EffectiveAreaTable

class gammapy.irf.EffectiveAreaTable(energy_lo, energy_hi, data, meta=None)

Bases: object

Effective area table.

TODO: Document

Parameters:

energy_lo, energy_hi : Quantity

Energy axis bin edges

data : Quantity

Effective area

Examples

Plot parametrized effective area for HESS, HESS2 and CTA.

import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u
from gammapy.irf import EffectiveAreaTable

energy = np.logspace(-3, 3, 100) * u.TeV

for instrument in ['HESS', 'HESS2', 'CTA']:
    aeff = EffectiveAreaTable.from_parametrization(energy, instrument)
    ax = aeff.plot(label=instrument)

ax.set_yscale('log')
ax.set_xlim([1e-3, 1e3])
ax.set_ylim([1e3, 1e12])
plt.legend(loc='best')
plt.show()

()

Find energy where the effective area is at 10% of its maximum value

>>> import numpy as np
>>> import astropy.units as u
>>> from gammapy.irf import EffectiveAreaTable
>>> energy = np.logspace(-1, 2) * u.TeV
>>> aeff_max = aeff.max_area
>>> print(aeff_max).to('m2')
156909.413371 m2
>>> energy_threshold = aeff.find_energy(0.1 * aeff_max)
>>> print(energy_threshold)
0.185368478744 TeV

Attributes Summary

energy
max_area	Maximum effective area.

Methods Summary

evaluate_fill_nan(**kwargs)	Modified evaluate function.
find_energy(aeff[, emin, emax])	Find energy for a given effective area.
from_hdulist(hdulist[, hdu])	Create from HDUList.
from_parametrization(energy[, instrument])	Get parametrized effective area.
from_table(table)	Create from Table in ARF format.
plot([ax, energy, show_energy])	Plot effective area.
read(filename[, hdu])	Read from file.
to_hdulist([name])	Convert to HDUList.
to_sherpa(name)	Convert to DataARF
to_table()	Convert to Table in ARF format.
write(filename, **kwargs)	Write to file.

Attributes Documentation

energy

max_area

Maximum effective area.

Methods Documentation

evaluate_fill_nan(**kwargs)

Modified evaluate function.

Calls gammapy.utils.nddata.NDDataArray.evaluate() and replaces possible nan values. Below the finite range the effective area is set to zero and above to value of the last valid note. This is needed since other codes, e.g. sherpa, don’t like nan values in FITS files. Make sure that the replacement happens outside of the energy range, where the EffectiveAreaTable is used.

find_energy(aeff, emin=None, emax=None)

Find energy for a given effective area.

In case the solution is not unique, provide the emin or emax arguments to limit the solution to the given range. By default the peak energy of the effective area is chosen as emax.

Parameters:

aeff : Quantity

Effective area value

emin : Quantity

Lower bracket value in case solution is not unique.

emax : Quantity

Upper bracket value in case solution is not unique.

Returns:

energy : Quantity

Energy corresponding to the given aeff.

classmethod from_hdulist(hdulist, hdu='SPECRESP')

Create from HDUList.

classmethod from_parametrization(energy, instrument='HESS')

Get parametrized effective area.

Parametrizations of the effective areas of different Cherenkov telescopes taken from Appendix B of Abramowski et al. (2010), see http://adsabs.harvard.edu/abs/2010MNRAS.402.1342A .

\[A_{eff}(E) = g_1 \left(\frac{E}{\mathrm{MeV}}\right)^{-g_2}\exp{\left(-\frac{g_3}{E}\right)}\]

Parameters:

energy : Quantity

Energy binning, analytic function is evaluated at log centers

instrument : {‘HESS’, ‘HESS2’, ‘CTA’}

Instrument name

classmethod from_table(table)

Create from Table in ARF format.

Data format specification: ARF

plot(ax=None, energy=None, show_energy=None, **kwargs)

Plot effective area.

Parameters:

ax : Axes, optional

Axis

energy : Quantity

Energy nodes

show_energy : Quantity, optional

Show energy, e.g. threshold, as vertical line

Returns:

ax : Axes

Axis

classmethod read(filename, hdu='SPECRESP')

Read from file.

to_hdulist(name=None)

Convert to HDUList.

to_sherpa(name)

Convert to DataARF

Parameters:

name : str

Instance name

to_table()

Convert to Table in ARF format.

Data format specification: ARF

write(filename, **kwargs)

Write to file.