TTTR Toolbox

The fastest streaming algorithms for your TTTR data.

TTTR Toolbox can be used as a standalone Rust library. If you do most of your data analysis in Python you may prefer to check Trattoria, a wrapper library for this crate.

Project Goals

• Single threaded performance
• Ease of extensibility

Algorithms available

• second order autocorrelation (g2)
• intensity time trace
• record number time trace
• zero delay finder

Supported file and record formats

• PicoQuant PTU
  • PHT2
  • HHT2HH1
  • HHT2HH2

If you want support for more record formats and file formats please ask for it. At the very least we will need the file format specification and a file with some discernible features to test the implementation.

Examples

```rust pub fn main() { let filename = PathBuf::from("/Users/garfield/Downloads/20191205Xminus0p1Ve-6CWHBT.ptu"); let ptufile = File::PTU(PTUFile::new(filename).unwrap()); // Unwrap the file so we can print the header let File::PTU(f) = &ptufile; println!("{}", f);

let params = G2Params {
    channel_1: 0,
    channel_2: 1,
    correlation_window: 50_000e-12,
    resolution: 600e-12,
    start_record: None,
    stop_record: None,
};
let g2_histogram = g2(&ptu_file, &params).unwrap();
println!("{:?}", g2_histogram.hist);

} ```