Metadata-Version: 2.1
Name: nirdust
Version: 0.0.1
Summary: Measure temperature of hot dust in type 2 AGN
Home-page: https://github.com/Gaiana/nirdust
Author: ['Gaia Gaspar', 'Jose Alacoria']
Author-email: gaiagaspar@gmail.com
License: MIT
Description: [![Build Status](https://travis-ci.com/Gaiana/nirdust.svg?branch=main)](https://travis-ci.com/Gaiana/nirdust)
        [![https://github.com/leliel12/diseno_sci_sfw](https://img.shields.io/badge/DiSoftCompCi-FAMAF-ffda00)](https://github.com/leliel12/diseno_sci_sfw)
        [![Documentation Status](https://readthedocs.org/projects/nirdust/badge/?version=latest)](https://nirdust.readthedocs.io/en/latest/?badge=latest)
        
        # Nirdust: Near Infrared Dust Finder
        
        Nirdust is a python package that uses K-band (2.2 micrometers) spectra to 
        measure the temperature of the dust heated by an Active Galactic Nuclei (AGN) 
        accretion disk. 
        
        
        ## Motivation:
        
        K-band nuclear spectral continuum of Type 2 AGNs is often composed of two 
        components: the stellar population emission and a hot 800 - 1600 K dust component.
        Via subtraction of the stellar emission dust component fitting can be performed
        to map its presence and estimate its temperature.
        
        
        ## Features
        
        The package uses the modeling features of astropy to fit the hot dust component 
        of a AGN K-band spectrum with black body functions. And provide a class with
        methods for spectrum manipulation and normalized-blackbody-fitting. Because 
        Nirdust normalizes the spectra before fitting, is not necessary to 
        flux-calibrate spectra to use it. 
        
        Nirdust needs a minimum of two spectra to run: a nuclear one, where the dust 
        temperature will be determined, and an off-nuclear spectrum, where the emission 
        is considered to be purely stellar. The off-nuclear spectrum will be used by
        Nirdust to subtract the stellar emission from the nuclear spectrum. 
        
        
        
        
        Footnote: the hot dust component may or may not be present in your type 2 
        nuclei, do not get disappointed if Nirdust finds nothing.
        
        
        ## Requeriments
        
        You will need Python 3.8 or 3.9 to run Nirdust.
        
        ## Installation
        
        Clone this repo and then inside the local directory execute
        
        ``` python
        $ pip install -e .
        ```
        
        Authors: Gaia Gaspar, José Alacoria.
        
        
        
        
Keywords: nirdust,dust,AGN,NIR,temperatures
Platform: UNKNOWN
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
