The <scp>picasso</scp> map-making code: application to a simulation of the QUIJOTE northern sky survey

ABSTRACT Map-making is an important step for the data analysis of cosmic microwave background (CMB) experiments. It consists converting data, which are typically a long, complex, and noisy collection measurements, into map, image observed sky. We present in this paper new map-making code named picasso (Polarization Intensity CArtographer Scanned Sky Observations), was implemented to construct intensity polarization maps from Multi Frequency Instrument (MFI) QUIJOTE (Q-U-I Joint TEnerife) CMB experiment. based on destriping algorithm, suited address specific issues ground-based observations, with technique that allows fit template function time domain, during step. This describes code, validating it simulations assessing its performance. For purpose, we produced realistic QUIJOTE-MFI survey northern sky (approximately ?20 000 deg2), analysed reconstructed picasso, using real harmonic space statistics. show that, area, able reconstruct, high fidelity, injected signal, recovering all scales ? &amp;gt; 10 TT, EE, BB. The signal error better than 0.001 per cent at 20 &amp;lt; 200. Finally, validated some methods will be applied wide-survey like detection anisotropies via cross-correlation analyses. Despite implementation could adapted other