Variable Chaplygin Gas: Constraints from Supernovae, GRB and Gravitational Wave Merger Events

We investigate the cosmological constraints on the Variable Chaplygin gas model from the latest observational data: SCP Union 2.1 compilation dataset of Type Ia supernovae (SNe Ia), Pantheon sample of SNe Ia, Platinum Sample of Gamma Ray Bursts (GRB) and GWTC-3 of gravitational wave merger events. Variable Chaplygin gas is a model of interacting dark matter and dark energy, which interpolates from a dust-dominated era to a quintessence-dominated era. The Variable Chaplygin gas model is shown to be compatible with Type Ia Supernovae and gravitational merger data. We have obtained tighter constraints on cosmological parameters $B_s$ and $n$, using the Pantheon sample. By using the Markov chain Monte Carlo (MCMC) method on the Pantheon sample, we obtain $B_s$=0.108 $\pm$ 0.034, n=1.157 $\pm$ 0.513 and $H_0$=70.020 $\pm$ 0.407, for GRBs, we obtain $B_s$=0.20 $\pm$ 0.11, n=1.45 $\pm$ 1.40 and $H_0$=70.41 $\pm$ 0.67} and on GWTC-3, we obtain $B_s$=0.130 $\pm$ 0.076, n=0.897 $\pm$ 1.182 and $H_0$=69.838 $\pm$ 3.007. The combined constraints from the above data sets are $B_s$=0.11 $\pm$ 0.03, n=1.14 $\pm$ 0.36 and $H_0$=70.34 $\pm$ 0.61Comment: Accepted for publication by Astrophysics and Space Science. 22 pages, 11 figures and 4 table

Assessment of socio-clinical profile of neonates admitted in sick neonatal care unit of tertiary care hospital: Odisha

Background: Neonatal mortality rate of 29 and early neonatal mortality rate is 20 which contributes 53% of IMR. India targets to achieve single digit under 5 and neonatal death by 2030. Early identification and management of common morbidities among neonates is desirable for improving the survival. Therefore, this study was conducted with the aim of assessing socio-clinical profile of neonates admitted to SNCU and its impact on morbidities of newborn from different strata.Methods: A cross sectional study was conducted in SNCU of MKCG medical college from January 2016 to December 2016. Convenient sampling was done. Data was collected using pre-designed semi structured questionnaire.Results: Total 752 study subjects were taken. Most common cause of admission was sepsis (47.4%) followed by prematurity (27.8%), birth asphyxia (13.9%) and IUGR (7.5%). Majority of out born neonates were admitted for sepsis (87.9%) while in born neonates for birth asphyxia (81.9%). All the morbidities were significantly higher among early neonates, babies born to illiterate mother and those with inadequate antenatal check-up.Conclusions: Majority of babies were out born, may be due to delay and lack of quality new born care in the referring facilities. Sepsis was most common preventable morbidity by simple intervention of clean delivery practices which should be promoted. Birth asphyxia can be reduced by adequate skill development training of the staffs and minimising the 3 delays maternal care

Cosmological Constraints on a Power Law Universe

Linearly coasting cosmology is comfortably concordant with a host of cosmological observations. It is surprisingly an excellent fit to SNe Ia observations and constraints arising from age of old quasars. In this article we highlight the overall viability of an open linear coasting cosmological model.The model is consistent with the latest SNe Ia ``gold'' sample and accommodates a very old high-redshift quasar, which the standard cold-dark model fails to do.Comment: 10 pages, 2 figure

Variable Chaplygin Gas: Constraints from CMBR and SNe Ia

We constrain the parameters of the variable Chaplygin gas model, using the location of peaks of the CMBR spectrum and SNe Ia ``gold '' data set. Equation of state of the model is $P=-A(a)/\rho$, where $A(a)=A_0 a^{-n}$ is a positive function of the cosmological scale factor $a$, $A_0$ and $n$ being constants. The variable Chaplygin gas interpolates from dust-dominated era to quintessence dominated era. The model is found to be compatible with current type Ia Supernovae data and location of first peak if the values of $\Omega_m$ and $n$ lie in the interval $[0.017,~0.117]$ and $[-1.3,~2.6]$ respectively.Comment: 9 pages,4 figure