Search Results for author: S. Chatterjee

Found 13 papers, 1 papers with code

Network strategies to study Epstein-Barr virus associated carcinomas and potential etiological mechanisms for oncogenesis

no code implementations31 Jul 2022 S. Chatterjee, B. S. Sanjeev

Based on the DisGeNET (v7. 0) data set, we constructed a disease-gene network bipartite graph to identify genes that are involved in various carcinomas namely, gastric cancer (GC), nasopharyngeal cancer (NPC), Hodgkin's lymphoma (HL) and Burkitt's lymphoma (BL).

Community Detection

Constraining Galaxy Haloes from the Dispersion and Scattering of Fast Radio Bursts and Pulsars

no code implementations12 Jan 2021 S. K. Ocker, J. M. Cordes, S. Chatterjee

We compare our analysis of the Milky Way halo with other galaxy haloes by placing limits on the scattering contributions from haloes intersecting the lines-of-sight to FRB 181112 and FRB 191108.

Astrophysics of Galaxies High Energy Astrophysical Phenomena

A sample of low energy bursts from FRB 121102

no code implementations6 Mar 2019 K. Gourdji, D. Michilli, L. G. Spitler, J. W. T. Hessels, A. Seymour, J. M. Cordes, S. Chatterjee

The bursts are generally detected in less than a third of the 580-MHz observing bandwidth, demonstrating that narrow-band FRB signals may be more common than previously thought.

High Energy Astrophysical Phenomena

A Radio Source Coincident with the Superluminous Supernova PTF10hgi: Evidence for a Central Engine and an Analogue of the Repeating FRB121102?

no code implementations29 Jan 2019 T. Eftekhari, E. Berger, B. Margalit, P. K. Blanchard, L. Patton, P. Demorest, P. K. G. Williams, S. Chatterjee, J. M. Cordes, R. Lunnan, B. D. Metzger, M. Nicholl

We present the detection of an unresolved radio source coincident with the position of the Type I superluminous supernova (SLSN) PTF10hgi ($z=0. 098$) about 7. 5 years post-explosion, with a flux density of $F_\nu(6\,\,{\rm GHz)}\approx 47. 3\ \mu Jy$ and a luminosity of $L_\nu(6\,\,{\rm GHz})\approx 1. 1\times 10^{28}$ erg s$^{-1}$ Hz$^{-1}$.

High Energy Astrophysical Phenomena

The NANOGrav 11-year Data Set: Solar Wind Sounding Through Pulsar Timing

no code implementations21 Aug 2018 D. R. Madison, J. M. Cordes, Z. Arzoumanian, S. Chatterjee, K. Crowter, M. E. DeCesar, P. B. Demorest, T. Dolch, J. A. Ellis, R. D. Ferdman, E. C. Ferrara, E. Fonseca, P. A. Gentile, G. Jones, M. L. Jones, M. T. Lam, L. Levin, D. R. Lorimer, R. S. Lynch, M. A. McLaughlin, C. M. F. Mingarelli, C. Ng, D. J. Nice, T. T. Pennucci, S. M. Ransom, P. S. Ray, R. Spiewak, I. H. Stairs, K. Stovall, J. K. Swiggum, W. Zhu

We filter out long time scale DM fluctuations attributable to structure in the interstellar medium and carry out a simultaneous analysis of all pulsars in our sample that can differentiate the correlated signature of the wind from signals unique to individual lines of sight.

Solar and Stellar Astrophysics

Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS

no code implementations12 Jul 2018 C. E. Petrillo, C. Tortora, S. Chatterjee, G. Vernardos, L. V. E. Koopmans, G. Verdoes Kleijn, N. R. Napolitano, G. Covone, L. S. Kelvin, A. M. Hopkins

We have tested the ConvNet lens-finders on a sample of 21789 Luminous Red Galaxies (LRGs) selected from KiDS and we have analyzed and compared the results with our previous ConvNet lens-finder on the same sample.

Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Optimal Frequency Ranges for Sub-Microsecond Precision Pulsar Timing

no code implementations6 Oct 2017 M. T. Lam, M. A. McLaughlin, J. M. Cordes, S. Chatterjee, T. J. W. Lazio

We also find that arrival-time precision can be improved by increases in total bandwidth.

High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics

Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features

no code implementations5 Apr 2017 S Pratiher, S. Chatterjee, R Bose

In fractal geometry, Multifractal Detrended Fluctuation Analysis MFDFA is a popular technique to examine the self-similarity of a nonlinear, chaotic and noisy time series.

Classification EEG +3

Finding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks

3 code implementations24 Feb 2017 C. E. Petrillo, C. Tortora, S. Chatterjee, G. Vernardos, L. V. E. Koopmans, G. Verdoes Kleijn, N. R. Napolitano, G. Covone, P. Schneider, A. Grado, J. McFarland

The volume of data that will be produced by new-generation surveys requires automatic classification methods to select and analyze sources.

Astrophysics of Galaxies

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