Zobrazeno 1 - 10
of 280
pro vyhledávání: '"Sharma, Kaushal"'
Autor:
Kumar, Amit, Sharma, Kaushal, Vinkó, Jozsef, Steeghs, Danny, Gompertz, Benjamin, Lyman, Joseph, Dastidar, Raya, Singh, Avinash, Ackley, Kendall, Pursiainen, Miika
We present the semi-analytical light curve modelling of 13 supernovae associated with gamma-ray bursts (GRB-SNe) along with two relativistic broad-lined (Ic-BL) SNe without GRBs association (SNe 2009bb and 2012ap), considering millisecond magnetars a
Externí odkaz:
http://arxiv.org/abs/2403.18076
Autor:
Chaini, Siddharth, Bagul, Atharva, Deshpande, Anish, Gondkar, Rishi, Sharma, Kaushal, Vivek, M., Kembhavi, Ajit
We present MargNet, a deep learning-based classifier for identifying stars, quasars and compact galaxies using photometric parameters and images from the Sloan Digital Sky Survey (SDSS) Data Release 16 (DR16) catalogue. MargNet consists of a combinat
Externí odkaz:
http://arxiv.org/abs/2211.08388
Autor:
Das, Shibu, Kumar Sharma, Kaushal, Majumder, Suranjan, Das, Debabrata, Roy Chowdhury, Indrajit
Publikováno v:
In Regional Sustainability June 2024 5(2)
Publikováno v:
In Geosystems and Geoenvironment May 2024 3(2)
Autor:
Sharma, Kaushal, Singh, Harinder P., Gupta, Ranjan, Kembhavi, Ajit, Vaghmare, Kaustubh, Shi, Jianrong, Zhao, Yongheng, Zhang, Jiannan, Wu, Yue
Theoretical stellar spectra rely on model stellar atmospheres computed based on our understanding of the physical laws at play in the stellar interiors. These models, coupled with atomic and molecular line databases, are used to generate theoretical
Externí odkaz:
http://arxiv.org/abs/2006.11463
Autor:
Sharma, Kaushal, Kembhavi, Ajit, Kembhavi, Aniruddha, Sivarani, T., Abraham, Sheelu, Vaghmare, Kaustubh
Due to the ever-expanding volume of observed spectroscopic data from surveys such as SDSS and LAMOST, it has become important to apply artificial intelligence (AI) techniques for analysing stellar spectra to solve spectral classification and regressi
Externí odkaz:
http://arxiv.org/abs/1909.05459
We present photometric and spectroscopic analysis of the Hubble Sandage variable AF And in M31. The data has been taken under the Nainital Microlensing Survey during 1998-2002 and follow-up observations were carried out until 2011. During this period
Externí odkaz:
http://arxiv.org/abs/1908.01893
Autor:
Bhardwaj, Anupam, Kanbur, Shashi, He, Shiyuan, Rejkuba, Marina, Matsunaga, Noriyuki, de Grijs, Richard, Sharma, Kaushal, Singh, Harinder P., Baug, Tapas, Ngeow, Chow-Choong, Ou, Jia-Yu
We present Period-Luminosity and Period-Luminosity-Color relations at maximum-light for Mira variables in the Magellanic Clouds using time-series data from the Optical Gravitational Lensing Experiment (OGLE-III) and {\it Gaia} data release 2. The max
Externí odkaz:
http://arxiv.org/abs/1908.01795
Publikováno v:
In Regional Studies in Marine Science January 2023 57
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