6.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Academia SinicaTW1.4k papers
- National Astronomical Observatory of JapanJP910 papers
- The University of TokyoJP744 papers
- Center for Astrophysics Harvard & SmithsonianUS671 papers
- Centre National de la Recherche ScientifiqueFR668 papers
- European Southern ObservatoryCL490 papers
- California Institute of TechnologyUS470 papers
- The Graduate University for Advanced Studies, SOKENDAIJP427 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP425 papers
- Jet Propulsion LaboratoryUS360 papers
- Max Planck Institute for AstronomyDE342 papers
- Leiden UniversityNL340 papers
6 papers · 2 filters
GPCAL: a generalized calibration pipeline for instrumental polarization in VLBI data
Jongho Park, Do-Young Byun, Keiichi Asada +1
We present the Generalized Polarization CALibration pipeline (GPCAL), an automated pipeline for instrumental polarization calibration of very long baseline interferometry (VLBI) da…
On the accuracy of the ALMA flux calibration in the time domain and across spectral windows
Logan Francis, Doug Johnstone, Gregory Herczeg +2
A diverse array of science goals require accurate flux calibration of observations with the Atacama Large Millimeter/Submillimeter array (ALMA), however, this goal remains challeng…
ALMA High-frequency Long-baseline Campaign in 2017: A Comparison of the Band-to-band and In-band Phase Calibration Techniques and Phase-calibrator Separation Angles
Luke T. Maud, Yoshiharu Asaki, Edward B. Fomalont +9
The Atacama Large millimeter/submillimeter Array (ALMA) obtains spatial resolutions of 15 to 5 milli-arcsecond (mas) at 275-950GHz (0.87-0.32mm) with 16km baselines. Calibration at…
SPIRou: nIR velocimetry & spectropolarimetry at the CFHT
J. -F. Donati, D. Kouach, C. Moutou +63
This paper presents an overview of SPIRou, the new-generation near-infrared spectropolarimeter / precision velocimeter recently installed on the 3.6-m Canada-France-Hawaii Telescop…
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…
SYMBA: An end-to-end VLBI synthetic data generation pipeline
F. Roelofs, M. Janssen, I. Natarajan +203
Realistic synthetic observations of theoretical source models are essential for our understanding of real observational data. In using synthetic data, one can verify the extent to…