output
20112026
most citedSingle-Shot Multi-Stage Damage and Ablation of Silicon by Femtosecond Mid-infrared Laser Pulses

55 citations

13 papers

astro-ph.IM2026

Spatially Scanned STIS Spectra of the Exoplanet Host Star 55 Cnc

D. E. Welty, J. D. Lothringer, D. K. Sing +3

We discuss the analysis of two sets of optical/near-IR spectra of the exoplanet host star 55 Cnc, obtained with the Space Telescope Imaging Spectrograph (STIS) and grating G750L in…

astro-ph.IM2026

Segment-level thermal sensitivity analysis for exo-Earth coronagraphy with segmented space telescopes

Ananya Sahoo, Laurent Pueyo, Iva Laginja +5

Direct imaging and characterization of Earth-like planets require ultra-stable wavefronts to achieve a starlight suppression level of 100 parts per trillion (ppt) in the coronagrap…

astro-ph.IM2025★ 33 cited

The SPHEREx Satellite Mission

James J. Bock, Asad M. Aboobaker, Joseph Adamo +111

SPHEREx, a NASA explorer satellite launched on 11 March 2025, is carrying out the first all-sky near-infrared spectral survey. The satellite observes in 102 spectral bands from 0.7…

physics.optics2022★ 8 cited

Mid-infrared frequency combs and staggered spectral patterns in microresonators

Nicolas Amiune, Zhiwei Fan, Vladislav V. Pankratov +5

The potential of frequency comb spectroscopy has aroused great interest in generating mid-infrared frequency combs in the integrated photonic setting. However, despite remarkable p…

physics.optics2021★ 25 cited

A simple approach of broadband mid-infrared pulse generation with a mode-locked Yb-doped fiber laser

Takuma Nakamura, Venkata Ramaiah Badarla, Kazuki Hashimoto +2

Broadband mid-infrared (MIR) molecular spectroscopy demands a bright and broadband light source in the molecular fingerprint region. To this end, intra-pulse difference frequency g…

cs.LG2021★ 12 cited

A Meta-Reinforcement Learning Approach to Process Control

Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen +3

Meta-learning is a branch of machine learning which aims to quickly adapt models, such as neural networks, to perform new tasks by learning an underlying structure across related t…