Filter¶

class
sedfitter.filter.
Filter
(name=None, central_wavelength=None, nu=None, response=None)¶ Bases:
object
A filter used to convolve SED models.
Parameters:  name : str
The name of the filter (typically short and with no spaces, such as
2K
or 2MASS Kband orI1
for IRAC 3.6 microns). central_wavelength :
Quantity
The central wavelength (in units of length)
 nu :
Quantity
The frequencies at which the filter is defined.
 response : numpy.ndarray
The relative response at the different frequencies. Note that this should already take into account the assumptions about whether this is the response per photon or energy, and any other assumptions about converting the SED to a monochromatic flux. See the documentation for more details.
Attributes Summary
central_wavelength
The central or characteristic wavelength of the filter nu
The frequencies at which the filter is defined response
The filter response Methods Summary
normalize
()Normalize so the integral over nu is 1 read
(filename)Read a filter from a file. rebin
(nu_new)Rebin the filter onto a new frequency grid Attributes Documentation

central_wavelength
¶ The central or characteristic wavelength of the filter

nu
¶ The frequencies at which the filter is defined

response
¶ The filter response
Methods Documentation

normalize
()¶ Normalize so the integral over nu is 1

classmethod
read
(filename)¶ Read a filter from a file.
This method assumes that the file contains a column with wavelengths (in micron) and the other column contains the response. It also assumes that the first line contains a header with the central wavelength (in microns), using the following syntax:
# wav = 1.25
Parameters:  filename: str
The name of the file containing the filter

rebin
(nu_new)¶ Rebin the filter onto a new frequency grid
Parameters:  nu_new: np.ndarray
The new frequency grid
Returns:  filter: Filter
The binned filter