HDF_SQUIDutils : utility functions used for the SQUID noise measurements processing

tesfdmtools.methods.HDF_SQUIDutils.fillgraph(plot, norm_cal, xax=None, ytitle='', xtitle='', ptitle='')

Make plot on page

Args:

• plot = plot instance for plotting

• norm_cal = array with values to be plotted

Kwargs:

• xax = X-axis values

• ytitle = Title for Y-axis

• xtitle = Title for X-axis

• ptitle = Title for plot

Returns:

• pl = plotted object

tesfdmtools.methods.HDF_SQUIDutils.fillplot(plot, image, xax=None, yax=None, xtitle='', ytitle='', ptitle='', vrange=[0.001, 2.0], compress=5000, xlim=[500.0, 10000.0])

Plot image of 2-dim set of stacked spectra into given plot instance. It will use of logarithmic scale for the X-axis

Args:

• plot = plot instance for plotting

• image = 2-dim set of stacked spectra

Kwargs:

• xax = X axis values for image (frequency axis)

• yax = Y axis values for image

• xtitle = title for X axis

• ytitle = title for Y axis

• ptitle = plot title

• vrange = range for colorscale

• compress = number of bins for logarithmically sampled X-axis

• xlim = range for X-axis

Returns:

• im = plotted object

tesfdmtools.methods.HDF_SQUIDutils.getspectra(filename, ext='squidnoise')

Get the spectra and axes from the ‘squidnoise’ extension in the given HDF file

Args:

• filename = file name of the HDF file

Kwargs:

• ext = extension of the SQUID data in the file

Returns:

• hdf = open hdf file object

• data = dictionary containing all the squidnoise data and axes information

tesfdmtools.methods.HDF_SQUIDutils.logindx(linsize, compress=5000)

Compute logarithmically spaced indices, pointing to a given linear size.

Args:

• linsize = linear size of index table

Kwargs:

• compress = number of logarithmically spaced indices to generate

Returns:

• index = array of logarithmically spaced index pointers (floats)