Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators

Fuente: arXiv
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Autori principali: Pinon, M., de Mattia, A., McDonald, P., Burtin, E., Ruhlmann-Kleider, V., White, M., Bianchi, D., Ross, A. J., Aguilar, J., Ahlen, S., Brooks, D., Cahn, R. N., Chaussidon, E., Claybaugh, T., Cole, S., de la Macorra, A., Dey, B., Doel, P., Fanning, K., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Howlett, C., Kirkby, D., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Lasker, J., Guillou, L. Le, Levi, M. E., Manera, M., Martini, P., Meisner, A., Miquel, R., Moustakas, J., Myers, A. D., Niz, G., Palanque-Delabrouille, N., Percival, W. J., Poppett, C., Rossi, G., Sanchez, E., Schlegel, D., Schubnell, M., Seo, H., Sprayberry, D., Tarlé, G., Vargas-Magaña, M., Weaver, B. A., Zarrouk, P., Zhou, R., Zou, H.
Natura: Preprint
Pubblicazione: 2024
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author Pinon, M.
de Mattia, A.
McDonald, P.
Burtin, E.
Ruhlmann-Kleider, V.
White, M.
Bianchi, D.
Ross, A. J.
Aguilar, J.
Ahlen, S.
Brooks, D.
Cahn, R. N.
Chaussidon, E.
Claybaugh, T.
Cole, S.
de la Macorra, A.
Dey, B.
Doel, P.
Fanning, K.
Forero-Romero, J. E.
Gaztañaga, E.
Gontcho, S. Gontcho A
Howlett, C.
Kirkby, D.
Kisner, T.
Kremin, A.
Lambert, A.
Landriau, M.
Lasker, J.
Guillou, L. Le
Levi, M. E.
Manera, M.
Martini, P.
Meisner, A.
Miquel, R.
Moustakas, J.
Myers, A. D.
Niz, G.
Palanque-Delabrouille, N.
Percival, W. J.
Poppett, C.
Rossi, G.
Sanchez, E.
Schlegel, D.
Schubnell, M.
Seo, H.
Sprayberry, D.
Tarlé, G.
Vargas-Magaña, M.
Weaver, B. A.
Zarrouk, P.
Zhou, R.
Zou, H.
author_facet Pinon, M.
de Mattia, A.
McDonald, P.
Burtin, E.
Ruhlmann-Kleider, V.
White, M.
Bianchi, D.
Ross, A. J.
Aguilar, J.
Ahlen, S.
Brooks, D.
Cahn, R. N.
Chaussidon, E.
Claybaugh, T.
Cole, S.
de la Macorra, A.
Dey, B.
Doel, P.
Fanning, K.
Forero-Romero, J. E.
Gaztañaga, E.
Gontcho, S. Gontcho A
Howlett, C.
Kirkby, D.
Kisner, T.
Kremin, A.
Lambert, A.
Landriau, M.
Lasker, J.
Guillou, L. Le
Levi, M. E.
Manera, M.
Martini, P.
Meisner, A.
Miquel, R.
Moustakas, J.
Myers, A. D.
Niz, G.
Palanque-Delabrouille, N.
Percival, W. J.
Poppett, C.
Rossi, G.
Sanchez, E.
Schlegel, D.
Schubnell, M.
Seo, H.
Sprayberry, D.
Tarlé, G.
Vargas-Magaña, M.
Weaver, B. A.
Zarrouk, P.
Zhou, R.
Zou, H.
contents We present a method to mitigate the effects of fiber assignment incompleteness in two-point power spectrum and correlation function measurements from galaxy spectroscopic surveys, by truncating small angular scales from estimators. We derive the corresponding modified correlation function and power spectrum windows to account for the small angular scale truncation in the theory prediction. We validate this approach on simulations reproducing the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) with and without fiber assignment. We show that we recover unbiased cosmological constraints using small angular scale truncated estimators from simulations with fiber assignment incompleteness, with respect to standard estimators from complete simulations. Additionally, we present an approach to remove the sensitivity of the fits to high $k$ modes in the theoretical power spectrum, by applying a transformation to the data vector and window matrix. We find that our method efficiently mitigates the effect of fiber assignment incompleteness in two-point correlation function and power spectrum measurements, at low computational cost and with little statistical loss.
format Preprint
id arxiv_https___arxiv_org_abs_2406_04804
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators
Pinon, M.
de Mattia, A.
McDonald, P.
Burtin, E.
Ruhlmann-Kleider, V.
White, M.
Bianchi, D.
Ross, A. J.
Aguilar, J.
Ahlen, S.
Brooks, D.
Cahn, R. N.
Chaussidon, E.
Claybaugh, T.
Cole, S.
de la Macorra, A.
Dey, B.
Doel, P.
Fanning, K.
Forero-Romero, J. E.
Gaztañaga, E.
Gontcho, S. Gontcho A
Howlett, C.
Kirkby, D.
Kisner, T.
Kremin, A.
Lambert, A.
Landriau, M.
Lasker, J.
Guillou, L. Le
Levi, M. E.
Manera, M.
Martini, P.
Meisner, A.
Miquel, R.
Moustakas, J.
Myers, A. D.
Niz, G.
Palanque-Delabrouille, N.
Percival, W. J.
Poppett, C.
Rossi, G.
Sanchez, E.
Schlegel, D.
Schubnell, M.
Seo, H.
Sprayberry, D.
Tarlé, G.
Vargas-Magaña, M.
Weaver, B. A.
Zarrouk, P.
Zhou, R.
Zou, H.
Cosmology and Nongalactic Astrophysics
We present a method to mitigate the effects of fiber assignment incompleteness in two-point power spectrum and correlation function measurements from galaxy spectroscopic surveys, by truncating small angular scales from estimators. We derive the corresponding modified correlation function and power spectrum windows to account for the small angular scale truncation in the theory prediction. We validate this approach on simulations reproducing the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) with and without fiber assignment. We show that we recover unbiased cosmological constraints using small angular scale truncated estimators from simulations with fiber assignment incompleteness, with respect to standard estimators from complete simulations. Additionally, we present an approach to remove the sensitivity of the fits to high $k$ modes in the theoretical power spectrum, by applying a transformation to the data vector and window matrix. We find that our method efficiently mitigates the effect of fiber assignment incompleteness in two-point correlation function and power spectrum measurements, at low computational cost and with little statistical loss.
title Mitigation of DESI fiber assignment incompleteness effect on two-point clustering with small angular scale truncated estimators
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2406.04804