arXiv subjects

M. Kundu

Publications and source records attributed to M. Kundu.

At least 19 recordsLinked to original sources

arXiv2023

Laser cluster interaction in external magnetic field: emergence of nearly mono-energetic weakly relativistic electron beam

Recent studies [Sci Rep 12, 11256 (2022)] on laser interaction (wavelength 800~nm, intensity $>10^{16}\, \Wcmcm$) with deuterium nano-cluster in an ambient magnetic field ($B_0$) demonstrate that collisionless absorption of laser occurs in two stages via anharmonic resonance (AHR) and electron-cyclotron resonance (ECR) or relativistic ECR (RECR) processes. Auxiliary $B_0$ enhances coupling of laser to cluster-electrons via improved frequency-matching for ECR/RECR as well as phase-matching for prolonged duration of the 5-fs (fwhm) broadband pulse and the average absorbed energy per electron $\overline{\mathcal{E}}_A$ significantly jumps up $\approx 36-70$ times of its ponderomotive energy ($\Up$). In this paper, we report energy dispersion of these energetic electrons and their angular distribution in position and momentum space by performing hybrid-PIC simulations. By simulating bigger clusters (radius $R_0 \approx 3-4$~nm) at high intensities $\approx 10^{16} - 10^{18}\,\Wcmcm$, we find $\overline{\mathcal{E}}_A\approx 36-70\,\Up$ similar to a small cluster ($R_0\approx 2$~nm), but total energy absorption increases almost linearly with increasing cluster size due to more number of available energy carriers.

physics.plasm-ph↗

arXiv2018

Collisionless absorption of short laser pulses in a deuterium cluster: dependence of redshift of resonance absorption peak on laser polarization, intensity and wavelength

We study collisionless absorption of short laser pulses of various intensity, wavelength ($λ$) and polarization in a deuterium cluster using molecular dynamics (MD) simulation. For a given laser energy and a pulse duration $\approx$ 5-fs (fwhm), it is found that maximum laser absorption does not happen at the welknown static Mie-resonance or linear resonance (LR) wavelength of $\lambdaM\approx 263$~nm (for deuterium cluster) irrespective of linear polarization (LP) and circular polarization (CP) state of laser. As the laser intensity increases, the absorption peak is gradually red-shifted to a higher $λ$ in the marginally over-dense regime of $λ\!\! \approx \!\!(1\!\!-\!\!1.5)\lambdaM$ from the expected static~$\lambdaM$ owing to gradual outer ionization and cluster expansion; and above an intensity the resonance absorption peak disappears (sometimes followed by {\em even} a growth of absorption) when outer ionization saturates at 100\% for both LP and CP. This disappearance of the resonance absorption peak should not be misinterpreted as the negligible (or no) role of Mie-resonance. In fact, in this marginally over-dense band of $λ\!\! \approx \!\!(1\!\!-\!\!1.5)\lambdaM$, some electrons undergo dynamic Mie-resonance (dynamic LR) and others anharmonic resonance when they are freed. It is also found that before the absorption peak, laser absorption due to LP and CP lasers are almost equally efficient (CP case being inappreciably higher than LP) for all intensities and $λ$. However, after the absorption peak, at lower intensities, absorption due to LP inappreciably dominates absorption due to CP with increasing~$λ$ which gradually reverses at higher intensities. MD results are also supported by a naive rigid sphere model of cluster.

physics.plasm-ph↗

arXiv2018

Dynamical resonance shift and unification of resonances in short-pulse laser cluster interaction

Pronounced maximum absorption of laser light irradiating a rare-gas or metal cluster is widely expected during the linear resonance (LR) when Mie-plasma wavelength $\lambdaM$ of electrons equals the laser wavelength $λ$. On the contrary, by performing molecular dynamics (MD) simulations of an argon cluster irradiated by short 5-fs (fwhm) laser pulses it is revealed that, for a given laser pulse energy and a cluster, at each peak intensity there exists a $λ$ -- shifted from the expected $\lambdaM$ -- that corresponds to a {\em unified dynamical} LR at which evolution of the cluster happens through very effective unification of possible resonances in various stages, including (i) the LR in the initial time of plasma creation, (ii) the LR in the Coulomb expanding phase in the later time and (iii) anharmonic resonance in the marginally over-dense regime for a relatively longer pulse duration, leading to maximum laser absorption accompanied by maximum removal of electrons from cluster and also maximum allowed average charge states for the argon cluster. Increasing the laser intensity, the absorption maxima is found to shift to a higher wavelength in the band of $λ\approx (1-1.5)\lambdaM$ than permanently staying at the expected $\lambdaM$. A naive rigid sphere model also corroborates the wavelength shift of the absorption peak as found in MD and un-equivocally proves that maximum laser absorption in a cluster happens at a shifted $λ$ in the marginally over-dense regime of $λ\approx (1-1.5)\lambdaM$ in stead of $\lambdaM$ of LR. Present study may find importance for guiding an optimal condition laser-cluster interaction experiment in the short pulse regime.

physics.plasm-ph↗

arXiv2017

Anomalous collisional absorption of laser light in plasma using particle-in-cell simulations

Collisional absorption of laser light in a homogeneous, under-dense plasma is studied by a new particle-in-cell (PIC) simulation code considering one-dimensional slab-plasma geometry. Coulomb collisions between charge particles in plasma are modeled by a Monte Carlo scheme. %[J. Comput. Phys. {\bf 25}, 205 (1977)]. %Both PIC and MC parts are individually benchmarked. For a given target thickness of a few times the wavelength of 800~nm laser of intensity $\I0$, fractional absorption ($α$) of light due to Coulomb collisions (mainly between electrons and ions) is calculated at different electron temperature $\Te$ by introducing a total velocity $v = \sqrt{\vth^2 + \v0^2}$ dependent Coulomb logarithm $\lnΛ(v)$, where $\vth$, and $\v0$ are thermal and ponderomotive velocity of an electron. It is found that, in the low temperature regime ($\Te\lesssim15$~eV), fractional absorption of light anomalously increases with increasing $I_0$ up to a maximum corresponding to an intensity $I_c$, and then it drops when $I_0>I_c$. %(approximately) obeying the conventional scaling, i.e., %$α\propto I_0^{-3/2}$ when $I_0>I_c$. Such an anomalous variation of $α$ with $I_0$ in the low intensity regime was demonstrated earlier in experiments, and recently explained by classical and quantum models [Phys. Plasmas {\bf 21}, 013302 (2014); Phys. Rev. E {\bf 91}, 043102 (2015)]. % using the total velocity dependent cut-offs. %Here, we report anomalous nature of laser absorption by Here, for the first time, we report anomalous collisional laser absorption by %PIC simulations assisted by Monte Carlo collisions, PIC simulations, thus bridging the gap between models, simulations, and experimental findings.

physics.plasm-ph↗

arXiv2016

Anharmonic resonance absorption of short laser pulses in clusters: A molecular dynamics simulation study

Linear resonance (LR) absorption of an intense 800~nm laser light in a nano-cluster requires a long laser pulse > 100~fs when Mie-plasma frequency ($\omegaMie$) of electrons in the expanding cluster matches the laser frequency~($ω$). For a short duration of the pulse the condition for LR is not satisfied. In this case, it was shown by a model and particle-in-cell (PIC) simulations [Phys. Rev. Lett. 96, 123401 (2006)] that electrons absorb laser energy by anharmonic resonance (AHR) when the position-dependent frequency $Ω[r(t)]$ of an electron in the self-consistent anharmonic potential of the cluster satisfies $Ω[r(t)]=ω$. However, AHR remains to be a debate and still obscure in multi-particle plasma simulations. Here, we identify AHR mechanism in a laser driven cluster using molecular dynamics (MD) simulations. By analyzing the trajectory of each MD electron and extracting its $Ω[r(t)]$ in the self-generated anharmonic plasma potential it is found that electron is outer ionized {\em only} when AHR is met. An anharmonic oscillator model, introduced here, brings out most of the features of MD electrons while passing the AHR. Thus, we not only bridge the gap between PIC simulations, analytical models and MD calculations for the first time but also unequivocally prove that AHR processes is a universal dominant collisionless mechanism of absorption in the short pulse regime or in the early time of longer pulses in clusters.

physics.plasm-ph↗

arXiv2010

Fuzzy Classification of Facial Component Parameters

This paper presents a novel type-2 Fuzzy logic System to define the Shape of a facial component with the crisp output. This work is the part of our main research effort to design a system (called FASY) which offers a novel face construction approach based on the textual description and also extracts and analyzes the facial components from a face image by an efficient technique. The Fuzzy model, designed in this paper, takes crisp value of width and height of a facial component and produces the crisp value of Shape for different facial components. This method is designed using Matlab 6.5 and Visual Basic 6.0 and tested with the facial components extracted from 200 male and female face images of different ages from different face databases.

cs.CV↗

arXiv2010

Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study

In this paper we present a comparative study on fusion of visual and thermal images using different wavelet transformations. Here, coefficients of discrete wavelet transforms from both visual and thermal images are computed separately and combined. Next, inverse discrete wavelet transformation is taken in order to obtain fused face image. Both Haar and Daubechies (db2) wavelet transforms have been used to compare recognition results. For experiments IRIS Thermal/Visual Face Database was used. Experimental results using Haar and Daubechies wavelets show that the performance of the approach presented here achieves maximum success rate of 100% in many cases.

cs.CV↗

arXiv2010

A Parallel Framework for Multilayer Perceptron for Human Face Recognition

Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is that it is extremely slow during training for larger classes and hence not suitable for real-time complex problems such as pattern recognition. This is an attempt to develop a parallel framework for the training algorithm of a perceptron. In this paper, two general architectures for a Multilayer Perceptron (MLP) have been demonstrated. The first architecture is All-Class-in-One-Network (ACON) where all the classes are placed in a single network and the second one is One-Class-in-One-Network (OCON) where an individual single network is responsible for each and every class. Capabilities of these two architectures were compared and verified in solving human face recognition, which is a complex pattern recognition task where several factors affect the recognition performance like pose variations, facial expression changes, occlusions, and most importantly illumination changes. Both the structures were implemented and tested for face recognition purpose and experimental results show that the OCON structure performs better than the generally used ACON ones in term of training convergence speed of the network. Unlike the conventional sequential approach of training the neural networks, the OCON technique may be implemented by training all the classes of the face images simultaneously.

cs.CV↗

arXiv2010

Classification of Fused Images using Radial Basis Function Neural Network for Human Face Recognition

Here an efficient fusion technique for automatic face recognition has been presented. Fusion of visual and thermal images has been done to take the advantages of thermal images as well as visual images. By employing fusion a new image can be obtained, which provides the most detailed, reliable, and discriminating information. In this method fused images are generated using visual and thermal face images in the first step. In the second step, fused images are projected into eigenspace and finally classified using a radial basis function neural network. In the experiments Object Tracking and Classification Beyond Visible Spectrum (OTCBVS) database benchmark for thermal and visual face images have been used. Experimental results show that the proposed approach performs well in recognizing unknown individuals with a maximum success rate of 96%.

cs.CV↗

arXiv2010

Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition

Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recognition accuracies. This class of methods includes statistical methods, artificial neural networks, support vector machines (SVM), multiple classifier combination, etc. In this paper, we discuss the characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification method, applied on Handwritten Devnagari characters. After preprocessing the character image, we extracted shadow features, chain code histogram features, view based features and longest run features. These features are then fed to Neural classifier and in support vector machine for classification. In neural classifier, we explored three ways of combining decisions of four MLP's designed for four different features.

cs.CV↗

arXiv2010

Recognition of Non-Compound Handwritten Devnagari Characters using a Combination of MLP and Minimum Edit Distance

This paper deals with a new method for recognition of offline Handwritten non-compound Devnagari Characters in two stages. It uses two well known and established pattern recognition techniques: one using neural networks and the other one using minimum edit distance. Each of these techniques is applied on different sets of characters for recognition. In the first stage, two sets of features are computed and two classifiers are applied to get higher recognition accuracy. Two MLP's are used separately to recognize the characters. For one of the MLP's the characters are represented with their shadow features and for the other chain code histogram feature is used. The decision of both MLP's is combined using weighted majority scheme. Top three results produced by combined MLP's in the first stage are used to calculate the relative difference values. In the second stage, based on these relative differences character set is divided into two. First set consists of the characters with distinct shapes and second set consists of confused characters, which appear very similar in shapes. Characters of distinct shapes of first set are classified using MLP. Confused characters in second set are classified using minimum edit distance method. Method of minimum edit distance makes use of corner detected in a character image using modified Harris corner detection technique. Experiment on this method is carried out on a database of 7154 samples. The overall recognition is found to be 90.74%.

cs.CV↗

arXiv2010

Application of Statistical Features in Handwritten Devnagari Character Recognition

In this paper a scheme for offline Handwritten Devnagari Character Recognition is proposed, which uses different feature extraction methodologies and recognition algorithms. The proposed system assumes no constraints in writing style or size. First the character is preprocessed and features namely : Chain code histogram and moment invariant features are extracted and fed to Multilayer Perceptrons as a preliminary recognition step. Finally the results of both MLP's are combined using weighted majority scheme. The proposed system is tested on 1500 handwritten devnagari character database collected from different people. It is observed that the proposed system achieves recognition rates 98.03% for top 5 results and 89.46% for top 1 result.

cs.CV↗

arXiv2010

A bright point source of ultrashort hard x-rays from laser bioplasmas

Micro and nano structures scatter light and amplify local electric fields very effectively. Energy incident as intense ultrashort laser pulses can be converted to x-rays and hot electrons more efficiently with a substrate that suitably modifies the local fields. Here we demonstrate that coating a plain glass surface with a few micron thick layer of an ubiquitous microbe, {\it Escherichia coli}, catapults the brightness of hard x-ray bremsstrahlung emission (up to 300 keV) by more than two orders of magnitude at an incident laser intensity of 10$^{16}$ W cm$^{-2}$. This increased yield is attributed to the local enhancement of electric fields around individual {\it E. coli} cells and is reproduced by detailed particle-in-cell (PIC) simulations. This combination of laser plasmas and biological targets can lead to turnkey, multi-kilohertz and environmentally safe sources of hard x-rays.

physics.optics↗

arXiv2010

Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition

In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input feature vector. To reduce that dimension here we have used eigenspace projection (also called as Principal Component Analysis), which is basically transformation of space. To reduce further we have applied feature selection method to select indispensable features, which will remain in the final feature vectors. Features those are not selected are removed from the final feature vector considering them as redundant or superfluous. For selection of features we have used the concept of reduct and core from rough set theory. This method has shown very good performance. It is worth to mention that in some cases the recognition rate increases with the decrease in the feature vector dimension.

cs.CV↗

arXiv2008

Harmonic emission from cluster nanoplasmas subject to intense short laser pulses

Harmonic emission from cluster nanoplasmas subject to short intense infrared laser pulses is studied. In a previous publication [M. Kundu et al., Phys. Rev. A 76, 033201 (2007)] we reported particle-in-cell simulation results showing resonant enhancements of low-order harmonics when the Mie plasma frequency of the ionizing and expanding cluster resonates with the respective harmonic frequency. Simultaneously we found that high-order harmonics were barely present in the spectrum, even at high intensities. The current paper is focused on the analytical modeling of the process. We show that dynamical stochasticity owing to nonlinear resonance inhibits the emission of high order harmonics.

physics.plasm-ph↗

arXiv2008

Optimizing the ionization and energy absorption of laser-irradiated clusters

It is known that rare-gas or metal clusters absorb incident laser energy very efficiently. However, due to the intricate dependencies on all the laser and cluster parameters it is difficult to predict under which circumstances ionization and energy absorption is optimal. With the help of three-dimensional particle-in-cell simulations of xenon clusters (up to 17256 atoms) we find that for a given laser pulse energy and cluster an optimum wavelength exists which corresponds to the approximate wavelength of the transient, linear Mie-resonance of the ionizing cluster at an early stage of negligible expansion. In a single ultrashort laser pulse, the linear resonance at this optimum wavelength yields much higher absorption efficiency than in the conventional, dual-pulse pump-probe set-up of linear resonance during cluster expansion.

physics.plasm-ph↗

arXiv2007

Harmonic Generation from Laser-Irradiated Clusters

The harmonic emission from cluster nanoplasmas subject to short, intense infrared laser pulses is analyzed by means of particle-in-cell simulations. A pronounced resonant enhancement of the low-order harmonic yields is found when the Mie plasma frequency of the ionizing and expanding cluster resonates with the respective harmonic frequency. We show that a strong, nonlinear resonant coupling of the cluster electrons with the laser field inhibits coherent electron motion, suppressing the emitted radiation and restricting the spectrum to only low-order harmonics. A pump-probe scheme is suggested to monitor the ionization dynamics of the expanding clusters.

physics.plasm-ph↗

arXiv2006

Collisionless energy absorption in the short-pulse intense laser-cluster interaction

In a previous Letter [Phys. Rev. Lett. 96, 123401 (2006)] we have shown by means of three-dimensional particle-in-cell simulations and a simple rigid-sphere model that nonlinear resonance absorption is the dominant collisionless absorption mechanism in the intense, short-pulse laser cluster interaction. In this paper we present a more detailed account of the matter. In particular we show that the absorption efficiency is almost independent of the laser polarization. In the rigid-sphere model, the absorbed energy increases by many orders of magnitude at a certain threshold laser intensity. The particle-in-cell results display maximum fractional absorption around the same intensity. We calculate the threshold intensity and show that it is underestimated by the common over-barrier ionization estimate.

physics.atm-clus↗