Galaxy clustering in harmonic space from the dark energy survey year 1 data: compatibility with real-space results

• Autor(a) principal: Andrade-Oliveira, F. [UNESP]
• Data de Publicação: 2021
• Outros Autores: Camacho, H. [UNESP], Faga, L., Gomes, R., Rosenfeld, R. [UNESP], Troja, A. [UNESP], Alves, O. [UNESP], Doux, C., Elvin-Poole, J., Fang, X., Friedrich, O., Kokron, N., Lima, M., Miranda, V., Pandey, S., Porredon, A., Sanchez, J., Aguena, M., Allam, S., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Cawthon, R., Chang, C., Choi, A., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E.S., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Evrard, A. E., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Hinton, S. R., Hollowood, D. L., Jain, B., James, D. J., Kuropatkin, N., Lahav, O., MacCrann, N., Maia, M. A.G., March, M., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R. L.C., Palmese, A., Paz-Chinchón, F., Plazas Malagón, A. A., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1093/mnras/stab1642; http://hdl.handle.net/11449/229301
• topic: Cosmology: observations; Large-scale structure of Universe

We perform an analysis in harmonic space of the Dark Energy Survey Year 1 Data (DES-Y1) galaxy clustering photometric data using products obtained for the real-space analysis. We test our pipeline with a suite of lognormal simulations, which are used to validate scale cuts in harmonic space as well as to provide a covariance matrix that takes into account the DES-Y1 mask. We then apply this pipeline to DES-Y1 data taking into account survey property maps derived for the real-space analysis. We compare with real-space DES-Y1 results obtained from a similar pipeline. We show that the harmonic space analysis we develop yields results that are compatible with the real-space analysis for the bias parameters. This verification paves the way to performing a harmonic space analysis for the upcoming DES-Y3 data.