pandorapsf

This is a standalone tool for working with the NASA Pandora Mission PSF. This can be used to model the expected distribution of starlight on the detector.

Installation

To install you can use

pip install pandorapsf --upgrade

You should update your package often, as we frequently put out new versions with updated Current Best Estimates, and some limited new functionality. Check your version number using

import pandorapsf as ppsf
ppsf.__version__

Configuration

pandorapsf has a configuration system. This determines where pandorapsf will expect your data to be stored.

Users can find where the configuration file is stored using

from pandorapsf import CONFIGDIR
print(CONFIGDIR)

You can display your current configuration using

from pandorapsf import display_config
display_config()

You can access particular configuration parameters using

You can display your current configuration, for example use the following to find the data_dir parameter.

from pandorapsf import config
config["SETTINGS"]["data_dir"]

You can update the configuration either by updating the config.ini file in your CONFIRDIR or you can update them in your environment using save_config, e.g.

from pandorapsf import save_config
config["SETTINGS"]["log_level"] = "INFO"
save_config(config)

If you want to reset back to defaults you can use

from pandorapsf import reset_config
reset_config()

Configuration Parameters

Below is a table of all the configuration parameters in pandorapsf and their current defaults

Obtaining PSF files

When you install this tool you will additionally need to download the PSF grid online. This grid will be updated periodically as we improve our estimates of Pandora's performance. pandorapsf will download the files for you and put them in your configured data directory.

As we release new versions of pandorapsf, the default configuration will change to point to new PSF files that contain our new best estimates. Keep your pandorapsf version up to date to ensure you have the most recent changes.

Dependencies

This tool depends on sparse3d which implements the sparse matrix maths needed to quickly model scenes.