of width $\Delta \nu_c$ and correlator integration time $\Delta t_{c}$ is given by (for single polarization), $$\sqrt{\left< N^2 \right>} = \frac{\sqrt{2} k_B T_{\rm sys}}{A_{\rm eff} \sqrt{\Delta \nu_{c} ~ \Delta t_{c}}},
\label{rms_noise}$$ where $A_{\rm eff}$ is the effective collecting area of each antenna and $T_{\rm sys}$ is the system temperature. Here we have chosen $\Delta t_{c}=10$ sec. The steps to generate the noise maps are given below:

-   First, we generate Gaussian random noise (both the real and imaginary parts) with zero mean and rms $\sqrt{\left< N^2 \right>}$ in the $N_{\rm pixel}\times N_{\rm pixel}$ grid in the Fourier space.

-   The presence of multiple baselines in a $uv$ grid point can be used to decrease the noise in that pixel. We account for this by simply scaling the noise in $(i,j)$th pixel by a factor $1/\sqrt{n^{i,j}_{\rm B}}$.[^11]

-   By averaging over long observation time $t_{\rm obs}$, one can decrease the noise further by a factor of $\sqrt{t_{\rm obs}/t_{\rm obs}^{uv}}$, which is done in this work as well.

-   As mentioned earlier, the presence of empty pixels in the two-dimensional baseline distribution is accounted for by including a mask which is zero at the empty pixels and unity otherwise.

-   We obtain 