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    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

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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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Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images. / Martin, G; Bazkiaei, A E; Iodice, M Spavone E et al.
In: Monthly Notices of the Royal Astronomical Society, Vol. 513, No. 1, 01.06.2022, p. 1459-1487.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Martin, G, Bazkiaei, AE, Iodice, MSE, Mihos, JC, Montes, M, Benavides, JA, Brough, S, Carlin, JL, Collins, CA, Duc, PA, Gómez, FA, Galaz, G, Hernández-Toledo, HM, Jackson, RA, Kaviraj, S, Knapen, JH, Martínez-Lombilla, C, McGee, S, O’Ryan, D, Prole, DJ, Rich, RM, Román, J, Shah, EA, Starkenburg, TK, Watkins, AE, Zaritsky, D, Pichon, C, Armus, L, Bianconi, M, Buitrago, F, Busá, I, Davis, F, Demarco, R, Desmons, A, García, P, Graham, AW, Holwerda, B, Hon, DS-H, Khalid, A, Klehammer, J, Klutse, DY, Lazar, I, Nair, P, Noakes-Kettel, EA, Rutkowski, M, Saha, K, Sahu, N, Sola, E, Vázquez-Mata, JA, Vera-Casanova, A & Yoon, I 2022, '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, vol. 513, no. 1, pp. 1459-1487. https://doi.org/10.1093/mnras/stac1003

APA

Martin, G., Bazkiaei, A. E., Iodice, M. S. E., Mihos, J. C., Montes, M., Benavides, J. A., Brough, S., Carlin, J. L., Collins, C. A., Duc, P. A., Gómez, F. A., Galaz, G., Hernández-Toledo, H. M., Jackson, R. A., Kaviraj, S., Knapen, J. H., Martínez-Lombilla, C., McGee, S., O’Ryan, D., ... Yoon, I. (2022). 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, 513(1), 1459-1487. https://doi.org/10.1093/mnras/stac1003

Vancouver

Martin G, Bazkiaei AE, Iodice MSE, Mihos JC, Montes M, Benavides JA 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. 2022 Jun 1;513(1):1459-1487. Epub 2022 Apr 11. doi: 10.1093/mnras/stac1003

Author

Martin, G ; Bazkiaei, A E ; Iodice, M Spavone E et al. / Preparing for low surface brightness science with the Vera C. Rubin Observatory : Characterization of tidal features from mock images. In: Monthly Notices of the Royal Astronomical Society. 2022 ; Vol. 513, No. 1. pp. 1459-1487.

Bibtex

@article{fa3da862aca148078c7da0455a2ca489,
title = "Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images",
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).",
keywords = "Space and Planetary Science, Astronomy and Astrophysics",
author = "G Martin and Bazkiaei, {A E} and Iodice, {M Spavone E} and Mihos, {J C} and M Montes and Benavides, {J A} and S Brough and Carlin, {J L} and Collins, {C A} and Duc, {P A} and G{\'o}mez, {F A} and G Galaz and Hern{\'a}ndez-Toledo, {H M} and Jackson, {R A} and S Kaviraj and Knapen, {J H} and C Mart{\'i}nez-Lombilla and S McGee and D O{\textquoteright}Ryan and Prole, {D J} and Rich, {R M} and J Rom{\'a}n and Shah, {E A} and Starkenburg, {T K} and Watkins, {A E} and D Zaritsky and C Pichon and L Armus and M Bianconi and F Buitrago and I Bus{\'a} and F Davis and R Demarco and A Desmons and P Garc{\'i}a and Graham, {A W} and B Holwerda and Hon, {D S-H} and A Khalid and J Klehammer and Klutse, {D Y} and I Lazar and P Nair and Noakes-Kettel, {E A} and M Rutkowski and K Saha and N Sahu and E Sola and V{\'a}zquez-Mata, {J A} and A Vera-Casanova and I Yoon",
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",
year = "2022",
month = jun,
day = "1",
doi = "10.1093/mnras/stac1003",
language = "English",
volume = "513",
pages = "1459--1487",
journal = "Monthly Notices of the Royal Astronomical Society",
issn = "0035-8711",
publisher = "OXFORD UNIV PRESS",
number = "1",

}

RIS

TY - JOUR

T1 - Preparing for low surface brightness science with the Vera C. Rubin Observatory

T2 - Characterization of tidal features from mock images

AU - Martin, G

AU - Bazkiaei, A E

AU - Iodice, M Spavone E

AU - Mihos, J C

AU - Montes, M

AU - Benavides, J A

AU - Brough, S

AU - Carlin, J L

AU - Collins, C A

AU - Duc, P A

AU - Gómez, F A

AU - Galaz, G

AU - Hernández-Toledo, H M

AU - Jackson, R A

AU - Kaviraj, S

AU - Knapen, J H

AU - Martínez-Lombilla, C

AU - McGee, S

AU - O’Ryan, D

AU - Prole, D J

AU - Rich, R M

AU - Román, J

AU - Shah, E A

AU - Starkenburg, T K

AU - Watkins, A E

AU - Zaritsky, D

AU - Pichon, C

AU - Armus, L

AU - Bianconi, M

AU - Buitrago, F

AU - Busá, I

AU - Davis, F

AU - Demarco, R

AU - Desmons, A

AU - García, P

AU - Graham, A W

AU - Holwerda, B

AU - Hon, D S-H

AU - Khalid, A

AU - Klehammer, J

AU - Klutse, D Y

AU - Lazar, I

AU - Nair, P

AU - Noakes-Kettel, E A

AU - Rutkowski, M

AU - Saha, K

AU - Sahu, N

AU - Sola, E

AU - Vázquez-Mata, J A

AU - Vera-Casanova, A

AU - Yoon, I

N1 - 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

PY - 2022/6/1

Y1 - 2022/6/1

N2 - 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).

AB - 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).

KW - Space and Planetary Science

KW - Astronomy and Astrophysics

U2 - 10.1093/mnras/stac1003

DO - 10.1093/mnras/stac1003

M3 - Journal article

VL - 513

SP - 1459

EP - 1487

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

IS - 1

ER -