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M. Wells

8 papers hereh-index 674 citations14 works total

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

author position
  • first author3
  • middle author2
  • last author1

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM3
  • astro-ph.GA2
  • astro-ph.SR2
  • cs.NE1
same name
  • M. Wells — 34 papers, h 41
  • M. Wells — 15 papers, h 19
  • M. Wells — 10 papers, h 3
  • M. Wells — 4 papers, h 23
  • M. Wells — 1 paper, h 2
  • M. Wells — 1 paper, h 0

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
20172024
most citedSEDIGISM-ATLASGAL: Dense Gas Fraction and Star Formation Efficiency Across the Galactic Disk

35 citations · 79 across the 8 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

3 papers · 1 filter

astro-ph.IM2024

Automated eccentricity measurement from raw eclipsing binary light curves with intrinsic variability

Luc W. IJspeert, Andrew Tkachenko, Cole Johnston +3

Abstract abridged. Eclipsing binary systems provide the opportunity to measure the fundamental parameters of their component stars in a stellar-model-independent way. This makes th…

astro-ph.IM2019★ 7 cited

Finding the Needle in a Haystack: Detrending Photometric Timeseries Data of Strictly Periodic Astrophysical Objects

Andrej Prsa, Moses Zhang, Mark Wells

Light curves of astrophysical objects frequently contain strictly periodic signals. In those cases we can use that property to aid the detrending algorithm to fully disentangle an…

astro-ph.IM2017★ 6 cited

Initial Estimates on the Performance of the LSST on the Detection of Eclipsing Binaries

Mark Wells, Andrej Prša, Lynne Jones +1

In this work we quantify the performance of LSST on the detection of eclipsing binaries. We use Kepler observed binaries to create a large sample of simulated pseudo-LSST bin…

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