def measure_efficiency(filenames, threshold, live_time_program = "lalapps_power", upper_limit_scale = "E", tmp_path = None, verbose = False):
# FIXME: instruments are hard-coded. bad bad bad. sigh...
if upper_limit_scale == "E":
efficiency = EfficiencyData(("H1", "H2", "L1"), (lambda sim, instrument: sim.egw_over_rsquared), r"Equivalent Isotropic Energy ($M_{\odot} / \mathrm{pc}^{2}$)", 0.1)
elif upper_limit_scale == "hrss":
efficiency = EfficiencyData(("H1", "H2", "L1"), (lambda sim, instrument: sim.hrss), r"$h_{\mathrm{rss}}$", 0.1)
else:
raise ValueError("bad upper_limit_scale %s" % repr(upper_limit_scale))
#
# Iterate over injection files.
#
for n, filename in enumerate(filenames):
#
# Open the database file.
#
if verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), file=sys.stderr)
working_filename = dbtables.get_connection_filename(filename, tmp_path = tmp_path, verbose = verbose)
connection = sqlite3.connect(str(working_filename))
connection.create_function("coinc_detection_statistic", 2, coinc_detection_statistic)
database = SnglBurstUtils.CoincDatabase(connection, live_time_program)
if verbose:
SnglBurstUtils.summarize_coinc_database(database)
#
# Process database contents.
#
efficiency.add_contents(database, threshold)
#
# Done with this file.
#
database.connection.close()
dbtables.discard_connection_filename(filename, working_filename, verbose = verbose)
#
# Compute efficiency from the data that have been collected
#
if verbose:
print("binning and smoothnig efficiency data ...", file=sys.stderr)
efficiency.finish(threshold)
#
# Done
#
return efficiency
def measure_threshold(filenames, n_survivors, live_time_program = "lalapps_power", tmp_path = None, open_box = False, verbose = False):
#
# Initialize the book-keeping object.
#
rate_vs_threshold_data = RateVsThresholdData()
#
# Iterate over non-injection files.
#
for n, filename in enumerate(filenames):
#
# Open the database file.
#
if verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), file=sys.stderr)
working_filename = dbtables.get_connection_filename(filename, tmp_path = tmp_path, verbose = verbose)
database = SnglBurstUtils.CoincDatabase(sqlite3.connect(str(working_filename)), live_time_program)
if verbose:
SnglBurstUtils.summarize_coinc_database(database)
#
# Process database contents.
#
rate_vs_threshold_data.update_from(database, filename = filename, verbose = verbose)
#
# Done with this file.
#
database.connection.close()
dbtables.discard_connection_filename(filename, working_filename, verbose = verbose)
#
# Determine likelihood threshold.
#
if verbose:
print("finishing rate vs. threshold measurement ...", file=sys.stderr)
rate_vs_threshold_data.finish(n_survivors, open_box = open_box, verbose = verbose)
#
# Done.
#
return rate_vs_threshold_data
def process_file(filename, products, live_time_program, tmp_path = None, veto_segments_name = None, verbose = False):
#
# connect to database and summarize contents
#
working_filename = dbtables.get_connection_filename(filename, tmp_path = tmp_path, verbose = verbose)
contents = SnglBurstUtils.CoincDatabase(sqlite3.connect(working_filename), live_time_program, search = "StringCusp", veto_segments_name = veto_segments_name)
if verbose:
SnglBurstUtils.summarize_coinc_database(contents, filename = working_filename)
#
# augment summary with extra stuff we need. the filename
# is recorded for dumping debuggin information related to
# missed injections. if burca was run with the
# --coincidence-segments option then the value is copied
# into a segmentlistdict to facilitate the computation of
# livetime
#
contents.filename = filename
contents.coincidence_segments = ligolwprocess.get_process_params(contents.xmldoc, "lalapps_burca", "--coincidence-segments")
if contents.coincidence_segments:
# as a side-effect, this enforces the rule that
# burca has been run on the input file exactly once
contents.coincidence_segments, = contents.coincidence_segments
contents.coincidence_segments = segments.segmentlistdict.fromkeys(contents.seglists, segmentsUtils.from_range_strings(contents.coincidence_segments.split(","), boundtype = dbtables.lsctables.LIGOTimeGPS).coalesce())
else:
contents.coincidence_segments = None
#
# process contents
#
for n, product in enumerate(products):
if verbose:
print >>sys.stderr, "%s: adding to product %d ..." % (working_filename, n)
product.add_contents(contents, verbose = verbose)
#
# close
#
contents.connection.close()
dbtables.discard_connection_filename(filename, working_filename, verbose = verbose)
working_filename = dbtables.get_connection_filename(
filename, tmp_path=options.tmp_space, verbose=options.verbose)
connection = sqlite3.connect(working_filename)
if options.tmp_space is not None:
dbtables.set_temp_store_directory(connection,
options.tmp_space,
verbose=options.verbose)
#
# Summarize the database.
#
contents = SnglBurstUtils.CoincDatabase(
connection,
live_time_program="StringSearch",
search="StringCusp",
veto_segments_name=options.vetoes_name)
if options.verbose:
SnglBurstUtils.summarize_coinc_database(contents)
if not contents.seglists and options.verbose:
print >> sys.stderr, "\twarning: no segments found"
#
# Build triangulators. The timing uncertainty of +/- 8e-5 s was
# measured with lalapps_string_plot_binj and is essentially
# identical for H1, H2, L1, and V1.
#
triangulators = stringutils.triangulators(
dict((instrument, 8e-5) for instrument in contents.instruments))
plots = [plots[i] for i in options.plot]
#
# Process files
#
for n, filename in enumerate(
ligolw_utils.sort_files_by_size(filenames,
options.verbose,
reverse=True)):
if options.verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), file=sys.stderr)
working_filename = dbtables.get_connection_filename(
filename, tmp_path=options.tmp_space, verbose=options.verbose)
database = SnglBurstUtils.CoincDatabase(sqlite3.connect(working_filename),
options.live_time_program,
search="StringCusp")
if options.verbose:
SnglBurstUtils.summarize_coinc_database(database)
is_injection_db = "sim_burst" in dbtables.get_table_names(
database.connection)
if is_injection_db:
database.connection.cursor().execute(
"""
CREATE TEMPORARY TABLE
sim_burst_map
AS
SELECT
a.event_id AS simulation_id,
a.coinc_event_id AS coinc_event_id,
b.event_id AS event_id
def dump_confidence_likelihood_scatter_data(globs, live_time_program = "lalapps_power", tmp_path = None, verbose = False):
#
# Collect file names.
#
if verbose:
print("building file list ...", file=sys.stderr)
filenames = sorted(filename for g in globs for filename in glob.glob(g))
#
# Initialize storage.
#
injections = []
background = []
zero_lag = []
#
# Iterate over files.
#
for n, filename in enumerate(filenames):
#
# Open the database file.
#
if verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), file=sys.stderr)
working_filename = dbtables.get_connection_filename(filename, tmp_path = tmp_path, verbose = verbose)
connection = sqlite3.connect(working_filename)
connection.create_function("coinc_detection_statistic", 2, coinc_detection_statistic)
database = SnglBurstUtils.CoincDatabase(connection, live_time_program)
if verbose:
SnglBurstUtils.summarize_coinc_database(database)
#
# Process database contents. Assume all files with
# sim_burst tables are the outputs of injection runs, and
# others aren't.
#
if database.sim_burst_table is None:
# non-injections
for id, l, c, is_background in bb_id_likelihood_confidence_background(database):
record = (coinc_detection_statistic(l, c), l, c)
if is_background:
if len(background) < 1e6:
heapq.heappush(background, record)
else:
heapq.heappushpop(background, record)
else:
if len(zero_lag) < 1e6:
heapq.heappush(zero_lag, record)
else:
heapq.heappushpop(zero_ag, record)
else:
# injections
create_sim_coinc_map_view(database.connection)
for a, l, c in database.connection.cursor().execute("""
SELECT
burst_coinc_amplitude,
burst_coinc_likelihood,
burst_coinc_confidence
FROM
sim_coinc_map
WHERE
sim_coinc_def_id == ?
""", (database.sce_definer_id,)):
record = (-a, l, c)
if len(injections) < 1e6:
heapq.heappush(injections, record)
else:
heapq.heappushpop(injections, record)
#
# Done with this file.
#
database.connection.close()
dbtables.discard_connection_filename(filename, working_filename, verbose = verbose)
#
# Dump scatter plot data.
#
if verbose:
print("writing scatter plot data ...", file=sys.stderr)
f = file("lalapps_excesspowerfinal_background_scatter.dat", "w")
for a, l, c in background:
print("%.16g %.16g" % (l, c), file=f)
f = file("lalapps_excesspowerfinal_zero_lag_scatter.dat", "w")
for a, l, c in zero_lag:
print("%.16g %.16g" % (l, c), file=f)
f = file("lalapps_excesspowerfinal_injections_scatter.dat", "w")
for a, l, c in injections:
print("%.16g %.16g" % (l, c), file=f)
if verbose:
print("done.", file=sys.stderr)
)
JOIN sngl_burst ON (
b.table_name == 'sngl_burst'
AND b.event_id == sngl_burst.event_id
)
WHERE
a.table_name == 'sim_burst'
AND a.event_id == sim_burst.simulation_id
AND sngl_burst.ifo == ?
)
""", (instrument, )):
yield contents.sim_burst_table.row_from_cols(values)
for n, filename in enumerate(filenames):
if options.verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), file=sys.stderr)
database = SnglBurstUtils.CoincDatabase(sqlite3.connect(filename),
"lalapps_power")
if options.verbose:
SnglBurstUtils.summarize_coinc_database(database)
for instrument in database.instruments:
for sim in found_injections(database, instrument):
plotname = "%s%d_%s.%s" % (
options.base, sim.time_at_instrument(instrument).seconds,
instrument, options.format)
if options.verbose:
print("--> %s" % plotname, file=sys.stderr)
time_freq_plot(database, instrument, sim).savefig(plotname)
database.connection.close()
return [l[i] for i in plots]
options, filenames = parse_command_line()
plots = new_plots(options.plot)
for n, filename in enumerate(
ligolw_utils.sort_files_by_size(filenames,
options.verbose,
reverse=True)[options.skip:]):
if options.verbose:
print("%d/%d: %s" % (n + 1, len(filenames) - options.skip, filename),
file=sys.stderr)
database = SnglBurstUtils.CoincDatabase(sqlite3.connect(filename),
options.live_time_program)
if options.verbose:
SnglBurstUtils.summarize_coinc_database(database)
for n, plot in zip(options.plot, plots):
if options.verbose:
print("adding to burca plot %d ..." % n, file=sys.stderr)
plot.add_contents(database)
database.connection.close()
# delete the plots as we go to save memory
n = 0
format = "%%s%%0%dd.%%s" % (int(math.log10(max(options.plot) or 1)) + 1)
while len(plots):
filename = format % (options.base, options.plot[n], options.format)
cached_likelihood_files = set()
for n, filename in enumerate(filenames):
#
# Open the file.
#
if options.verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), file=sys.stderr)
working_filename = dbtables.get_connection_filename(
filename, tmp_path=options.tmp_space, verbose=options.verbose)
connection = sqlite3.connect(working_filename)
connection.execute("PRAGMA temp_store_directory = '%s';" %
dbtables.tempfile.gettempdir())
database = SnglBurstUtils.CoincDatabase(connection, options.program)
if options.verbose:
SnglBurstUtils.summarize_coinc_database(database)
#
# Retrieve appropriate likelihood data.
#
if options.likelihood_data_cache:
likelihood_files = set(
c.path for c in options.likelihood_data_cache
if c.segmentlistdict.intersects(database.seglists))
else:
likelihood_files = options.likelihood_data
if likelihood_files != cached_likelihood_files:
distributions = load_likelihood_data(likelihood_files,
if options.verbose:
print >> sys.stderr, "%d/%d: %s" % (n + 1, len(filenames), filename)
working_filename = dbtables.get_connection_filename(
filename, tmp_path=options.tmp_space, verbose=options.verbose)
connection = sqlite3.connect(working_filename)
connection.execute("PRAGMA synchronous = OFF;")
connection.execute("PRAGMA temp_store_directory = '%s';" %
dbtables.tempfile.gettempdir())
#
# Summarize the database.
#
database = SnglBurstUtils.CoincDatabase(connection,
options.live_time_program)
if options.verbose:
SnglBurstUtils.summarize_coinc_database(database)
segs |= database.seglists
#
# Record statistics. Assume all files with sim_burst tables are
# the outputs of injection runs, and others aren't.
#
if database.sim_burst_table is None:
# iterate over burst<-->burst coincs
for is_background, events, offsetvector in database.get_noninjections(
):
params = distributions.coinc_params(events, offsetvector,
MW_CENTER_J2000_RA_RAD,
if options.verbose:
print >> sys.stderr, "%d/%d: %s" % (n + 1, len(filenames), filename),
working_filename = dbtables.get_connection_filename(
filename, tmp_path=options.tmp_space, verbose=options.verbose)
connection = sqlite3.connect(working_filename)
connection.execute("PRAGMA synchronous = OFF;")
connection.execute("PRAGMA temp_store_directory = '%s';" %
dbtables.tempfile.gettempdir())
#
# Apply vetoes
#
apply_excess_power_veto(SnglBurstUtils.CoincDatabase(
connection, "lalapps_power"),
veto_segs,
verbose=options.verbose)
#
# Clean up
#
if options.verbose:
print >> sys.stderr, "committing ..."
connection.commit()
if not options.no_vacuum:
if options.verbose:
print >> sys.stderr, "vacuuming ..."
connection.cursor().execute("VACUUM;")
connection.close()
# Open the database file.
#
if options.verbose:
print("%d/%d: %s" % (n + 1, len(filenames), filename), end=' ', file=sys.stderr)
working_filename = dbtables.get_connection_filename(filename, tmp_path = options.tmp_space, verbose = options.verbose)
connection = sqlite3.connect(working_filename)
connection.execute("PRAGMA synchronous = OFF;")
connection.execute("PRAGMA temp_store_directory = '%s';" % dbtables.tempfile.gettempdir())
#
# Apply vetoes
#
apply_excess_power_veto(SnglBurstUtils.CoincDatabase(connection, "lalapps_power"), veto_segs, verbose = options.verbose)
#
# Clean up
#
if options.verbose:
print("committing ...", file=sys.stderr)
connection.commit()
if not options.no_vacuum:
if options.verbose:
print("vacuuming ...", file=sys.stderr)
connection.cursor().execute("VACUUM;")
connection.close()
del connection
dbtables.put_connection_filename(filename, working_filename, verbose = options.verbose)
