ObservationList

class gammapy.data.ObservationList(initlist=None)

Bases: collections.UserList

List of DataStoreObservation.

Could be extended to hold a more generic class of observations.

Methods Summary

append(item)	S.append(value) – append value to the end of the sequence
clear()
copy()
count(value)
extend(other)	S.extend(iterable) – extend sequence by appending elements from the iterable
index(value, [start, [stop]])	Raises ValueError if the value is not present.
insert(i, item)	S.insert(index, value) – insert value before index
make_mean_edisp(position, e_true, e_reco[, …])	Compute mean energy dispersion.
make_mean_psf(position[, energy, rad])	Compute mean energy-dependent PSF.
pop([index])	Raise IndexError if list is empty or index is out of range.
remove(item)	S.remove(value) – remove first occurrence of value.
reverse()	S.reverse() – reverse IN PLACE
sort(*args, **kwds)

Methods Documentation

append(item)

S.append(value) – append value to the end of the sequence

clear() → None -- remove all items from S

copy()

count(value) → integer -- return number of occurrences of value

extend(other)

S.extend(iterable) – extend sequence by appending elements from the iterable

index(value[, start[, stop]]) → integer -- return first index of value.

Raises ValueError if the value is not present.

insert(i, item)

S.insert(index, value) – insert value before index

make_mean_edisp(position, e_true, e_reco, low_reco_threshold=<Energy 0.002 TeV>, high_reco_threshold=<Energy 150. TeV>)

Compute mean energy dispersion.

Compute the mean edisp of a set of observations j at a given position

The stacking is implemented in stack_edisp()

Parameters:

position : SkyCoord

Position at which to compute the mean EDISP

e_true : EnergyBounds

True energy axis

e_reco : EnergyBounds

Reconstructed energy axis

low_reco_threshold : Energy

low energy threshold in reco energy, default 0.002 TeV

high_reco_threshold : Energy

high energy threshold in reco energy , default 150 TeV

Returns:

stacked_edisp : EnergyDispersion

Stacked EDISP for a set of observation

make_mean_psf(position, energy=None, rad=None)

Compute mean energy-dependent PSF.

Parameters:

position : SkyCoord

Position at which to compute the PSF

energy : Quantity

1-dim energy array for the output PSF. If none is given, the energy array of the PSF from the first observation is used.

rad : Angle

1-dim offset wrt source position array for the output PSF. If none is given, the energy array of the PSF from the first observation is used.

Returns:

psf : EnergyDependentTablePSF

Mean PSF

pop([index]) → item -- remove and return item at index (default last).

Raise IndexError if list is empty or index is out of range.

remove(item)

S.remove(value) – remove first occurrence of value. Raise ValueError if the value is not present.

reverse()

S.reverse() – reverse IN PLACE

sort(*args, **kwds)