Features and Changelog¶
On this page we assemble the features of current Cait realeases and changes from the past versions.
v1.0.0¶
This is the first stable, full release of Cait. In this original version, the following features are included:
- Calculation of features:
Main parameters
Standard events
Noise power spectra
Optimum filter
Standard event and parametric fits
Principal components
Baseline fits
- Processing of continuously recorded raw data:
Stream (*.csmpl) triggering with or without optimum filtering.
Synchronisation with hardware triggered data.
Simulation of random triggers on the continuous data stream.
- Raw data analysis tools:
Logical cuts
Estimation of trigger thresholds
Rate and stability cuts
Energy calibration
Calculation of baseline resolution
Calculation of total exposure
- Simulation tools:
Simulation of raw data with particle pulse, test pulses or exceptional standard event templates (e.g. carrier events) in the linear and saturated regime.
Simulation of realistic noise baselines.
Simulation of test data in various raw data formats.
- Machine learning:
Data module compatible with Pytorch Lightning.
Evaluation environment compatible with Scikit-Learn.
- High level analysis:
Fit of recoil bands in the energy-light plane.
Calculation of dark matter exclusion limits with Yellins Maximum Gap method.
Various plotting routines.