Heating and Cooling Processes
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Inga Kamp
Heating and Cooling Processes 1. Introduction 2. Dust heating/cooling 3. Line heating/cooling
I. LTE II. non-LTE
4. Other Processes I. Photoelectric and PAH heating II. CR and X-ray heating III. Ionisation heating IV. H2: a special case V. Dust thermal accommodation VI. Bremsstrahlung VII. Viscous heating VIII. Chemical heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise 6. Examples
I. Planet forming disk
Literature
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
B.T. Draine, Physics of the Interstellar and Intergalactic Medium, Princeton University Press
Tielens & Hollenbach (1985), Photodissociation Regions: Basic Model, ApJ 291, 722
Hollenbach & Tielens (1997), Dense Photodissociation Regions, ARAA 35, 179
Summer School: Protoplanetary Disks: Theory and Modelling Meet Observations, EPJ Web of Conferences Vol 102, 2015 (Open Access)
From observations to interpretation 1. Introduction
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
a quantitative interpretation of line emission often requires dynamical/radiation/thermal/chemical models
of the studied astrophysical environment
Heating and cooling of a gas
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
dedt= −P dV
dt+ ρΓi −
i∑ ρΛk
k∑
e – internal energy of the gas t – time V – specific volume P – gas pressure ρ – gas density Γι – heating rate of process i Λκ – cooling rate of process k ρΓi =
i∑ ρΛk
k∑
change in internal energy If the cooling timescale (τcool) is much faster than the dynamical timescale (τdyn): If collisional coupling between gas and dust is inefficient:
⇒ Tgas
Tgas ≠Tdust
1. Introduction
How it all ties together 1. Introduction
Physical structure of the object (+ element
abundances, dust properties)
Dust opacity, dust temperature
Gas (+dust surface) chemistry
Gas energy balance (gas temperature)
Radiation field (e.g. photons/s/cm2/Hz)
Ray tracing (observables e.g. spectrum, line profile)
possibly update physical model (e.g. hydrostatic equilibrium, pressure equilibrium, thermal stability of dust/clouds)
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Physical structure of the object (+ element
abundances, dust properties)
Dust opacity, dust temperature
Gas (+dust surface) chemistry
Gas energy balance (gas temperature)
Radiation field (e.g. photons/s/cm2/Hz)
Ray tracing (observables e.g. spectrum, line profile)
possibly update physical model (e.g. hydrostatic equilibrium, pressure equilibrium, thermal stability of dust/clouds)
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
1. Introduction
How it all ties together
Heating and Cooling Processes 1. Introduction 2. Dust heating/cooling 3. Line heating/cooling
I. LTE II. non-LTE
4. Other Processes I. Photoelectric and PAH heating II. CR and X-ray heating III. Ionisation heating IV. H2: a special case V. Dust thermal accommodation VI. Bremsstrahlung VII. Viscous heating VIII. Chemical heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise 6. Examples
I. Planet forming disk
Dust opacities Input data for models: • grain size distribution • grain composition (e.g. volume
fraction silicate, amorphous carbon, vacuum, ice, …)
κνabs =
Qabs (ν )πa2
43πa3ρgrain
absorption efficiency of a grain
mass of a grain
for single grain size a => can be generalized to grain size distribution using moments of the distribution <a2>, <a3>
[Woitke et al. 2016]
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
2. Dust heating and cooling
Dust radiative equilibrium Energy can be added or removed from the grain by absorption or emission of photons, or by inelastic collisions with atoms or molecules from the gas (grain heating).
stellar photons
isotropic dust emission
Tdust Tdust
uνhν∫ ⋅c ⋅hν ⋅Qabs (ν )πa
2dν = 4πa2Bν (Tdust )Qabs (ν )πa2 dν∫
photon number density
absorption efficiency of a grain
speed and energy of photon
Blackbody emission from a grain with size a
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
2. Dust heating and cooling
solving for Tdust requires continuum radiative transfer
often neglected, because small – but not in accretion disks
Dust temperature
A day in the life of four carbonaceous grains, heated by the local inter-stellar radiation field. τabs is the mean time between photon absorptions.
1 hour = 3600 s
Definition of temperature for very small grains: instantaneous vibrational temperature = temperature T(E) at which the expectation value of the energy would be equal to the actual grain energy
[Draine 2003]
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
2. Dust heating and cooling
Continuum radiative transfer Radiative transfer equation with dIνds
= −ανdust Sν − Iν( )
Iν – intensity [erg cm-2 s-1 Hz-1] ν – frequency s – physical path length Sν – source function aνdust – dust extinction coefficient [cm-1] aνdust,abs – dust absorption coefficient aνdust,sca – dust scattering coefficient jνdust – continuum emission coefficient
Sν =jνdust
ανdustν
jνdust =αν
dust,absB Tdust( )+ανdust,scaJν
ανdust =αν
dust,abs +ανdust,sca
I0 - dI I0
jν , aν
ds
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
2. Dust heating and cooling
Gas Temperature the gas has many possibilities to heat and cool due to the presence of a large variety of atoms/molecules (forest of line transitions, ionization, dissociation processes etc.)
and many other molecules
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
2. Dust heating and cooling
and many other atomic lines
Heating and Cooling Processes 1. Introduction 2. Dust heating/cooling 3. Line heating/cooling
I. LTE II. non-LTE
4. Other Processes I. Photoelectric and PAH heating II. CR and X-ray heating III. Ionisation heating IV. H2: a special case V. Dust thermal accommodation VI. Bremsstrahlung VII. Viscous heating VIII. Chemical heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise 6. Examples
I. Planet forming disk
Local Thermodynamic Equilibrium if collisions dominate, level populations for an atom/molecule follow from the Boltzmann equation rotational level populations are often in LTE since their energies Erot are often «1 eV ⇒ collisions can easily thermalize them The critical density of a line is a measure for the density at which LTE roughly holds
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
3. Line heating and cooling
Local Thermodynamic Equilibrium the line emission (cooling) can be derived from the level populations
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Λk (ν ij ) = niLTEAijhν ijβesc (τ ij )
νij – frequency of the line τij – optical depth of the line Aij – spontaneous emission probability βesc – escape probability ni – population number of the upper level
1D slab geometry complete re-distribution Gaussian profile
θ
cosθ=µ
with the escape probability
[Avrett & Hummer 1965]
3. Line heating and cooling
different in cases of large velocity gradients
Velocity gradients
Why would velocity gradients impact line RT?
radially expanding velocity field v = dv
dr!
"#
$
%&r
r
v
3. Line heating and cooling
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Velocity gradients
Why would velocity gradients impact line RT?
Large Velocity Gradient (LVG) approximation if Δν from one cell to the next is larger than the line width, the photon is “shifted out of the line” and can escape τLVG is the total optical depth along the path for any frequency
[Sobolev 1957] radially expanding velocity field v = dv
dr!
"#
$
%&r
r
v Δν ij =ν ijv(rn )− v(rn−1)( )
c
βesc =1− e−τ LVG
τ LVG
3. Line heating and cooling
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Velocity gradients
[Beckwith & Sargent 1993, Pontoppidan et al. 2009]
disks have a Keplerian velocity field
LVG approximation does not work since a line can interact with itself at various locations along a ray (e.g. top and bottom of the disk, near- and far-side)
45o inclination
3. Line heating and cooling
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Statistical Equilibrium if LTE does not hold, we need to solve the detailed equations of statistical equilibrium (SE) for each energy level i
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
3. Line heating and cooling
addition from higher levels due to sponatenous + stimulated emission
addition from lower levels due to absorption
collisions ending in level i
loss into lower levels due to sponatenous + stimulated emission
loss into higher levels due to absorption
collisions leaving level i
ni - population of level i νij - frequency of the line P(νij) – radiation field at frequency νij
dnidt
= njj>i∑ Aji +BjiP(ν ji )( )+ nj
j<i∑ BjiP(ν ji )+ njCji
j≠i∑
−ni Aij +BijP(ν ij )( )j<i∑ − ni BijP(ν ij )
j>i∑ − ni Cij
j≠i∑
Aij - Einstein A coefficient (spontaneous emission) Bji – Einstein B coefficient (absorption) Bij – Einstein B coefficient (stimulated emission)
Statistical Equilibrium if LTE does not hold, we need to solve the detailed equations of statistical equilibrium (SE) for each energy level i with the stimulated emission coefficient and the relation between stimulated emission and absorption coefficient
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
3. Line heating and cooling
Statistical Equilibrium
Solve numerically using e.g. Newton-Raphson => level population numbers for rotational, vibrational levels of all electronic states => for some purposes (cold low density environments), only ground electronic, vibrational state populated, hence only rotational level populations needed
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
3. Line heating and cooling
The two-level atom E1, n1, g1
E0, n0 g0
E10 n1n0=
A10c2
2hν 3g1g0P(ν10 )+C01
A10 + A10c2
2hν 3P(ν10 )+C10
n1n0=
C01A10 +C10
without background radiation: What happens if collisions are negligible?
n1n0=g1g0
c2
2hν 3P(ν10 )
1+ c2
2hν 3P(ν10 )
if P(ν10) is a blackbody radiation field with Tgas
n1n0=g1g0
c2
2hν 32hν 3
c21
ehν10 /kTgas −1"
#$
%
&'
1+ c2
2hν 32hν 3
c21
ehν10 /kTgas −1"
#$
%
&'
=g1g0e−hν10 /kTgas
radiation can also produce LTE !
3. Line heating and cooling
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
The two-level atom E1, n1, g1
E0, n0 g0
E10= 92 K n1n0=
A10c2
2hν 3g1g0P(ν10 )+C01
A10 + A10c2
2hν 3P(ν10 )+C10
n1n0=
C01A10 +C10
without background radiation: What happens if collisions are negligible?
n1n0=g1g0
c2
2hν 3P(ν10 )
1+ c2
2hν 3P(ν10 )
if P(ν10) is a blackbody radiation field with Tgas
n1n0=g1g0
c2
2hν 32hν 3
c21
ehν10 /kTgas −1"
#$
%
&'
1+ c2
2hν 32hν 3
c21
ehν10 /kTgas −1"
#$
%
&'
=g1g0e−hν10 /kTgas
radiation can also produce LTE !
3. Line heating and cooling
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
2P1/2
2P3/2
[CII] 158 µm
Statistical Equilibrium
IR pumping UV pumping
LTE often a good assumption
CO molecule
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
3. Line heating and cooling
Heating and cooling of a gas
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
[Peter Woitke]
For the net cooling rate, one can either calculate the net creation rate of photon energy (radiative approach), or one can calculate the total destruction rate of thermal energy (collisional approach)
with
3. Line heating and cooling
Statistical Equilibrium
[diffuse cloud, no molecules: Draine 2011]
3. Line heating and cooling
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
At different temperatures, different main coolants will dominate the energy balance: at low temperatures (few 100 K) the fine structure lines, at high temperatures (few 1000 K) atomic lines
Statistical Equilibrium
[Hollenbach & Tielens 1997 ]
3. Line heating and cooling
dense PDR with n = 2.3×105 cm-3, G0 = 105
C+/C/CO C+/C/CO H/H2
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Heating and Cooling Processes 1. Introduction 2. Dust heating/cooling 3. Line heating/cooling
I. LTE II. non-LTE
4. Other Processes I. Photoelectric and PAH heating II. CR and X-ray heating III. Ionisation heating IV. H2: a special case V. Dust thermal accommodation VI. Bremsstrahlung VII. Viscous heating VIII. Chemical heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise 6. Examples
I. Planet forming disk
W – work function of bulk dust material Y – electron yield εGRAIN – efficiency of heating ΦC – Coulomb potential of the dust grain σabs – dust absorption cross section
4. Other processes
Photoelectric heating
10 ≤ hν ≤13.6eVPhotons with cannot ionize hydrogen, but can ionize dust grains => ejection of a photoelectron.
ΓPE = εGRAINndustσ dustabs χ
photoelectric heating rate
with the integrated FUV (912-2050 Å) radiation field
χ =λuλ
912
2050
∫ dλ
λuλDraine
912
2050
∫ dλ
photon energy density [erg/cm3]
[Hollenbach & Tielens 1997]
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
W – work function of bulk dust material Y – electron yield εGRAIN – efficiency of heating ΦC – Coulomb potential of the dust grain σabs – dust absorption cross section
Photoelectric heating
10 ≤ hν ≤13.6eVPhotons with cannot ionize hydrogen, but can ionize dust grains => ejection of a photoelectron.
ΓPE = εGRAINndustσ dustabs χ
photoelectric heating rate
with the integrated FUV (912-2050 Å) radiation field
χ =λuλ
912
2050
∫ dλ
λuλDraine
912
2050
∫ dλ
photon energy density [erg/cm3]
[Hollenbach & Tielens 1997]
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
need to know the charge on dust grains which depends on grain sizes, radiation filed, density (recombination)
4. Other processes
4. Other processes
Other important heating processes
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
• PAH heating: depends on the size of the PAH, the radiation field and density
• Cosmic Ray and X-ray heating: high energy radiation produces super-thermal electrons through ionisation (e.g. K-shell) that heat the gas through Coulomb interactions with thermal electrons
• Ionisation heating: FUV radiation ionises metals and the electrons heat the gas (compared to CR and X-rays, FUV radiative transfer is more intertwined with dust and H2 – shielding)
all depend on the radiation field (solving full RT) and CRs (attenuation into the medium)
PAH heating PAHs get charged according to the local radiation field, densities, PAH abundance
IPk – Ionisation Potential of PAHk
nkPAH – PAH density
ne – electron density σk
PAH – PAH absorption cross section kk
PAH – PAH recombination coefficient Tgas – gas temperature Jν – radiation field Yk
ν – photoelectron yield sν – self-shielding factor
PAH ionisation is heating
PAH recombination with free e- is cooling
[Hollenbach & Tielens 1997]
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
Cosmic Ray and X-ray heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
High energy radiation produces super-thermal electrons through ionisation (e.g. K-shell) that heat the gas through Coulomb interactions with thermal electrons
ΓCR =ζCR QHCRnH +QH2
CRnH2 +...( )ΓCR ≈ ζCR 5.5 ⋅10
−12nH + 2.5 ⋅10−11nH2( )
ΓXray =ζXray QHCounH +QH2
CounH2 +...( )
for H/H2 mixture
ζXray – Xray primary ionisation rate QCou – energy thermalized via Coulomb interactions ζCR – primary CR ionisation rate QCR – energy thermalized via Coulomb interactions
[Dalgarno et al. 1999]
Ionisation heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
FUV radiation ionises metals and the electrons heat the gas compared to higher energy ionisation, the FUV radiative transfer is more complicated due to dust (τUV), H2 (sC,H2) and C (sC,C) self-shielding, leading to an ionisation rate
ΓC =1.602 ⋅10−12RC
phnC
RCph = sC,CsC,H2χ0αCe
−τUV αC – carbon ionisation rate χ0 – strength of FUV radiation field
H2: a special case
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
H2 is the most abundant molecule and its excitation and chemistry couple strongly to the radiation/thermal balance:
• H2 can self-shield against photodissociation
• H2 formation on dust leads to “hot” excited H2 – H2exc
• H2 absorbs FUV radiation (pumping) – H2exc
• H2exc de-excites through radiation or collisions or
reacts chemically
H2exc
H2 heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
Γdiss = 6.4 ⋅10−13Rph
H2nH2
Dissociation heating: kinetic energy of the H-atoms is ~0.4 eV
RH2ph – photodissociation rate of H2 including
dust and self-shielding RH2exc
coll – collisional de-excitation rate ΔE – pseudo vibration level ~2.6 eV (v=6)
Collisional de-excitation: kinetic energy of H2 dissipated into the gas
Γcoll = ΔE ⋅RcollH2exc→H2 nH2exc − nH2e
−ΔE /kT( )( )
~10%
[Tielens & Hollenbach 1985]
~90%
cooling correction (collisional excitation)
[Stephens & Dalgarno 1973]
H2 heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
H2exc
Formation heating: the surface reaction is exothermic and the assumption of equipartition of energy leads to Ekin~1/3 Ebind
RH2 – formation rate of H2 on dust grains Ebind – H2 binding energy 4.48 eV nH – number density of atomic hydrogen
Γform = 2.39 ⋅10−12RH2nH
[Black & Dalgarno 1976]
Dust thermal accommodation
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
4. Other processes
inelastic collisions between gas and dust thermalize the two (can heat or cool the gas) the influence of this process on the dust energy balance is usually neglected (however, see viscous heating later ...)
Γacc −Λacc = 4 ⋅10
−12π a2 ndustn H αacc (Tgas ) Tgas (Tdust −Tgas )
αacc(Tgas) – thermal accommodatiuon coefficient, ~0.1…0.5 Tgas – gas temperature Tdust – dust temperature n<H> – total hydrogen number density (nH+2nH2) <a2> – second moment of the dust size distribution n(a)~a-3.5
dust surface area
Processes relevant in special cases
4. Other processes
• Bremsstrahlung: in a plasma electrons and ions scatter off one another producing a continuum from radio wavelengths up to ≈ kT
Γchem = R(r)γ rchem
r∑ ΔHr
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
[Woitke et al. 2011]
Γvis dz∫ =3GM*
M8πr3
1− R*r
$
%&
'
()
• Viscous heating: accretion causes friction
• Chemical heating/cooling: exothermic chemical reactions convert chemical potential energies into heat and endothermic reactions consume internal kinetic energy (cooling)
[D’Alessio et al. 1998] affects also Tdust
Heating and Cooling Processes 1. Introduction 2. Dust heating/cooling 3. Line heating/cooling
I. LTE II. non-LTE
4. Other Processes I. Photoelectric and PAH heating II. CR and X-ray heating III. Ionisation heating IV. H2: a special case V. Dust thermal accommodation VI. Bremsstrahlung VII. Viscous heating VIII. Chemical heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise 6. Examples
I. Planet forming disk
Exercise The typical hydrogen number density in the diffuse ISM is nH=1 cm-3, the radi-ation field is G0=1, and the density of C+ is n(C+)=5 10-4 cm-3, n(e-)=10-2 cm-3. Assume that photoelectric heating is the main heating process and fine structure emission by the [CII] 158 µm is the dominant cooling process.
Derive an estimate for the gas temperature using the two-level approximation for [CII].
k01(e− ) ≈1.5 ⋅10−6 (T )−0.5cm3s−1
ΓPE / nH =1.4 ⋅10−26G0erg / s
k01
Photoelectric heating rate per hydrogen atom
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise
Heating and Cooling Processes 1. Introduction 2. Dust heating/cooling 3. Line heating/cooling
I. LTE II. non-LTE
4. Other Processes I. Photoelectric and PAH heating II. CR and X-ray heating III. Ionisation heating IV. H2: a special case V. Dust thermal accommodation VI. Bremsstrahlung VII. Viscous heating VIII. Chemical heating
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
5. Exercise 6. Examples
I. Planet forming disk
Disks are layered structures: ionized/atomic, ion-molecules, molecules, ices
10 AU rcond 100 AU
ices
hot flaring surface
rich molecular
chemistry
hot gas: CO rich, no H2
[Aikawa et al. 2002, Kamp & Dullemond 2004, PPV chapters: Dullemond et al 2007, Bergin et al. 2007]
UV scattering by dust absorption by dust & gas
[PD database: van Dishoeck et al. 2006; Ly α up to 70-90% of LFUV: Schindhelm et al. 2012]
Ly α
Planet Forming Disk 5. Examples
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
Disks are layered structures: ionized/atomic, ion-molecules, molecules, ices
Ly α
dust properties in disks differ vastly from ISM
values at AV=1 χ=103 G0
n=1012 cm-3 χ=102 G0
n=1010 cm-3 χ=10-1 G0
n=109 cm-3
Planet Forming Disk 5. Examples
[Aikawa et al. 2002, Kamp & Dullemond 2004, PPV chapters: Dullemond et al 2007, Bergin et al. 2007]
[PD database: van Dishoeck et al. 2006; Ly α up to 70-90% of LFUV: Schindhelm et al. 2012]
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
These are not
classic PDR
s, but live
in a differen
t parameter sp
ace!!!
Planet Forming Disk 5. Examples
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
shown is only the “dominant” process [DIANA standard T Tauri disk: Woitke et al. 2016, Kamp et al. 2017]
Planet Forming Disk 5. Examples
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile
[DIANA standard T Tauri disk: Woitke et al. 2016, Kamp et al. 2017]
Gas and dust couple efficiently below AV~1
as soon as molecules form, gas cooling becomes very efficient
C+/C/CO
different from ISM
different from ISM σdust (disk) << σdust (ISM)
Take away • There is an overwhelming number of physical processes contributing to
gas heating and cooling • In many astrophysical regions (PDR, warm/cold neutral medium, hot
ionized gas), only a subset of them dominate the energy balance – except planet forming disks that span a very wide range of conditions • solving the energy balance of the dust requires knowledge of dust
properties (composition, sizes), optical constants etc. • solving the energy balance of the gas requires knowledge of atomic/
molecular abundances, energy levels, line transitions (λ, Aij), collisional cross sections for all relevant collision partners (often e-, H, H2) and knowledge of the dust (see above)
Inga Kamp, KROME summer school November 26 – November 28, 2018, Concepcion, Chile