The picasso map-making code: application to a simulation of the QUIJOTE northern sky survey
| Autor: | F Guidi, Ricardo Genova-Santos, Robert A. Watson, Simon Harper, R. B. Barreiro, J D Bilbao-Ahedo, A. Peláez-Santos, Jose Alberto Rubino-Martin, M. Ashdown |
|---|---|
| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Agencia Estatal de Investigación (España) |
| Rok vydání: | 2021 |
| Předmět: |
Physics
010308 nuclear & particles physics media_common.quotation_subject Cosmic microwave background Astrophysics::Instrumentation and Methods for Astrophysics Cosmic background radiation FOS: Physical sciences Astronomy and Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics Function (mathematics) Polarization (waves) 01 natural sciences High fidelity Space and Planetary Science Sky 0103 physical sciences Code (cryptography) Time domain Astrophysics - Instrumentation and Methods for Astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics Remote sensing media_common |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 1365-2966 0035-8711 |
| Popis: | Map-making is an important step for the data analysis of cosmic microwave background (CMB) experiments. It consists of converting the data, which are typically a long, complex, and noisy collection of measurements, into a map, which is an image of the observed sky. We present in this paper a new map-making code named PICASSO (Polarization and Intensity CArtographer for Scanned Sky Observations), which was implemented to construct intensity and polarization maps from the Multi Frequency Instrument (MFI) of the QUIJOTE (Q-U-I Joint TEnerife) CMB polarization experiment. PICASSO is based on the destriping algorithm, and is suited to address specific issues of ground-based microwave observations, with a technique that allows the fit of a template function in the time domain, during the map-making step. This paper describes the PICASSO code, validating it with simulations and assessing its performance. For this purpose, we produced realistic simulations of the QUIJOTE-MFI survey of the northern sky (approximately ∼20 000 deg2), and analysed the reconstructed maps with PICASSO, using real and harmonic space statistics. We show that, for this sky area, PICASSO is able to reconstruct, with high fidelity, the injected signal, recovering all the scales with ℓ > 10 in TT, EE, and BB. The signal error is better than 0.001 per cent at 20 < ℓ < 200. Finally, we validated some of the methods that will be applied to the real wide-survey data, like the detection of the CMB anisotropies via cross-correlation analyses. Despite that the implementation of PICASSO is specific for QUIJOTE-MFI data, it could be adapted to other experiments. Partial financial support is provided by the Spanish Ministry of Science, Innovation and Universities under the projects AYA2007-68058-C03-01, AYA2010-21766-C03-02, AYA2014-60438-P, AYA2017-84185-P, IACA13-3E-2336, IACA15-BE-3707, EQC2018-004918-P, the Severo Ochoa Program SEV-2015-0548, and also by the Consolider-Ingenio project CSD2010-00064 (EPI: Exploring the Physics of Inflation). This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement number 687312 (RADIOFOREGROUNDS). RBB and JDBA acknowledge the Spanish Agencia Estatal de Investigación (AEI, MICIU) for the financial support provided under the projects with references PID2019-110610RB-C21, ESP2017-83921-C2-1-R, and AYA2017-90675-REDC, co-funded with EU FEDER funds, and also acknowledge the funding from Unidad de Excelencia María de Maeztu (MDM-2017-0765). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|