Publications

Haystack publications across all research areas: astronomy, geodesy, geospace and atmospheric science, and space technology. Publications listed here each include at least one Haystack author.
2821 Results found

First Sagittarius A* Event Horizon Telescope Results: Imaging the Galactic Supermassive Black Hole Sgr A*. American Astronomical Society Meeting Abstracts. (2022). BIBCODE: https://ui.adsabs.harvard.edu/abs/2022AAS…24021103A

First Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way. The Astrophysical Journal Letters. (2022).

Detection and Three‐Dimensional Reconstruction of Concentric Traveling Ionosphere Disturbances Induced by Hurricane Matthew on 7 October 2016. Journal of Geophysical Research: Space Physics. (2022). DOI: https://doi.org/10.1029/2022JA030690

Validation of Ionospheric Specifications During Geomagnetic Storms: TEC and foF2 during the 2013 March Storm Event-II. (2022). DOI: https://doi.org/10.22541/essoar.167134689.94147035/v1

Millimeter/Submillimeter VLBI with a Next Generation Large Radio Telescope in the Atacama Desert. Galaxies. (2022). DOI: https://doi.org/10.3390/galaxies11010001

Progress on the Haystack Observatory Postprocessing System. Galaxies. (2022). DOI: https://doi.org/10.3390/galaxies10060119

Analytic Approximations of Scattering Effects on Beam Chromaticity in 21‐cm Global Experiments. Radio Science. (2022). DOI: https://doi.org/10.1029/2022RS007558

Multi‐Step Vertical Coupling During the January 2017 Sudden Stratospheric Warming. Journal of Geophysical Research: Space Physics. (2022). DOI: https://doi.org/10.1029/2022ja030866

Living on the edge of the Milky Way’s central molecular zone. G1.3 is the more likely candidate for gas accretion into the CMZ. Astronomy and Astrophysics. (2022). DOI: https://doi.org/10.1051/0004-6361/202244870

VizieR Online Data Catalog: Central Molecular Zone cloud complexes datacubes (Busch+, 2022). VizieR Online Data Catalog. (2022). BIBCODE: https://ui.adsabs.harvard.edu/abs/2022yCat..36680183B

A Bayesian approach to modelling spectrometer data chromaticity corrected using beam factors — I. Mathematical formalism. arXiv. (2022). DOI: https://doi.org/10.48550/ARXIV.2212.03875

Next-Generation Meteor Radar Networks for MLT Science. (2022).

Gaussian process model specification for 4-D wind field estimation using meteor radar network observations. 2022 USNC-URSI National Radio Science Meeting. (2022).

Digital RF. (2022).

Mass Loss in Evolved Stars. Proceedings of the International Astronomical Union. (2022). DOI: https://doi.org/10.1017/S1743921323002788

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