72 citations · 159 across the 23 of their papers we have counts for
21 papers
Search for the origin of wobbling motion in the region: The case of Xe
S. Chakraborty, S. Bhattacharyya, R. Banik +24
In-beam -ray spectroscopy of Xe has been carried out to study the structure of the intruder band. Excited states were populated via an -induced fusion…
Rotation of pear-shaped Ru nucleus
A. Karmakar, P. Datta, Soumik Bhattacharya +14
Atomic nuclei in general can have deformed shapes and nearly all these shapes are symmetric with respect to reflection. Only a few Actinide nuclei have stable reflection asymmetric…
Understanding Excitations in Co, Ni
Samuel Ajayi, Vandana Tripathi, E. Rubino +10
High spin states in Co (), Ni () and Co have been populated by the fusion evaporation reactions, Ti(C, p2n)Co, Ti($^{14…
decay of neutron-rich Cl at magic number N=28
Soumik Bhattacharya, Vandana Tripathi, S. L. Tabor +25
Results from the study of -decay of Cl, produced in the fragmentation of a 140-MeV/u Ca beam, are presented. The half-life for Cl -decay is measured to…
Coexistence of single particle and collective excitation in Ni
Soumik Bhattacharya, Vandana Tripathi, E. Rubino +10
The high spin states in 61 Ni have been studied using the fusion evaporation reaction, Ti( C,3n) Ni at an incident beam energy of 40 MeV. A Compton suppressed multi-H…
A fast-rotating pear-shaped nucleus
A. Karmakar, P. Datta, Soumik Bhattacharya +15
The spectroscopic studies have identified few Actinide and Lanthanide nuclei of the periodic table, which can assume the pear shape. The low frequency collective rotation of these…
Shape evolution in the rapidly rotating Gd nucleus
H. Pai, S. Rajbanshi, Somnath Nag +14
Ground state band of Gd has been investigated following their population in the Sn(Cl,~p2n)Gd reaction at 195 MeV of beam energy using a large arr…
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya +1
A large fraction of data generated via human activities such as online purchases, health records, spatial mobility etc. can be represented as a sequence of events over a continuous…
A Comparative Analysis of Machine-learning Models for Solar Flare Forecasting: Identifying High-performing Active Region Flare Indicators
Suvadip Sinha, Om Gupta, Vishal Singh +9
Solar flares create adverse space weather impacting space and Earth-based technologies. However, the difficulty of forecasting flares, and by extension severe space weather, is acc…
Numerical study of track distortion in the Large Prototype TPC with end-plate based on bulk Micromegas
Deb Sankar Bhattacharya, Purba Bhattacharya, Supratik Mukhopadhyay +7
The present activities for the International Large Detector Time Projection Chamber (ILD-TPC) concern the adoption of the micro pattern devices for the gas…
Map Enhanced Route Travel Time Prediction using Deep Neural Networks
Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar +4
Travel time estimation is a fundamental problem in transportation science with extensive literature. The study of these techniques has intensified due to availability of many publi…
ChAKRA : The high resolution charged particle detector array at VECC
Samir Kundu, T. K. Rana, C. Bhattacharya +12
A large 4 array of charged particle detectors has been developed at Variable Energy Cyclotron Centre to facilitate high resolution charged particle reaction and spectroscopy stu…
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark
Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
This paper presents a new fast, highly scalable distributed matrix multiplication algorithm on Apache Spark, called Stark, based on Strassen's matrix multiplication algorithm. Star…
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark
Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh
The growth of big data in domains such as Earth Sciences, Social Networks, Physical Sciences, etc. has lead to an immense need for efficient and scalable linear algebra operations,…
Experimental Determination of / for Finite Nuclear Matter
Debasish Mondal, Deepak Pandit, S. Mukhopadhyay +9
We present, for the first time, simultaneous determination of shear viscosity () and entropy density () and thus, for equilibrated nuclear systems from 30 to…
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences
Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
Tests for Esophageal cancer can be expensive, uncomfortable and can have side effects. For many patients, we can predict non-existence of disease with 100% certainty, just using de…
Performance Studies of Bulk Micromegas of Different Design Parameters
Purba Bhattacharya, Sudeb Bhattacharya, Nayana Majumdar +4
The present work involves the comparison of various bulk Micromegas detectors having different design parameters. Six detectors with amplification gaps of $64,~128,~192,~220 ~μ\mat…
Investigation of Ion Backflow in Bulk Micromegas Detectors
Purba Bhattacharya, Deb Sankar Bhattacharya, Supratik Mukhopadhyay +5
The operation of gas detectors is often limited by secondary effects, originating from avalanche-induced photons and ions. Ion backflow is one of the effects limiting the operation…
Distributed Weighted Parameter Averaging for SVM Training on Big Data
Ayan Das, Sourangshu Bhattacharya
Two popular approaches for distributed training of SVMs on big data are parameter averaging and ADMM. Parameter averaging is efficient but suffers from loss of accuracy with increa…
Learning and Forecasting Opinion Dynamics in Social Networks
Abir De, Isabel Valera, Niloy Ganguly +2
Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often update their opinion…
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan +1
We consider the problem of Probably Approximate Correct (PAC) learning of a binary classifier from noisy labeled examples acquired from multiple annotators (each characterized by a…