This repository contains the files which are used for the Blaauw Archive. The Blaauw Archives (currently in development) can be found at:
And a tap interface is available at:
1. Load the file with headers. This should be a list of dicts: list[dict], where each dict contains the header information of the FITS file.
- for each file/header
- determine what the 'type' it is
- A raw file. Can be light,bias,flat,dark (all accepted)
- A processed file, either:
- master (flat, dark, bias)
- reduced (light)
- Insert the file in database based on type
- raw file -> raw
As before
- master -> calibration
- Get reference to the raw version (BP-TRAW / BP-PRAW) (maybe get
the actual database ID)
- Get reference to the masters used to create it (i.e. a master dark uses a master bias). NOTE:
- Insert into calibration
- Get references to the components of the master (BP-SRCN &
BP-SRC#>)& add entry in the composition table
- reduced light -> reduced
- Get reference to the raw version (BP-TRAW / BP-PRAW) (maybe get
the actual database ID)
- Get reference to the masters used to create it (i.e. a master
dark uses a master bias)
- Insert into reduced
There are multiple locations where you can get some help on how to use the service:
- TAP Python interface for this service: Notebook in the examples directory
- Basic introduction to the Raw Observations table
If you want to add something to the Blaauw Archive, you can add some description to columns in this CSV File or add something to the description of the raw data table.