nenupytf.read.lane

Lane¶

Test de docstring

class nenupytf.read.lane.Lane(spectrum)[source]¶

Bases: object

Class to properly handle opening of one ‘*.spectra’ file for a specific lane.

Parameters:	spectrum (str) – Complete path towards a ‘*.spectra’ file

memdata¶

Memory map obejct containing the decoded binary data

Type:	`numpy.memmap`

lane¶

Land index corresponding to the file

Type:	int

sfile¶

Absolute path towards the ‘*.spectra’ file

Type:	str

idx¶

Type:	int

freq_min¶

Minimal observed frequency in MHz

Type:	float

freq_max¶

Maximal observed frequency in MHz

Type:	float

time_min¶

Minimal observed time

Type:	`astropy.time.Time`

time_max¶

maximal observed time

Type:	`astropy.time.Time`

fftlen¶

Number of frequencies within each channel

Type:	int

nfft2int¶

Type:	int

fftovlp¶

Type:	int

apodisation¶

Type:	int

nffte¶

Type:	int

nbchan¶

Number of frequency channels

Type:	int

average(stokes='I', time=None, freq=None, beam=None, dt=None, df=None)[source]¶

Average a dynamic spectrum in time and frequency

Parameters:	time (list) – Length-2 list of time range (ISO or ISOT format) e.g.: `time=['2019-03-20T11:59:00.0', '2019-03-20T12:20:00.0']` Default: `None` whole time range selection. stokes (str) – Stokes parameter required (I, Q, U, V, fracV) Default: `'I'` freq (list) – Length-2 list of frequency range (in MHz) e.g.: `freq=[30, 35]` Default: `None` whole frequency range selection. beam (int) – Beam index, refer to observation setup to see the details of the different observed beams. Default: `None` consider index 0. dt (float) – Time steps in seconds df (float) – Frequency steps in MHz
Returns:	spec – SpecData object containing the time, the frequency and the data
Return type:	`SpecData`

beam¶

Selected beam index.

Parameters:	beam (int) – Selected beam index

freq¶

Selected frequency range in MHz.

Parameters:	freq (list) – Length-2 list of frequencies
Returns:	freq – Length-2 list of frequencies
Return type:	list

freq_max: Maximal observed frequency in MHz

freq_min: Minimal observed frequency in MHz

frequencies¶: Array of frequencies in MHz corresponding to the selected beam.

select(stokes='I', time=None, freq=None, beam=None, bp_corr=True)[source]¶

Select data within a lane file. If the selection appears to be too big regarding available memory, an error should be raised. However as rough estimate, try to avoid time range of more than 15 min and/or frequency range of more than 10 MHz…

Parameters:	time (list) – Length-2 list of time range (ISO or ISOT format) e.g.: `time=['2019-03-20T11:59:00.0', '2019-03-20T12:20:00.0']` Default: `None` whole time range selection. stokes (str) – Stokes parameter required (I, Q, U, V, fracV) Default: `'I'` freq (list) – Length-2 list of frequency range (in MHz) e.g.: `freq=[30, 35]` Default: `None` whole frequency range selection. beam (int) – Beam index, refer to observation setup to see the details of the different observed beams. Default: `None` consider index 0. bp_corr (bool or int, optional, default: `True) – Compute the bandpass correction. `False`: do not compute any correction True`: compute the correction with Kaiser coefficients `'median'`: compute a medianed correction `'fft'`: correct the bandpass using FFT
Returns:	spec – SpecData object containing the time, the frequency and the data
Return type:	`SpecData`

sfile

time¶

Selected time range

Parameters:	time (list) – Length-2 list of time in ISO/ISOT or unix.
Returns:	time – length-2 list of unix timestamps
Return type:	list

time_max: Maximal observed time. astropy.Time object

time_min: Minimal observed time. astropy.Time object