Commit b830c9ca authored by Aaron Viets's avatar Aaron Viets

Skeleton script for computing TDCFs without digital filter

parent 779a39bc
Pipeline #77745 passed with stages
in 27 minutes and 25 seconds
......@@ -8,9 +8,9 @@ IFO = H
# determines where to look for filters files (e.g., O1, O2, O3, ER10, ER13, ER14, PreER10, PreER13, PreER14)
START = $(shell echo 1246224240 - 256 | bc)
START = $(shell echo 1246211968 - 256 | bc)
END = $(shell echo 1246225240 + 256 | bc)
END = $(shell echo 1246212480 + 256 | bc)
# How much time does the calibration need to settle at the start and end?
#!/usr/bin/env python
# Copyright (C) 2019 Aaron Viets, Jack Mango
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2 of the License, or (at your
# option) any later version.
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# Public License for more details.
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
# =============================================================================
# Preamble
# =============================================================================
# This first section "imports" python packages (other codes) that we will need
# to use.
import numpy # numpy is a library for python, including arrays and matrices,
# as well as mathematical functions.
import sys # another Python thing
import os
import time
from math import pi
import resource
import datetime
import time
from gstlal import pipeparts
# pipeparts is from gstlal. It contains python functions to build GStreamer
# pipelines. You can see the code here:
# /home/
from gstlal import calibration_parts
# calibration_parts includes more pipeline-building tools:
# /home/
from gstlal import test_common # More pipeline-building and testing tools in this directory
from gi.repository import Gst # gstreamer stuff
from optparse import OptionParser, Option # Allows us to take in command line options
import ConfigParser
import gi
gi.require_version('Gst', '1.0')
from gi.repository import GObject, Gst
import lal
from lal import LIGOTimeGPS
from gstlal import simplehandler
from gstlal import datasource
from ligo import segments
# Parsing command line options
parser = OptionParser()
parser.add_option("--gps-start-time", metavar = "seconds", type = int, help = "GPS time at which to start processing data")
parser.add_option("--gps-end-time", metavar = "seconds", type = int, help = "GPS time at which to stop processing data")
parser.add_option("--ifo", metavar = "name", type = str, help = "Name of the interferometer (IFO), e.g., H1, L1")
parser.add_option("--frame-cache", metavar = "name", type = str, help = "Name of frame cache file that contains the raw data")
parser.add_option("--f1", metavar = "Hz", type = float, default = 17.1, help = "The frequency (in Hz) of the first Pcal line. For O3, it's 17.1 Hz at H1 and 16.3 Hz at L1. Default is H1's frequency, 17.1 Hz")
parser.add_option("--f2", metavar = "Hz", type = float, default = 410.3, help = "The frequency (in Hz) of the second Pcal line. For O3, it's 410.3 Hz at H1 and 434.9 Hz at L1. Default is H1's frequency, 410.3 Hz")
parser.add_option("--fT", metavar = "Hz", type = float, default = 17.6, help = "The frequency (in Hz) of the TST/L3/ESD line. For O3, it's 17.6 Hz at H1 and 16.9 Hz at L1. Default is H1's frequency, 17.6 Hz")
parser.add_option("--fP", metavar = "Hz", type = float, default = 16.4, help = "The frequency (in Hz) of the PUM/L2 line. For O3, it's 16.4 Hz at H1 and 15.7 Hz at L1. Default is H1's frequency, 16.4 Hz")
parser.add_option("--fU", metavar = "Hz", type = float, default = 15.6, help = "The frequency (in Hz) of the UIM/L1 line. For O3, it's 15.6 Hz at H1 and 15.1 Hz at L1. Default is H1's frequency, 15.6 Hz")
options, filenames = parser.parse_args()
# shortcut names for options we use frequently
ifo = options.ifo
frame_cache = options.frame_cache
f1 = options.f1
f2 = options.f2
fT = options.fT
fP = options.fP
fU = options.fU
# =============================================================================
# Pipelines
# =============================================================================
# This pipeline reads in raw LIGO data. As of now, it just demodulates the
# error signal and writes the result to a file. For reference, here are the
# current frequencies of the calibration lines at both H1 and L1:
# Name | H1 frequency (Hz) | L1 frequency (Hz) | Injected using
# f_1 | 17.1 | 16.3 | Pcal
# f_2 | 410.3 | 434.9 | Pcal
# f_T | 17.6 | 16.9 | TST actuator
# f_P | 16.4 | 15.7 | PUM actuator
# f_U | 15.6 | 15.1 | UIM actuator
# the channel list below helps the demuxer sort through the channels faster
channel_list = [(ifo, "CAL-DARM_ERR_DBL_DQ"), (ifo, "CAL-DARM_CTRL_DBL_DQ"), (ifo, "CAL-PCALY_RX_PD_OUT_DQ"), (ifo, "SUS-ETMX_L3_CAL_LINE_OUT_DQ"), (ifo, "SUS-ETMX_L2_CAL_LINE_OUT_DQ"), (ifo, "SUS-ETMX_L1_CAL_LINE_OUT_DQ")]
def gstlal_compute_kappas_without_D(pipeline, name):
# The first line makes the element lal_cachesrc, which reads in raw data using the cache file
source = pipeparts.mklalcachesrc(pipeline, location = frame_cache, cache_dsc_regex = ifo)
# Next, the demuxer splits it into separate channels
demux = pipeparts.mkframecppchanneldemux(pipeline, source, do_file_checksum = False, skip_bad_files = True, channel_list = map("%s:%s".__mod__, channel_list))
# Next, we use a function from that hooks up to the demuxer
# and does a few sanity checks on the data. This uses multiple elements.
darm_err = calibration_parts.hook_up(pipeline, demux, "CAL-DARM_ERR_DBL_DQ", ifo, 1.0)
# Another calibration_parts function to set the "caps", which are stream parameters
# that tell gstreamer the data type, sample rate, etc. A progress report will produce
# output to the screen so that you can see it is running.
darm_err = calibration_parts.caps_and_progress(pipeline, darm_err, "audio/x-raw, format=F64LE, rate=%d, channels=1, channel-mask=(bitmask)0x0", "darm_err")
# You will need to use the error signal in more than one place (you'll have to
# demodulate it at all five frequencies), so we need a tee here.
darm_err = pipeparts.mktee(pipeline, darm_err)
# Finally, an interesting operation - now you need to demodulate the error signal.
# You will have to do this to every input signal. darm_err is currently a time series,
# but you want to know its amplitude and phase at a single frequency. To do this, we
# Demodulate it at the specified frequency
darm_err_at_f1 = calibration_parts.demodulate(pipeline, darm_err, f1, True, 16, 20, 0)
# You'll also need this in multiple places, so here's a tee
darm_err_at_f1 = pipeparts.mktee(pipeline, darm_err_at_f1)
# This writes the data to a file, currently called "darm_err_at_f1.txt." Eventually,
# you will want to write the TDCFs to a file.
pipeparts.mknxydumpsink(pipeline, darm_err_at_f1, "darm_err_at_f1.txt")
# To move forward, you can remove the nxydumpsink above and use darm_err_at_f1 for
# your calculations. You will also need to demodulate the Pcal channel at f1. And
# you will have to do several more demodulations (10 total I think, since each of
# the five lines is present in darm_err and in one injection channel). Then, you
# will need to do additions, multiplications, divisions, powers, etc. I would
# suggest looking in gstlal_compute_strain (the calibration pipeline) and
# for examples of how to do these. calibration_parts has lots
# of functions that should be helpful.
# done
return pipeline
# =============================================================================
# Main
# =============================================================================
# This function calls the above pipeline function to build and run the pipeline.
test_common.build_and_run(gstlal_compute_kappas_without_D, "gstlal_compute_kappas_without_D", segment = segments.segment((LIGOTimeGPS(0, 1000000000 * options.gps_start_time), LIGOTimeGPS(0, 1000000000 * options.gps_end_time))))
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