5 citations · 14 across the 7 of their papers we have counts for
7 papers · 1 filter
Stellar parameters and abundances for 3.2 million DESI DR1 spectra using machine learning
Nagaraj Vernekar, Michael Hayden, Sara Lucatello
We present a machine-learning pipeline for determining stellar parameters and chemical abundances from spectra observed by the Dark Energy Spectroscopic Instrument (DESI). Building…
A Detailed Model Atmosphere Analysis of Cool White Dwarfs in DESI DR1
Mukremin Kilic, Pierre Bergeron, Simon Blouin +9
We present a detailed model atmosphere analysis of cool white dwarfs in the Dark Energy Spectroscopic Instrument Data Release 1 (DESI DR1). Our sample includes 25,642 unique target…
LRPayne: Stellar parameters and abundances from low-resolution spectra
Nagaraj Vernekar, Lorenzo Spina, Sara Lucatello +4
Aims. This paper introduces LRPayne, a novel algorithm designed for the efficient determination of stellar parameters and chemical abundances from low-resolution optical spectra, w…
Stellar Population Astrophysics (SPA) with the TNG: NLTE atmospheric parameters and abundances of giant stars in 33 Open Clusters
M. Dal Ponte, V. D'Orazi, A. Bragaglia +11
Open clusters serve as important tools for accurately studying the chemical evolution of the Milky Way. By combining precise chemical data from high-resolution spectra with informa…
Stellar population astrophysics (SPA) with the TNG. Abundance analysis of nearby red giants and red clump stars: combining high resolution spectroscopy and asteroseismology
Nagaraj Vernekar, Sara Lucatello, Angela Bragaglia +4
Context: Asteroseismology, a powerful approach for obtaining internal structure and stellar properties, requires surface temperature and chemical composition information to determi…
UOCS-XI. Study of blue straggler stars in open cluster NGC 7142 using UVIT/AstroSat
Anju Panthi, Kaushar Vaidya, Nagaraj Vernekar +3
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 Ga…
Photometric variability of blue straggler stars in M67 with TESS and K2
Nagaraj Vernekar, Annapurni Subramaniam, Vikrant V. Jadhav +1
Blue straggler stars (BSSs) are formed through mass transfer or mergers in binaries. The recent detections of white dwarf (WD) companions to BSSs in M67 suggested a mass transfer p…