Paper 13100-235
Novel phase masks with overlapping regions to fabricate fiber Bragg gratings for filtering sky emission lines
Abstract
We analyze aperiodic fiber Bragg gratings (FBGs) fabricated using an aperiodic phase mask, involving partial overlaps of distinct mask regions. Multichannel aperiodic FBG filters are promising candidates for suppressing hydroxyl (OH) emission lines in ground-based near-infrared astronomical observations. However, the fabrication of such multichannel aperiodic FBGs demands high repeatability. We explore the design of phase masks with repeatable FBG inscriptions. Previously, we have explored a phase mask (1st generation) designed and fabricated with partial overlapping regions using logical OR operation. Continuing this effort, we investigate three distinct phase mask designs capable of generating FBGs corresponding to five OH lines. The first mask features five discrete regions, each producing a specific FBG channel, while the other two masks incorporate numerically obtained overlap regions using logical OR and XOR operations. We present here the performances of the fabricated masks by comparing the Bragg wavelengths and the reflectivities of the inscribed FBGs.
Presenter
innoFSPEC (Germany), Leibniz-Institut für Astrophysik Potsdam (Germany)
Xijie Luo began her academic journey at Shanxi University in China, from which she holds her BSc in physics. She furthered her studies by obtaining a M.Sc. in physics at the University of New Mexico, US. During this period, her research focused on the generation and detection of orbital angular momentum using beam-shaping techniques.
In 2021, Xijie transitioned to the Leibniz-Institut für Astrophysik in Germany to pursue her Ph.D. studies, marking a shift in her research focus to astrophotonics. Her current work involves the design and generation of fiber Bragg gratings for the purpose of filtering hydroxyl (OH) emission lines. This research is an integral part of the OH-SUPER project, which aims to enhance ground-based astronomical observations through advanced filtering techniques.