From the 3 of 151 papers with an AI index.
55 citations
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES71 papers
- The Ohio State UniversityUS66 papers
- California Institute of TechnologyUS60 papers
- Sejong UniversityKR60 papers
- University of VirginiaUS60 papers
- Princeton UniversityUS58 papers
- University of California SystemUS58 papers
- Université Paris-SaclayFR57 papers
- Universidad Autónoma de MadridES54 papers
- University of Wisconsin–MadisonUS53 papers
- Massachusetts Institute of TechnologyUS52 papers
- Texas A&M UniversityUS51 papers
6 papers · 1 filter
A 3D-Printed Millimeter-Wave Inline Waveguide-to-Coplanar-Waveguide Transition to Enable Dense Spectrometer Arrays for Intensity Mapping Surveys
Austin Stover, Juliang Li, Peter Sharpe +4
We present a 3D-printed millimeter-wave, octave-bandwidth, in-line waveguide-to-coplanar-waveguide transition designed to enable focal planes with dense arrays of on-chip spectrome…
Flux Cube Reconstruction from Slitless Spectroscopy
M. Griggio, R. E. Ryan, N. Pirzkal +19
Slitless spectroscopy enables efficient, large-area surveys without target pre-selection, yet it faces challenges from source blending, higher noise, and lost spatial-spectral info…
Light-tight skipper-CCDs for X-ray detection in space
Ana M. Botti, Yikai Wu, Brenda Cervantes +6
Skipper Charge-Coupled Devices (skipper-CCDs) are pixelated silicon detectors with deep sub-electron resolution. Their radiation hardness and capability to reconstruct energy depos…
Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
Ana SofÃa M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37
Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…
The Vera C. Rubin Observatory Data Preview 1
Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325
We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…
Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder
C. Nicolaou, R. P. Nathan, O. Lahav +43
The tens of millions of spectra being captured by the Dark Energy Spectroscopic Instrument (DESI) provide tremendous discovery potential. In this work we show how Machine Learning,…