Characterization of DESI fiber assignment incompleteness effect on 2-point clustering and mitigation methods for DR1 analysis

Abstract We present an in-depth analysis of the fiber assignment incompleteness in the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1). This incompleteness is caused by the restricted mobility of the robotic fiber positioner in the DESI focal plane, which limits the number of galaxies that can be observed at the same time, especially at small angular separations. As a result, the observed clustering amplitude is suppressed in a scale-dependent manner, which, if not addressed, can severely impact the inference of cosmological parameters. We discuss the methods adopted for simulating fiber assignment on mocks and data. In particular, we introduce the fast fiber assignment (FFA) emulator, which was employed to obtain the power spectrum covariance adopted for the DR1 full-shape analysis. We present the mitigation techniques, organised in two classes: measurement stage and model stage. We then use high fidelity mocks as a reference to quantify both the accuracy of the FFA emulator and the effectiveness of the different measurement-stage mitigation techniques. This complements the studies conducted in a parallel paper for the model-stage techniques, namely the θ-cut approach. We find that pairwise inverse probability (PIP) weights with angular upweighting recover the “true” clustering in all the cases considered, in both Fourier and configuration space. Notably, we present the first ever power spectrum measurement with PIP weights from real data.

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Publication Details

Journal
Journal of Cosmology and Astroparticle Physics
Published
2025-04-01
DOI
https://doi.org/10.1088/1475-7516/2025/04/074
Citations
16
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
26.14
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article

Characterization of DESI fiber assignment incompleteness effect on 2-point clustering and mitigation methods for DR1 analysis

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16 citations
Journal of Cosmology and Astroparticle Physics
Advanced Fluorescence Microscopy Techniques
26.14
article

Characterization of DESI fiber assignment incompleteness effect on 2-point clustering and mitigation methods for DR1 analysis

D. Kirkby, Will J. Percival, S. I. Bailey, Rongpu Zhou, Michele Pinon, E. Chaussidon, S. Juneau, R. Miquel, N. Palanque‐Delabrouille, Gregory Tarlé, Andreu Font-Ribera, L. Le Guillou, David J. Schlegel, Ignasi Pérez-Ràfols, Axel de la Macorra, P. Zarrouk, Martin Landriau, Simone Ferraro, M. E. Levi, P. McDonald, J. Lasker, Anthony Kremin, J. Guy, Eusebio Sanchez, Satya Gontcho A Gontcho, Ashley J. Ross, A. Carnero Rosell, ChangHoon Hahn, A. de Mattia, Martin White, Joseph Harry Silber, Cullan Howlett, R. M. Sharples, J. E. Forero-Romero, Steven P. Ahlen, Aaron Meisner, Davide Bianchi, M. Schubnell, H. Zou, David J. Brooks, John Moustakas, M. Vargas-Magaña, A. Raichoor, S. Cole, B. A. Weaver, T. Kisner, E. Gaztañaga, M. Hanif, Klaus Honscheid, T. Claybaugh, Francisco Prada, E. Burtin, G. Gutiérrez, D. Sprayberry
article en
16 citations

Abstract

Abstract We present an in-depth analysis of the fiber assignment incompleteness in the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1). This incompleteness is caused by the restricted mobility of the robotic fiber positioner in the DESI focal plane, which limits the number of galaxies that can be observed at the same time, especially at small angular separations. As a result, the observed clustering amplitude is suppressed in a scale-dependent manner, which, if not addressed, can severely impact the inference of cosmological parameters. We discuss the methods adopted for simulating fiber assignment on mocks and data. In particular, we introduce the fast fiber assignment (FFA) emulator, which was employed to obtain the power spectrum covariance adopted for the DR1 full-shape analysis. We present the mitigation techniques, organised in two classes: measurement stage and model stage. We then use high fidelity mocks as a reference to quantify both the accuracy of the FFA emulator and the effectiveness of the different measurement-stage mitigation techniques. This complements the studies conducted in a parallel paper for the model-stage techniques, namely the θ-cut approach. We find that pairwise inverse probability (PIP) weights with angular upweighting recover the “true” clustering in all the cases considered, in both Fourier and configuration space. Notably, we present the first ever power spectrum measurement with PIP weights from real data.

Journal of Cosmology and Astroparticle PhysicsVol. 2025(04)
Boston University (US), Institució Catalana de Recerca i Estudis Avançats (ES), Fermi National Accelerator Laboratory (US), Hiroshima Shudo University (JP), High Energy Accelerator Research Organization (JP), University of Waterloo (CA), Universidad de La Laguna (ES), The University of Queensland (AU), Southern Methodist University (US), Perimeter Institute (CA), Institute for High Energy Physics (ES), University of Milan (IT), Durham University (GB), University of Michigan (US), Berkeley City College (US), Regional Municipality of Waterloo (CA), Sejong University (KR), National Solar Observatory (US), Institut d'Estudis Espacials de Catalunya (ES), Institut Català de Ciències del Clima (ES), Laboratoire de Physique Nucléaire et de Hautes Énergies (FR), Indiana Cancer Consortium (US), Centre for Theoretical Physics and Astrophysics (UZ), Michigan United (US), Unidades Centrales Científico-Técnicas (ES), UC Irvine Health (US), Mylan (Switzerland) (CH), National Astronomical Observatories (CN), Institut de Recherche sur les Lois Fondamentales de l'Univers (FR), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), State Library of Ohio (US), University College London (GB), University of Portsmouth (GB), Universidad Nacional Autónoma de México (MX), Siena College (US), Netherlands Institute for Radio Astronomy (NL), University of California, Berkeley (US), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 0%
Advanced Fluorescence Microscopy Techniques
26.14
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