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  • Martin_et_al_2022-accepted-manuscript

    Rights statement: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The definitive publisher-authenticated version G Martin, A ... [et al.], Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images, Monthly Notices of the Royal Astronomical Society, Volume 513, Issue 1, June 2022, Pages 1459–1487, https://doi.org/10.1093/mnras/stac1003 is available online at: https://academic.oup.com/mnras/article-abstract/513/1/1459/6566363

    Accepted author manuscript, 6.46 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images

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  • G Martin
  • A E Bazkiaei
  • M Spavone E Iodice
  • J C Mihos
  • M Montes
  • J A Benavides
  • S Brough
  • J L Carlin
  • C A Collins
  • P A Duc
  • F A Gómez
  • G Galaz
  • H M Hernández-Toledo
  • R A Jackson
  • S Kaviraj
  • J H Knapen
  • C Martínez-Lombilla
  • S McGee
  • D J Prole
  • R M Rich
  • J Román
  • E A Shah
  • T K Starkenburg
  • A E Watkins
  • D Zaritsky
  • C Pichon
  • L Armus
  • M Bianconi
  • F Buitrago
  • I Busá
  • F Davis
  • R Demarco
  • A Desmons
  • P García
  • A W Graham
  • B Holwerda
  • D S-H Hon
  • A Khalid
  • J Klehammer
  • D Y Klutse
  • I Lazar
  • P Nair
  • E A Noakes-Kettel
  • M Rutkowski
  • K Saha
  • N Sahu
  • E Sola
  • J A Vázquez-Mata
  • A Vera-Casanova
  • I Yoon
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<mark>Journal publication date</mark>1/06/2022
<mark>Journal</mark>Monthly Notices of the Royal Astronomical Society
Issue number1
Volume513
Number of pages29
Pages (from-to)1459-1487
Publication StatusPublished
Early online date11/04/22
<mark>Original language</mark>English

Abstract

Tidal features in the outskirts of galaxies yield unique information about their past interactions and are a key prediction of the hierarchical structure formation paradigm. The Vera C. Rubin Observatory is poised to deliver deep observations for potentially millions of objects with visible tidal features, but the inference of galaxy interaction histories from such features is not straightforward. Utilizing automated techniques and human visual classification in conjunction with realistic mock images produced using the NewHorizon cosmological simulation, we investigate the nature, frequency, and visibility of tidal features and debris across a range of environments and stellar masses. In our simulated sample, around 80 per cent of the flux in the tidal features around Milky Way or greater mass galaxies is detected at the 10-yr depth of the Legacy Survey of Space and Time (30-31 mag arcsec-2), falling to 60 per cent assuming a shallower final depth of 29.5 mag arcsec-2. The fraction of total flux found in tidal features increases towards higher masses, rising to 10 per cent for the most massive objects in our sample (M* ∼1011.5 M⊙). When observed at sufficient depth, such objects frequently exhibit many distinct tidal features with complex shapes. The interpretation and characterization of such features varies significantly with image depth and object orientation, introducing significant biases in their classification. Assuming the data reduction pipeline is properly optimized, we expect the Rubin Observatory to be capable of recovering much of the flux found in the outskirts of Milky Way mass galaxies, even at intermediate redshifts (z < 0.2).

Bibliographic note

This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The definitive publisher-authenticated version G Martin, A ... [et al.], Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images, Monthly Notices of the Royal Astronomical Society, Volume 513, Issue 1, June 2022, Pages 1459–1487, https://doi.org/10.1093/mnras/stac1003 is available online at: https://academic.oup.com/mnras/article-abstract/513/1/1459/6566363