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Logging is like a trusty sidekick in the world of software development — always there, capturing each event, issue, and insight we need to…

In this dream, I am a deep running river with no ends Into time with no end as the snaky course I run.

Corruption or corruption is no less than a killer poison for any society. People who do bad things, they actually kill the rights of…

“Be here now” is doing wonders for my mind.

Explore essential Linux commands for managing files and directories, including how to list, create, copy, move, and delete files.

Block search engine indexing on your site in 5 simple steps using HAProxy Kubernetes Ingress Controller annotations and a robots.txt file.

Here’s How It Saves Me Precious Time Every Day

This article presents the derivation of marginal likelihood in the context of stochastic field amplitude analysis.

5 keys to super-fast writing

This article explores the equipartition of power between longitudinal and transverse modes in the context of dark matter halo formation.

You can’t waste more time being unmotivated

Picture this: You’re sharing a house with a few roommates (cores) and, to save time, each of you has your own mini-fridge (cache) stocked…

This study outlines a strategy for detecting ultralight vector dark matter, highlighting sensor behavior and guiding future experimental designs.

Explore how three-peak analysis in accelerometer studies sets exclusion limits on B − L dark matter, focusing on gauge coupling and resonance tuning.

Learn why longer observation times are important for improved dark matter detection.

Digital platforms like Twitter/X enable communication and shape our daily behaviors, emotions, and motivations. Through feedback, design…

Accelerometer studies gain from a three-peak analysis approach for vector dark matter detection, overcoming signal loss from single-peak methods

Discover how a latitude-independent, three-peak analysis enhances projected exclusion limits for vector dark matter detection

Explore how three-peak analysis and hybrid frequentist-Bayesian likelihood methods improve statistical analysis of vector dark matter signals.

Explore stochastic wave vector dark matter signals and how equipartition shapes dark photon field dynamics through non-linear gravitational clustering effects.