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The DECADE cosmic shear project III: validation of analysis pipeline using spatially inhomogeneous data

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Anbajagane, D., Chang, C., Chicoine, N., Secco, L. F., Tan, C. Y., Ferguson, P. S., Drlica-Wagner, A., Herron, K., Adamow, M., Gruendl, R. A., Becker, M. R., Teixeira, R., Zhang, Z., Alarcon, A., Suson, D., Alsina, A. N., Amon, A., Andrade-Oliveira, F., Blazek, J., Camacho, H., Carballo-Bello, J. A., Cerny, W., Choi, Y., Doux, C., Gatti, M., Gruen, D., James, D. J., Krause, E., Kuropatkin, N., Martínez-Vázquez, C. E., Massana, P., Mau, S., McCullough, J., Medina, G. E., Mutlu-Pakdil, B., Navabi, M., Noël, N. E. D., Pace, A. B., Porredon, A., Raveri, M., Riley, A. H., Sakowska, J. D., Samuroff, S., Sanchez-Cid, D., Sand, D. J., Santana-Silva, L., Soares-Santos, M., Stringfellow, G. S., To, C., Vivas, A. K., Yamamoto, M., Zenteno, A., Zuntz, J.
Formato:	Preprint
Publicado:	2025
Materias:	Cosmology and Nongalactic Astrophysics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

_version_	1866909865421570048
author	Anbajagane, D. Chang, C. Chicoine, N. Secco, L. F. Tan, C. Y. Ferguson, P. S. Drlica-Wagner, A. Herron, K. Adamow, M. Gruendl, R. A. Becker, M. R. Teixeira, R. Zhang, Z. Alarcon, A. Suson, D. Alsina, A. N. Amon, A. Andrade-Oliveira, F. Blazek, J. Camacho, H. Carballo-Bello, J. A. Cerny, W. Choi, Y. Doux, C. Gatti, M. Gruen, D. James, D. J. Krause, E. Kuropatkin, N. Martínez-Vázquez, C. E. Massana, P. Mau, S. McCullough, J. Medina, G. E. Mutlu-Pakdil, B. Navabi, M. Noël, N. E. D. Pace, A. B. Porredon, A. Raveri, M. Riley, A. H. Sakowska, J. D. Samuroff, S. Sanchez-Cid, D. Sand, D. J. Santana-Silva, L. Soares-Santos, M. Stringfellow, G. S. To, C. Vivas, A. K. Yamamoto, M. Zenteno, A. Zuntz, J.
author_facet	Anbajagane, D. Chang, C. Chicoine, N. Secco, L. F. Tan, C. Y. Ferguson, P. S. Drlica-Wagner, A. Herron, K. Adamow, M. Gruendl, R. A. Becker, M. R. Teixeira, R. Zhang, Z. Alarcon, A. Suson, D. Alsina, A. N. Amon, A. Andrade-Oliveira, F. Blazek, J. Camacho, H. Carballo-Bello, J. A. Cerny, W. Choi, Y. Doux, C. Gatti, M. Gruen, D. James, D. J. Krause, E. Kuropatkin, N. Martínez-Vázquez, C. E. Massana, P. Mau, S. McCullough, J. Medina, G. E. Mutlu-Pakdil, B. Navabi, M. Noël, N. E. D. Pace, A. B. Porredon, A. Raveri, M. Riley, A. H. Sakowska, J. D. Samuroff, S. Sanchez-Cid, D. Sand, D. J. Santana-Silva, L. Soares-Santos, M. Stringfellow, G. S. To, C. Vivas, A. K. Yamamoto, M. Zenteno, A. Zuntz, J.
contents	We present the pipeline for the cosmic shear analysis of the Dark Energy Camera All Data Everywhere (DECADE) weak lensing dataset: a catalog consisting of 107 million galaxies observed by the Dark Energy Camera (DECam) in the northern Galactic cap. The catalog derives from a large number of disparate observing programs and is therefore more inhomogeneous across the sky compared to existing lensing surveys. First, we use simulated data-vectors to show the sensitivity of our constraints to different analysis choices in our inference pipeline, including sensitivity to residual systematics. Next we use simulations to validate our covariance modeling for inhomogeneous datasets. Finally, we show that our choices in the end-to-end cosmic shear pipeline are robust against inhomogeneities in the survey, by extracting relative shifts in the cosmology constraints across different subsets of the footprint/catalog and showing they are all consistent within $1σ$ to $2σ$. This is done for forty-six subsets of the data and is carried out in a fully consistent manner: for each subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey transfer functions, the data vector, measurement covariance, and finally, the cosmological constraints. Our results show that existing analysis methods for weak lensing cosmology can be fairly resilient towards inhomogeneous datasets. This also motivates exploring a wider range of image data for pursuing such cosmological constraints.
format	Preprint
id	arxiv_https___arxiv_org_abs_2502_17676
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	The DECADE cosmic shear project III: validation of analysis pipeline using spatially inhomogeneous data Anbajagane, D. Chang, C. Chicoine, N. Secco, L. F. Tan, C. Y. Ferguson, P. S. Drlica-Wagner, A. Herron, K. Adamow, M. Gruendl, R. A. Becker, M. R. Teixeira, R. Zhang, Z. Alarcon, A. Suson, D. Alsina, A. N. Amon, A. Andrade-Oliveira, F. Blazek, J. Camacho, H. Carballo-Bello, J. A. Cerny, W. Choi, Y. Doux, C. Gatti, M. Gruen, D. James, D. J. Krause, E. Kuropatkin, N. Martínez-Vázquez, C. E. Massana, P. Mau, S. McCullough, J. Medina, G. E. Mutlu-Pakdil, B. Navabi, M. Noël, N. E. D. Pace, A. B. Porredon, A. Raveri, M. Riley, A. H. Sakowska, J. D. Samuroff, S. Sanchez-Cid, D. Sand, D. J. Santana-Silva, L. Soares-Santos, M. Stringfellow, G. S. To, C. Vivas, A. K. Yamamoto, M. Zenteno, A. Zuntz, J. Cosmology and Nongalactic Astrophysics We present the pipeline for the cosmic shear analysis of the Dark Energy Camera All Data Everywhere (DECADE) weak lensing dataset: a catalog consisting of 107 million galaxies observed by the Dark Energy Camera (DECam) in the northern Galactic cap. The catalog derives from a large number of disparate observing programs and is therefore more inhomogeneous across the sky compared to existing lensing surveys. First, we use simulated data-vectors to show the sensitivity of our constraints to different analysis choices in our inference pipeline, including sensitivity to residual systematics. Next we use simulations to validate our covariance modeling for inhomogeneous datasets. Finally, we show that our choices in the end-to-end cosmic shear pipeline are robust against inhomogeneities in the survey, by extracting relative shifts in the cosmology constraints across different subsets of the footprint/catalog and showing they are all consistent within $1σ$ to $2σ$. This is done for forty-six subsets of the data and is carried out in a fully consistent manner: for each subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey transfer functions, the data vector, measurement covariance, and finally, the cosmological constraints. Our results show that existing analysis methods for weak lensing cosmology can be fairly resilient towards inhomogeneous datasets. This also motivates exploring a wider range of image data for pursuing such cosmological constraints.
title	The DECADE cosmic shear project III: validation of analysis pipeline using spatially inhomogeneous data
topic	Cosmology and Nongalactic Astrophysics
url	https://arxiv.org/abs/2502.17676