May 24, 2022


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502 teams have progressed to Phase 2 of Astro Pi Mission Space Lab 2021-22



In temporary

The European Space Company in collaboration with the Raspberry Pi Foundation are delighted to announce that a history 800 groups from 23 international locations submitted experiment thoughts for this year’s European Astro Pi Problem Mission House Lab – an outstanding 83% enhance in participation from very last calendar year!


This means more than 3100 young persons from throughout Europe have taken part in Period 1 of the obstacle. From the 800 teams in Period 1, 502 have been picked to progress to Period 2 of the challenge. This is 26% more than the quantity of teams that progressed previous 12 months, inspite of the big raise in submissions and the fierce amount of level of competition.

Mission Room Lab

AstroPi exploding diagram

In Mission Place Lab, teams of young persons aged up to 19 create scientific experiments that operate on the International Area Station’s two Astro Pi – Raspberry Pi desktops – in space, completely ready conditions with cameras and an array of sensors.
This yr, all Mission Space Lab experiments will be run on new, upgraded Astro Pi models, consisting of the latest model of the Raspberry Pi pc, an upgraded digicam, and an augmented sensor board. This gear will allow individuals to do a vast vary of experiments than ever before, some of which ended up not formerly attainable, such as experiments applying things of synthetic intelligence, sophisticated device discovering, and bigger-resolution images.

In Phase 1 of the Obstacle, teams submit an plan for an experiment investigating both Daily life on Earth or Life in House. Teams that pick to investigate Lifetime in Place use the Astro Pi within the Columbus module on the ISS to look into the environmental disorders onboard.

Groups that pick to investigate Existence on Earth use an Astro Pi positioned in the Earth observation window on the ISS, which includes its sensors and its seen mild or close to-infrared high quality digicam, to investigate everyday living on the planet’s area.

Astro Pi kits

AstroPi kit

The very best experiment ideas submitted at Period 1 then progress to Section 2 and acquire a particular Astro Pi kit to help them compose their experiment plans.
These kits incorporate a Raspberry Pi 4 laptop or computer, a Raspberry Pi High Top quality Camera and the exact sensors that are on the Astro Pi desktops on the ISS. In addition, teams conducting experiments involving device discovering will receive a Coral equipment learning accelerator, and teams conducting experiments involving InfraRed pictures will get a purple optical filter.

All thriving teams have been notified by electronic mail and the Astro Pi kits will soon be on their way to them. The groups will then have the chance to familiarise themselves with the Astro Pi sensors and cameras, and to develop, take a look at and re-examination their code!

What is future?

The deadline for publishing Period 2 experiments is Thursday 24 February at 23:59 GMT / 00:59 CET.
A take note to teams: To help groups get began with their experiments, they should seek the advice of the Mission Place Lab pointers which will support them throughout the Challenge. They really should also shell out distinct focus to our Period 2 venture guide, in which we have gathered vital facts about composing their system and what is and isn’t feasible with the Astro Pi components and software program. Reading this cautiously will give groups the most effective probability of relocating on to Stage 3, as their application will have to comply with the specifications mentioned in the Section 2 guideline.

Groups can find further supporting methods on the Astro Pi web site.
Congratulations to the successful teams and thank you to everybody who entered Mission Place Lab this calendar year. If your team was unsuccessful this time, we’re sorry for the disappointment and hope you re-enter subsequent yr.

There’s also nevertheless time to enter Mission Zero, to vote for which European scientist you imagine we ought to identify the models just after.