The History of Early Low Frequency Radio Astronomy in Australia. 4: Kerr, Shain, Higgins and the Hornsby Valley Field Station Near Sydney

2023

Preprint

This research paper provides an in-depth analysis of the solar system usinga technique called hydrogen line radio data analysis. This method involvesstudying the spectral line emitted by neutral hydrogen atoms, known as thehydrogen line or the 21-centimeter line. Astronomers use this technique toexamine the distribution and characteristics of hydrogen gas within the universe.The researchers examined hydrogen line radio data from a range of sources inthis study to investigate the properties of hydrogen gas throughout the solarsystem. The emphasis was on identifying the presence of hydrogen gas in thesolar system's planets, moons, and other objects. Their findings revealed thathydrogen gas is found in numerous solar system objects, including the big planetsJupiter, Saturn, Uranus, and Neptune, as well as their moons. Furthermore,the researchers discovered hydrogen gas in comets and asteroids, indicatingthe presence of water, ice, and other volatile molecules. Overall, this researchdemonstrates the usefulness of hydrogen line radio data analysis in exploringthe properties of hydrogen gas within the solar system. It provides importantinsights into the composition and evolution of the solar system, and could alsobe applied to studying planetary systems beyond our own.

Section: Parabolic Antenna:-mentioning

confidence: 99%

Exploring the Solar System through Hydrogen Line Sprectum Radio Data Analysis

Dutta¹,

2023

Preprint

“…We could then use the Gaussian Equation to model this perturbation and estimate the probability of an exoplanet being present based on the observed deviation from the expected distribution. [17,21] Another approach could be to use machine learning algorithms to analyze the data and identify patterns that are indicative of the presence of an exoplanet. This would involve training the model on a large dataset of known exoplanets and non-exoplanet systems, [23] and using the HI-INDEX as one of the features to classify new systems as either containing an exoplanet or not.…”

Section: Mathematical Modelmentioning

confidence: 99%

Detecting Exoplanets in Multiplanetary Systems using HI Line Analysis through Gaussian Fitting

Dutta¹,

2023

Preprint

The paper describes the detection of exoplanets in multiplanetary systems using HI line data is an approach in astronomy. Traditional methods for detecting exoplanets have limitations in terms of sensitivity and range, which makes it difficult to detect small and distant planets. We propose a mathematical model based on the analysis of the HI line emission and absorption spectra to predict the presence of exoplanets.The model is based on fitting the observed HI line profile to a Gaussian distributionf(v)=Aexp[-(v-vθ)2/(2δv2)]+δf(v) where δf(v) is the perturbation caused by the exoplanet. The amplitude of the perturbation depends on the mass, orbital distance, and other properties of the exoplanet. and searching for significant deviations that may indicate the presence of an exoplanet.The chi-squared statistic,x2, measures the difference between the observed and expected HI line profiles: x2=∑n=1∞2-n=1[fobs(v)-fexp(v)]2/σ2. The deviation caused by the exoplanet can be quantified using a perturbation term in the Gaussian distribution. The amplitude of the perturbation depends on the mass, orbital distance, and other properties. We use statistical tests such as the chi-squared test to measure the significance of the deviation and estimate the properties of the exoplanet and the Extragalactic distance scale.

“…It can also be used to detect exoplanets through their gravitational influence on the surrounding interstellar medium. [15,17] By observing the frequency of the HI line, astronomers can potentially detect the presence of exoplanets that are too small or too far away to be detected by traditional methods such as the radial velocity method and the transit method. The development of a mathematical model to predict the existence of exoplanets using the HI line represents an exciting advancement in the search for exoplanets and has the potential to significantly improve our understanding of exoplanetary systems.…”

Section: Hydrogen Linementioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

Detecting Exoplanets in Multiplanetary Systems using HI Line Analysis through Gaussian Fitting

Dutta¹,

2023

Preprint

The paper describes the detection of exoplanets in multiplanetary systems using HI line data is an approach in astronomy. Traditional methods for detecting exoplanets have limitations in terms of sensitivity and range, which makes it difficult to detect small and distant planets. We propose a mathematical model based on the analysis of the HI line emission and absorption spectra to predict the presence of exoplanets.The model is based on fitting the observed HI line profile to a Gaussian distribution f(v) = Aexp[−(v − vθ) 2 /(2δv2 )] + δf(v) where δf(v) is the perturbation caused by the exoplanet. The amplitude of the perturbation depends on the mass, orbital distance, and other properties of the exoplanet. and searching for significant deviations that may indicate the presence of an exoplanet.The chi-squared statistic,x 2 , measures the difference between the observed and expected HI line profiles: x 2 = P∞ n=1 2 −n = 1[fobs(v) − fexp(v)]2 /σ2 . The deviation caused by the exoplanet can be quantified using a perturbation term in the 19 Gaussian distribution. The amplitude of the perturbation depends on the mass, orbital distance, and other properties. We use statistical tests such as the chi-squared test to measure the significance of the deviation and estimate the properties of the exoplanet and the Extragalactic distance scale.