activity
19932024
most citedCalibration of the Large Area X-ray Proportional Counter (LAXPC) instrument on-board AstroSat

197 citations · 2.9k across the 142 of their papers we have counts for

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7 papers · 1 filter

astro-ph.IM2021★ 15 cited

An alternative scheme to estimate AstroSat/LAXPC background for faint sources

Ranjeev Misra, Jayashree Roy, J. S. Yadav

An alternative scheme is described to estimate the layer 1 LAXPC 20 background for faint sources where the source contribution to the 50-80 keV count rate is less than 0.25 counts/…

astro-ph.IM2021★ 56 cited

Large Area X-ray Proportional Counter (LAXPC) in Orbit Performance : Calibration, background, analysis software

H. M. Antia, P. C. Agrawal, Dhiraj Dedhia +8

The Large Area X-ray Proportional Counter (LAXPC) instrument on-board AstroSat has three nominally identical detectors for timing and spectral studies in the energy range of 3--80…

astro-ph.IM2017★ 105 cited

Large Area X-ray Proportional Counter (LAXPC) Instrument on AstroSat and Some Preliminary Results from its performance in the orbit

P. C. Agrawal, J. S. Yadav, H. M. Antia +25

Large Area X-ray Propositional Counter (LAXPC) instrument on AstroSat is aimed at providing high time resolution X-ray observations in 3 to 80 keV energy band with moderate energy…

astro-ph.IM2017★ 24 cited

Large Area X-ray Proportional Counter (LAXPC) Instrument on AstroSat

J. S. Yadav, P. C. Agrawal, H. M. Antia +3

Large Area X-ray Proportional Counter (LAXPC) is one of the major AstroSat payloads. LAXPC instrument will provide high time resolution X-ray observations in 3 to 80 keV energy ban…

astro-ph.IM2017★ 197 cited

Calibration of the Large Area X-ray Proportional Counter (LAXPC) instrument on-board AstroSat

H. M. Antia, J. S. Yadav, P. C. Agrawal +21

We present the calibration and background model for the Large Area X-ray Proportional Counter (LAXPC) detectors on-board AstroSat. LAXPC instrument has three nominally identical de…

astro-ph.IM2015★ 5 cited

Autoencoding Time Series for Visualisation

Nikolaos Gianniotis, Dennis Kügler, Peter Tino +2

We present an algorithm for the visualisation of time series. To that end we employ echo state networks to convert time series into a suitable vector representation which is capabl…