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Dive into the research topics where Daniel S. MacMillan is active.

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Featured researches published by Daniel S. MacMillan.


Astrophysical Journal Supplement Series | 2002

THE VLBA CALIBRATOR SURVEY—VCS1

Anthony J. Beasley; David Gordon; Alison B. Peck; Leonid Petrov; Daniel S. MacMillan; Edward B. Fomalont; C. Ma

A catalog containing milliarcsecond-accurate positions of 1332 extragalactic radio sources distributed over the northern sky is presented—the Very Long Baseline Array Calibrator Survey (VCS1). The positions have been derived from astrometric analysis of dual-frequency 2.3 and 8.4 GHz VLBA snapshot observations; in a majority of cases, images of the sources are also available. These radio sources are suitable for use in geodetic and astrometric experiments, and as phase-reference calibrators in high-sensitivity astronomical imaging. The VCS1 is the largest high-resolution radio survey ever undertaken and triples the number of sources available to the radio astronomy community for VLBI applications. In addition to the astrometric role, this survey can be used in active galactic nuclei, Galactic, gravitational lens, and cosmological studies. Subject headings: astrometry — radio continuum: general — reference systems — surveys — techniques: interferometric On-line material: machine-readable tables


The Astronomical Journal | 2003

THE SECOND VLBA CALIBRATOR SURVEY: VCS2

Edward B. Fomalont; Leonid Petrov; Daniel S. MacMillan; David Gordon; C. Ma

This paper presents an extension of the Very Long Baseline Array Calibrator Survey, called VCS2, containing 276 sources. This survey fills in regions of the sky that were not completely covered by the previous VCS1 calibrator survey. The VCS2 survey includes calibrator sources near the Galactic plane, -30° < δ < -45°, and VLA calibrators. The positions have been derived from astrometric analysis of the group delays measured at 2.3 and 8.4 GHz using the Goddard Space Flight Center CALC/SOLVE package. From the VLBA snapshot observations, images of the calibrators are available, and each source is given a quality code for anticipated use. The VCS2 catalog is available from the NRAO Web site.


Journal of Geophysical Research | 1994

Atmospheric pressure loading parameters from very long baseline interferometry observations

Daniel S. MacMillan; John Gipson

Atmospheric mass loading produces a primarily vertical displacement of the Earths crust. This displacement is correlated with surface pressure and is large enough to be detected by very long baseline interferometry (VLBI) measurements. Using the measured surface pressure at VLBI stations, we have estimated the atmospheric loading term for each station location directly from VLBI data acquired from 1979 to 1992. Our estimates of the vertical sensitivity to change in pressure range from 0 to −0.6 mm/mbar depending on the station. These estimates agree with inverted barometer model calculations (Manabe et al., 1991; vanDam and Herring, 1994) of the vertical displacement sensitivity computed by convolving actual pressure distributions with loading Greens functions. The pressure sensitivity tends to be smaller for stations near the coast, which is consistent with the inverted barometer hypothesis. Applying this estimated pressure loading correction in standard VLBI geodetic analysis improves the repeatability of estimated lengths of 25 out of 37 baselines that were measured at least 50 times. In a root-sum-square (rss) sense, the improvement generally increases with baseline length at a rate of about 0.3 to 0.6 ppb depending on whether the baseline stations are close to the coast. For the 5998-km baseline from Westford, Massachusetts, to Wettzell, Germany, the rss improvement is about 3.6 mm out of 11.0 mm. The average rss reduction of the vertical scatter for inland stations ranges from 2.7 to 5.4 mm.


in Proceedings of the 2007 IAG General Assembly, Perugia, Italy, July 2-13, 2007, ed. M. Sideris, Springer | 2009

Recent Progress in the VLBI2010 Development

Dirk Behrend; Johannes Böhm; Patrick Charlot; T. A. Clark; B. E. Corey; John Gipson; Rüdiger Haas; Yasuhiro Koyama; Daniel S. MacMillan; Zinovy Malkin; Arthur Niell; Tobias Nilsson; Bill Petrachenko; Alan E. E. Rogers; Gino Tuccari; Jörg Wresnik

From October 2003 to September 2005, the International VLBI Service for Geodesy and Astrometry (IVS) examined current and future requirements for geodetic VLBI, including all components from antennas to analysis. IVS Working Group 3 “VLBI 2010”, which was tasked with this effort, concluded with recommendations for a new generation of VLBI systems. These recommendations were based on the goals of achieving 1 mm measurement accuracy on global baselines, performing continuous measurements for time series of station positions and Earth orientation parameters, and reaching a turnaround time from measurement to initial geodetic results of less than 24 h. To realize these recommendations and goals, along with the need for low cost of construction and operation, requires a complete examination of all aspects of geodetic VLBI including equipment, processes, and observational strategies. Hence, in October 2005, the IVS VLBI2010 Committee (V2C) commenced work on defining the VLBI2010 system specifications. In this paper we give a summary of the recent progress of the VLBI2010 project


Journal of Geophysical Research | 2014

Tropospheric delay ray tracing applied in VLBI analysis

David Eriksson; Daniel S. MacMillan; John Gipson

Tropospheric delay modeling error continues to be one of the largest sources of error in VLBI (very long baseline interferometry) analysis. For standard operational solutions, we use the VMF1 elevation-dependent mapping functions derived from European Centre for Medium-Range Weather Forecasts data. These mapping functions assume that tropospheric delay at a site is azimuthally symmetric. As this assumption is not true, we have instead determined the ray trace delay along the signal path through the troposphere for each VLBI quasar observation. We determined the troposphere refractivity fields from the pressure, temperature, specific humidity, and geopotential height fields of the NASA Goddard Space Flight Center Goddard Earth Observing System version 5 numerical weather model. When applied in VLBI analysis, baseline length repeatabilities were improved compared with using the VMF1 mapping function model for 72% of the baselines and site vertical repeatabilities were better for 11 of 13 sites during the 2 week CONT11 observing period in September 2011. When applied to a larger data set (2011–2013), we see a similar improvement in baseline length and also in site position repeatabilities for about two thirds of the stations in each of the site topocentric components.


The Astronomical Journal | 2016

IVS Observation of ICRF2-Gaia Transfer Sources

K. Le Bail; John Gipson; David Gordon; Daniel S. MacMillan; D. Behrend; C. C. Thomas; Sergei Bolotin; W. E. Himwich; Karen Baver; B. E. Corey; Michael Titus; G. Bourda; Patrick Charlot; A. Collioud

The second realization of the International Celestial Reference Frame (ICRF2), which is the current fundamental celestial reference frame adopted by the International Astronomical Union, is based on Very Long Baseline Interferometry (VLBI) data at radio frequencies in X band and S band. The European Space Agency’s Gaia mission, launched on 2013 December 19, started routine scientific operations in 2014 July. By scanning the whole sky, it is expected to observe ∼500,000 Quasi Stellar Objects in the optical domain an average of 70 times each during the five years of the mission. This means that, in the future, two extragalactic celestial reference frames, at two different frequency domains, will coexist. It will thus be important to align them very accurately. In 2012, the Laboratoire d’Astrophysique de Bordeaux (LAB) selected 195 sources from ICRF2 that will be observed by Gaia and should be suitable for aligning the radio and optical frames: they are called ICRF2-Gaia transfer sources. The LAB submitted a proposal to the International VLBI Service (IVS) to regularly observe these ICRF2-Gaia transfer sources at the same rate as Gaia observes them in the optical realm, e.g., roughly once a month. We describe our successful effort to implement such a program and report on the results. Most observations of the ICRF2-Gaia transfer sources now occur automatically as part of the IVS source monitoring program, while a subset of 37 sources requires special attention. Beginning in 2013, we scheduled 25 VLBI sessions devoted in whole or in part to measuring these 37 sources. Of the 195 sources, all but one have been successfully observed in the 12 months prior to 2015 September 01. Of the sources, 87 met their observing target of 12 successful sessions per year. The position uncertainties of all of the ICRF2-Gaia transfer sources have improved since the start of this observing program. For a subset of 24 sources whose positions were very poorly known, the uncertainty has decreased, on average, by a factor of four. This observing program is successful because the two main goals were reached for most of the 195 ICRF2-Gaia transfer sources: observing at the requested target of 12 successful sessions per year and improving the position uncertainties to better than 200 μas for both R.A. and decl. However, scheduling some of the transfer sources remains a challenge because of network geometry and the weakness of the sources, and this will be one focus of future sessions used in this ongoing program.


Archive | 2014

Quantifying the Correlation Between the MEI and LOD Variations by Decomposing LOD with Singular Spectrum Analysis

Karine Le Bail; John Gipson; Daniel S. MacMillan

Variations in the temporal length-of-day (LOD) contain information on phenomena related to the continuous evolution of Earth processes: tidal energy dissipation and core-mantle coupling (decadal, secular), meteorological and solar-lunar tide effects (annual, semi-annual). In this work, we studied an LOD time series obtained from VLBI measurements and extracted its principal components using the Singular Spectrum Analysis (SSA). After removing the long-term trend which explains 73. 8% of the signal, three remaining components explain a further 22. 0% of the signal: an annual and a semi-annual signals as well as a second trend. We compared the Multivariate ENSO index (MEI) with the variations in the amplitudes of the annual and semi-annual components and with the second trend. The correlations are significant: 0. 58 for the annual component, − 0. 48 for the semi-annual component and 0. 46 for the second trend.


Archive | 2014

The Construction of ICRF2 and Its Impact on the Terrestrial Reference Frame

David Gordon; K. Le Bail; Chopo Ma; Daniel S. MacMillan; Sergei Bolotin; John Gipson

The construction of the second realization of the International Celestial Reference Frame by VLBI (ICRF2) was undertaken to take advantage of the many improvements in geodetic and astrometric VLBI and the vast increase in data since the first ICRF. The impact the switch to ICRF2 has had on the terrestrial reference frame and EOP solutions generated by VLBI is very small, at about the mm level, and should be transparent to most users of VLBI products.


Archive | 2013

Comparison of Realizations of the Terrestrial Reference Frame

Chopo Ma; Daniel S. MacMillan; Sergei Bolotin; K. Le Bail; David Gordon; John Gipson

IGN and DGFI both generated realizations of the terrestrial reference frame under the auspices of the IERS from combination of the same space geodetic data. We compared the IGN and DGFI TRFs with a GSFC CALC/SOLVE TRF. WRMS position and velocity differences for the 40 most frequently observed sites were 2–3mm and 0.3–0.4mm/year. There was a scale difference of −0.39/−0.09ppb between the IGN/DGFI realizations and the GSFC solution. When we fixed positions and velocities to either the IGN or DGFI values in CALC/SOLVE solutions, the resulting EOP estimates were not significantly different from the estimates from a standard TRF solution.


The Astronomical Journal | 2004

The second extension of the International Celestial Reference Frame: ICRF-EXT.1

Alan Lee Fey; C. Ma; E. F. Arias; Patrick Charlot; M. Feissel-Vernier; A.-M. Gontier; Christopher S. Jacobs; J. Li; Daniel S. MacMillan

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John Gipson

Goddard Space Flight Center

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David Gordon

Goddard Space Flight Center

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Arthur Niell

Massachusetts Institute of Technology

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B. E. Corey

Massachusetts Institute of Technology

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Dirk Behrend

Goddard Space Flight Center

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Sergei Bolotin

Goddard Space Flight Center

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Patrick Charlot

Centre national de la recherche scientifique

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Rüdiger Haas

Chalmers University of Technology

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Chopo Ma

Goddard Space Flight Center

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Leonid Petrov

Goddard Space Flight Center

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