line analysis and chemical modelling the case of NH 2 CHO

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line analysis and chemical modelling the case of NH 2 CHO Edgar Mendoza IAG/USP, S~ao Paulo International Symposium and Workshop on Astrochemistry Campinas 07/07/2016

Index Introduction Tools of spectral line analysis Tools of chemical modelling

INTRO LINE ANALYSIS MODELLING atoms and molecules Thaddeus et al. 2008 and references therein.

atoms and molecules Thaddeus et al. 2008 and references therein.

detection and analysis of NH 2 CHO in L1157-B1 Identification of lines Analysis: GILDAS + CASSIS Physical conditions: Rotational diagram Chemical modelling: ASTROCHEM L1157 image (Spitzer Space Telescope IRAC).

Why formamide? NH 2 CHO and HNCO are the simplest molecules with H, C, N and O. Importance of NH 2 CHO as a building block (Saladino et al. 2012).

Index Introduction Tools of spectral line analysis Tools of chemical modelling

ASAI: Astrochemical Surveys At IRAM Through ASAI was proposed an unbiased spectral exploration of a carefully selected sample of sources, which cover the full formation processes of solar-type stars. PIs: Lefloch & Bachiller (350 h with IRAM-30m) The need for systematic spectral surveys Powerful diagnostic to study the chemical evolution of star-forming regions It is possible to probe the chemical differentiation along the line of sight of several sources Lefloch (IPAG) & Bachiller (OAN) 2015

The ASAI large program Astrochemical Surveys At Iram: 350 hours of observation at IRAM-30m (PIs: Lefloch & Bachiller 2014) Sources: Samples that cover all the evolutionary phases of solar type protostars Frequencies observed through ASAI: 3 mm: 80-116 GHz 2 mm: 130-170 GHz 1.3 mm: 200-320 GHz 0.8 mm: 329-350 GHz

Data reduction The data reduction was performed using the GILDAS/CLASS90 package. http://www.iram.fr/iramfr/gildas/ The CDMS and JPL spectroscopy databases were used to identify lines http://www.astro-uni-koel.de/cgi-bin/cdmssearch http://spec.jpl.nasa.gov/ftp/pub/catalog/catform.html The telescope and receiver paramenters: http://www.iram.es/irames/mainwiki/iram30mefficiencies

CLASS + Weeds Line analysis Modelling considering LTE conditions Databases as CDMS and JPL https://www.iram.fr/iramfr/gildas/doc/html/weeds-html/weeds.html look for weeds.pdf... * Welcome to CLASS... * Loaded extensions weeds (S.Maret, P.Hily-Blant, J.Pety, S.Bardeau, E.Reynier)... Available commands: LID Identify lines on the current spectra LFIND Find lines from a species within a frequency range LLIST List lines from the line index LGET Get a line from the line index LPLOT Plot a line from the current line index MODSOURCE Model the emission of a source at the LTE MODSHOW Show the results of MODSOURCE

Formamide in L1157-B1/ASAI LAS> select /freq 84000 85000 I-SELECT, 3123 lines found in the frequency range 84000.0 to 85000.0 MHz LAS > select /freq 84541.829 84546.088 I-SELECT, 6 lines found in the frequency range 84541.829 to 84546.088 MHz LAS> llist (...) LAS> lget 2 I-LGET, Found line frequency in the current scan Species Freq[MHz] Err[MHz] Eup[K] Gup Aij[s-1] Upper level - Lower level Origin 1 HC(O)NH2, v=0 84542.330 0.000 10.2 9 4.09e-05 4 0 4-3 0 3 cdms LAS> select /freq 85090.609 85097.065 I-SELECT, 32 lines found in the frequency range 85090.609 to 85097.065 MHz

CASSIS An easy and interactive software to analyse lines CASSIS is useful to identify and reproduce lines using databases as CDMS, JPL and NIST All the documentation and information at http://cassis.irap.omp.eu/?page=cassis

CASSIS An easy and interactive software to analyse lines CASSIS is useful to identify and reproduce lines using databases as CDMS, JPL and NIST All the documentation and information at http://cassis.irap.omp.eu/?page=cassis

CASSIS functionalities Frequ^encia E u Tmb dv MHz K mk km s 1 81505.17 15.4 201 ± 4 86181.39 23.3 6629 ± 3 90686.38 26.1 7489 ± 4 93870.11 19.9 175 ± 3 99866.52 28.1 8043 ± 3 103640.75 31.1 6543 ± 2 106347.72 24.9 154 ± 4 113410.19 33.6 6158 ± 5 http://cassis.irap.omp.eu/?page=cassis ln(n u /g u ) 25 24.5 24 23.5 23 22.5 22 14 16 18 20 22 24 26 28 30 32 34 E u (K)

CASSIS Modules: Rotational diagram Rotational diagram: An important technique to analyse properties from molecular line emission (see Goldsmith et al. 1999). In LTE conditions, the temperature obtained should be expected to be equal to the kinetic temperatures if all the level were thermalized ln Nu g u = 1 T rot ( Eu k ) +[lnn T lnq(t rot)] N u = 8πhν2 A hc 3 A ul A simple analysis of HC 13 CCN LTE conditions: 1. Excitation temperatures 2. FWHM 3. Column densities...

CASSIS Modules: Rotational diagram Rotational diagram: An important technique to analyse properties from molecular line emission (see Goldsmith et al. 1999). In LTE conditions, the temperature obtained should be expected to be equal to the kinetic temperatures if all the level were thermalized ln Nu g u = 1 T rot ( Eu k ) +[lnn T lnq(t rot)] N u = 8πhν2 A hc 3 A ul A simple analysis of HC 13 CCN LTE conditions: 1. Excitation temperatures 2. FWHM 3. Column densities...

CASSIS Modules: Rotational diagram Rotational diagram: An important technique to analyse properties from molecular line emission (see Goldsmith et al. 1999). In LTE conditions, the temperature obtained should be expected to be equal to the kinetic temperatures if all the level were thermalized ln Nu g u = 1 T rot ( Eu k ) +[lnn T lnq(t rot)] N u = 8πhν2 A hc 3 A ul A simple analysis of HC 13 CCN LTE conditions: 1. Excitation temperatures 2. FWHM 3. Column densities...

Index Introduction Tools of spectral line analysis Tools of chemical modelling

1. Astrochem http://smaret.github.io/astrochem/ The code compute the abundances of chemical species, as a function of time, in the interstellar medium. Chemical processes: A + B C + D AB + hν A + B A + hν A + + e A + + B C + + D A + + e C + D The code reads a network of chemical reactions: OSU database (http://faculty.virginia.edu/ericherb/research.html) Molecular abundances as a function of time Routes of formation and destruction Formulating the problem: Physical condition + chemical abundances

1. Astrochem http://smaret.github.io/astrochem/ The code compute the abundances of chemical species, as a function of time, in the interstellar medium. Chemical processes: A + B C + D AB + hν A + B A + hν A + + e A + + B C + + D A + + e C + D The code reads a network of chemical reactions: OSU database (http://faculty.virginia.edu/ericherb/research.html) Molecular abundances as a function of time Routes of formation and destruction Formulating the problem: Physical condition + chemical abundances

Physical conditions Properties as temperature, density and visual extinction can be introduced in an input file with extension.mdl # --------------------------------------------------- # Source model file example # shell number, Av [mag], nh [cm-3], Tgas [K], Tdust [K] 0 0 0.e0 0 0 # --------------------------------------------------- Chemical properties Chemical abundance with respect to H can be introduced in an input file with extension.ini [files] source = input-file.mdl chem = osu2009.chm # Physical paramaters [phys] chi = 0.0 cosmic = 0.0000000e-00 grain-size = 0.0 # Solver parameters ti = 0e-0 tf = 0e0 http://smaret.github.io/astrochem/ # Initial abundances [abundances] C(+) = 0.0e+0 H2O = 0.0e+0 NH2CHO = 0.0e+0 # Output [output] abundances = suffix = model-name time-steps = 0 trace-routes = 0

Chemical networks of Astrochem osu2009.chm: the network contains the reactions and coefficients of the Ohio State University. The network is composed by around 6000 reactions and 460 chemical species Hasegawa, Herbst & Leung (1992)

The case of NH 2 CHO Chemical equations k(80 K) (cm 3 s 1 ) Formation processes (a) NH 2 + H 2CO NH 2CHO + H 1 10 10 (b) NH 2CH 2O + + e NH 2CHO + H 2.9 10 7 Destruction processes (c) H + 3 + NH2CHO NH2CH2O+ + H 2 3.9 10 8 (d) CH + 3 + NH2CHO CH5N+ + HCO 1.9 10 8 (e) H 3O + + NH 2CHO NH 2CH 2O + + H 2O 1.8 10 8 (f) H + + NH 2CHO NH + 4 + CO 1.7 10 8 n(x)/n(h 2 ) 10-8 10-9 10-10 10-11 10-12 10-13 10-14 10-15 10-16 10-17 x = NH 2 x = H 2 CO x = NH 2 CHO (a) 10 0 10 1 10 2 10 3 10 4 10 5 10 6 n(x)/n(h 2 ) 10-6 10-7 10-8 10-9 10-10 10-11 10-12 10-13 10-14 10-15 x = NH 2 x = H 2 CO x = NH 2 CHO (b) 10 0 10 1 10 2 10 3 10 4 10 5 10 6 Time (yr) Two cases: a. Typical abundances of NH 2 and H 2 CO in interstellar conditions b. Considering abundances of NH 2 and H 2 CO higher by a factor 1000

Chemical behaviour of COMs: Several possibilities Chemical networks can be explored changing easily physical properties

Chemical behaviour of COMs: Several possibilities Chemical networks can be explored changing easily physical properties

Chemical behaviour of COMs: Several possibilities Chemical networks can be explored changing easily physical properties

Tools of chemical modelling: Nahoon Nahoon computes the chemical abundances as a function of time considering a gas-phase chemical model (Wakelam et al. 2012) The code is written in Fortran 90 and is available on KIDA to compute gas-phase chemistry More info: Wakelam et al. 2012 and references therein http://kida.obs.u-bordeaux1.fr/models/ Chemical reactions Bimolecular reactions Electronic recombinations Direct cosmic-ray processes Photo-processes...

Nahoon: input files Chemical network: KIDA (http://kida.obs.u-bordeaux1.fr)... CN C2H2 H HC3N 2.720e-10-5.200e-01 1.900e+01 1.25e+00 0.00e+00 logn 4 10 300 3 904 1 1...

Physical conditions... cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc N / Do you want to run in the uncertainty mode? Y or N 0.000D+00 / H tot Density (cm-3) = n(h)+2*n(h2) 0.000D+00 / Temperature (K) 0.000D+00 / Visual extinction 0.063D+00 / Time (in timeres.dat) when you want the output.dat to be written 0.000D-00 / Cosmic-ray ionization rate (s-1) 0.000D-00 / Dust to gas mass ratio (usually 0.01) 0.000D-00 / Dust grain radius (in cm) 0.000D+00 / grain density (in g cm-3)... Chemistry JSPACE = 0 1 H 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0.00000000D-00 99 c-c3h2 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0.00000000D-00...

testing the chemistry of HC 3 N in L1157-B1 1 st Step 2 nd Step Chemistry Elemental abundances Abundanes in steady-state e.g. Wakelam & Herbst 2008 (t = 1 10 6 yr) Physics n(h) = 2 10 4 cm 3 n(h) = 1 10 5 cm 3 T = 10 K T = 70 K A v = 10 mag A v = 10 mag ξ = 1 10 17 s 1 ξ = 1-3 10 16 s 1......

Index Introduction Tools of spectral line analysis Tools of chemical modelling

Summarizing

Summarizing