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Astrocook

Synthetic cookbook

Table of contents

  1. Synthetic spectrum from structures
  2. Synthetic spectrum from systems
  3. Synthetic spectrum from random systems

Synthetic spectrum from structures

Method CookbookSynthetic.spec_from_struct
Parameters
  • x: Expression for wavelength-like array
  • y: Expression for flux-like array
  • dy: Expression for the error on y
JSON template 
{
  "cookbook": "cb",
  "recipe": "spec_from_struct",
  "params": {
    "x": "'0,spec,x'",
    "y": "'0,spec,y'",
    "dy": "'0,spec,y'"
  }
}

Create a synthetic spectrum from existing structures (a wavelenght-like array and a flux-like array). The structure expressions must be parsable by AST, with columns described by a string with the session number, the structure tag (spec, lines, systs), and the column name separated by a comma (e.g. 0,spec,x, meaning “column x of spectrum from session 0”). A gaussian noise is added to the spectrum to match a given signal-to-noise ratio. A new session is created with the synthetic spectrum.

Synthetic spectrum from systems

Method CookbookSynthetic.spec_from_systs
Parameters
  • x: Expression for wavelength-like array
  • dy: Expression for the error on y
  • sess: Number of the session with the systems
  • resol: Resolution
JSON template 
{
  "cookbook": "cb",
  "recipe": "spec_from_systs",
  "params": {
    "x": "'0,spec,x'",
    "dy": "'0,spec,dy'",
    "sess": "'0'",
    "resol": "null"
  }
}

Create a synthetic spectrum from a list of systems taken from an existing session.

Synthetic spectrum from random systems

Method CookbookSynthetic.spec_from_systs_random
Parameters
  • n: Number of systems
  • series: Series of transitions
  • z_min: Minimum redshift
  • z_max: Maximum redshift
  • z_seed: Seed for random sampling in [z_min, z_max]
  • logN_min: Minimum (logarithmic) column density
  • logN_max: Maximum (logarithmic) column density
  • logN_seed: Seed for random sampling in [logN_min, logN_max]
  • b_min: Minimum Doppler broadening
  • b_max: Maximum Doppler broadening
  • b_seed: Seed for random sampling in [b_min, b_max]
  • resol: Resolution
  • snr: Signal-to-noise ratio
  • append: Append systems to existing system list
JSON template 
{
  "cookbook": "cb",
  "recipe": "spec_from_systs_random",
  "params": {
    "n": "n",
    "series": "'Ly-a'",
    "z_min": "0",
    "z_max": "6",
    "z_seed": "null",
    "logN_min": "10",
    "logN_max": "18",
    "logN_seed": "null",
    "b_min": "1.0",
    "b_max": "100.0",
    "b_seed": "null",
    "resol": "null",
    "snr": "null",
    "append": "true"
  }
}

Create a synthetic spectrum from a list of systems with random redshifts, column density, and Doppler broadening.