scholarly journals The Deep Space Network: Enabling Richer Data Sets for Future Planetary Science Missions

2021 ◽  
Vol 53 (4) ◽  
Author(s):  
Brian Giovannoni ◽  
Brad Arnold ◽  
Michael Levesque ◽  
Jeff Berner ◽  
Amy Smith ◽  
...  
Keyword(s):  
Planetary Science ◽  
Data Sets ◽  
Deep Space ◽  
Deep Space Network ◽  
Space Network

scholarly journals Scheduling the NASA Deep Space Network with Deep Reinforcement Learning

2021 ◽  
Author(s):  
Edwin Goh ◽  
Hamsa Shwetha Venkataram ◽  
Mark Hoffmann ◽  
Mark D. Johnston ◽  
Brian Wilson
Keyword(s):  
Reinforcement Learning ◽  
Deep Space ◽  
Deep Space Network ◽  
Space Network

scholarly journals Deep Space Network Scheduling via Mixed-Integer Linear Programming

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 39985-39994
Author(s):  
Alex Sabol ◽  
Ryan Alimo ◽  
Farhad Kamangar ◽  
Ramtin Madani
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Deep Space ◽  
Network Scheduling ◽  
Deep Space Network ◽  
Space Network

Two Stage Gain Magnification in Beam Wave Guide Feed of Indian Deep Space Network (IDSN-32) Station

2012 ◽  
Vol 60 (7) ◽  
pp. 3481-3484
Author(s):  
V. V. Srinivasan ◽  
C. Kumar ◽  
D. Bhatnagar ◽  
V. K. Lakshmeesha ◽  
S. Pal
Keyword(s):  
Wave Guide ◽  
Deep Space ◽  
Two Stage ◽  
Deep Space Network ◽  
Beam Wave ◽  
Space Network

Mission set analysis tool for assessing future demands on NASA's Deep Space Network

2009 ◽  
Author(s):  
Bruce E. MacNeal ◽  
Douglas S. Abraham ◽  
Rolf C. Hastrup ◽  
Janet P. Wu ◽  
Richard J. Machuzak ◽  
...  
Keyword(s):  
Analysis Tool ◽  
Deep Space ◽  
Deep Space Network ◽  
Space Network ◽  
Future Demands

scholarly journals Erratum: “Discovery of Water Maser Emission in Eight AGNs with 70 m Antennas of NASA’s Deep Space Network” (ApJ, 638, 100 [2006])

2006 ◽  
Vol 649 (1) ◽  
pp. 561-561 ◽  
Author(s):  
P. T. Kondratko ◽  
L. J. Greenhill ◽  
J. M. Moran ◽  
J. E. J. Lovell ◽  
T. B. H. Kuiper ◽  
...  
Keyword(s):  
Deep Space ◽  
Deep Space Network ◽  
Maser Emission ◽  
Space Network ◽  
Water Maser

scholarly journals Precision Pulsar Timing with NASA's Deep Space Network

2015 ◽  
Vol 11 (A29B) ◽  
pp. 367-369
Author(s):  
Lawrence Teitelbaum ◽  
Walid Majid ◽  
Manuel M. Franco ◽  
Daniel J. Hoppe ◽  
Shinji Horiuchi ◽  
...  
Keyword(s):  
Low Frequency ◽  
Radio Waves ◽  
Deep Space ◽  
Radio Pulsars ◽  
Deep Space Network ◽  
Space Network ◽  
The Earth ◽  
Pulsar Timing ◽  
Initial Results ◽  
Stable Rotation

AbstractMillisecond pulsars (MSPs) are a class of radio pulsars with extremely stable rotation. Their excellent timing stability can be used to study a wide variety of astrophysical phenomena. In particular, a large sample of these pulsars can be used to detect low-frequency gravitational waves. We have developed a precision pulsar timing backend for the NASA Deep Space Network (DSN), which will allow the use of short gaps in tracking schedules to time pulses from an ensemble of MSPs. The DSN operates clusters of large dish antennas (up to 70-m in diameter), located roughly equidistant around the Earth, for communication and tracking of deep-space spacecraft. The backend system will be capable of removing entirely the dispersive effects of propagation of radio waves through the interstellar medium in real-time. We will describe our development work, initial results, and prospects for future observations over the next few years.

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