SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1

Adari, Prakruth; von der Linden, Anja; Zhang, Tianqing; Combet, Céline; Englert, Anthony; Fu, Shenming; Lorenzo Martinez, Narei; Plazas Malagón, Andrés A.

doi:10.71929/rubin/2571157

Title: SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1

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Abstract

We cover the source selection done for the Abell 360 LSSTComCam cluster study focusing on color and photo-z cuts. Identification of cluster members via the red sequence and photo-z offers a science focused validation of photometry with LSSTComCam. We are able to cross-match with DESI spectroscopic redshifts to offer an independent validation suite on photo-z estimates. We make various color and photo-z cuts to generate N(z)s and shear profiles. We find that both cuts are quite robust to various choices made and can produce a shear profile for Abell 360. Both methods should be applicable to generating a consistent mass estimate for the cluster.

Authors:

;

Department of Physics and Astronomy, Stony Brook University
Department of Physics and Astronomy, University of Pittsburgh
Université Grenoble Alpes, CNRS/IN2P3, LPSC
Department of Physics, Brown University
Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory
Université Savoie Mont-Blanc, CNRS/IN2P3, LAPP
SLAC National Accelerator Laboratory; Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory

Publication Date:: Wed Jun 25 00:00:00 EDT 2025

Other Number(s):: Vera C. Rubin Observatory Commissioning Technical Note SITCOMTN-163

DOE Contract Number:: AC02-76SF00515

Research Org.:: NSF-DOE Vera C. Rubin Observatory

Sponsoring Org.:: U.S. National Science Foundation; U.S. Department of Energy Office of Science

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

OSTI Identifier:: 2571157

DOI:: https://doi.org/10.71929/rubin/2571157

Citation Formats


                    Adari, Prakruth, von der Linden, Anja, Zhang, Tianqing, Combet, Céline, Englert, Anthony, Fu, Shenming, Lorenzo Martinez, Narei, and Plazas Malagón, Andrés A. SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1.  United States: N. p., 2025. 
        Web.  doi:10.71929/rubin/2571157.

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                    Adari, Prakruth, von der Linden, Anja, Zhang, Tianqing, Combet, Céline, Englert, Anthony, Fu, Shenming, Lorenzo Martinez, Narei, & Plazas Malagón, Andrés A. SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1.  United States.  doi:https://doi.org/10.71929/rubin/2571157

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                    Adari, Prakruth, von der Linden, Anja, Zhang, Tianqing, Combet, Céline, Englert, Anthony, Fu, Shenming, Lorenzo Martinez, Narei, and Plazas Malagón, Andrés A. 2025.  
"SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1".  United States.  doi:https://doi.org/10.71929/rubin/2571157.  https://www.osti.gov/servlets/purl/2571157. Pub date:Wed Jun 25 00:00:00 EDT 2025

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@article{osti_2571157,

  title        = {SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1},

  author       = {Adari, Prakruth and von der Linden, Anja and Zhang, Tianqing and Combet, Céline and Englert, Anthony and Fu, Shenming and Lorenzo Martinez, Narei and Plazas Malagón, Andrés A.},

  abstractNote = {We cover the source selection done for the Abell 360 LSSTComCam cluster study focusing on color and photo-z cuts. Identification of cluster members via the red sequence and photo-z offers a science focused validation of photometry with LSSTComCam. We are able to cross-match with DESI spectroscopic redshifts to offer an independent validation suite on photo-z estimates. We make various color and photo-z cuts to generate N(z)s and shear profiles. We find that both cuts are quite robust to various choices made and can produce a shear profile for Abell 360. Both methods should be applicable to generating a consistent mass estimate for the cluster.},

  doi          = {10.71929/rubin/2571157},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jun 25 00:00:00 EDT 2025},

  month        = {Wed Jun 25 00:00:00 EDT 2025}

}

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DOI: https://doi.org/10.71929/rubin/2571157

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