Optical polarization from colliding stellar stream shocks in a tidal disruption event

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F23%3A00573498" target="_blank" >RIV/67985815:_____/23:00573498 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1126/science.abj9570" target="_blank" >https://doi.org/10.1126/science.abj9570</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1126/science.abj9570" target="_blank" >10.1126/science.abj9570</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optical polarization from colliding stellar stream shocks in a tidal disruption event

Popis výsledku v původním jazyce

This work explores the dependence of the IR emission of galaxies on their extinction, and the age of their SPs. It aims to provide accurate and precise IR-photometry SFR and M⋆ calibrations that account for SP age and extinction while providing quantification of their scatter. We used the CIGALE spectral energy distribution (SED) fitting code to create model SEDs of galaxies with a wide range of star formation histories, dust content, and interstellar medium properties. We fit the relations between M⋆ and SFR with IR and optical photometry of the model-galaxy SEDs with the Markov chain Monte Carlo (MCMC) method. As an independent confirmation of the MCMC fitting method, we performed a machine-learning random forest (RF) analysis on the same data set. The RF model yields similar results to the MCMC fits, thus validating the latter.

Název v anglickém jazyce

Optical polarization from colliding stellar stream shocks in a tidal disruption event

Popis výsledku anglicky

This work explores the dependence of the IR emission of galaxies on their extinction, and the age of their SPs. It aims to provide accurate and precise IR-photometry SFR and M⋆ calibrations that account for SP age and extinction while providing quantification of their scatter. We used the CIGALE spectral energy distribution (SED) fitting code to create model SEDs of galaxies with a wide range of star formation histories, dust content, and interstellar medium properties. We fit the relations between M⋆ and SFR with IR and optical photometry of the model-galaxy SEDs with the Markov chain Monte Carlo (MCMC) method. As an independent confirmation of the MCMC fitting method, we performed a machine-learning random forest (RF) analysis on the same data set. The RF model yields similar results to the MCMC fits, thus validating the latter.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10308 - Astronomy (including astrophysics,space science)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Science

ISSN

0036-8075

e-ISSN

1095-9203

Svazek periodika

380

Číslo periodika v rámci svazku

6645

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

3

Strana od-do

656-658

Kód UT WoS článku

000999020900012

EID výsledku v databázi Scopus

2-s2.0-85159740130