Interested in contributing to the future of Space Traffic Management? Two Postdoc positions open on “Techniques and software development for Space Situational Awareness and Space Traffic management”.
SpEye CubeSat mission goes on, phase A reviews successfully passed!
Il 22, 23 e 24 settembre si terrà il festival dell’ingegneria presso il Politecnico di Milano – Campus Milano Bovisa.
Veniteci a trovare al nostro laboratorio su “Orbite e satelliti per salvaguardare il nostro pianeta” e alla lezione per tutti i bambini su come Lo Spazio per noi e per lo studio dei cambiamenti climatici.
Check out the new JGCD journal article by Francesca Scala, Ioannis Gkolias and Camilla Colombo on the analytical trajectory design for distant planetary orbiters using the Hamiltonian phase space.
Francesca Scala successfully defended her PhD thesis “Multiple satellites formation flying for earth observation applications in low Earth orbit” at Politecnico di Milano, to be awarded the doctoral degree in Aerospace Engineering.
Politecnico di Milano will host the “Space capacity allocation for the sustainability of space activities” workshop on 6th to 8th June: open to researchers, space operators and regulators to discuss on space sustainability and space capacity management. Register by 18/05/2023.
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The new paper published by Lorenzo Giudici, Mirko Trisolini and Camilla Colombo presents a fully probabilistic model for the long-term propagation of space debris clouds evolving under any orbital regime.
The paper is available at the following link: here.
Are you curious about the modelling of a distributed L-band radiometer and its link to relative motion? Last week Cristina Erbeia presented her thesis work, developed under the supervision of our Camilla Colombo and Francesca Scala, at the Pegasus Student Conference 2023 in Rome.
The new paper published in IEEE TGRS by Manuel Martin-Neira and co-authored by Francesca Scala, Camilla Colombo, ESA and Airbus D&S proposes an innovative mission concept, TriHex, to achieve high spatial and radiometric resolution for passive L-band application, approaching user needs beyond SMOS and SMAP missions.
The paper is available for early access at the following link: here.
The new paper published in MDPI Aerospace by Francesco Salmaso, Mirko Trisolini, and Camilla Colombo applies Deep Learning and Recurrent Neural Network to the prediction of the re-entry time of uncontrolled space objects.