Issues with Generating Spectra
With the current machinery to create spectra, it is possible to come across the situation where models with large optical depth or wind velocities will generate spectra with different flux normalisation depending on the wavelength range.
This problem was originally encountered whilst modelling Tidal Disruption Events. Two spectra for the same model were generated over two wavelength ranges; a restricted (1100 - 2600 A) and a broader (500 - 5000 A) range. The problem encountered was that the broad range spectrum had more flux than the spectrum with the restricted range. The figure below shows the same model, but over two wavelength ranges - as well as two spectra where the maximum number of scatters a photon can undergo is changed,
tde_flux_small_range: The restricted wavelength range
tde_flux_large_range: The broad wavelength range
tde_flux_small_range_maxscat: The restricted wavelength range with a value
MAXSCAT = 50
tde_flux_no_maxscat: The restricted wavelength range with no
MAXSCAT
limit
The problem here is not caused by a bug with the code, but is a consequence of the large wind velocities and optical depths of the model. We currently believe that there are two reasons why the flux differs between these two wavelength ranges.
Doppler Shifting out of the Spectrum Wavelength Range
At the edges of the restricted spectrum above, the flux is reduced. This is due to photon frequencies being shifted outside of the wavelength range of the spectrum. If a significant number of photons are removed from the spectrum in this way, then the following Error is printed,
spectrum_create: Fraction of photons lost: 0.10 wi/ freq. low, 0.19 w/freq hi
This tells one the fraction of the photon sample which does not contribute towards the spectrum due to to the photon frequencies being larger or smaller than the defined spectrum range, due to Doppler shifting. In models with large wind velocities (0.2 - 0.5 c) and a small spectral range, the fraction of photons lost is large and the flux at the edge of generated spectra is reduced - as can be seen above in the above figure. However, when the wind has a more moderate velocity, the number of photons lost due to being shifted out of the range is much lower and does not produce a noticeable effect on the flux normalisation of the spectra.
Removing Photons due to Too Many Scatters
As well as edge effects, flux can be lost due to photons being removed from the photon sample due to scattering too many times. In Python, when a photon has undergone MAXSCAT = 500 scatters, a photon is assumed to have become stuck in the wind and hence it is terminated and no longer tracked.
In models with large optical depths, the number of photons terminated in this way can become large. During spectrum generation, these photons will never fully escape the system but will only contribute partially to the spectrum due to extract - they will never contribute if Live or Die is used instead.
At current, there is no logic to detect this and hence no error is given. However, it is often insightful to read the output from the Photons contribution to the various spectra table, as shown below,
Photons contributing to the various spectra
Inwind Scat Esc Star >nscat err Absorb Disk sec Adiab(matom)
0 0 3455 0 0 0 0 0 0 0
0 0 3455 0 0 0 0 0 0 0
0 0 427 0 0 0 0 0 0 0
0 0 1598 0 0 0 0 0 0 0
0 0 1430 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 3313 0 17209 0 169 0 0 0
0 282914 487831 1474 0 0 129 223605 0 0
0 441756 336514 2223 0 0 135 215325 0 0
0 609395 180082 5677 0 0 94 200705 0 0
0 750672 61308 12010 0 0 59 171904 0 0
0 838923 26143 29057 0 0 55 101775 0 0
In the above table, one can see that 17,209 photons which scattered more than
MAXSCAT
times contributed to the the scattered spectrum, suggesting that a large
number of photons were terminated due to too many scatters.
Note
The photon numbers presented in this table are only for the master MPI process. Hence, if running in multiprocessor mode, the number here will never equal the total number of photons in the simulation, but only the number of photons in the current process.