Cloud Modeling of a Network Region in H-alpha

TL;DR

This study uses spectroscopic observations and cloud modeling to analyze the physical properties and temporal behavior of dark mottles in the solar chromospheric network, revealing dominant periodic signals.

Contribution

It applies cloud modeling to H-alpha spectroscopic data to derive detailed physical parameters of chromospheric mottles, including their temporal dynamics.

Findings

Mottles are dominated by 3-minute source function oscillations.

Velocity variations in mottles have periods of 5 minutes or more.

Physical parameters like density and temperature were quantitatively determined.

Abstract

In this paper, we analyze the physical properties of dark mottles in the chromospheric network using two dimensional spectroscopic observations in H-alpha obtained with the Gottingen Fabry-Perot Spectrometer in the Vacuum Tower Telescope at the Observatory del Teide, Tenerife. Cloud modeling was applied to measure the mottles' optical thickness, source function, Doppler width, and line of sight velocity. Using these measurements, the number density of hydrogen atoms in levels 1 and 2, total particle density, electron density, temperature, gas pressure, and mass density parameters were determined with the method of Tsiropoula & Schmieder (1997). We also analyzed the temporal behaviour of a mottle using cloud parameters. Our result shows that it is dominated by 3 minute signals in source function, and 5 minutes or more in velocity.