Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Mitra, Ayan"'
Autor:
Abylkairov, Y. Sultan, Edwards, Matthew C., Orel, Daniil, Mitra, Ayan, Shukirgaliyev, Bekdaulet, Abdikamalov, Ernazar
We investigate the potential of using gravitational wave (GW) signals from rotating core-collapse supernovae to probe the equation of state (EOS) of nuclear matter. By generating GW signals from simulations with various EOSs, we train machine learnin
Externí odkaz:
http://arxiv.org/abs/2409.14508
In this analysis we apply a model-independent framework to test the flat $\Lambda$CDM cosmology using simulated SNIa data from the upcoming Legacy Survey of Space and Time (LSST) and combined with simulated Dark Energy Spectroscopic Instrument (DESI)
Externí odkaz:
http://arxiv.org/abs/2407.07847
In recent years, the Lambda Cold Dark Matter (LCDM) model, which has been pivotal in cosmological studies, has faced significant challenges due to emerging observational and theoretical inconsistencies. This paper explores alternative cosmological mo
Externí odkaz:
http://arxiv.org/abs/2406.06757
In this paper, we present an Artificial Neural Network (ANN) based reconstruction analysis of the Supernova Ia (SNIa) distance moduli ($\mu(z)$), and hence dark energy, using LSST simulated three-year SNIa data. Our ANN reconstruction architecture ca
Externí odkaz:
http://arxiv.org/abs/2402.18124
Autor:
Mitra, Ayan, Orel, Daniil, Abylkairov, Y. Sultan, Shukirgaliyev, Bekdaulet, Abdikamalov, Ernazar
Publikováno v:
MNRAS 529(4), 3582 (2024)
Core-collapse supernovae are sources of powerful gravitational waves (GWs). We assess the possibility of extracting information about the equation of state (EOS) of high density matter from the GW signal. We use the bounce and early post-bounce signa
Externí odkaz:
http://arxiv.org/abs/2310.15649
Publikováno v:
Mon. Not. R. Astron. Soc. 530 (3), 2627 (2024)
We study how future Type-Ia supernovae (SNIa) standard candles detected by the Vera C. Rubin Observatory (LSST) can constrain some cosmological models. We use a realistic three-year SNIa simulated dataset generated by the LSST Dark Energy Science Col
Externí odkaz:
http://arxiv.org/abs/2305.08786
Autor:
Mitra, Ayan, Kessler, Richard, More, Surhud, Hlozek, Renee, Collaboration, The LSST Dark Energy Science
We perform a rigorous cosmology analysis on simulated type Ia supernovae (SN~Ia) and evaluate the improvement from including photometric host-galaxy redshifts compared to using only the "zspec" subset with spectroscopic redshifts from the host or SN.
Externí odkaz:
http://arxiv.org/abs/2210.07560
Core-collapse supernovae (CCSNe) emit powerful gravitational waves (GWs). Since GWs emitted by a source contain information about the source, observing GWs from CCSNe may allow us to learn more about CCSNs. We study if it is possible to infer the iro
Externí odkaz:
http://arxiv.org/abs/2209.14542
Autor:
Das, Souvick, Mitra, Ayan, Sadhukhan, Sukhendu, Kumar, Amit, Das, Amitabh, Jana, Ishita, Mandal, Kalyan, Chakrabarti, Pabitra Kumar
Publikováno v:
In Journal of Alloys and Compounds 15 October 2024 1002
Publikováno v:
Phys. Rev. D 105, 083532, 2022
A convincing explanation for the nature of the dark energy and dark matter is still missing. In recent works a RG-improved swiss-cheese cosmology with an evolving cosmological constant dependent on the \sch radius has been proven to be a promising mo
Externí odkaz:
http://arxiv.org/abs/2201.02251