Data reduction pipeline for DESHIMA 2.0 data of the 2024 campaign

This Python package contains my data reduction and spectrum stacking for the DESHIMA 2.0 data.

Installation

Navigate to the directory containing this README, and type:

pip install .

In case you would like to edit the package to suit your own needs, install it in editable mode:

pip install -e .

Reduction of pswsc data

For pswsc data reduction, the flow is as follows:

• despiking
• nodding overshoot removal
• atmosphere subtraction
• grouping and averaging of ABBA cycles

This produces a single spectrum, which can be stacked together with other spectra. It can also be rebinned in case this is desired.

See example usage in examples/reduce_pswsc_example.py.

Reduction of daisy AB data

For daisy with AB chopping data, the procedure is as follows:

• despiking
• atmosphere subtraction
• off-source residual removal

This is currently a work in progress. This repo will be updated when new updates come out.

Questions, remarks, and contact

Please see the CONTRIBUTING.md document for what to do when you want to contribute, report an issue/bug, etc. Other inquiries, please send to: A.Moerman (dash) 1 (at) tudelft (dot) nl