Income Spectrum Research Articles

Prediction and visualization of 3D wake field of a rectangular high-rise building in tropical island cities based on UAV measurements

It is especially crucial to utilize measured data as samples to increase the accuracy of wind field prediction. However, scarce wake field measured data of high-rise buildings leads to the deviation between prediction results and the actual wake distribution. In this study, a six-rotor unmanned aerial vehicle wind measurement system (UAVWMS) equipped with an anemometer is used to measure the wake field of a rectangular high-rise building in a tropical island city, and the characteristics of fluctuating wind velocity spectra and distribution patterns of the wind velocity and turbulence intensity in the wake region are analyzed; the Kriging method is adopted to predict and visualize the three-dimensional (3D) wake field based on the measured data from UAVWMS. The results show that the exponential law is better than the logarithmic law in fitting the incoming wind velocity profile in the tropical island city. The measured points in the wake region, located near the central axis of the building, exhibit a pronounced reduction in wind velocity and an increase in turbulence intensity compared to those in the incoming region. Compared to the incoming wind velocity spectra and empirical spectra, the peak frequencies of wake wind velocity spectra shift to the high-frequency band. In addition, the wake wind velocity spectra are lower in the low-frequency band and higher in the high-frequency band. When designing a measured scheme based on UAVWMS, it's crucial to place measured points surrounding the target spatial wake field as much as possible. It helps enhance the accuracy of predicting wind parameters within the 3D spatial wake field. The research results provide a theoretical reference for the measurement, prediction and visualization of the wake field of high-rise buildings in dense urban buildings.

The Reign of Racialized Residential Sorting: Gentrification and Residential Mobility in the Twenty-First Century

Despite recent theoretical advances in explaining the persistence of segregation in the United States through structural sorting processes, how the spread and intensification of gentrification intersects with these processes is less clear. Drawing on the 2000–2017 waves of the Panel Study of Income Dynamics (PSID) and fixed effects logistic and linear regression models, we examine gentrification’s relationship with residential mobility patterns and whether this relationship is racially stratified. We do not find evidence that living in gentrifying neighborhoods is associated with higher rates of moving for lower-income respondents compared to those living in nongentrifying neighborhoods nor does this differ by race. However, we find starkly different locational outcomes between Black and White movers across the income spectrum, rather than the gentrification status of one’s neighborhood. We argue that processes of racial stratification in the housing market largely govern residential outcomes, regardless of gentrification.

X-ray occultations in active galactic nuclei: Physical properties of eclipsing clouds as part of the broad-line region cloud ensemble

Context. Short-term X-ray variability in active galactic nuclei (AGNs) can be explained as being due to varying X-ray absorption induced by the temporary occultation of the primary X-ray source, when moving absorbing clouds cross the line of sight to the X-ray source itself. Earlier work suggests that these absorbing clouds have physical properties similar to those of broad-line region (BLR) emitting clouds and are located in the same spatial region. Aims. We intend to extract physical information on each individual absorber associated with any given occultation event detected in our sample and to analyse general properties of the cloud ensemble whose components can produce X-ray eclipses. Methods. From the analysis of previously detected occultation events, two ‘observables’ characterising each single occultation event can be derived: the peak fractional hardness ratio variation (ΔHR/HR) and the duration of the event normalised by a characteristic eclipse timescale evaluated for each AGN source. To determine the eclipsing cloud properties, we devised a procedure a) based on simplifying assumptions on the geometry of both the X-ray source and the cloud-like gas condensations, and on the cloud X-ray absorbing properties in the energy range of interest (2–10 keV), and b) relying on a set of simulated instrumental responses from both XMM and Suzaku relevant instruments to different incoming X-ray spectra, absorbed with varying absorber column density and maximum covering factor during the occultation. Thus, we derived information on the individual cloud producing any given occultation event, determining the cloud radius normalised to that of the X-ray source, the spatial location of the cloud, and an estimate of the cloud gas number density for reasonable values of the equivalent absorber column density. Results. The physical properties of eclipsing clouds that we obtained are consistent with those of BLR clouds. We can exclude the dominance, in the ensemble cloud size distribution, of clouds larger than about 10–12 times the Schwarzschild radius characterising each AGN, and we do not find any significant dependence of the cloud physical size on the distance from the central black hole, in agreement with the results of our previous work. As for the number density of these gas condensations, with our procedure we obtained values within a range of ∼109 − 1011 cm−3, which is consistent with the estimates derived from broad emission line analysis.

Identification of Distorted Gamma-Ray Signature Patterns Using Digital Filtering and Auto-Associative Memory Implemented with a Hopfield Neural Network

The detection and identification of radioactive sources in search applications involve analyzing passive gamma-ray emissions from high-level radioactive materials. This process uses a mobile detector-spectrometer in a complex field test environment. Recently, the use of artificial intelligence for gamma-ray spectrum analysis has shown promising results. However, challenges persist in identifying isotopic signatures from spectral measurements that may be distorted due to source shielding, random variations in natural radioactive background, or insufficient measurement time to obtain clear spectral lines. This paper presents a novel intelligent signature recognition method that combines digital filtering techniques with an artificial Hopfield Neural Network (HNN). The HNN leverages auto-associative memory to store training sample patterns and match them with incoming gamma spectra from distorted sources. It restores the testing sources’ measurements by finding the closest matching signature patterns in the spectral library. Before HNN recognition, the measured spectrum undergoes preprocessing with a digital image filter to reduce fluctuations. Performance of the proposed method is evaluated using a set of gamma-ray spectra measured with a sodium iodide detector. The data collected include measurements from six pure samples: 241Am, 60Co, 137Cs, 192Ir, 239Pu, and 235U, which are used for training and validation (i.e. six cases). Additionally, the data set contains 24 distorted synthesized sources with various fluctuating backgrounds. Test results demonstrate the potential of the proposed method to accurately recognize the correct isotope with high precision, achieving an accuracy rate exceeding 85%. Furthermore, the proposed method exhibits superior performance compared to the conventional multiple regression fitting and simple feedforward neural network methods.

Uncovering measurement bias: Differential item functioning by income in the Couples Satisfaction Index.

Relationship satisfaction is among the most popular constructs in family science. As the study of families and romantic couples continues to include more diverse samples, it is imperative to ensure the measures scholars use do not significantly vary in psychometric quality across groups. The goal of this study was to examine the psychometric utility of the four-item Couples Satisfaction Index (CSI-4; Funk & Rogge, 2007) for individuals across the income spectrum. This study uses data from the National Couples' Health and Time Study, which sampled married and cohabiting adults in the United States from late 2020 to early 2021. Differential item functioning in the CSI-4 was assessed based on income (N = 3,497) using item response theory. For individuals experiencing lower incomes, the CSI-4 demonstrated differential functioning compared to their more affluent peers, with a bias against individuals experiencing lower incomes equating to average scores 1.38 units lower than higher income participants on the CSI-4 despite having the same true levels of relationship satisfaction. Differential item functioning was less pronounced when comparing item performance of lower- and middle-income participants, equating to lower income participants scoring .21 units lower than middle-income individuals despite having the same true levels of relationship satisfaction. While advancing diversity in family science, researchers should employ psychometric methods to understand how measures perform across groups, which will help prevent the misinterpretation of statistical bias as real group differences. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Advancements in Remote Compressive Hyperspectral Imaging: Adaptive Sampling with Low-Rank Tensor Image Reconstruction

We advanced the practical development of compressive hyperspectral cameras for remote sensing scenarios with a design that simultaneously compresses and captures high-quality spectral information of a scene via configurable measurements. We built a prototype imaging system that is compatible with light-modulation devices that encode the incoming spectrum. The sensing approach enables a substantial reduction in the volume of data collected and transmitted, facilitating large-scale remote hyperspectral imaging. A main advantage of our sensing design is that it allows for adaptive sampling. When prior information of a survey region is available or gained, the modulation patterns can be re-programmed to efficiently sample and detect desired endmembers. Given target spectral signatures, we propose an optimization scheme that guides the encoding process. The approach severely reduces the number of required sampling patterns, with the ability to achieve image segmentation and correct distortions. Additionally, to decode the modulated data, we considered a novel reconstruction algorithm suited for large-scale images. The computational methodology leverages the multidimensional structure and redundant representation of hyperspectral images via the canonical polyadic decomposition of multiway arrays. Under realistic remote sensing scenarios, we demonstrated the efficiency of our approach with several data sets collected by our prototype camera and reconstructed by our low-rank tensor decoder.

Neutron spectroscopy for Boron Neutron Capture Therapy beams characterization

Boron Neutron Capture Therapy (BNCT) is a therapeutic treatment for malignant tumors that utilizes the nuclear reactions that happen when thermal neutrons are captured by boron-10 atoms to selectively destroy designated cells. Boron-10 atoms are biochemically accumulated inside the tumor target, which is then irradiated with thermal neutrons.In recent years, the possibility to obtain accelerator based intense neutron beams has given a boost to the diffusion of BNCT also in Europe, removing the need of nuclear reactors. In this contest, the monitoring and characterization of the epithermal neutron beams dedicated to BNCT becomes an important issue.The directional neutron spectrometer called NCT-WES (Neutron Capture Therapy Wide Energy Spectrometer) is a single moderator neutron spectrometer composed of a polyethylene cylinder embedding six semiconductor-based detectors positioned at different depths along the cylinder axes. The position of the six detectors is studied in order to maximize the response of each one in a selected neutron energy range. The unfolding of the six simultaneous readings allows to reconstruct the incoming neutron energy spectrum as in a parallelized Bonner Sphere System. A cylindrical collimator situated in the front of the spectrometer makes the instrument sensitive to neutrons coming only from a given direction, which allows to exclude the contribution of the room scattered radiation. The experimental validation of the spectrometer, obtained through several measuring campaigns, is reported and discussed.

Equity implications of tobacco taxation: results from WHO FCTC investment cases

BackgroundAcross time, geographies and country income levels, smoking prevalence is highest among people with lower incomes. Smoking causes further impoverishment of those on the lower end of the income spectrum...

Trends in Income Inequities in Cardiovascular Health Among US Adults, 1988-2018.

Mean cardiovascular health has improved over the past several decades in the United States, but it is unclear whether the benefit is shared equitably. This study examined 30-year trends in cardiovascular health using a suite of income equity metrics to provide a comprehensive picture of cardiovascular income equity. The study evaluated data from the 1988-2018 National Health and Nutrition Examination Survey. Survey groupings were stratified by poverty-to-income ratio (PIR) category, and the mean predicted 10-year risk of a major cardiovascular event or death based on the pooled cohort equations (PCE) was calculated (10-year PCE risk). Equity metrics including the relative and absolute concentration indices and the achievement index-metrics that assess both the prevalence and the distribution of a health measure across different socioeconomic categories-were calculated. A total of 26 633 participants aged 40 to 75 years were included (mean age, 53.0-55.5 years; women, 51.9%-53.0%). From 1988-1994 to 2015-2018, the mean 10-year PCE risk improved from 7.8% to 6.4% (P<0.05). The improvement was limited to the 2 highest income categories (10-year PCE risk for PIR 5: 7.7%-5.1%, P<0.05; PIR 3-4.99: 7.6%-6.1%, P<0.05). The 10-year PCE risk for the lowest income category (PIR <1) did not significantly change (8.1%-8.7%). In 1988-1994, the 10-year PCE risk for PIR <1 was 6% higher than PIR 5; by 2015-2018, this relative inequity increased to 70% (P<0.05). When using metrics that account for all income categories, the achievement index improved (8.0%-7.1%, P<0.05); however, the achievement index was consistently higher than the mean 10-year PCE risk, indicating the poor persistently had a greater share of adverse health. In this serial cross-sectional survey of US adults spanning 30 years, the population's mean 10-year PCE risk improved, but the improvement was not felt equally across the income spectrum.

Numerical modeling of time dependent Diffusive Shock Acceleration

Motivated by cosmic ray (CR) re-acceleration at a potential Galactic Wind Termination Shock (GWTS), we present a numerical model for time-dependent Diffusive Shock Acceleration (DSA). We use the stochastic differential equation solver (DiffusionSDE) of the cosmic ray propagation framework CRPropa3.2 with two modifications: An importance sampling module is introduced to improve statistics at high energies in order to keep the simulation time short. An adaptive time step is implemented in the DiffusionSDE module. This ensures to efficiently meet constraints on the time and diffusion step, which is crucial to obtain the correct shock spectra. The time evolution of the spectrum at a one-dimensional planar shock is verified against the solution obtained by the grid-based solver VLUGR3 for both energy-independent and energy-dependent diffusion. We show that the injection of pre-accelerated particles can lead to a broken power law spectrum in momentum if the incoming spectrum of CRs is harder than the re-accelerated spectrum. If the injected spectrum is steeper, the shock spectrum dominates at all energies. We finally apply the developed model to the GWTS by considering a spherically symmetric shock, a spiral Galactic magnetic field, and anisotropic diffusion. The time-dependent spectrum at the shock is modeled as a basis for further studies.

Labour share and income inequalities in the European Union, taking into account the level of development of economies

Research background: The relationship between labour share and income inequality is a complex and multifaceted problem. Despite ongoing discussions among economists, there is still no consensus on the direction of the relationship between labour share and income inequality. Purpose of the article: The article aims to assess the impact of labour share on income inequality, which is measured in three ways: the Gini index of gross income, the Gini index of market incomes, and the Gini index of household disposable income. Methods: Dynamic panel data models were applied to estimate the relationship between Gini coefficients and socio-economic indicators. The study investigated 25 European Union countries over the 2011–2021 period. Findings &amp; value added: Despite the long convergence process of the EU economies, there is still great diversity in the labour share, social inequalities, and the interplay between these factors. The added value of this research is the indication of labour share impact on three Gini measures covering a diverse income spectrum (from labour and capital). Based on the research findings, hypothesis 1, claiming that the more developed the national economy, the lower the share of employment income, favouring capital gains, is confirmed. Hypothesis 2 (as the share of income from work increases, the Gini coefficient of gross incomes decreases) must be rejected. There is no significant relationship between labour share and the studied Gini measures in 'old' EU countries. In 'new' EU members, there is a reverse relationship than assumed in hypothesis 2. The growth of the Gini coefficient was influenced by the rise in labour share, which can be attributed to the diversity in economic structures.

Evaluation of subgrid scale models in turbulent large eddy simulations of pumpjet propulsor

To assess the effectiveness of subgrid scale (SGS) models on the prediction results of unsteady loads and turbulent fluctuation of pumpjet propulsors equipped with both front and rear stators, a pumpjet propulsor computational model with attached parts at the model scale is developed using a fully structured mesh, and large eddy simulations are conducted. The computational results of the different SGS models are compared based on five aspects: open water characteristics, turbulence parameters, incoming turbulence spectrum, vortex structure, and fluctuating pressure. Their results are also compared with the experimental values, and the correlation between the internal flow characteristics of the pumpjet propulsor and the turbulent fluctuation is analyzed. According to the results, as regards the prediction of the open water performance of the pumpjet propulsor containing both front and rear stators, the overall trend obtained by the three subgrid models is similar, and the error between the values predicted by the SL model and the experimental ones is the smallest. At the same mesh level, the turbulent fluctuating scale obtained by the SL model is larger than that obtained by the WALE and DSL models, and the turbulent time scale obtained by the DSL model has the smallest fluctuation in the circumferential direction. Among the three SGS models, the turbulent fluctuating scale of the SL model is larger than those of the WALE and DSL models. The SL model exhibits the largest energy dissipation among the three SGS models, followed by the DSL model, while that of the WALE model is the smallest. In the WALE model, the leakage vortex at the top of the blade is the longest, followed by the DSL model, while it is the shortest in the SL model. In the WALE and DSL models, the fluctuating load fluctuates more in the transition region from the middle section to the trailing edge of the blade.

Risk perceptions of individuals living in single-parent households during the COVID-19 crisis: examining the mediating and moderating role of income.

The COVID-19 crisis had severe social and economic impact on the life of most citizens around the globe. Individuals living in single-parent households were particularly at risk, revealing detrimental labour market outcomes and assessments of future perspectives marked by worries. As it has not been investigated yet, in this paper we study, how their perception about the future and their outlook on how the pandemic will affect them is related to their objective economic resources. Against this background, we examine the subjective risk perception of worsening living standards of individuals living in single-parent households compared to other household types, their objective economic situation based on the logarithmised equivalised disposable household incomes and analyse the relationship between those indicators. Using the German SOEP, including the SOEP-CoV survey from 2020, our findings based on regression modelling reveal that individuals living in single-parent households have been worse off during the pandemic, facing high economic insecurity. Path and interaction models support our assumption that the association between those indicators may not be that straightforward, as there are underlying mechanisms-such as mediation and moderation-of income affecting its direction and strength. With respect to our central hypotheses, our empirical findings point toward (1) a mediation effect, by demonstrating that the subjective risk perception of single-parent households can be partly explained by economic conditions. (2) The moderating effect suggests that the concrete position at the income distribution of households matters as well. While at the lower end of the income distribution, single-parent households reveal particularly worse risk perceptions during the pandemic, at the high end of the income spectrum, risk perceptions are similar for all household types. Thus, individuals living in single-parent households do not perceive higher risks of worsening living standards due to their household situation per se, but rather because they are worse off in terms of their economic situation compared to individuals living in other household types.

A Study on Preferential Buying Pattern of Whirlpool Washing Machine in Tambaram

Electronics provides a means of generating and enhancing consumers' overall enjoyment for their regular day-to-day lives at home. With the purpose of making many durable products in that line, consumer electronics produce an enormous amount of clothing washing machines. While there are several brands of electronic washing machines, Whirlpool is the most popular one on the market. This research examines Tambaram's penchant for purchasing Whirlpool washing machines. 150 houses in the study area were selected between May and June 2023 using a practical sampling technique. Regression analysis, basic correlation, and other necessary methods are used. The interpretations made during the study and analysis are what led to the findings and observations. The shifting purchasing habits of consumers in the digital era across a broad spectrum of income, standard of living, designs, aspirations, and wants are also a key determinant in the construction of new facilities for technology-driven goods.

Does vulnerable employment narrow income inequality? Evidence from developing countries

Most people at the lower end of the income spectrum in developing countries rely on vulnerable employment for their survival. In the absence of alternative sources of income, vulnerable employment narrows income inequality (inequality) by providing income to these workers. This study examines this assertion by using data from a panel of 65 developing countries covering 1995-2019. The empirical analysis is based on dynamic panel data models. Two critical findings emerge from this study. First, in developing countries, vulnerable employment reduces inequality, although the reduction is quite marginal. Second, vulnerable employment has a gender-specific effect on narrowing inequality. Specifically, male vulnerable employment has a greater impact on reducing inequality than its female counterpart. In light of the efforts of developing countries to reduce inequality (SDG 10) and to provide decent work for all (SDG 8), this study is of particular importance.

Optimization of a‐Si Thin‐Film Solar‐Cell Performance with Passivation and c‐Si Cap Layer

A modified design of the a‐Si thin‐film solar cell (TFSC) is presented. The c‐Si cap layer is introduced to increase the photon absorption and hence the enhanced photo carriers increase the overall short‐circuit current. Whereas, the highly doped a‐Si passivation layer reduces the minority carrier flow and recombination at the rear side of the cell, and therefore the passivation layer is used to improve the open‐circuit voltage (). The performance optimization and investigation of the cell characteristic is executed using the numerical simulation methodology. To further enhance the cell efficiency, the thickness and doping concentration of the c‐Si cap and a‐Si passivation layer are optimized. The improvement in absorption and passivation quality of the cell leads to the enhancement of in short‐circuit current density and improvement in the , respectively. The designed a‐Si TFSC absorbs the incoming solar spectrum from to of wavelength and rest of the spectrum is transmitted. The external and internal quantum efficiency of the cell is well over . The optimized efficiency of is obtained for the designed cap layered a‐Si passivated cell in AM1.5 G environment using ray‐tracing methodology.

Behavioural nudges for water conservation in unequal settings: Experimental evidence from Cape Town

This study addresses the use of behavioural nudges in reducing households' use of water across a large sample (>360,000 households) of domestic users. The impacts of several behavioural interventions are estimated for residential water consumption in Cape Town, South Africa, during the onset of a three-year drought considered to have been the worst in a century. Since income distribution is a key issue in South Africa, the paper also examines whether average treatment effects are heterogeneous across the income spectrum. Behavioural messages did affect water use, with an average reduction of between 0.6 and 1.3 per cent across the various treatments after 6 months. The most effective nudges were those that officially recognised a household's water conservation efforts (social recognition) and those that appealed to households to act in the public interest (public good). Between-treatment test results indicate that social recognition significantly outperformed other treatments. Treatment effects were sensitive to income distribution; specifically, wealthier households were more responsive to social incentives such as public recognition of water conservation, appeals to the public good, and social norm comparisons, while financial feedback nudges also drive behaviour in the low-middle income range. Households in the lowest income group were unresponsive to the nudges. Overall, behavioural nudges played a role in reducing households' water consumption in the City of Cape Town and particularly in wealthier households that typically consume significantly more water. Our results show that the long-term reductions in water usage were over and above those attributable to rising tariffs and increasingly stringent physical restrictions and campaigns introduced as the drought unfolded.

Borexino’s search for low-energy neutrinos associated with gravitational wave events from GWTC-3 database

The search for neutrino events in correlation with gravitational wave (GW) events for three observing runs (O1, O2 and O3) from 09/2015 to 03/2020 has been performed using the Borexino data-set of the same period. We have searched for signals of neutrino-electron scattering and inverse beta-decay (IBD) within a time window of pm , 1000 s centered at the detection moment of a particular GW event. The search was done with three visible energy thresholds of 0.25, 0.8 and 3.0 MeV. Two types of incoming neutrino spectra were considered: the mono-energetic line and the supernova-like spectrum. GW candidates originated by merging binaries of black holes (BHBH), neutron stars (NSNS) and neutron star and black hole (NSBH) were analyzed separately. Additionally, the subset of most intensive BHBH mergers at closer distances and with larger radiative mass than the rest was considered. In total, follow-ups of 74 out of 93 gravitational waves reported in the GWTC-3 catalog were analyzed and no statistically significant excess over the background was observed. As a result, the strongest upper limits on GW-associated neutrino and antineutrino fluences for all flavors (nu _e, nu _mu , nu _tau ) at the level 10^9{-}10^{15}~textrm{cm}^{-2},textrm{GW}^{-1} have been obtained in the 0.5–5 MeV neutrino energy range.

Paid Care for People with Functional Impairment and Serious Illness: Results from the Health and Retirement Study.

Paid caregivers (e.g., home health aides) care for individuals living at home with functional impairment and serious illnesses (health conditions with high risk of mortality that impact function and quality of life). To characterize those who receive paid care and identify factors associated with receipt of paid care in the context of serious illness and socioeconomic status. Retrospective cohort study. Community-dwelling participants ≥ 65years enrolled in the Health and Retirement Study (HRS) between 1998 and 2018 with new-onset functional impairment (e.g., bathing, dressing) and linked fee-for-service Medicare claims (n = 2521). Dementia was identified using HRS responses and non-dementia serious illness (e.g., advanced cancer, end-stage renal disease) was identified using Medicare claims. Paid care support was identified using HRS survey report of paid help with functional tasks. While about 27% of the sample received paid care, those with both dementia and non-dementia serious illnesses in addition to functional impairment received the most paid care (41.7% received ≥ 40h of paid care per week). In multivariable models, those with Medicaid were more likely to receive any paid care (p < 0.001), but those in the highest income quartile received more hours of paid care (p = 0.05) when paid care was present. Those with non-dementia serious illness were more likely to receive any paid care (p < 0.001), but those with dementia received more hours of care (p < 0.001) when paid care was present. Paid caregivers play a significant role in meeting the care needs of those with functional impairment and serious illness and high paid care hours are common among those with dementia in particular. Future work should explore how paid caregivers can collaborate with families and healthcare teams to improve the health and well-being of the seriously ill throughout the income spectrum.

GaAs0.95P0.05 single junction solar cell with InP QW in p-i-n region for sub-bandgap photon absorption

To improve the the absorption of the incoming light spectrum in the cell, the bandgap modulation is performed in the cell. such a cell is designed here, with the help of quantum well region of InP material and GaInP barrier region. The bandgap engineered GaAsP solar cell having the bandgap of 1.48 eV is utilized along with the InP quantum well material with bandgap energy of 1.35 eV. The quantum well absorbs the lower bandgap photon energy, which improves the photo carriers. A type-A bandgap structure is formed in the quantum well region, which results in enhanced utilization of lower bandgap photon energy. The Analysis show the significant absorption of the incoming light spectrum, which reflects in the improvement of the current density. The trade-off between the short circuit current and open circuit voltage, which happens due to the bandgap modulation, leads to the 20% drop in the open circuit voltage. But, due to larger improvement of 31.06% in the short circuit current leads to the improvement of 4.75% in overall efficiency of the cell. The quantum efficiency of the cell is well above 90%. The bandgap modulated quantum well solar cell achieves 25.76% efficiency for the formation of the p-i-n region. AM1.5 G environment under 1-Sun spectrum is used to illuminate the designed solar cell.