scholarly journals A new data analysis framework for the search of continuous gravitational wave signals

2018 ◽  
Vol 36 (1) ◽  
pp. 015008 ◽  
Author(s):  
O J Piccinni ◽  
P Astone ◽  
S D’Antonio ◽  
S Frasca ◽  
G Intini ◽  
...  
2008 ◽  
Vol 678 (2) ◽  
pp. 1142-1157 ◽  
Author(s):  
T. Z. Summerscales ◽  
Adam Burrows ◽  
Lee Samuel Finn ◽  
Christian D. Ott

2016 ◽  
Vol 12 (S324) ◽  
pp. 287-290
Author(s):  
Barbara De Lotto ◽  
Stefano Ansoldi ◽  
Angelo Antonelli ◽  
Alessio Berti ◽  
Alessandro Carosi ◽  
...  

AbstractThe year 2015 witnessed the first direct observations of a transient gravitational-wave (GW) signal from binary black hole mergers by the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) Collaboration with the Virgo Collaboration. The MAGIC two 17m diameter Cherenkov telescopes system joined since 2014 the vast collaboration of electromagnetic facilities for follow-up of gravitational wave alerts. During the 2015 LIGO-Virgo science run we set up the procedure for GW alerts follow-up and took data following the last GW alert. MAGIC results on the data analysis and prospects for the forthcoming run are presented.


10.14311/1718 ◽  
2013 ◽  
Vol 53 (1) ◽  
Author(s):  
Aleksander Filip Żarnecki ◽  
Lech Wiktor Piotrowski ◽  
Lech Mankiewicz ◽  
Sebastian Małek

The Luiza analysis framework for GLORIA is based on the Marlin package, which was originally developed for data analysis in the new High Energy Physics (HEP) project, International Linear Collider (ILC). The HEP experiments have to deal with enormous amounts of data and distributed data analysis is therefore essential. The Marlin framework concept seems to be well suited for the needs of GLORIA. The idea (and large parts of the code) taken from Marlin is that every computing task is implemented as a processor (module) that analyzes the data stored in an internal data structure, and the additional output is also added to that collection. The advantage of this modular approach is that it keeps things as simple as possible. Each step of the full analysis chain, e.g. from raw images to light curves, can be processed step-by-step, and the output of each step is still self consistent and can be fed in to the next step without any manipulation.


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