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Photometrically derived stellar masses are known to suffer from systematic uncertainties, particularly due to nebular emission contributions to the spectral energy distribution. Using \emph{JWST} NIRCam imaging from the CAnadian NIRISS Unbiased Cluster Survey (CANUCS), we introduce a comparison study of photometrically-derived redshifts and stellar masses based on two photometric catalogs of the same field spanning $\sim$0.4-4.5$\mu$m: one consisting solely of wide band photometry, and another employing a combination of wide and medium band photometry. We find that \tilda70\% of galaxies have consistent photometric redshifts between both catalogs, with median stellar mass difference between the two catalogs of \lessthan\ 0.2 dex across all redshift bins. There are however a subset of galaxies (5\% at z\tilda2 up to 15\% at z\tilda6) where wide bands underestimate star formation rates and infer older stellar populations, leading to median stellar mass differences of \tilda0.7 dex. Examination of the SEDs for galaxies with inconsistent photometric redshifts shows this is caused by the inability of the wide bands to distinguish continuum emission from emission lines. Computing a stellar mass density with our sample we find that it is potentially underestimated using wide-band photometry by \tilda10-20\% at z \lessthan\ \ 4, and potentially overestimated by as much as a factor of 2-3 at z \greaterthan\ 5. These systematic differences caused by the poor spectral resolution of wide bands have implications for both ongoing and future planned observing programs which determine stellar mass and other physical properties of high redshift galaxies solely via wide band photometry., Comment: 10 pages, 5 figures

We present the results of our analysis of multiwavelength observations for the long gamma-ray burst GRB 200829A. The burst redshift $z \approx 1.29 \pm 0.04$ has been determined photometrically at the afterglow phase. In gamma rays the event is one of the brightest (in isotropic equivalent), $E_{iso} \gtrsim 10^{54}$ erg. The multicolor light curve of the GRB 200829A afterglow is characterized by chromatic behavior and the presence of a plateau gradually transitioning into a power-law decay that can also be interpreted as a quasi-synchronous inhomogeneity (flare). We assume that the presence of a chromatic inhomogeneity in the early afterglow is consistent with the model of a structured jet., Comment: 18 pages, 14 figures

We have received a new physical characteristics fitting based on actual observational data from the Swift mission's long-duration gamma-ray bursts (LGRBs). We considered such characteristics as the Amati parameters for linear correlation ($E_\text{iso}-E_{\text{p},i}$) and the $k$-correction for gravitational lensing and Malmquist bias (GLMB) effect. We used the Pantheon SN Ia catalogue and the standard $\Lambda$CDM model with a fixed Hubble constant of $H_0=70$ km/s/Mpc as the baseline for the Hubble function $\mu(z)$. In our paper, we formulated the inverse cosmological calibration problem (ICCP) in the non-parametric statistics framework. The ICCP involves fitting non-observable physical characteristics while assuming a fixed cosmological model. To solve this problem, we developed a new method that is resistant to non-Gaussian processes. This method is based on error propagation through the Monte Carlo method and the Theil-Sen method for linear regression estimate. We have demonstrated the stability and robustness of this assessment method. The parameter estimates are as follows: $a=0.92^{+0.12}_{-0.12}$, $b=50.32^{+0.33}_{-0.32}$ without considering the GLMB effect, and $a=0.63^{+0.13}_{-0.14}$, $b=50.12^{+0.33}_{-0.31}$, and $k=1.98^{+0.25}_{-0.24}$ with the effect included. The proposed method can be applied to any other calibration sample of known standard candles, a calibrated sample of LGRBs, and the Hubble function $\mu(z)$. In the future, the ICCP idea can be used as an alternative cosmological test for estimating cosmological parameters, including the GLMB effect, or even for the selection of models, providing new information about the Universe. This can be done by analysing the residual values of observational data within the Bayesian statistics paradigm., Comment: 19 pages, 6 figures, 6 tables, MNRAS accepted

The Hubble diagram (HD) is a plot that contains luminous distance modulus presented with respect to the redshift. The distance modulus--redshift relation of the most well-known ``standard candles'', the type Ia supernovae (SN), is a crucial tool in cosmological model testing. In this work, we use the SN Ia data from the Pantheon catalogue to calibrate the Swift long gamma-ray bursts (LGRBs) as ``standard candles'' via the Amati relation. Thus, we expand the HD from supernovae to the area of the Swift LGRBs up to $z\sim8$. To improve the quality of estimation of the parameters and their errors, we implement the Monte-Carlo uncertainty propagation method. We also compare the results of estimation of the Amati parameters calibrated by the SN Ia, and by the standard $\Lambda$CDM model and find no statistically significant distinguish between them. Although the size of our LGRB sample is relatively small and the errors are high, we find this approach of expanding the cosmological distance scale perspective for future cosmological tests., Comment: 12 pages, 6 figures