Test Data Set¶
A test data set for SourceXtractor++ covering various data reduction scenarios was developed for the ADASS XXXII Conference. The proceedings contribution is available as a pre-print. The test data set includes the input data, all relevant configuration files, the SourceXtractor++ commands and the expected output results for a reference and is available for download here. The data set is organized in a series of exercises that run with SourceXtractor++ v0.19 (except for the last exercise).
01 The basics¶
Making the connection to SExtractor;
Object detection;
Configuration file(s);
Object properties;
Simple fitting (Sersic model, one image, one band);
02 Multi-band¶
The bread-and-butter scenario (running on multi-band images);
Three bands, three different WCS;
Creating and processing in groups;
Dependent parameters;
User defined output columns;
03 Dependent parameters and priors¶
Connect data and measurements;
Add knowledge on your data;
Iterate and refine your processing;
04 User defined functions¶
What’s beyond Sersic and Disk+Bulge and Pointlike;
With onnx towards galfit!
05 Working on cubes¶
Exploring the third dimension!
06 Extended associations¶
Funnel external knowledge into your measurements;
Towards disentangling detection and measurements!
07 The future: Python control¶
available in the devel branch experimental/call_from_python;
Run SourceXtractor++ from python;
Direct interaction with the objects and results;
Run your own software as part of the SourceXtractor++ processing;