News

Sep
27
2025
By pierluigi.poggiolini@polito.it


The software can be downloaded from the Zenodo repository, at this link:

https://zenodo.org/records/17199507

Thanks to the many people that have visited the Zenodo repository so far: over 620 since we published the first version! Drop us a line with your feedback!

Aug
27
2025
By pierluigi.poggiolini@polito.it

A new version of the advanced multiband optical link analyzer, PCFM 1.1, is now available for download.

The software can be downloaded from the Zenodo repository, at this link:

https://zenodo.org/records/16967985

Thanks to the many people that have visited the Zenodo repository so far: over 340 since we published the first version!
Drop us a line with your feedback!

For version 1.0 and the basics on the GN/EGN-model PCFM link calculator, please see the previous post below.

Aug
13
2025
By pierluigi.poggiolini@polito.it

A new advanced multiband optical link analyzer, PCFM 1.0, is now available for download.

PCFM 1.0 allows you to model an arbitrary multiband (such as C+L+S+more) optical system, with no constraints: each span can be different, use a different fiber and a different amplifier. You can have as many span as you please, from single-span to transoceanic (100+ spans). Each WDM channel can be different too, in all its features. Channel spacing needs not be uniform.

Aug
9
2023
By roberto.gaudino@polito.it

The Italy Research Ministry has published yesterday the result of the selection process for the PRIN2022 national research funds (link to the MIUR web page): we are very happy that our project proposal titled “SURENET” (Surveillance of the URban Environment exploiting deployed optical NETworks) was approved! Prof. Roberto Gaudino will be the project Coordinator.

We are eager to start working on it together with our colleagues at Politecnico di Milano!

Jun
5
2023
By roberto.gaudino@polito.it

A new paper of ours was published today in IEEE Photonic Journal: it proposes a novel method for fast alarm generation in case of anomalous events (like large rockfalls or debris flows) in the alpine environment, using polarization-based fiber sensing.

Title:  Algorithm Optimization for Rockfalls Alarm System Based on Fiber Polarization Sensing

Authors: Saverio Pellegrini; Giuseppe Rizzelli; Marco Barla; Roberto Gaudino