Welcome to AstroCabTools¶
Set of tools that analize data from JWST in Python
Current version is 0.9.3
Acknowledgment¶
This work has been partially funded by the Ministerio de Ciencia e Innovación through its program “promoción de empleo joven e implantación de la Garantía Juvenil en I+D+i 2018, PEJ2018-002877-A”, the Comunidad de Madrid through the Atracción de Talento grant 2017-T1/TIC-5213, and he Spanish State Research Agency (AEI) Project MDM-2017-0737 Unidad de Excelencia “María de Maeztu”- Centro de Astrobiología (CSIC-INTA).

Key Features¶
Integrate processing tools, algorithms, visualizationd and data analyisis of images and 3D infrarred spectroscopy for the James Webb Espacial Telescope (JWST).
Integration of JWST calibrated data and advance products into astronomic data bases and astrophisics specialized packages.
Developing of procedures to the JWST data combination and the joint analyisis of large volumes of data.
Simulation and study of observations made from the MIRI tool of the JWST with the MIRISim simulator.
Libraries Used¶
PyQt - Binding of C++ GUI library.
Numpy - Library that allow large data manipulation in python.
Matplotlib - Grpah visualization library.
Astropy - Collection of software packages used for astronomy.
Seaborn - Statistical data visualization.
Lmfit - Non-Linear Least-Squares Minimization and Curve-Fitting for python.
PyPubSub - Package that provides a publish-subscrive API.
Tools Installation¶
Because the tools are not loaded into pip, they need to be downloaded or cloned with the next command:
$ clone url
After the package has been downloaded, it need to be installed:
$ python install
Tools execution¶
all_tools execution:
$ allTools
mrs_chan execution:
$ bandChan
mrs_spec_chan execution:
$ specChan
mrs_det_plot execution:
$ detPlot
fit_line execution:
$ fitLine
Tutorials¶
Authors and License¶
The AstroCabTools
package is written mostly by Alejandro Gorgues and Alvaro Labiano.
It has a custom license.