Fast Fourier transform to measure pressure coefficient of muons in the GRAPES-3 experiment

Mohanty, P. K.; Ahmad, S.; Antia, H. M.; Arunbabu, K. P.; Chandra, Anuj; Dugad, S.; Gupta, S. K.; Hariharan, B.; Hayashi, Y.; Jagadeesan, P.; Kawakami, S.; Kojima, Hiroshi; Morris, S. D.; Nayak, P.K.; Oshima, A.; Rao, Balkrishna C.; Reddy, L.V.; Shibata, S.

doi:10.1016/j.astropartphys.2016.02.006

Cited by 22 publications

(11 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the baseline unperturbed GMF is used to get the muons in nine directions and for IMF calculated for every four minute interval. The nine simulated profiles showed very high correlations of -0.89±0.05 between the observed and simulated 'muon burst' which is described elsewhere [5,6,7]. The above mentioned process require large scale computing as it took ∼2 months of computation time by using 1280 core GRAPES-3 computer cluster.…”

Section: Pos(icrc2019)1176mentioning

confidence: 60%

“…On 22 June 2015, GRAPES-3 muon telescope (G3MT) observed a 'muon burst' which started at 19:00 UT and lasted for two hours riding on a large Forbush decrease (minimum change of -2.5% ) and solar diurnal anisotropy variations. By using Fast Fourier Transform (FFT) analysis, this event was studied in details which is described elsewhere [5,6,7]. This phenomena is based on the assumption of lowering the cutoff rigidity (R C ), allowed more low energy cosmic rays to enter Earth and results the excess of muon flux which was observed in all nine directions simultaneously.…”

Section: Conventional Simulationmentioning

confidence: 99%

See 1 more Smart Citation

A fast and efficient technique to simulate the effects of geomagnetic storms recorded by GRAPES-3 in real-time

Zuberi¹,

Ahmad²,

Chandra³

et al. 2019

Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019)

Self Cite

View full text Add to dashboard Cite

Following the GRAPES-3 discovery of a transient weakening of Earth's magnetic shield through observation of a cosmic ray burst on 22 June 2015, we have been involved in an effort to search for more such events in 20 years of archived data. An important step in analyzing the data is to simulate the cosmic ray trajectories in the geomagnetic field influenced by the interplanetary magnetic field during a geomagnetic storm. The simulation of 22 June 2015 burst required over two months of running time on the 1280 core GRAPES-3 computer cluster in Ooty. We have developed a fast, efficient technique which has allowed us to simulate the 22 June 2015 event in a fraction of a second with the same resolution as the earlier computational-intensive method. This has laid the foundation for quick analysis of a large number of such events in archival data, and of future events virtually in real-time. Details of this method will be presented during the conference.

show abstract

Section: Pos(icrc2019)1176mentioning

confidence: 60%

Section: Conventional Simulationmentioning

confidence: 99%

A fast and efficient technique to simulate the effects of geomagnetic storms recorded by GRAPES-3 in real-time

Zuberi¹,

Ahmad²,

Chandra³

et al. 2019

Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019)

Self Cite

View full text Add to dashboard Cite

show abstract

“…This double-cut procedure ensured the removal of sections of low-quality data [22,25]. Thereafter, the muon rates were converted into a percent change with respect to their six year mean after correcting for atmospheric pressure variations [38,39]. The data still contained slow variations caused by the 27 day, the annual, the 11 year, and 22 year solar cycles as well as faster effects such as the sidereal and solar diurnal variations.…”

Section: Data Analysis and Discussionmentioning

confidence: 99%

Measurement of the radial diffusion coefficient of galactic cosmic rays near the Earth by the GRAPES-3 experiment

et al. 2018

Self Cite

View full text Add to dashboard Cite

“…The flux variation in the PCR caused due to various phenomenon as mentioned above could be studied through the measurement of muon flux. In addition, muon flux is also modulated by the atmospheric parameters such as pressure and temperature [1,2]. Study of the muon flux variation during thunderstorms has emerged as an exciting area [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling of rigidity dependent CORSIKA simulations for GRAPES-3

et al. 2019

Self Cite

View full text Add to dashboard Cite

The GRAPES-3 muon telescope located in Ooty, India records 4×10 9 muons daily. These muons are produced by interaction of primary cosmic rays (PCRs) in the atmosphere. The high statistics of muons enables GRAPES-3 to make precise measurement of various sun-induced phenomenon including coronal mass ejections (CME), Forbush decreases, geomagnetic storms (GMS) and atmosphere acceleration during the overhead passage of thunderclouds. However, the understanding and interpretation of observed data requires Monte Carlo (MC) simulation of PCRs and subsequent development of showers in the atmosphere. CORSIKA is a standard MC simulation code widely used for this purpose. However, these simulations are time consuming as large number of interactions and decays need to be taken into account at various stages of shower development from top of the atmosphere down to ground level. Therefore, computing resources become an important consideration particularly when billion of PCRs need to be simulated to match the high statistical accuracy of the data. During the GRAPES-3 simulations, it was observed that over 60% of simulated events don't really reach the Earth's atmosphere. The geomagnetic field (GMF) creates a threshold to PCRs called * Corresponding authors

show abstract

Fast Fourier transform to measure pressure coefficient of muons in the GRAPES-3 experiment

Cited by 22 publications

References 30 publications

A fast and efficient technique to simulate the effects of geomagnetic storms recorded by GRAPES-3 in real-time

A fast and efficient technique to simulate the effects of geomagnetic storms recorded by GRAPES-3 in real-time

Measurement of the radial diffusion coefficient of galactic cosmic rays near the Earth by the GRAPES-3 experiment

Modeling of rigidity dependent CORSIKA simulations for GRAPES-3

Contact Info

Product

Resources

About