Posts

From Photons to Power Spectra: Journey with Stingray.jl

-
Image
From Photons to Power Spectra: Journey with Stingray.jl The final week of Google Summer of Code is here. As I sit back and look at the codebase, it feels surreal. Three months ago, I was an undergraduate with a deep fascination for black holes, neutron stars, and the extreme physics of the cosmos. I knew I wanted to write code that would help decode the universe, but I never imagined the ride would be this thrilling. When I started my journey with Stingray.jl under the OpenAstronomy umbrella, the mission was clear: take the powerful spectral-timing capabilities of the Python Stingray library and bring them to the Julia ecosystem. Python is fantastic, but when you are dealing with millions of X-ray photons and computing averaged cross-spectra over thousands of segments, the blazing speed of Julia becomes a game-changer. This is the story of how we built a high-performance spectral timing engine, the promises we kept, the fun we had, and where we go from here. What was Promised vs. What...
Post a Comment
Read more

Rebinning Updates!

-
Image
  Updates on Rebinning in Stingray.jl Welcome back! Over the past couple of weeks, we have been working hard on expanding the capabilities of Stingray.jl. One of the key features we've recently added is data rebinning. Rebinning is an essential part of time series analysis, especially when dealing with noisy light curves or power spectra where we want to trade off some resolution for a higher signal-to-noise ratio. In this post, we'll walk through the two new rebinning functions we've introduced: rebin_data for linear rebinning and rebin_data_log for logarithmic rebinning. Linear Rebinning with rebin_data The rebin_data function allows you to linearly rebin your data array to a new, coarser resolution. You can choose to either sum or average the data points falling into the new bins using the method keyword argument. It also automatically propagates uncertainties if you provide them! Here is a quick example of how you can use it to rebin a light curve or a signal:
Post a Comment
Read more

Expanding Our Toolkit

-
Image
It’s Time for Another Update Times have have been incredibly productive and exciting. If you read my last update, you’ll know we successfully wrapped up the implementation of the Core Spectral Types. With that strong foundation in place, the real fun has begun. The Next Frontier: Advanced Methods Now that we have the core types for handling our spectral data, we've started diving into the algorithms that make Stingray so powerful for X-ray astronomers. Conquering the Lomb-Scargle Periodogram Implementing the Lomb-Scargle periodogram. For those who might not be familiar, astronomical data is notoriously messy. We rarely get perfectly, evenly-spaced observations (telescopes have down-time, Earth gets in the way, etc.). Standard Fourier transforms struggle with this unevenly sampled data. Then Enters Lomb-Scargle method! It's a lifesaver for finding periodic signals (like a pulsar spinning or a star orbiting its companion) in this kind of patchy data. Bringing this functionality ...
Post a Comment
Read more

Core Spectral Types

-
Image
  Lift off: Weeks 1 & 2 The first month of Google Summer of Code has been nothing short of a whirlwind. Here's a quick breakdown of how the first two weeks went down: Navigating the Codebase: If you've ever stared at a massive codebase and wondered where to begin, you know how my first few days felt. Getting my hands dirty made things click into place rapidly. Finishing Power Colors: My immediate target was getting the Power Colors implementation over the finish line. Classifying spectral states based on power spectral shapes is a huge deal in X-ray binaries. Porting from Python to Julia: Bringing this capability from the established Python ecosystem to our native Julia environment felt like unlocking a new superpower. Rigorous Testing: It required strict testing against established scientific benchmarks, but finally seeing those PR checks turn green was an absolute thrill. Leveling Up: Core Spectral Types: Weeks 3 & 4 With the confidence boost from the Power Colors mer...
Post a Comment
Read more