ii, observed, hi, cm
  • (Galaxy) Topic 8 : galaxies, galaxy, cluster, clusters, formation, star, mass, redshift, stellar, luminosity, sample, population, evolution, ngc, 10
  • (Gamma Ray) Topic 9 : energy, gamma, ray, particles, shock, high, thermal, cosmic, rays, emission, plasma, radiation, particle, electron, model
  • (?) Topic 10 : field, magnetic, fields, rm, scale, pm, inflation, large, flux, non, small, structure, strong, scales, evolution
  • (AGN?) Topic 11 : velocity, accretion, al, et, disc, radial, rotation, km, rate, flow, wind, rates, velocities, core, angular
  • (Survey) Topic 12 : data, survey, optical, light, infrared, telescope, band, sample, using, present, observations, new, photometric, objects, imaging
  • (?) Topic 13 : mass, density, distribution, halo, function, simulations, surface, size, model, body, profile, correlation, profiles, radius, observed
  • (?) Topic 14 : period, dwarf, phase, spin, mode, orbital, mu, white, dwarfs, frequency, time, short, modes, amplitude, long

Number of Submissions based on Dates

Inspired by https://academia.stackexchange.com/questions/50140/is-there-a-correlation-between-submission-date-on-arxiv-and-citations

  • Count of monthly arxiv submission arxiv_monthly
  • Count of monthly astro-ph submission astro-ph_monthly
  • Comparison : they fit! arxiv_astro-ph_monthly
    • Oct is the most productive month, I wonder why ...
  • Astro-ph days in a month : astro-ph_daysinmonth
    • not every months have 31s, so it's reasonable.
  • Astro-ph days in a week : astro-ph_daysinweek
    • Seems to be quite uniform for me. Except not so many submissions in the weekends. Probably due to some arxiv's submission rules.

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