Skip to main content

Converting units in Spectral-Energy-Distributions.

Project description

TestStatus PyPiStatus BlackStyle PackStyleBlack

In Astronomy, SEDs can have different styles. The style effects the units and sometimes multiplies the y -axis with a power-law depending on the x -axis. But to compare findings we have to transform to a single style. This function helps you to transform between sed-styles. Here are example sed-styles A , B , C , and D showing the differential flux of Crab, and the integral sensitivity of Fermi-LAT.

A

B

ImgSedFermi

ImgSedMy

A = {
    "x_energy_in_eV": 1e6,
    "y_inverse_energy_in_eV": 624150907446.0763,  # one erg
    "y_inverse_area_in_m2": 1e-4,
    "y_inverse_time_in_s": 1.0,
    "y_scale_energy_in_eV": 624150907446.0763,  # one erg
    "y_scale_energy_power": 2.0,
}

B = {
    "x_energy_in_eV": 1e9,
    "y_inverse_energy_in_eV": 1e9,
    "y_inverse_area_in_m2": 1.0,
    "y_inverse_time_in_s": 1.0,
    "y_scale_energy_in_eV": 1e9,
    "y_scale_energy_power": 0.0,
}

C

D

ImgSedCosmic

ImgSedCrab

C = {
    "x_energy_in_eV": 1,
    "y_inverse_energy_in_eV": 1,
    "y_inverse_area_in_m2": 1,
    "y_inverse_time_in_s": 1.0,
    "y_scale_energy_in_eV": 1,
    "y_scale_energy_power": 2.7,
}

D = {
    "x_energy_in_eV": 1e9,
    "y_inverse_energy_in_eV": 1e12,
    "y_inverse_area_in_m2": 1e-4,
    "y_inverse_time_in_s": 1.0,
    "y_scale_energy_in_eV": 1e12,
    "y_scale_energy_power": 2.0,
}

Function

Transform the numeric values in the arrays x -axis, and y -axis from style A to B.

import spectral_energy_distribution_units as sed
x_B, y_B = sed.convert_units_with_style(x=x_A, y=y_A, input_style=A, target_style=B)

Find also a function for the style-dictionaries A and B being unpacked:

x_B, y_B = sed.convert_units(x=x_A, y=y_A, x_energy_in_eV=... )

Install

pip install spectral_energy_distribution_units

Example

See unit-tests ./spectral_energy_distribution_units/tests/test_convert.py to reproduce the upper figures A , B , C , and D.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page