SwePub
Sök i LIBRIS databas

  Utökad sökning

(WFRF:(Peretto Nicolas))
 

Sökning: (WFRF:(Peretto Nicolas)) > Tracers of the ioni...

Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids

Bron, E. (författare)
Observatoire de Paris,Paris Observatory
Roueff, Evelyne (författare)
Observatoire de Paris,Paris Observatory
Gerin, M. (författare)
Observatoire de Paris,Paris Observatory
visa fler...
Pety, J. (författare)
Institut de Radioastronomie Millimétrique (IRAM),Observatoire de Paris,Paris Observatory
Gratier, P. (författare)
Université de Bordeaux,University of Bordeaux
Le Petit, Franck, 1975 (författare)
Observatoire de Paris,Paris Observatory
Guzman, Viviana (författare)
Pontificia Universidad Catolica de Chile
Orkisz, Jan, 1991 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
De Souza Magalhaes, Victor (författare)
Institut de Radioastronomie Millimétrique (IRAM)
Gaudel, Mathilde (författare)
Observatoire de Paris,Paris Observatory
Vono, Maxime (författare)
Université de Toulouse,University of Toulouse
Bardeau, Sébastien (författare)
Institut de Radioastronomie Millimétrique (IRAM)
Chainais, Pierre (författare)
Université de Lille,University of Lille
Goicoechea, J.R. (författare)
CSIC - Instituto de Fisica Fundamental (IFF)
Hughes, Annie (författare)
Universite Paul Sabatier Toulouse III,Paul Sabatier University
Kainulainen, Jouni, 1979 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Languignon, David (författare)
Observatoire de Paris,Paris Observatory
Le Bourlot, Jacques (författare)
Observatoire de Paris,Paris Observatory
Levrier, F. (författare)
Ecole Normale Superieure (ENS)
Liszt, Harvey (författare)
National Radio Astronomy Observatory
Öberg, Karin (författare)
Harvard-Smithsonian Center for Astrophysics
Peretto, Nicolas (författare)
Cardiff University
Roueff, Antoine (författare)
Institut Fresnel
Sievers, Albrecht (författare)
Institut de Radioastronomie Millimétrique (IRAM)
visa färre...
 (creator_code:org_t)
2020-12-23
2021
Engelska.
Ingår i: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 645
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Context. The ionization fraction in the neutral interstellar medium (ISM) plays a key role in the physics and chemistry of the ISM, from controlling the coupling of the gas to the magnetic field to allowing fast ion-neutral reactions that drive interstellar chemistry. Most estimations of the ionization fraction have relied on deuterated species such as DCO+, whose detection is limited to dense cores representing an extremely small fraction of the volume of the giant molecular clouds that they are part of. As large field-of-view hyperspectral maps become available, new tracers may be found. The growth of observational datasets is paralleled by the growth of massive modeling datasets and new methods need to be devised to exploit the wealth of information they contain. Aims. We search for the best observable tracers of the ionization fraction based on a grid of astrochemical models, with the broader aim of finding a general automated method applicable to searching for tracers of any unobservable quantity based on grids of models. Methods. We built grids of models that randomly sample a large range of physical conditions (unobservable quantities such as gas density, temperature, elemental abundances, etc.) and computed the corresponding observables (line intensities, column densities) and the ionization fraction. We estimated the predictive power of each potential tracer by training a random forest model to predict the ionization fraction from that tracer, based on these model grids. Results. In both translucent medium and cold dense medium conditions, we found several observable tracers with very good predictive power for the ionization fraction. Many tracers in cold dense medium conditions are found to be better and more widely applicable than the traditional DCO+/HCO+ ratio. We also provide simpler analytical fits for estimating the ionization fraction from the best tracers, and for estimating the associated uncertainties. We discuss the limitations of the present study and select a few recommended tracers in both types of conditions. Conclusions. The method presented here is very general and can be applied to the measurement of any other quantity of interest (cosmic ray flux, elemental abundances, etc.) from any type of model (PDR models, time-dependent chemical models, etc.).

Ämnesord

NATURVETENSKAP  -- Fysik -- Astronomi, astrofysik och kosmologi (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences -- Astronomy, Astrophysics and Cosmology (hsv//eng)
NATURVETENSKAP  -- Fysik -- Annan fysik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences -- Other Physics Topics (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Nyckelord

Astrochemistry
Methods: statistical
ISM: molecules
ISM: clouds
Methods: numerical

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy