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V. Anand

Publications and source records attributed to V. Anand.

3 recordsLinked to original sources

Development of Indigenous Pulse-Shape Discrimination Algorithm for Organic Scintillation detectors

The use of programmable hardware devices is imperative for digital based pulse shape discrimination (PSD) to differentiate between various types of radiation. This work reports the development of a PSD algorithm based on tail area and total area, eliminating the need for programmable hardware. The pulses were collected using BC501 detector and Pu-Be source from a digitizer in the oscilloscope mode. The algorithm performs crucial functions such as pulse normalization, shaping, identification and removal of multiple peaks and threshold determination. The algorithm provides neutron and gamma-ray counts, scatter plot, and FoM. In order to test the efficacy of our proposed algorithm, pulses were collected from a different source-detector setup comprising BC501A detector and an Am-Be source from a digitizer in the oscilloscope mode and Charge Integration (CI) mode. The results obtained from our proposed algorithm and CI method clearly indicates a good agreement in terms of number of neutrons and gamma-rays and Figure-of-Merit (FoM), thus providing cost-effective alternative method for neutron and gamma-ray discrimination, offering flexibility and accuracy without specialized hardware.

physics.ins-det

Neutron-Gamma Pulse Shape Discrimination for Organic Scintillation Detector using 2D CNN based Image Classification

This study shows an implementation of neutron-gamma pulse shape discrimination (PSD) using a two-dimensional convolutional neural network. The inputs to the network are snapshots of the unprocessed, digitized signals from a BC501A detector. By exposing a BC501A detector to a Cf-252 source, neutron and gamma signals were collected to create a training dataset. The realistic datasets were created using a data-driven approach for labeling the digitized signals, having classified snapshots of neutron and gamma pulses. Our algorithm was able to successfully differentiate neutrons and gammas with similar accuracy as the CI approach. Additionally, the independent dataset accuracy for our suggested 2D CNN-based PSD approach is 99%. In contrast to the traditional charge integration method, our suggested algorithm with data augmentation, is capable of extracting features from snapshots of the raw data based on the signal structures, making it computationally more efficient and also appropriate for other types of neutron detectors.

physics.ins-det

All femtosecond optical pump and X-ray probe: holey-axicon for free electron laser

We put forward a co-axial pump(optical)-probe(X-rays) experimental concept and show performance of the optical component. A Bessel beam generator with a central 100 micrometers-diameter hole (on the optical axis) was fabricated using femtosecond (fs) laser structuring inside a silica plate. This flat-axicon optical element produces a needle-like axial intensity distribution which can be used for the optical pump pulse. The fs-X-ray free electron laser (X-FEL) beam of sub-1 micrometer diameter can be introduced through the central hole along the optical axis onto a target as a probe. Different realisations of optical pump are discussed. Such optical elements facilitate alignment of ultra-short fs-pulses in space and time and can be used in light-matter interaction experiments at extreme energy densities on the surface and in the volume of targets. Full advantage of ultra-short 10 fs X-FEL probe pulses with fs-pump(optical) opens an unexplored temporal dimension of phase transitions and the fastest laser-induced rates of material heating and quenching. A wider field of applications of fs-laser-enabled structuring of materials and design of specific optical elements for astrophotonics is presented.

physics.optics