piXedfit provides a compehensive set of tools for analyzing spatially resolved spectral energy distributions (SEDs) of galaxies and dissecting the spatially resolved properties of the stellar populations and dust in the galaxies. First, it can produce a pixel-matched 3D data cube from an input of a set of mutliband imaging data alone or in combination with an integral field spectroscopy (IFS) data. When IFS data is provided, it can produce a 3D spectrophotometric data cube in which spectra and photometric SEDs are combined on pixel level. Second, it has a unique pixel binning feature that can optimize the S/N ratio of SEDs on spatially resolved scales while retaining the spatial and spectral variations of the SEDs by accounting the similarity of SED shape of pixels in the binning process. This can be expected to reduce biases introduced by the binning process that combines pixels regardless of the variations in their SED shapes. Finally, piXedfit also provides a stand-alone SED fitting capability. It has two options of fitting methods: MCMC and random dense sampling of parameter space (RDSPS). Most of the modules in piXedfit have implemented MPI for parallel computation. A detailed description of piXedfit is presented in Abdurro’uf et al. (2021) . The documentation is given here . Some examples of practical usages and tutorials can be found at folder examples and recent analysis with JWST + HST images here .

Accurate Hijri Calculator (AHC) is a software for calculating the position and visibility of the crescent moon at the sunset time after the conjunction (ijtima’/new moon phase) that marks the beginning of a new month in the Islamic lunar calendar (Hijri calendar). This tool is intended for helping moslem people in estimating the start of a new Hijri month, making a calendar for coming years, comparing among the criteria of Hijri calendar, as well as educating people about the current issues regarding the Hijri calendar. This software incorporates various crescent visibility criteria currently adopted by moslem organizations around the world. AHC was firt developed in 2012 and was published at the website of the Physics Department of Brawijaya University. While the first version of AHC was built with GUI support from Delphi, now it is transformed into fully python package and can be executed on terminal (linux and windows) without GUI display. One can run AHC on Jupyter notebook to get GUI experience as shown in the example tutorial here .