27 citations · 54 across the 15 of their papers we have counts for
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Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using Data-driven Systematic Effect Model
Li-Yang Gao, Léon V. E. Koopmans, Florent G. Mertens +11
Neutral hydrogen (HI) serves as a crucial probe for the Cosmic Dawn and the Epoch of Reionization (EoR). Actual observations of the 21-cm signal often encounter challenges such as…
Exploring the effect of different cosmologies on the Epoch of Reionization 21-cm signal with POLAR
Anshuman Acharya, Qing-bo Ma, Sambit K. Giri +8
A detection of the 21-cm signal power spectrum from the Epoch of Reionization is imminent, thanks to consistent advancements from telescopes such as LOFAR, MWA, and HERA, along wit…
Revised LOFAR upper limits on the 21-cm signal power spectrum at using Machine Learning and Gaussian Process Regression
Anshuman Acharya, Florent Mertens, Benedetta Ciardi +3
The use of Gaussian Process Regression (GPR) for foregrounds mitigation in data collected by the LOw-Frequency ARray (LOFAR) to measure the high-redshift 21-cm signal power spectru…
Inferring IGM parameters from the redshifted 21-cm Power Spectrum using Artificial Neural Networks
Madhurima Choudhury, Raghunath Ghara, Saleem Zaroubi +8
The high redshift 21-cm signal promises to be a crucial probe of the state of the intergalactic medium (IGM). Understanding the connection between the observed 21-cm power spectrum…
Probing the intergalactic medium during the Epoch of Reionization using 21-cm signal power spectra
Raghunath Ghara, Abinash Kumar Shaw, Saleem Zaroubi +9
The redshifted 21-cm signal from the epoch of reionization (EoR) directly probes the ionization and thermal states of the intergalactic medium during that period. In particular, th…
Spectral fit residuals as an indicator to increase model complexity
Anshuman Acharya, Vinay L. Kashyap
Spectral fitting of X-ray data usually involves minimizing statistics like the chi-square and the Cash statistic. Here we discuss their limitations and introduce two measures based…