# An introduction to FITSWebQL

## TL;DR

FITSWebQL is an upgraded web service and standalone application that enables interactive visualization of large FITS data cubes with real-time spectrum analysis, predictive latency handling, and multi-file viewing capabilities.

## Contribution

This paper introduces new features like multi-file RGB composite viewing, latency prediction with Kalman filters, and a Rust-based backend for improved stability in FITSWebQL.

## Key findings

- Supports viewing of 100GB FITS files in browsers
- Implements latency prediction to enhance user experience
- Enables multi-file RGB composite visualization

## Abstract

The JVO ALMA WebQL web service - available through the JVO ALMA FITS archive - has been upgraded to include legacy data from other telescopes, for example Nobeyama NRO45M in Japan. The updated server software has been renamed FITSWebQL. In addition, a standalone desktop version supporting Linux, macOS and Windows 10 Linux Subsystem (Bash on Windows) is also available for download from http://jvo.nao.ac.jp/~chris/ . The FITSWebQL server enables viewing of even 100GB-large FITS files in a web browser running on a PC with a limited amount of RAM. Users can interactively zoom-in to selected areas of interest with the corresponding frequency spectrum being calculated on the server in near real-time. The client (a browser) is a JavaScript application built on WebSockets, HTML5, WebGL and SVG. There are many challenges when providing a web browser-based real-time FITS data cube preview service over high-latency low-bandwidth network connections. The upgraded version tries to overcome the latency issue by predicting user mouse movements with a Kalman Filter in order to speculatively deliver the real-time spectrum data at a point where the user is likely to be looking at. The new version also allows one to view multiple FITS files simultaneously in an RGB composite mode (NRO45M FUGIN only), where each dataset is assigned one RGB channel to form a colour image. Spectra from multiple FITS cubes are shown together too. The paper briefly describes main features of FITSWebQL. We also touch on some of the recent developments, such as an experimental switch from C/C++ to Rust (see https://www.rust-lang.org/) for improved stability, better memory management and fearless concurrency, or attempts to display FITS data cubes in the form of interactive on-demand video streams in a web browser.