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[ascl:1010.041]
FASTLens (FAst STatistics for weak Lensing): Fast Method for Weak Lensing Statistics and Map Making

The analysis of weak lensing data requires to account for missing data such as masking out of bright stars. To date, the majority of lensing analyses uses the two point-statistics of the cosmic shear field. These can either be studied directly using the two-point correlation function, or in Fourier space, using the power spectrum. The two-point correlation function is unbiased by missing data but its direct calculation will soon become a burden with the exponential growth of astronomical data sets. The power spectrum is fast to estimate but a mask correction should be estimated. Other statistics can be used but these are strongly sensitive to missing data. The solution that is proposed by FASTLens is to properly fill-in the gaps with only NlogN operations, leading to a complete weak lensing mass map from which one can compute straight forwardly and with a very good accuracy any kind of statistics like power spectrum or bispectrum.

[ascl:2004.015]
IRDAP: SPHERE-IRDIS polarimetric data reduction pipeline

van Holstein, R. G.; Girard, J. H.; de Boer, J.; Snik, F.; Milli, J.; Stam, D. M.; Ginski, C.; Mouillet, D.; Wahhaj, Z.; Schmid, H. M.; Keller, C. U.; Langlois, M.; Dohlen, K.; Vigan, A.; Pohl, A.; Carbillet, M.; Fantinel, D.; Maurel, D.; Origné, A.; Petit, C. Ramos, J.; Rigal, F.; Sevin, A.; Boccaletti, A.; Le Coroller, H.; Dominik, C.; Henning, T.; Lagadec, E.; Ménard, F.; Turatto, M.; Udry, S.; Chauvin, G.; Feldt, M.; Beuzit, J. -L.

IRDAP (IRDIS Data reduction for Accurate Polarimetry) accurately reduces SPHERE-IRDIS polarimetric data. It is a highly-automated end-to-end pipeline; its core feature is model-based correction of the instrumental polarization effects. IRDAP handles data taken both in field- and pupil-tracking mode and using the broadband filters Y, J, H and Ks. Data taken with the narrowband filters can be reduced as well, although with a somewhat worse accuracy. For pupil-tracking observations IRDAP can additionally apply angular differential imaging.

[ascl:2312.020]
ProPane: Image warping and stacking utilities

Robotham, A. S. G.; Tobar, R.; Bellstedt, S.; Casura, S.; Cook, R. H. W.; D'Silva, J. C. J.; Davies, L. J.; Driver, S. P.; Li, J.; Garate-Nuñez, L. P.

The ProPane package comes with key utilities for warping between different WCS systems: propaneWarp (for warping individual frames once). ProPane also contains the various functions for creating large stacks of many warped frames (which is of class ProPane, which is roughly meant to suggest the idea of many panes of glass being stacked together). It uses the wcslib C library (ascl:1108.003) for projections (all legal ones are supported) via the Rwcs package, and uses the threaded Cimg C++ library via the imager library to do image warping. ProPane also contains functions converted from older (deprecated) Rwcs and ProFound (ascl:1804.006) related functions.