1. Features

1.1. Overview of PyMoDAQ-Femto

The package implements several retrieval algorithms for ultrashort laser pulse measurement methods, such as as frequency-resolved optical gating (FROG), dispersion scan (d-scan), and more. The application can simulate measurement traces from various pulse shapes, and apply retrieval algorithms to them. It also works on real experimental measured traces.

PyMoDAQ-Femto is written in Python and uses Python 3.7+. It is an extension of the PyMoDAQ package, which is a Modular Data Acquisition module that can interface any kind of experiment. As such, PyMoDAQ-Femto can natively work on data measured using PyMoDAQ, although it can also work on any data provided that it is converted to the proper format (see Converting raw data to be used in the retriever for conversion guidelines).

The algorithms implemented in PyMoDAQ-Femto are based on the excellent pypret package, which provides a common pulse retrieval algorithm to several pulse measurement methods (see [Geib2019] for a full description).

Fig. 1.1 Overview of the two modules of PyMoDAQ-Femto

1.2. Available methods

Table 1.1 Available measurement types that can be simulated or retrieved, with their supported non-linear processes.

Method	Full Name	Supported non-linear processes *
frog	Frequency-resolved optical gating	shg, pg, tg
dscan	Dispersion scan	shg, thg, sd
ifrog	Interferometric frequency-resolved optical gating	shg, thg, sd
miips	Multiphoton intrapulse interference phase scan	shg, thg, sd
tdp	Time-domain ptychography	shg, thg, sd

*

shg: Second Harmonic Generation, thg: Third Harmonic Generation, sd: Self Diffraction, pg: Polarization Gating, tg: Transient Grating