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Browsing by Author "Panthi, Anju"

Browsing by Author "Panthi, Anju"

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  • Rao, Khushboo K; Vaidya, Kaushar; Agarwal, Manan; Panthi, Anju; Jadhav, Vikrant V (Oxford University Press on behalf of Royal Astronomical Society, 2022-10)
    Ultraviolet (UV) wavelength observations have made a significant contribution to our understanding of hot stellar populations of star clusters. Multiwavelength spectral energy distributions (SEDs) of stars, including ...
  • Panthi, Anju; Subramaniam, A; Vaidya, Kaushar; Jadhav, Vikrant V; Sharmila Rani; Sivarani, T; Pandey, Sindhu (Oxford University Press on behalf of Royal Astronomical Society, 2023-10)
    Blue metal-poor (BMP) stars are the main-sequence stars that appear bluer and more luminous than normal turn-off stars of metal-poor globular clusters. They are believed to be either field blue straggler stars (FBSS) formed ...
  • Vaidya, Kaushar; Panthi, Anju; Agarwal, Manan; Pandey, Sindhu; Khushboo Rao, K; Jadhav, Vikrant V; Subramaniam, A (Oxford University Press on behalf of Royal Astronomical Society, 2022-04)
    NGC 7789 is a ∼1.6 Gyr old, populous open cluster located at ∼2000 pc. We characterize the blue straggler stars (BSS) of this cluster using the Ultraviolet (UV) data from the UVIT/AstroSat. We present spectral energy ...
  • Panthi, Anju; Vaidya, Kaushar; Vernekar, Nagaraj; Subramaniam, A; Jadhav, Vikrant; Agarwal, Manan (Oxford University Press on behalf of Royal Astronomical Society, 2024-01)
    We present a study of blue straggler stars (BSSs) of open cluster NGC 7142 using AstroSat/UVIT data and other archival data. Using a machine-learning-based algorithm, ML-MOC, on Gaia DR3 data, we find 546 sources as cluster ...
  • Panthi, Anju; Vaidya, Kaushar; Jadhav, Vikrant V; Khushboo Rao, K; Subramaniam, A; Agarwal, Manan; Pandey, Sindhu (Oxford University Press on behalf of Royal Astronomical Society, 2022-11)
    We study an intermediate-age open cluster (OC) NGC 2506 using the ASTROSAT/UVIT data and other archival data. We identified 2175 cluster members using a machine learning-based algorithm, ML–MOC, on Gaia EDR3 data. Among ...

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