arXiv subjects

Manisha

Publications and source records attributed to Manisha.

23 records · Page 2Linked to original sources

arXiv2020

Coherence-induced Polarization Effects in Vector Vortex Beams

We demonstrate theoretically and experimentally coherence-induced polarization changes in generic and higher-order vector vortex beams with polarization singularity. The prominent depolarization on decreasing transverse correlation-width in focused partially coherent vector vortex beam provides a means to shape the intensity profile and the degree of polarization (DOP) while preserving the polarization distribution. The intensity variation and DOP-dip are found to be dependent on the polarization singularity index of the beam. Our results may provide an additional degree of freedom in the myriad of applications presently projected with various types of vector vortex beams.

physics.optics↗

arXiv2018

Elemental Analysis of Glass and Bakelite Electrodes Using PIXE Facility

The evolution of particle detectors dates back to the discovery of X-rays and radioactivity in 1890s. In detector history, the Resistive Plate Chambers (RPCs) are introduced in early 1980s. An RPC is a gaseous detector made up of two parallel electrodes having high resistivity like that of glass and bakelite. Currently several high energy physics experiments are using RPC-based detector system due to robustness and simplicity of construction. In each and every experiment, RPCs have to run continuously for several years. So, it demands an in-depth characterization of the electrode materials. In the present study, an elemental analysis of locally available glass and bakelite samples is done using PIXE facility available at Panjab University Cyclotron, Chandigarh. PIXE measurements are done using 2.7 MeV proton beam incident on the electrode sample target. The constituent elements present in these electrode samples are reported.

physics.ins-det↗

arXiv2017

Role of Secondary Attributes to Boost the Prediction Accuracy of Students Employability Via Data Mining

Data Mining is best-known for its analytical and prediction capabilities. It is used in several areas such as fraud detection, predicting client behavior, money market behavior, bankruptcy prediction. It can also help in establishing an educational ecosystem, which discovers useful knowledge, and assist educators to take proactive decisions to boost student performance and employability. This paper presents an empirical study that compares varied classification algorithms on two datasets of MCA (Masters in Computer Applications) students collected from various affiliated colleges of a reputed state university in India. One dataset includes only primary attributes, whereas other dataset is feeded with secondary psychometric attributes in it. The results showcase that solely primary academic attributes do not lead to smart prediction accuracy of students employability, once they square measure within the initial year of their education. The study analyzes and stresses the role of secondary psychometric attributes for better prediction accuracy and analysis of students performance. Timely prediction and analysis of students performance can help Management, Teachers and Students to work on their gray areas for better results and employment opportunities.

cs.CY↗

arXiv2016

Development and characterization of single gap glass RPC

India-based Neutrino Observatory (INO) facility is going to have a 50 kton magnetized Iron CALorimeter (ICAL) detector for precision measurements of neutrino oscillations using atmospheric neutrinos. The proposed ICAL detector will be a stack of magnetized iron plates (acting as target material) interleaved with glass Resistive Plate Chambers (RPCs) as the active detector elements. An RPC is a gaseous detector made up of two parallel electrode plates having high bulk resistivity like that of float glass and bakelite. For the ICAL detector, glass is preferred over bakelite as it does not need any kind of surface treatment to achieve better surface uniformity and also the cost of associated electronics is reduced. Under the detector R&D efforts for the proposed glass RPC detector, a few glass RPCs of 1m X 1m dimension are fabricated procuring glass of ~ 2 mm thickness from one of the Indian glass manufacturers (Asahi). In the present paper, we report the characterization of RPC based on leakage current study, muon detection efficiency and noise rate studies with varying gas compositions.

physics.ins-det↗

arXiv2016

Study of Glass and Bakelite properties as electrodes in RPCs

India-based Neutrino Observatory (INO) collaboration is planning to build a magnetized Iron-CALorimeter detector (ICAL) for the study of atmospheric neutrinos. ICAL detector will be a stack of 151 layers of magnetized iron plates interleaved with Resistive Plate Chambers (RPCs) as active detector elements with a total mass of 50 kton. Resistive Plate Chambers are gaseous detectors made up of two parallel electrodes of high bulk resistivity like float glass and bakelite. These detectors are extensively used in several high energy physics experiments since 1980s because of high count rate, excellent time as well as spatial resolutions, simple to fabricate and operate. Due to detector aging issue, it is necessary to characterize electrode material so as to select appropriate electrode material before fabricating the detector. In the present studies, we measured bulk resistivity and surface current of glass as well as bakelite. Bulk resistivity of bakelite is ~ 100 times less than that of glass and surface current of bakelite is higher than that of glass. Also glass does not need any kind of surface treatment to achieve better surface uniformity. Therefore, glass electrodes are preferred over bakelite electrodes in most of the cases. Locally manufactured Asahi glass of ~2 mm thickness and bakelite sheets were tested during the studies as reported in this paper before the various stages of detector fabrication.

physics.ins-det↗