exorad 2.1.79.1

The generic point source radiometric model

ExoRad 2.0: The generic point source radiometric model

ExoRad, the generic point source radiometric model, interfaces with any instrument to provide an estimate of several Payload performance metrics.

As an example, for each target and for each photometric and spectroscopic channel, ExoRad provides estimates of:

1. signals in pixels
2. saturation times
3. read noise
4. photon noise
5. dark current noise
6. zodiacal bkg
7. inner sanctum
8. sky foreground

Reports

The code is under development, so, please report any issue or inaccuracy to the developers to support the implementation.

Cite

ExoRad has been developed from ArielRad. If you use this software please cite: Mugnai et al, "ArielRad: the ARIEL radiometric model", 2020 (doi: 10.1007/s10686-020-09676-7)

Installation

Installing from PyPi

You can install it by doing

pip install exorad

Installing from source

Clone the directory using:

git clone https://github.com/ExObsSim/ExoRad2-public

Move into the ExoRad2 folder. Then install

pip install .

Run

Once Exorad is installed in your system you can run it from console. Run exorad -help to read the list of accepted keywords.

An example to ExoRad is provide in the ExoRad2/examples folder. From the ExoRad2 directory you can try

exorad -p examples/payload_example.xml -t examples/test_target.csv -o example_run/test.h5 

The code output will appear in a directory called example_run

Documentation

The full documentation is available here

Or you can build the documentation yourself using sphinx . To install it run

pip install sphinx sphinx_rtd_theme

From the ExoRad2/docs folder running

cd docs
make html

Then you will find the html version of the documentation in ExoRad2/docs/build/html/index.html.