A broad-band radio spectrometer measures radio flux density as a function of observing frequency and time (see printed version of the article in this volume). This data should be represented in such a way, that emission patterns, both in frequency and time as well as their dynamics, can be detected and analyzed.
The common displaying method plots the color coded flux in a frequency-time plane. Examples of such dynamic spectra are given in Sect. 3 on the left hand side and in the printed article in this volume. This representation is well adapted to the localization and feature detection capabilities of the human visual system.
Here we present an acoustic rendering, exploiting the frequency analysis features of hearing. Although most people do not have the absolute pitch, they still can distinguish tones relatively, telling which note is higher or lower. Beside frequency resolution, differences in loudness are distinguishable, though merely on a logarithmic scale. The acoustic representation may therefore be a tool to detect the dynamics of radiation patterns.
The above stated deficiencies of hearing prevent the acoustic representation from being an exploratory scientific tool. Nevertheless it might be a supplement in a pedagogical context, where different views of the same phenomenon can deepen the understanding more then accurate numbers.
This document is organized in the following way: First the processing method is described in Sect. 2. Sect. 3 gives some examples of pictorially and acoustically represented dynamic radio spectra, most of them obtained with the new broad-band spectrometer Phoenix-2. Conclusions are given in Sect. 4.
In case of a frequency-agile radio spectrometer, neither frequency nor time are continuous variables. The frequency domain is discretisized into frequency channels with certain bandwidths. Temporal discretization is given by the integration time in each frequency channel.
One way to build the acoustic representation of a dynamic spectrum starts with its pictorial representation. Like the staff's line, the horizontal frequency channels define the pitch of each note. Its loudness is given by the color, representing the received spectral radio flux density. The temporal discretization given by the instrumental time resolution leads to a natural length for each note.
The pictorial representation offers a certain degree of freedom in choosing an appropriate mapping between flux density and color. In case of acoustic representation, this degree of freedom is given by the mapping between frequency channel and pitch. Two different mappings were applied here: the proportional frequency mapping and the tempered chromatic mapping.
The proportional frequency mapping uses the central frequency of the observing frequency-channel in MHz as the frequency of the corresponding note in Hz. The tempered pentatonic mapping sets the frequency of each note corresponding to f = 440 * 2^(2*(z-n)/12), where z is the number of the frequency channel and n is an offset number. In that case, frequency channel n is mapped to A.
This section gives some samples of pictorial and acoustic represented dynamic spectra. Most of them were recorded with the new broad-band radio spectrometer Phoenix-2 of the Radio Astronomy and Plasma Physics Group at ETH Z�rich.
The spectrograms at the left show the channels with radio frequency increasing upward. This representation is inverted from the usual (including the article in this volume) because it was found to fit better human perception. It also agrees with musical notation, where lower pitch is drawn in lower positions.
For coherent solar radio bursts emitted on characteristic frequencies of the local plasma frequency, this representation means that structures moving downward in frequency and in the spectrogram propagate to higher altitude in the solar corona.
NOTE: If your computer understands .WAV-files (most PCs with audio device), the sound samples can be played by clicking on the speaker icon. Macintosh users may convert these files with one of the freely available conversion tools (e.g. SoundApp).
Clicking on the pictures on the left gives a larger view of the spectrograms.
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The short time scales and the random frequency distribution of
narrowband decimetric Spikes can be heard. Their
origin is not known. Their appearance is usually accompanied by strong
particle acceleration.
The spectrum was recorded with Phoenix(-I) on 1990/12/25, 09:37:05 - 09:37:17 UT , between 1000-1756 MHz, with a total integration time of 2.5 ms per pixel. A threshold at 2 sfu above background was subtracted. Both a) tempered pentatonic and b) proportional frequency mapping are provided, the note duration is 0.1 s. |
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The short duration and the random frequency distribution of
narrowband decimetric Spikes are clearly audible.
The spectrum was recorded on 1998/10/13, 09:37:05 - 09:37:09 UT, between 1000-1756 MHz, with a total integration time of 2.5 ms per pixel. A threshold at 2 sfu above background was subtracted. Both a) tempered pentatonic and b) proportional frequency mapping are available, the note duration is 0.1 s. |
An acoustic representation of dynamic radio spectra is presented. The method is less of scientific significance than of pedagogic and aesthetic interest. Some dynamic aspects of the radio data can be heard more easily than seen in the pictorial representation. On the other hand, broad-band emissions are likely to cause indistinguishable noise, drowning finer structures.