Education Research Current Organisation and Cooperation NL
Login as
Prospective student Student Employee
Bachelor Master VU for Professionals
Exchange programme VU Amsterdam Summer School Honours programme VU-NT2 Semester in Amsterdam
PhD at VU Amsterdam Research highlights Prizes and distinctions
Research institutes Our scientists Research Impact Support Portal Creating impact
News Events calendar Energy in transition
Israël and Palestinian regions Women at the top Culture on campus
Practical matters Mission and core values Entrepreneurship on VU Campus
Organisation Partnerships Alumni University Library Working at VU Amsterdam
Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved in My Study Choice.
Something went wrong with processing the request.
Something went wrong with processing the request.

Bringing ChiPS (Compact High-Performance Sensors) to ASML and Einstein Telescope

Share
2 December 2024
VU physicists Joris van Heijningen and Conor Mow-Lowry receive subsidy of about 2 M€ with a collaboration between Nikhef and TU Delft and industry partners ASML, Demcon, Settels Savenije Group of Companies, IBS Precision Engineering, and IDE.

Those in sensor development have all done it: squeeze out that one nice result by tweaking and babysitting. The next day, the sensor would need re-calibrating or re-alignment. This proposal is all about taking the best-performing sensing and control techniques and combine them into horizontal and vertical inertial sensor concepts that we will then take to the next level: compact, robust and ultra-precise inertial sensors.

The semiconductor industry needs faster and more accurate machines that move much less that the ground they stand on. Einstein Telescope (ET) needs a good base platform from which to hang its mirrors or support its optical tables. The CHiPS project will develop advanced inertial sensors the size of a coffee cup and [a factor 10 to a factor 1000 more sensitive than current technology in between 10 mHz and 250 Hz] or [extreme performance]. They will provide superior error signals for the actively isolating platforms at ASML and ET. No chance for tweaking and babysitting!

About Joris van Heijningen

Joris van Heijningen is Assistant Professor at the Vrije Universiteit Amsterdam and co-chair of the auxiliary optics suspensions sub-division in the Einstein Telescope Instrument Science Board and deputy work package leader of the ETpathfinder optics suspensions. In 2018, he achieved an 8 fm/√Hz sensitivity from 30 Hz to 100 Hz with a room-temperature, interferometrically readout Watt’s linkage. That sensor was tested on a optical table suspended by the MultiSAS, which is now suspending a sensor testbed at Nikhef. His current work involves adjustments of the Watt’s linkage design to make a niobium version manufacturable. His previous work on vibration isolation stages for Advanced Virgo bring expertise on sensor test-bed set-up to this consortium.

About Conor Mow-Lowry

Conor Mow-Lowry is an Associate Professor at the Vrije Universiteit Amsterdam and Nikhef. He develops new instrumentation funded by an ERC Consolidator grant to enable the Einstein Telescope to reach its low-frequency sensitivity, allowing observations of heavier objects deep in cosmological time. Mow-Lowry has developed compact interferometric sensors that are seen by the community as a necessity for all future gravitational-wave detectors and are the basis for the optical configuration of the interferometric readout of this proposal. His broad expertise has put him in an ideal position for leading the “Active Noise Mitigation” division of the Einstein Telescope.

Read more about the consortia: https://www.nwo.nl/en/news/6-studies-will-launch-to-develop-next-generation-high-tech-technology

Quick links

Homepage Culture on campus VU Sports Centre Dashboard

Study

Academic calendar Study guide Timetable Canvas

Featured

VUfonds VU Magazine Ad Valvas

About VU

Contact us Working at VU Amsterdam Faculties Divisions
Privacy Disclaimer Veiligheid Webcolofon Cookies Webarchief

Copyright © 2024 - Vrije Universiteit Amsterdam