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S. Gibson

3 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE2
  • astro-ph.IM1
same name
  • S. Gibson — 17 papers, h 34
  • S. Gibson — 11 papers, h 19
  • S. Gibson — 6 papers
  • S. Gibson — 4 papers, h 16
  • S. Gibson — 2 papers, h 3
  • S. Gibson — 2 papers, h 6

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

most citedPredicting the redshift of gamma-ray loud AGNs using supervised machine learning

18 citations · 36 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.IM2022

Using Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei

Spencer James Gibson, Aditya Narendra, Maria Giovanna Dainotti +5

Redshift measurement of active galactic nuclei (AGNs) remains a time-consuming and challenging task, as it requires follow up spectroscopic observations and detailed analysis. Henc…

astro-ph.HE2022★ 18 cited

Predicting the redshift of gamma-ray loud AGNs using Supervised Machine Learning: Part 2

Aditya Narendra, Spencer James Gibson, Maria Giovanna Dainotti +4

Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. However, obtaining redshift measurements of AGNs is…

astro-ph.HE2021★ 18 cited

Predicting the redshift of gamma-ray loud AGNs using supervised machine learning

Maria Giovanna Dainotti, Malgorzata Bogdan, Aditya Narendra +8

AGNs are very powerful galaxies characterized by extremely bright emissions coming out from their central massive black holes. Knowing the redshifts of AGNs provides us with an opp…

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