WASEM12: Data Map Analysis for Finding Hidden Physical Phenomena

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F22%3A00562121" target="_blank" >RIV/67985815:_____/22:00562121 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.asu.cas.cz/~hana/wasem1.htm" target="_blank" >http://www.asu.cas.cz/~hana/wasem1.htm</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

WASEM12: Data Map Analysis for Finding Hidden Physical Phenomena

Popis výsledku v původním jazyce

The computer code WASEM is suitable when an original data map (e.g., imaging data, space-time diagram, dynamic spectrum) consists of a mixture of different structures that are observed at the same location or frequencies during the same time interval. In such a case, weaker but interesting physical phenomenon may coincide with a strong emission. Usually, this strong component is well detectable, while the weak one remains hidden. This type of situation is characteristic of complex (e.g., radio, (E)UV) spectra that are observed during e.g., solar flares, which can consist of different types of bursts, plasma jets, or MHD waves and oscillations. When we want to separate individual temporal or spatial components from one another, we can use WASEM to learn about the hidden structures. nn

Název v anglickém jazyce

WASEM12: Data Map Analysis for Finding Hidden Physical Phenomena

Popis výsledku anglicky

The computer code WASEM is suitable when an original data map (e.g., imaging data, space-time diagram, dynamic spectrum) consists of a mixture of different structures that are observed at the same location or frequencies during the same time interval. In such a case, weaker but interesting physical phenomenon may coincide with a strong emission. Usually, this strong component is well detectable, while the weak one remains hidden. This type of situation is characteristic of complex (e.g., radio, (E)UV) spectra that are observed during e.g., solar flares, which can consist of different types of bursts, plasma jets, or MHD waves and oscillations. When we want to separate individual temporal or spatial components from one another, we can use WASEM to learn about the hidden structures. nn

Druh

R - Software

CEP obor

—

OECD FORD obor

10308 - Astronomy (including astrophysics,space science)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

WASEM12

Technické parametry

Program analyzuje datovou mapu a vyhledává skryté fyzikální jevy pomocí wavelet technik. Program je psán v jazyce IDL (Interactive Data Language).

Ekonomické parametry

vyvinutý software

IČO vlastníka výsledku

67985815

Název vlastníka

Astronomický ústav AV ČR, v. v. i.