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researcher

J. Moss

3 papers hereh-index 339 citations8 works total

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

author position
  • middle author2
  • last author1

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

fields
  • astro-ph.CO2
  • astro-ph.GA1
same name
  • J. Moss — 21 papers, h 70
  • J. Moss — 9 papers, h 37
  • J. Moss — 4 papers
  • J. Moss — 3 papers
  • J. Moss — 2 papers, h 6
  • J. Moss — 2 papers

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
20192022
most citedQSO photometric redshifts using machine learning and neural networks

21 citations · 25 across the 2 of their papers we have counts for

collaborators

3 papers

astro-ph.CO2022★ 4 cited

Redshifts of radio sources in the Million Quasars Catalogue from machine learning

S. J. Curran, J. P. Moss, Y. C. Perrott

With the aim of using machine learning techniques to obtain photometric redshifts based upon a source's radio spectrum alone, we have extracted the radio sources from the Million Q…

astro-ph.CO2021★ 21 cited

QSO photometric redshifts using machine learning and neural networks

S. J. Curran, J. P. Moss, Y. C. Perrott

The scientific value of the next generation of large continuum surveys would be greatly increased if the redshifts of the newly detected sources could be rapidly and reliably estim…

astro-ph.GA2019

QSO redshift estimates from optical, near-infrared and ultraviolet colours

S. J. Curran, J. P. Moss

A simple estimate of the photometric redshift would prove invaluable to forthcoming continuum surveys on the next generation of large radio telescopes, as well as mitigating the ex…

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