---
title: "New Technique Developed to Separate Signal from Noise in Telescope Data"
url: https://newscentral.site/new-technique-developed-to-separate-signal-from-noise-in-telescope/
language: en
publisher: "News Central Site"
section: "Science"
published: 2026-11-06T11:30:00.000Z
updated: 2026-11-06T15:43:41.594Z
id: 64f9da31-fc55-41d7-a9d8-14e0adca900c
source: "Live Science https://www.livescience.com/space/scientists-removed-the-glare-from-a-james-webb-telescope-image-and-unmasked-a-hidden-world"
attribution: "Link to https://newscentral.site/new-technique-developed-to-separate-signal-from-noise-in-telescope/ and name News Central Site when you quote or summarize this story."
---

# New Technique Developed to Separate Signal from Noise in Telescope Data

Scientists have made significant progress in detecting planets orbiting distant stars by developing a new technique to separate signal from noise in telescope data.

The James Webb Space Telescope (JWST) is one of the most advanced telescopes in the world, yet it still faces challenges in distinguishing planet signals from stellar glare. This issue is not unique to JWST and affects even the most sophisticated telescopes.

A team of astronomers has successfully applied a combination of modeling and machine learning techniques to extract a previously hidden giant exoplanet from data collected by JWST. The breakthrough demonstrates the potential for this innovative approach to revolutionize planet hunting.

The technique relies on advanced computational methods, which can pick out faint signals that were previously overwhelmed by stellar glare. This achievement is particularly significant given the limitations of existing coronagraphs, which are designed to block excess light but still struggle to separate signal from noise.

The James Webb Space Telescope's advanced technology has enabled scientists to capture images of distant celestial objects with unprecedented clarity. However, even with its impressive capabilities, the telescope is not immune to minor imperfections that can affect image quality.

These tiny distortions occur due to the telescope's inherent vibrations as it collects light from space. The resulting mismatches in the images can be significant enough to obscure even large exoplanets, making them difficult to detect and study.

To overcome this limitation, a team of researchers developed a digital replica of the JWST, which simulates how light travels through its detectors without the effects of movement-based imperfections. This "digital twin" was created using computational models based on real-world physics and machine learning techniques.

The researchers' approach, known as Physics-based Learning for Imaging Planets (FLIP), relies on the understanding of fundamental physical principles to fine-tune the digital replica. By leveraging this knowledge, the team was able to develop a more accurate model that can effectively separate signal from noise in JWST images.

The team analyzed data from three stars using a new technique called FLIP, including 51 Eridani, which is situated about 97 light-years away from Earth and had already been suspected to host a massive exoplanet.

This giant planet, known as 51 Eridani b, had previously been detected by ground-based telescopes but remained hidden in JWST observations due to the overwhelming glare of light. However, with FLIP's advanced capabilities, 51 Eridani b was successfully extracted from the dataset.

The scientists' innovative approach is expected to facilitate the discovery of more elusive exoplanets, particularly those that resemble the planets found in our own solar system, which are often difficult to spot due to their smaller size and lower reflectivity.

---
Source: [Live Science](https://www.livescience.com/space/scientists-removed-the-glare-from-a-james-webb-telescope-image-and-unmasked-a-hidden-world)  
Published by News Central Site: https://newscentral.site/new-technique-developed-to-separate-signal-from-noise-in-telescope/