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Classical extinction (scattering+absorption) via Transmission Matrix formalism

Spatial types for PosgreSQL [mirror]

Python version of Starfinder

GUIBRUSHR (Graphic User Interface for Bayesian Retrieval Using Spectroscopy at High Resolution) is a comprehensive tool designed to characterize exoplanet atmospheres using spectroscopic datasets at high and low resolution. The main purpose is to provide an easy and documented graphical interface that helps the user keep an easy track of the datasets, tests, atmospheric retrievals, etc., used during their analysis.

Create headers compliant with the NOCTIS standard

LSST INAF AGILE

Repository: https://www.ict.inaf.it/gitlab/akke.viitanen/lsst_inaf_agile

Webpage: https://www.oa-roma.inaf.it/lsst-agn/

Documentation: http://lsst-inaf-agile-2e2eed.pages.ict.inaf.it/index.html

Material (slides, notebooks, etc.) for the Time Domain Astrophysics course delivered at the Università dell'Insubria.

Tool to perform Data Reduction of GIANOB datasets

A parallel MPI+OpenMP implementation of the Unsupervised Machine Learning algorithm ADP (https://www.sciencedirect.com/science/article/pii/S0020025521000116) for data clustering.

Starfinder is an IDL code for the deep analysis of stellar fields, designed for Adaptive Optics well-sampled images, characterized by a complex and highly structured Point Spread Function.