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result(s) for
"Khurana, Mani"
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Very-High-Energy Gamma-Ray Observations as a Probe to the Nature of Dark Matter and Prospects for MACE
by
Singh, Krishna Kumar
,
Netrakanti, Pawan Kumar
,
Khurana, Mani
in
Atoms & subatomic particles
,
Candidates
,
Cherenkov counters
2025
Searching for very-high-energy photons arising from dark matter interactions in selected astrophysical environments is a promising strategy to probe the existence and particle nature of dark matter. Among the many particle candidates, motivated by the extensions of the Standard Model, Weakly Interacting Massive Particles (WIMPs) are considered the most compelling candidate for the elusive dark matter in the universe. In this contribution, we report an overview of the important developments in the field of indirect searching for dark matter through cosmic gamma-ray observations. We mainly focus on the role of atmospheric Cherenkov telescopes in probing the dark matter. Finally, we emphasize the opportunities for the Major Atmospheric Cherenkov Experiment (MACE) situated in Hanle, India, to explore WIMPs in the mass range of 200 GeV to 10 TeV for Segue1 and Draco dwarf–spheroidal galaxies.
Journal Article
PyMAP: Python-Based Data Analysis Package with a New Image Cleaning Method to Enhance the Sensitivity of MACE Telescope
by
Singh, Krishna Kumar
,
Borwankar, Chinmay
,
Khurana, Mani
in
Algorithms
,
Atoms & subatomic particles
,
Cameras
2025
Observations of Very High Energy (VHE) gamma ray sources using the ground-based Imaging Atmospheric Cherenkov Telescopes (IACTs) play a pivotal role in understanding the non-thermal energetic phenomena and acceleration processes under extreme astrophysical conditions. However, detection of the VHE gamma ray signal from the astrophysical sources is very challenging, as these telescopes detect the photons indirectly by measuring the flash of Cherenkov light from the Extensive Air Showers (EAS) initiated by the cosmic gamma rays in the Earth’s atmosphere. This requires fast detection systems, along with advanced data acquisition and analysis techniques to measure the development of extensive air showers and the subsequent segregation of gamma ray events from the huge cosmic ray background, followed by the physics analysis of the signal. Here, we report the development of a python-based package for analyzing the data from the Major Atmospheric Cherenkov Experiment (MACE), which is operational at Hanle in India. The Python-based MACE data Analysis Package (PyMAP) analyzes data by using advanced methods and machine learning algorithms. Data recorded by the MACE telescope are passed through different utilities developed in the PyMAP to extract the gamma ray signal from a given source direction. We also propose a new image cleaning method called DIOS (Denoising Image of Shower) and compare its performance with the standard image cleaning method. The working performance of DIOS indicates an advantage over the standard method with an improvement of ≈25% in the sensitivity of MACE.
Journal Article
Beyond Crisis
In September 2012, the Government of India approved a financial rescue scheme to revive the power generation sector. This bailout amounted to about Rs 1.9 trillion and came in response to banks and financial institutions with large nonperforming loans to the power sector. This is the second bailout of the sector in a decade. The first was in 2002 when the government had to convert the outstanding arrears of state electricity boards to central public sector undertakings. The 2002 bailout came to Rs 400 billion in state government bonds to restore the sector to financial solvency. The recent cri
Beyond crisis
2014,2015
At the end of 2011, the Indian power sector found itself in financial crisis, just a decade after the 2001 bailout of state electricity boards (SEBs) by the central government. Bankrupt state power distribution utilities in several states were unable to pay their bills or repay their debts. Despite the passage of the landmark 2003 Electricity Act and implementation of a broad set of reforms over the past decade, the sector today is looking at another rescue from the center, four times larger than before. This financial rescue scheme amounts to about Rs 1.9 trillion (
Beyond crisis
by
Khurana, Mani
,
Banerjee, Sudeshna Ghosh
in
Economic aspects
,
Elektrizitätswirtschaft
,
Energy industries
2015
In September 2012, the Government of India approved a financial rescue scheme to revive the power generation sector. This bailout amounted to about Rs 1.9 trillion and came in response to banks and financial institutions with large nonperforming loans to the power sector. This is the second bailout of the sector in a decade. The first was in 2002 when the government had to convert the outstanding arrears of state electricity boards to central public sector undertakings. The 2002 bailout came to Rs 400 billion in state government bonds to restore the sector to financial solvency. The recent crisis and consequent bailout is more complicated than the 2002 bailout. Power sector developments in the past two decades have brought new players into a traditionally government-dominated sector, and they have also been implicated in the crisis. India has adopted transformative policy changes since the last bailout. A landmark Electricity Act was passed in 2003, superseding all previous legislation. The strategic intent of the act was to promote competition by opening all possible avenues for the procurement and sale of electric power. Subsidiary policies and enabling legislation have advanced this process. Competitive markets have evolved and attracted new investments, largely from the private sector. The institutional structure of the traditionally public sector-dominated industry has also been transformed. Aside from the entry of new private sector participants, primarily in generation, the state electricity boards (SEBs) were unbundled into generation, transmission, distribution, and, in a few cases, trading segments. State electricity regulatory commissions (SERCs) were also established in all the states. Over the next two decades, India faces immense challenges if it is to sustain the 8 to 10 percent growth rate required to end poverty and achieve human development goals. According to the Planning Commission, India needs to triple or quadruple its primary energy supply and increase its installed electricity capacity by at least five or six times its 2004 levels to meet demand in 2032. To accomplish these ambitious goals, India will need a commercially viable power sector. This report presents a diagnostic of the financial and operational performance of segments in the power sector value chain between adoption of the Electricity Act, 2003, and 2011, including the factors that contributed to the recent crisis. The report focuses on efficiency and productivity, whet ...
Beyond crisis : the financial performance of India's power sector
by
Banerjee, Sudeshna Ghosh
,
Khurana, Mani
in
Energy
,
Environment
,
Information and Communication Technologies
2014
At the end of 2011, the Indian power sector found itself in financial crisis, just a decade after the 2001 bailout of state electricity boards (SEBs) by the central government. Bankrupt state power distribution utilities in several states were unable to pay their bills or repay their debts. Despite the passage of the landmark 2003 Electricity Act and implementation of a broad set of reforms over the past decade, the sector today is looking at another rescue from the center, four times larger than before. This financial rescue scheme amounts to about Rs 1.9 trillion ($42 billion) and was instigated by the nonperforming assets of the banks and other financial institutions. The Electricity Act was envisaged to create independent companies functioning on commercial principles, but they are still far away from that goal. This report presents a diagnostic of the financial and operational performance of segments in the power sector value chain between adoption of the Electricity Act, 2003, and 2011, including analysis of the factors that contributed to the recent crisis. The report focuses on efficiency and productivity, whether performance has improved over time, and which states have emerged as performance leaders. Analysis of this kind is not new or unique, but this report aims to integrate historical performance, the current situation, future projections of the impact of worsening sector finances, and the actions that need to be taken to check the downturn. The report draws primarily from utility data collected by the Power Finance Corporation in successive years on utilities operational and financial performance. The Power Finance Corporation data were collated into a single database with the addition of various operational parameters at the plant level and the utility level from the Central Electricity Authority.
Report