A planet is about to be destroyed by the collapse of a binary star system in Slow Gods, Claire North's first venture into classic science fiction. It's bad luck for those living on Adjumir, which is set to be obliterated Claire North is a successful and prolific novelist, writing under three separate names, but this is their first shift into classic science fiction, i.e. a novel with spaceships in it. I loved the title of this book, Slow Gods, and I loved the cover art. All of which is to say that I went in with high hopes. It begins: "My name is Mawukana na-Vdnaze, and I am a very poor copy of myself."

With nearly two billion stars observed and their corresponding astrometric parameters evaluated in the recent Gaia mission, the number of astrometric binary candidates have risen significantly. Due to the surplus of astrometric data, the current computational methods employed to inspect these astrometric binary candidates are both computationally expensive and cannot be executed in a reasonable time frame. In light of this, a machine learning (ML) technique to automatically classify whether a set of stars belong to an astrometric binary pair via an artificial neural network (ANN) is proposed. Using data from Gaia DR3, the ANN was trained and tested on 1.5 million highly probable true and visual binaries, considering the proper motions, parallaxes, and angular and physical separations as features. The ANN achieves high classification scores, with an accuracy of 99.3%, a precision rate of 0.988, a recall rate of 0.991, and an AUC of 0.999, indicating that the utilized ML technique is a highly effective method for classifying astrometric binaries. Thus, the proposed ANN is a promising alternative to the existing methods for the classification of astrometric binaries.

With a particular focus on Scipy's minimize function the eclipse mapping method is thoroughly researched and implemented utilizing Python and essential libraries. Many optimization techniques are used, including Sequential Least Squares Programming (SLSQP), Nelder-Mead, and Conjugate Gradient (CG). However, for the purpose of examining photometric light curves these methods seek to solve the maximum entropy equation under a chi-squared constraint. Therefore, these techniques are first evaluated on two-dimensional Gaussian data without a chi-squared restriction, and then they are used to map the accretion disc and uncover the Gaussian structure of the Cataclysmic Variable KIC 201325107. Critical analysis is performed on the code structure to find possible faults and design problems. Additionally, the analysis shows how several factors impacting computing time and image quality are included including the variance in Gaussian weighting, disc image resolution, number of data points in the light curve, and degree of constraint.

In recent announcement by NASA, the James Webb Space Telescope (JWST) science team released five spectacular images in its first science package. Astronomers, researchers and scientists smarter and more educated than me have spent a lot of time providing their thoughts on what we can see in each of these images. But let's take a moment to look at what NASA released and understand why NASA chose this set of images for the first science release. Image 1 – The spikes seen above are not artistic, but rather an artifact of the actual telescope. One of the unique characteristics that will grace nearly every image taken from the JWST will be the iconic "diffraction spikes" that appear around stars in an image.