[eng] For the first time, scientists have observed ripples in the fabric of space-time called gravitational
waves, arriving at Earth from a cataclysmic event in the distant Universe. These
gravitational waves were detected on September 14, 2015 at 9:51 a.m. UTC by both of the twin
Laser Interferometer Gravitational-wave Observatory (LIGO) detectors. This confirms a major
prediction of Albert Einstein’s 1915 theory of general relativity and opens an unprecedented
new window onto the cosmos.
Isolated spinning neutron stars in our galaxy are also among the targets of the ground-based
interferometric gravitational wave detectors. If these stars are not perfectly symmetric about
their axis of rotation, e.g. if they have a “mountain” on their surface, they are expected to emit
continuous gravitational waves (CW). This thesis is devoted to the characterization of a search
method for continuous gravitational wave signals from unknown sources - neutron stars that do
not beam a radio signal in Earth’s direction - using the Hough transform.
Unlike searches for gravitational waves from pulsars (whose locations, gravitational wave emission
frequencies, and spin-down rates are well known), searches for electromagnetically quiet
sources require algorithms which look at vastly larger parameter spaces: all sky directions, all
frequencies, and all spin-down rates. In addition, the algorithms have to account for “rapid”
modulation of the signal due to Earth’s rotation (both Doppler modulation of the frequency and
amplitude modulation due to the diurnal change in detector antenna pattern) and the slower
modulation due to Earth’s orbit around the sun. Unfortunately, this is a computationally intractable
problem: there is not enough computing power available to search such a large and
essentially continuous parameter space in sky position, frequency, and spin-down rate as well
as in gravitational wave polarization. Using optimal search methods, the UIB Relativity and
Gravitation group efforts focus on making all-sky CW searches computationally manageable,
that is on the development of effective computational methods using limited computing power
by taking a first pass at the data using computationally inexpensive methods, for identifying
interesting candidates or regions in parameter space and then performing follow-up searches with much more precise (and computationally expensive) methods over a much more restricted
region. Although other methods exist, the UIB group has devised a clever technique based on
the Hough transform that partially immunizes the computationally cheap search against instrumental
artefacts that naturally pollute the experimental interferometer data. These methods
have served as the basis for a number of continuous wave searches during initial LIGO.
Currently I am involved in a number of refinements using this Hough transform method
that will allow to follow weaker signals without increasing the computational cost, and I have
contributed to the Continuous Wave Mock Data Challenge - a chance to explore the capabilities
of the search algorithms within the LIGO-Virgo Continuous Wave working group - as well as to
the analysis of Advanced LIGO O1 data.