24 citations · 63 across the 31 of their papers we have counts for
22 papers · 1 filter
Pushing high angular resolution and high contrast observations on the VLTI from Y to L band with the Asgard instrumental suite: integration status and plans
Marc-Antoine Martinod, Michael J. Ireland, Denis Defrère +39
ESO's VLTI has a history of record-breaking discoveries in astrophysics using high-angular resolution instrumentation. Its latest visitor instrument, the Asgard instrumental suite,…
The Photonic Lantern Nuller: from concept to laboratory and on-sky demonstrations
Yinzi Xin, Nemanja Jovanovic, Dimitri Mawet +18
This thesis work presents the conceptual design and experimental characterization of the Photonic Lantern Nuller instrument, which uses a multimode-to-single-mode demultiplexing wa…
FIRST-PL: Commissioning the first visible photonic lantern spectrograph for sub-diffraction-limit astronomy on Subaru/SCExAO
Sebastien Vievard, Elsa Huby, Sylvestre Lacour +18
FIRST-PL (Fibered Imager foR a Single Telescope - Photonic Lantern) is a newly commissioned visible-light instrument on Subaru/SCExAO achieving spectroscopy below the diffraction l…
Combining spectroscopy and wavefront control at deep contrast with photonic lanterns
Mona El Morsy, Olivier Guyon, Barnaby Norris +7
HWO aims to directly image objects orbiting Sun-like stars, using a 6-m telescope capable of high-contrast imaging () and spectroscopy to search for biosignatures in plan…
On-sky Demonstration of Subdiffraction-limited Astronomical Measurement Using a Photonic Lantern
Yoo Jung Kim, Michael P. Fitzgerald, Sébastien Vievard +18
Resolving fine details of astronomical objects provides critical insights into their underlying physical processes. This drives in part the desire to construct ever-larger telescop…
PIRATES -- a machine-learning framework for polarized, interferometric image reconstruction
Lucinda Lilley, Barnaby Norris, Peter Tuthill +13
Optical interferometric image reconstruction is a challenging, ill-posed optimization problem which usually relies on heavy regularization for convergence. Conventional algorithms…