BACODINE The real-time BATSE gamma-ray burst coordinates distribution network

Author(s):  
S. D. Barthelmy ◽  
T. L. Cline ◽  
N. Gehrels ◽  
T. G. Bialas ◽  
M. A. Robbins ◽  
...  
1995 ◽  
Vol 231 (1-2) ◽  
pp. 235-238 ◽  
Author(s):  
S. D. Barthelmy ◽  
P. Butterworth ◽  
T. L. Cline ◽  
N. Gehrels ◽  
G. J. Fishman ◽  
...  

Author(s):  
A. Poci ◽  
K. Kuehn ◽  
T. Abbott ◽  
F. B. Abdalla ◽  
S. Allam ◽  
...  

AbstractThe Dark Energy Survey is undertaking an observational programme imaging 1/4 of the southern hemisphere sky with unprecedented photometric accuracy. In the process of observing millions of faint stars and galaxies to constrain the parameters of the dark energy equation of state, the Dark Energy Survey will obtain pre-discovery images of the regions surrounding an estimated 100 gamma-ray bursts over 5 yr. Once gamma-ray bursts are detected by, e.g., the Swift satellite, the DES data will be extremely useful for follow-up observations by the transient astronomy community. We describe a recently-commissioned suite of software that listens continuously for automated notices of gamma-ray burst activity, collates information from archival DES data, and disseminates relevant data products back to the community in near-real-time. Of particular importance are the opportunities that non-public DES data provide for relative photometry of the optical counterparts of gamma-ray bursts, as well as for identifying key characteristics (e.g., photometric redshifts) of potential gamma-ray burst host galaxies. We provide the functional details of the DESAlert software, and its data products, and we show sample results from the application of DESAlert to numerous previously detected gamma-ray bursts, including the possible identification of several heretofore unknown gamma-ray burst hosts.


2006 ◽  
Vol 118 (840) ◽  
pp. 288-296 ◽  
Author(s):  
C. Guidorzi ◽  
A. Monfardini ◽  
A. Gomboc ◽  
C. J. Mottram ◽  
C. G. Mundell ◽  
...  
Keyword(s):  

Author(s):  
B. Koti Reddy ◽  
Amit Kumar Singh

<p>Industries with co-generation plants face unprecedented problems due to penetration of renewable energy systems such as solar power on their existing distribution networks. These problems are caused by intermittent solar power. To this end, this paper provides a detailed investigation of the effects due to sudden changes in solar power on an existing industrial distribution network connected to co-generation plants. Moreover, the case studies in this work consider simultaneous operation of a large industry having co-generation captive power plant and large scale solar photovoltaic power plant. The real-time field data for the past three years are used to check the performance of solar photovoltaic power plant, load management, power quality and other concerning issues on the distribution network. In addition to the real-time data, the simulations were performed for the solar power output under different solar irradiance conditions. Moreover, these simulations are used to assess photovoltaic integration effects on a distribution system having a co-generation captive power plant. Finally, this paper put forward photovoltaic integration guidelines to industries and policymakers interested to carry out the integration studies in the future.</p>


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4999
Author(s):  
Xuejun Zheng ◽  
Shaorong Wang ◽  
Xin Su ◽  
Mengmeng Xiao ◽  
Zia Ullah ◽  
...  

The investigation of real-time dynamic behavior evaluation in the active distribution networks (ADNs) is a challenging task, and it has great importance due to the emerging trend of distributed generations, electric vehicles, and flexible loads integration. The advent of new elements influences the dynamic behavior of the electric distribution networks and increases the assessment complexity. However, the proper implementation of low-cost phasor measurement units (PMUs) together with the development of power system applications offer tremendous benefits. Therefore, this paper proposes a PMU-based multi-dimensional dynamic index approach for real-time dynamic behavior evaluation of ADNs. The proposed evaluation model follows the assessment principles of accuracy, integrity, practicability, and adaptability. Additionally, we introduced low-cost PMUs in the assessment model and implemented them for real-time and high-precision monitoring of dynamic behaviors in the entire distribution network. Finally, a complete model called the real-time dynamic characteristics evaluation system is presented and applied to the ADN. It is pertinent to mention that our proposed evaluation methodology does not rely on the network topology or line parameters of the distribution network since only the phasor measurements of node voltage and line current are involved in the dynamic index system. Thus, the presented methodology is well adaptive to different operation states of ADN despite frequent topology changes. The validation of the proposed approach was verified by conducting simulations on the modified IEEE 123-node distribution network. The obtained results verify the effectiveness and relevance of the proposed model for the real-time dynamic behavior evaluation of ADNs.


1996 ◽  
Author(s):  
S. D. Barthelmy ◽  
P. S. Butterworth ◽  
T. L. Cline ◽  
N. Gehrels ◽  
G. J. Fishman ◽  
...  

2021 ◽  
Vol 918 (2) ◽  
pp. 63
Author(s):  
Igor Andreoni ◽  
Michael W. Coughlin ◽  
Erik C. Kool ◽  
Mansi M. Kasliwal ◽  
Harsh Kumar ◽  
...  

1996 ◽  
Author(s):  
Brian Lee ◽  
Carl Akerlof ◽  
Elden Ables ◽  
Richard M. Bionta ◽  
Linda Ott ◽  
...  
Keyword(s):  

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