14 citations · 26 across the 16 of their papers we have counts for
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Exploring Machine Learning Regression Models for Advancing Foreground Mitigation and Global 21cm Signal Parameter Extraction
Anshuman Tripathi, Abhirup Datta, Gursharanjit Kaur
Extracting parameters from the global 21cm signal is crucial for understanding the early Universe. However, detecting the 21cm signal is challenging due to the brighter foreground…
ELAIS-N1 deep field uGMRT Band-2: constraints on diffuse Galactic synchrotron emission power spectrum
Rashmi Sagar, Abhirup Datta, Arnab Chakraborty +13
We present high sensitivity, low radio frequency continuum observations of the ELAIS-N1 field with 32 hours of observations of the uGMRT Band-2 ( MHz) covering $5.86\,\tex…
Mitigating gain calibration errors from EoR observations with SKA1-Low AA*
Eeshan Beohar, Abhirup Datta, Anshuman Tripathi +2
The observations of the redshifted 21-cm signal from neutral hydrogen are a promising probe for understanding the Cosmic Dawn and the Epoch of Reionisation (EoR). One of the primar…
Impact of Calibration and Position Errors on Astrophysical Parameters of the HI 21cm Signal
Anshuman Tripathi, Abhirup Datta, Aishrila Mazumder +1
The Epoch of Reionization (EoR) and Cosmic Dawn (CD) are pivotal stages during the first billion years of the universe, exerting a significant influence on the development of cosmi…