Interacting dark sectors in light of DESI DR2
Published in arXiv, 2025
We do an updation of the prospects of dynamical dark energy interacting with cold dark matter in alleviating the S8 clustering tension with DESI DR2.
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Published in arXiv, 2025
We do an updation of the prospects of dynamical dark energy interacting with cold dark matter in alleviating the S8 clustering tension with DESI DR2.
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Published in arXiv, 2025
Member of Team Akashganga in the Square Kilometre Array Science Data Challenge 3a.
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Published in arXiv, 2024
We explore whether a model-independent, deep learning based, recalibration of SDSS BAO and DESI BAO datasets can help alleviate the Hubble and clustering tensions.
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Published in MNRAS, 2024
We do a careful investigation of the prospects of dark energy (DE) interacting with cold dark matter (CDM) in alleviating the S8 clustering tension.
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Published in ApJS, 2024
We investigate the prospect of reconstructing the cosmic distance ladder of the Universe using a novel deep learning framework called LADDER - Learning Algorithm for Deep Distance Estimation and Reconstruction.
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Published in MNRAS, 2024
We study how future Type-Ia supernovae (SNIa) standard candles detected by the Vera C. Rubin Observatory (LSST) can constrain some cosmological models.
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Published in ApJ, 2023
We investigate the prospects of Gaussian processes in reconstructing the Hubble parameter and the Hubble constant, using simulated data, in light of future gravitational wave missions.
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Published in JCAP, 2023
We investigate the prospects of eLISA in addressing the Hubble tension using a three-pronged approach.
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