diff git a/procedures/searches.rst b/procedures/searches.rst
index 7b896ef0119cd23a54df2aa2184653e47dc735aa..997e4ef3778584c3c5c348fd90b19bb59ac11618 100644
 a/procedures/searches.rst
+++ b/procedures/searches.rst
@@ 23,16 +23,16 @@ mass BBH systems. However, GstLAL and PyCBC Live and SPIIR also include
intermediatemass BBH systems and the O3 banks differ in detail from pipeline
to pipeline.
A coincident analysis is performed by GSTLAL, PyCBC Live, and MBTAOnline, where
candidate events are extracted separately at each detector via
matchedfiltering and later combined across detectors. SPIIR extract candidates
of each detector via matchedfiltering and look for coherent responses in other
detectors so that a sky localization of the source can be constructed. Of the
four pipelines, GstLAL and MBTAOnline use several banks of matched filters to
cover the detector bandwidth, i.e., the templates are split across multiple
frequency bands. All pipelines also implement different kinds of signalbased
vetoes to reject instrumental transients which cause large SNR values but can
otherwise be easily distinguished from compact binary coalescence signals.
+A coincident analysis is performed by all pipelines, where candidate events are
+extracted separately from each detector via matchedfiltering and later
+combined across detectors. SPIIR extracts candidates from each detector via
+matchedfiltering and looks for coherent responses from the other detectors to
+provide source localization. Of the four pipelines, GstLAL and MBTAOnline use
+several banks of matched filters to cover the detectors bandwidth, i.e., the
+templates are split across multiple frequency bands. All pipelines also
+implement different kinds of signalbased vetoes to reject instrumental
+transients that cause large SNR values but can otherwise be easily
+distinguished from compact binary coalescence signals.
**GSTLAL** [#GSTLAL1]_ [#GSTLAL2]_ is a matchedfilter pipeline designed to
find gravitational waves from compact binaries in lowlatency. It uses a
@@ 41,13 +41,6 @@ rank candidates, and then uses Monte Carlo sampling methods to estimate the
distribution of likelihoodratios in noise. This distribution can then be used
to compute a false alarm rate and pvalue.
**SPIIR** [#SPIIR]_ [#SPIIRThesis]_ applies summed parallel infinite impulse
response (IIR) filters to approximate matchedfiltering results. It selects
highSNR events from each detector and find coherent responses from other
detectors. It constructs background by timeshifting detector data one hundred
times over a week to form a background statistic distribution used to evaluate
foreground candidate significance.

**MBTA** [#MBTA]_ constructs its background by making every possible
coincidence from single detector triggers over a few hours of recent data. It
then folds in the probability of a pair of triggers passing the time
@@ 62,25 +55,33 @@ coincidences are recorded and assigned a ranking statistic; the false alarm
rate is then estimated by counting accidental coincidences louder than a given
candidate, i.e. with a higher statistic value.
+**SPIIR** [#SPIIR]_ [#SPIIRThesis]_ applies summed parallel infinite impulse
+response (IIR) filters to approximate matchedfiltering results. It selects
+highSNR events from each detector and finds coherent responses from other
+detectors. It constructs a background statistical distribution by timeshifting
+detector data one hundred times over a week to evaluate foreground candidate
+significance.
+
Unmodeled Search

**cWB** [#cWB]_ is an excess power algorithm to identify shortduration
gravitational wavelike signals. It uses a wavelet transformation to identify
timefrequency pixels which can be grouped in a single cluster if they satisfy
+gravitational wave signals. It uses a wavelet transformation to identify
+timefrequency pixels that can be grouped in a single cluster if they satisfy
neighboring conditions. A tuned version for compactbinary coalescences chooses
the timefrequency pixels if they mainly follow a pattern that increases in
frequency. A maximumlikelihoodstatistics calculated over the cluster is used
to identify the proper parameter of the event, in particular the probability of
the source direction and the coherent network signaltonoise ratio. The last
one is used to assign detection significance to the found events.
+the source direction and the coherent network signaltonoise ratio. The
+largest likelihood value is used to assign detection significance to the found
+events.
**oLIB** [#oLIB]_ uses the Q transform to decompose GW strain data into several
timefrequency planes of constant quality factors :math:`Q`, where :math:`Q
\sim \tau f_0`. The pipeline flags data segments containing excess power and
searches for clusters of these segments with identical :math:`f_0` and
:math:`Q` spaced within 100 ms of each other. Coincidences among the detector
network of clusters with a timeofflight window up to 10 ms are then analyzed
+network of clusters within a 10 ms light travel time window are then analyzed
with a coherent (i.e., correlated across the detector network) signal model to
identify possible GW candidate events.
@@ 105,7 +106,7 @@ calculation to find joint GW+HEN triggers.
.. [#GSTLAL1]
Messick, C., Blackburn, K., Brady, P., et al. 2017, prd, 95, 042001.
https://doi.org/10.1103/PhysRevD.95.042001

+
.. [#GSTLAL2]
Sachdev, S., Caudill, S., Fong, H., et al. 2019, arXiv, 1901.08580.
https://arxiv.org/abs/1901.08580
@@ 141,11 +142,11 @@ calculation to find joint GW+HEN triggers.
.. [#RAVEN]
Urban, A. L. 2016, Ph.D. Thesis.
http://adsabs.harvard.edu/abs/2016PhDT.........8U

+
.. [#LLAMA1]
Bartos, I., Veske, D., Keivani, A., et al. 2018, arXiv, 1810.11467.
https://arxiv.org/abs/1810.11467

+
.. [#LLAMA2]
Countryman, S., Keivani, A., Bartos, I., et al. 2019, arXiv, 1901.05486.
https://arxiv.org/abs/1901.05486