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[Plot lightcurve of source from ZTF avro packet] #lightcurve #avro #ztf

Plotting ZTF Lightcurves from AVRO Packet

Here is the gist for the script and an example AVRO packet.

To generate a lightcurve from the AVRO alert packet for the ZTF object run the plot_ztf_lightcurve_from_avro.py script with the following usage:

python plot_ztf_lightcurve_from_avro [-o] <avrofile> 

To plot the example object ZTF19aafmytc included in the gist from its avro packet:

python plot_ztf_lightcurve_from_avro.py -o ztf_2019_02_08_768543036215015007.avro

And here is the plot generated from that command:

#!/usr/local/bin/python
# encoding: utf-8
"""
*Plot a ZTF lightcurve given an AVRO packet*
:Author:
David Young
:Date Created:
February 11, 2019
Usage:
plot_ztf_lightcurve_from_avro [-o] <avrofile>
Options:
avrofile path to the avro file
-o, --open open the plot once it's been generated
-h, --help show this help message
-v, --version show version
-s, --settings the settings file
"""
################# GLOBAL IMPORTS ####################
import sys
import os
from fundamentals import tools
import fastavro
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.ticker as mtick
import numpy as np
from subprocess import Popen, PIPE, STDOUT
def main(arguments=None):
"""
*The main function used when ``plot_ztf_lightcurve_from_avro.py`` is run as a single script from the cl*
"""
# SETUP THE COMMAND-LINE UTIL SETTINGS
su = tools(
arguments=arguments,
docString=__doc__,
logLevel="DEBUG",
options_first=False,
projectName=False
)
arguments, settings, log, dbConn = su.setup()
# UNPACK REMAINING CL ARGUMENTS USING `EXEC` TO SETUP THE VARIABLE NAMES
# AUTOMATICALLY
for arg, val in arguments.iteritems():
if arg[0] == "-":
varname = arg.replace("-", "") + "Flag"
else:
varname = arg.replace("<", "").replace(">", "")
if isinstance(val, str) or isinstance(val, unicode):
exec(varname + " = '%s'" % (val,))
else:
exec(varname + " = %s" % (val,))
if arg == "--dbConn":
dbConn = val
log.debug('%s = %s' % (varname, val,))
# READ THE AVRO PACKET
from fastavro import reader
with open(avrofile, 'rb') as fo:
# PRINT THE PACKET SCHEMA NAMES
# avro_reader = reader(fo)
# schema = avro_reader.schema
# for record in avro_reader:
# print record.keys()
avro_reader = reader(fo)
schema = avro_reader.schema
# READ THE `candidate` AND `prv_candidates` SCHEMA
for record in avro_reader:
history = record["prv_candidates"]
candidate = record["candidate"]
objectid = record["objectId"]
# SPLIT HISTORY BETWEEN CANDIDATES AND NON-DETECTIONS
# Filter ID (1=g; 2=r; 3=i)
detections = []
detections[:] = [d for d in history if d["scorr"]]
nondetections = []
nondetections[:] = [d for d in history if not d["scorr"]]
# ADD CANDIDATE TO PREVIOUS DETECIONS
detections = [candidate] + detections
# SORT DETECTIONS & NON-DETECTIONS LISTS VIA MJD
from operator import itemgetter
detections = sorted(detections, key=itemgetter('jd'), reverse=False)
nondetections = sorted(nondetections, key=itemgetter('jd'), reverse=False)
# EMPTY LEGEND HANDLES
handles = []
# SET AXIS LIMITS FOR Y-AXIS
upperY = -99
lowerY = 99
mpl.rc('ytick', labelsize=20)
mpl.rc('xtick', labelsize=20)
mpl.rcParams.update({'font.size': 32})
fig1, ax1 = plt.subplots(
1, 1, sharex=False, figsize=(10, 10), dpi=100, frameon=True)
plt.subplots_adjust(0.1, 0.1, 0.8, 0.8, hspace=0.001)
# OBJECT NAME LABEL AS TITLE
fig1.text(0.135, 1., objectid, ha="left", fontsize=30)
# RHS AXIS TICKS
ax1.xaxis.set_major_formatter(mtick.FormatStrFormatter('%5.1f'))
# AXIS LABELS
ax1.set_xlabel('MJD', labelpad=10)
ax1.set_ylabel('Mag.' %
locals(), labelpad=15)
# PLOT BY FILTER
filters = {
"g": [1, "#008000"],
"r": [2, "#ff4500"],
"i": [3, "#cc0000"]
}
for k, v in filters.iteritems():
# BUILD ARRAYS FOR PLOT
mags = []
mags[:] = [d["magpsf"] for d in detections if d["fid"] == v[0]]
magErrs = []
magErrs[:] = [d["sigmapsf"] for d in detections if d["fid"] == v[0]]
magMjds = []
magMjds[:] = [d["jd"] - 2400000.5 for d in detections if d["fid"] == v[0]]
lims = []
lims[:] = [n["diffmaglim"] for n in nondetections if d["fid"] == v[0]]
limMjds = []
limMjds[:] = [
n["jd"] - 2400000.5 for n in nondetections if d["fid"] == v[0]]
if len(mags):
ccircles = ax1.errorbar(magMjds, mags, yerr=magErrs, color=v[1], fmt='o', mfc=v[1],
mec=v[1], zorder=1, ms=7., alpha=1., linewidth=1.2, label='%(k)s-band' % locals(), capsize=10)
# ERROBAR CAP THICKNESS
ccircles[1][0].set_markeredgewidth('0.7')
ccircles[1][1].set_markeredgewidth('0.7')
handles.append(ccircles)
for l, m in zip(lims, limMjds):
plt.text(m, l, u"\u21A7", fontname='STIXGeneral',
size=30, va='top', ha='center', clip_on=True, color=v[1])
# BUILD COMBINED ARRAYS FOR PLOT
mags = []
mags[:] = [d["magpsf"] for d in detections]
magErrs = []
magErrs[:] = [d["sigmapsf"] for d in detections]
magMjds = []
magMjds[:] = [d["jd"] - 2400000.5 for d in detections]
lims = []
lims[:] = [n["diffmaglim"] for n in nondetections]
limMjds = []
limMjds[:] = [n["jd"] - 2400000.5 for n in nondetections]
mags = np.array(mags)
magErrs = np.array(magErrs)
magMjds = np.array(magMjds)
lims = np.array(lims)
limMjds = np.array(limMjds)
# TRY AND CLIP THE Y-AXIS TO DATA
if max(np.array(mags + magErrs)) > upperY:
upperY = max(np.array(mags + magErrs))
upperYIndex = np.argmax(np.array(mags + magErrs))
if max(lims) > upperY:
upperY = max(lims)
upperYIndex = np.argmax(lims)
if min(np.array(mags - magErrs)) < lowerY:
lowerY = min(np.array(mags - magErrs))
lowerYIndex = np.argmin(np.array(mags - magErrs))
if min(lims) < lowerY:
lowerY = min(lims)
lowerYIndex = np.argmin(lims)
lowerY = 18.5
# SET THE Y-RANGE
deltaY = (upperY - lowerY) * 0.1
ax1.set_ylim([lowerY - deltaY, upperY + deltaY])
y_formatter = mpl.ticker.FormatStrFormatter("%2.1f")
ax1.yaxis.set_major_formatter(y_formatter)
ax1.invert_yaxis()
# ADD LEGEND
bbox_to_anchor = (0.97, .97)
fileName = "%(objectid)s_lc.csv" % locals()
plt.legend(handles=handles, loc=0.0, borderaxespad=1.0, fontsize=15)
# SET THE X-RANGE
allX = list(magMjds) + list(limMjds)
xmin = min(allX) - 5.
xmax = max(allX) + 3.
ax1.set_xlim([xmin, xmax])
# LIMITS IN DATE FORMAT
lower, upper = ax1.get_xlim()
ax1.xaxis.set_major_formatter(mtick.FormatStrFormatter('%5d'))
# SAVE PLOT TO FILE
pathToOutputPlotFolder = ""
fileName = "%(objectid)s_lc.png" % locals()
plt.savefig(fileName, bbox_inches='tight', transparent=False,
pad_inches=0.2, dpi=300)
if openFlag:
cmd = """open %(fileName)s""" % locals()
p = Popen(cmd, stdout=PIPE, stderr=PIPE, shell=True)
stdout, stderr = p.communicate()
log.debug('output: %(stdout)s' % locals())
return
if __name__ == '__main__':
main()
Objavro.codecnullavro.schema��{"type": "record", "version": "3.2", "name": "alert", "namespace": "ztf", "fields": [{"type": "string", "name": "schemavsn", "doc": "schema version used"}, {"type": "string", "name": "publisher", "doc": "origin of alert packet"}, {"type": "string", "name": "objectId", "doc": "object identifier or name"}, {"type": "long", "name": "candid"}, {"type": {"type": "record", "version": "3.2", "name": "candidate", "namespace": "ztf.alert", "fields": [{"type": "double", "name": "jd", "doc": "Observation Julian date at start of exposure [days]"}, {"type": "int", "name": "fid", "doc": "Filter ID (1=g; 2=R; 3=i)"}, {"type": "long", "name": "pid", "doc": "Processing ID for science image to facilitate archive retrieval"}, {"type": ["float", "null"], "name": "diffmaglim", "default": null, "doc": "Expected 5-sigma mag limit in difference image based on global noise estimate [mag]"}, {"type": ["string", "null"], "name": "pdiffimfilename", "default": null, "doc": "filename of positive (sci minus ref) difference image"}, {"type": ["string", "null"], "name": "programpi", "default": null, "doc": "Principal investigator attached to program ID"}, {"type": "int", "name": "programid", "doc": "Program ID: encodes either public, collab, or caltech mode"}, {"type": "long", "name": "candid", "doc": "Candidate ID from operations DB"}, {"type": "string", "name": "isdiffpos", "doc": "t or 1 => candidate is from positive (sci minus ref) subtraction; f or 0 => candidate is from negative (ref minus sci) subtraction"}, {"type": ["long", "null"], "name": "tblid", "default": null, "doc": "Internal pipeline table extraction ID"}, {"type": ["int", "null"], "name": "nid", "default": null, "doc": "Night ID"}, {"type": ["int", "null"], "name": "rcid", "default": null, "doc": "Readout channel ID [00 .. 63]"}, {"type": ["int", "null"], "name": "field", "default": null, "doc": "ZTF field ID"}, {"type": ["float", "null"], "name": "xpos", "default": null, "doc": "x-image position of candidate [pixels]"}, {"type": ["float", "null"], "name": "ypos", "default": null, "doc": "y-image position of candidate [pixels]"}, {"type": "double", "name": "ra", "doc": "Right Ascension of candidate; J2000 [deg]"}, {"type": "double", "name": "dec", "doc": "Declination of candidate; J2000 [deg]"}, {"type": "float", "name": "magpsf", "doc": "Magnitude from PSF-fit photometry [mag]"}, {"type": "float", "name": "sigmapsf", "doc": "1-sigma uncertainty in magpsf [mag]"}, {"type": ["float", "null"], "name": "chipsf", "default": null, "doc": "Reduced chi-square for PSF-fit"}, {"type": ["float", "null"], "name": "magap", "default": null, "doc": "Aperture mag using 14 pixel diameter aperture [mag]"}, {"type": ["float", "null"], "name": "sigmagap", "default": null, "doc": "1-sigma uncertainty in magap [mag]"}, {"type": ["float", "null"], "name": "distnr", "default": null, "doc": "distance to nearest source in reference image PSF-catalog [pixels]"}, {"type": ["float", "null"], "name": "magnr", "default": null, "doc": "magnitude of nearest source in reference image PSF-catalog [mag]"}, {"type": ["float", "null"], "name": "sigmagnr", "default": null, "doc": "1-sigma uncertainty in magnr [mag]"}, {"type": ["float", "null"], "name": "chinr", "default": null, "doc": "DAOPhot chi parameter of nearest source in reference image PSF-catalog"}, {"type": ["float", "null"], "name": "sharpnr", "default": null, "doc": "DAOPhot sharp parameter of nearest source in reference image PSF-catalog"}, {"type": ["float", "null"], "name": "sky", "default": null, "doc": "Local sky background estimate [DN]"}, {"type": ["float", "null"], "name": "magdiff", "default": null, "doc": "Difference: magap - magpsf [mag]"}, {"type": ["float", "null"], "name": "fwhm", "default": null, "doc": "Full Width Half Max assuming a Gaussian core, from SExtractor [pixels]"}, {"type": ["float", "null"], "name": "classtar", "default": null, "doc": "Star/Galaxy classification score from SExtractor"}, {"type": ["float", "null"], "name": "mindtoedge", "default": null, "doc": "Distance to nearest edge in image [pixels]"}, {"type": ["float", "null"], "name": "magfromlim", "default": null, "doc": "Difference: diffmaglim - magap [mag]"}, {"type": ["float", "null"], "name": "seeratio", "default": null, "doc": "Ratio: difffwhm / fwhm"}, {"type": ["float", "null"], "name": "aimage", "default": null, "doc": "Windowed profile RMS afloat major axis from SExtractor [pixels]"}, {"type": ["float", "null"], "name": "bimage", "default": null, "doc": "Windowed profile RMS afloat minor axis from SExtractor [pixels]"}, {"type": ["float", "null"], "name": "aimagerat", "default": null, "doc": "Ratio: aimage / fwhm"}, {"type": ["float", "null"], "name": "bimagerat", "default": null, "doc": "Ratio: bimage / fwhm"}, {"type": ["float", "null"], "name": "elong", "default": null, "doc": "Ratio: aimage / bimage"}, {"type": ["int", "null"], "name": "nneg", "default": null, "doc": "number of negative pixels in a 5 x 5 pixel stamp"}, {"type": ["int", "null"], "name": "nbad", "default": null, "doc": "number of prior-tagged bad pixels in a 5 x 5 pixel stamp"}, {"type": ["float", "null"], "name": "rb", "default": null, "doc": "RealBogus quality score; range is 0 to 1 where closer to 1 is more reliable"}, {"type": ["float", "null"], "name": "ssdistnr", "default": null, "doc": "distance to nearest known solar system object if exists within 30 arcsec [arcsec]"}, {"type": ["float", "null"], "name": "ssmagnr", "default": null, "doc": "magnitude of nearest known solar system object if exists within 30 arcsec (usually V-band from MPC archive) [mag]"}, {"type": ["string", "null"], "name": "ssnamenr", "default": null, "doc": "name of nearest known solar system object if exists within 30 arcsec (from MPC archive)"}, {"type": ["float", "null"], "name": "sumrat", "default": null, "doc": "Ratio: sum(pixels) / sum(|pixels|) in a 5 x 5 pixel stamp where stamp is first median-filtered to mitigate outliers"}, {"type": ["float", "null"], "name": "magapbig", "default": null, "doc": "Aperture mag using 18 pixel diameter aperture [mag]"}, {"type": ["float", "null"], "name": "sigmagapbig", "default": null, "doc": "1-sigma uncertainty in magapbig [mag]"}, {"type": "double", "name": "ranr", "doc": "Right Ascension of nearest source in reference image PSF-catalog; J2000 [deg]"}, {"type": "double", "name": "decnr", "doc": "Declination of nearest source in reference image PSF-catalog; J2000 [deg]"}, {"type": ["float", "null"], "name": "sgmag1", "default": null, "doc": "g-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "srmag1", "default": null, "doc": "r-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "simag1", "default": null, "doc": "i-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "szmag1", "default": null, "doc": "z-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "sgscore1", "default": null, "doc": "Star/Galaxy score of closest source from PS1 catalog; if exists within 30 arcsec: 0 <= sgscore <= 1 where closer to 1 implies higher likelihood of being a star"}, {"type": ["float", "null"], "name": "distpsnr1", "default": null, "doc": "Distance to closest source from PS1 catalog; if exists within 30 arcsec [arcsec]"}, {"type": "int", "name": "ndethist", "doc": "Number of spatially-coincident detections falling within 1.5 arcsec going back to beginning of survey; only detections that fell on the same field and readout-channel ID where the input candidate was observed are counted"}, {"type": "int", "name": "ncovhist", "doc": "Number of times input candidate position fell on any field and readout-channel going back to beginning of survey"}, {"type": ["double", "null"], "name": "jdstarthist", "default": null, "doc": "Earliest Julian date of epoch corresponding to ndethist [days]"}, {"type": ["double", "null"], "name": "jdendhist", "default": null, "doc": "Latest Julian date of epoch corresponding to ndethist [days]"}, {"type": ["double", "null"], "name": "scorr", "default": null, "doc": "Peak-pixel signal-to-noise ratio in point source matched-filtered detection image"}, {"type": ["int", "null"], "name": "tooflag", "default": 0, "doc": "1 => candidate is from a Target-of-Opportunity (ToO) exposure; 0 => candidate is from a non-ToO exposure"}, {"type": ["long", "null"], "name": "objectidps1", "default": null, "doc": "Object ID of closest source from PS1 catalog; if exists within 30 arcsec"}, {"type": ["long", "null"], "name": "objectidps2", "default": null, "doc": "Object ID of second closest source from PS1 catalog; if exists within 30 arcsec"}, {"type": ["float", "null"], "name": "sgmag2", "default": null, "doc": "g-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "srmag2", "default": null, "doc": "r-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "simag2", "default": null, "doc": "i-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "szmag2", "default": null, "doc": "z-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "sgscore2", "default": null, "doc": "Star/Galaxy score of second closest source from PS1 catalog; if exists within 30 arcsec: 0 <= sgscore <= 1 where closer to 1 implies higher likelihood of being a star"}, {"type": ["float", "null"], "name": "distpsnr2", "default": null, "doc": "Distance to second closest source from PS1 catalog; if exists within 30 arcsec [arcsec]"}, {"type": ["long", "null"], "name": "objectidps3", "default": null, "doc": "Object ID of third closest source from PS1 catalog; if exists within 30 arcsec"}, {"type": ["float", "null"], "name": "sgmag3", "default": null, "doc": "g-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "srmag3", "default": null, "doc": "r-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "simag3", "default": null, "doc": "i-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "szmag3", "default": null, "doc": "z-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]"}, {"type": ["float", "null"], "name": "sgscore3", "default": null, "doc": "Star/Galaxy score of third closest source from PS1 catalog; if exists within 30 arcsec: 0 <= sgscore <= 1 where closer to 1 implies higher likelihood of being a star"}, {"type": ["float", "null"], "name": "distpsnr3", "default": null, "doc": "Distance to third closest source from PS1 catalog; if exists within 30 arcsec [arcsec]"}, {"type": "int", "name": "nmtchps", "doc": "Number of source matches from PS1 catalog falling within 30 arcsec"}, {"type": "long", "name": "rfid", "doc": "Processing ID for reference image to facilitate archive retrieval"}, {"type": "double", "name": "jdstartref", "doc": "Observation Julian date of earliest exposure used to generate reference image [days]"}, {"type": "double", "name": "jdendref", "doc": "Observation Julian date of latest exposure used to generate reference image [days]"}, {"type": "int", "name": "nframesref", "doc": "Number of frames (epochal images) used to generate reference image"}, {"type": "string", "name": "rbversion", "doc": "version of RealBogus model/classifier used to assign rb quality score"}, {"type": ["float", "null"], "name": "dsnrms", "default": null, "doc": "Ratio: D/stddev(D) on event position where D = difference image"}, {"type": ["float", "null"], "name": "ssnrms", "default": null, "doc": "Ratio: S/stddev(S) on event position where S = image of convolution: D (x) PSF(D)"}, {"type": ["float", "null"], "name": "dsdiff", "default": null, "doc": "Difference of statistics: dsnrms - ssnrms"}, {"type": ["float", "null"], "name": "magzpsci", "default": null, "doc": "Magnitude zero point for photometry estimates [mag]"}, {"type": ["float", "null"], "name": "magzpsciunc", "default": null, "doc": "Magnitude zero point uncertainty (in magzpsci) [mag]"}, {"type": ["float", "null"], "name": "magzpscirms", "default": null, "doc": "RMS (deviation from average) in all differences between instrumental photometry and matched photometric calibrators from science image processing [mag]"}, {"type": "int", "name": "nmatches", "doc": "Number of PS1 photometric calibrators used to calibrate science image from science image processing"}, {"type": ["float", "null"], "name": "clrcoeff", "default": null, "doc": "Color coefficient from linear fit from photometric calibration of science image"}, {"type": ["float", "null"], "name": "clrcounc", "default": null, "doc": "Color coefficient uncertainty from linear fit (corresponding to clrcoeff)"}, {"type": ["float", "null"], "name": "zpclrcov", "default": null, "doc": "Covariance in magzpsci and clrcoeff from science image processing [mag^2]"}, {"type": ["float", "null"], "name": "zpmed", "default": null, "doc": "Magnitude zero point from median of all differences between instrumental photometry and matched photometric calibrators from science image processing [mag]"}, {"type": ["float", "null"], "name": "clrmed", "default": null, "doc": "Median color of all PS1 photometric calibrators used from science image processing [mag]: for filter (fid) = 1, 2, 3, PS1 color used = g-r, g-r, r-i respectively"}, {"type": ["float", "null"], "name": "clrrms", "default": null, "doc": "RMS color (deviation from average) of all PS1 photometric calibrators used from science image processing [mag]"}, {"type": ["float", "null"], "name": "neargaia", "default": null, "doc": "Distance to closest source from Gaia DR1 catalog irrespective of magnitude; if exists within 90 arcsec [arcsec]"}, {"type": ["float", "null"], "name": "neargaiabright", "default": null, "doc": "Distance to closest source from Gaia DR1 catalog brighter than magnitude 14; if exists within 90 arcsec [arcsec]"}, {"type": ["float", "null"], "name": "maggaia", "default": null, "doc": "Gaia (G-band) magnitude of closest source from Gaia DR1 catalog irrespective of magnitude; if exists within 90 arcsec [mag]"}, {"type": ["float", "null"], "name": "maggaiabright", "default": null, "doc": "Gaia (G-band) magnitude of closest source from Gaia DR1 catalog brighter than magnitude 14; if exists within 90 arcsec [mag]"}, {"type": ["float", "null"], "name": "exptime", "default": null, "doc": "Integration time of camera exposure [sec]"}], "doc": "avro alert schema"}, "name": "candidate"}, {"type": [{"type": "array", "items": {"type": "record", "version": "3.2", "name": "prv_candidate", "namespace": "ztf.alert", "fields": [{"type": "double", "name": "jd", "doc": "Observation Julian date at start of exposure [days]"}, {"type": "int", "name": "fid", "doc": "Filter ID (1=g; 2=R; 3=i)"}, {"type": "long", "name": "pid", "doc": "Processing ID for image"}, {"type": ["float", "null"], "name": "diffmaglim", "default": null, "doc": "Expected 5-sigma mag limit in difference image based on global noise estimate [mag]"}, {"type": ["string", "null"], "name": "pdiffimfilename", "default": null, "doc": "filename of positive (sci minus ref) difference image"}, {"type": ["string", "null"], "name": "programpi", "default": null, "doc": "Principal investigator attached to program ID"}, {"type": "int", "name": "programid", "doc": "Program ID: encodes either public, collab, or caltech mode"}, {"type": ["long", "null"], "name": "candid", "doc": "Candidate ID from operations DB"}, {"type": ["string", "null"], "name": "isdiffpos", "doc": "t or 1 => candidate is from positive (sci minus ref) subtraction; f or 0 => candidate is from negative (ref minus sci) subtraction"}, {"type": ["long", "null"], "name": "tblid", "default": null, "doc": "Internal pipeline table extraction ID"}, {"type": ["int", "null"], "name": "nid", "default": null, "doc": "Night ID"}, {"type": ["int", "null"], "name": "rcid", "default": null, "doc": "Readout channel ID [00 .. 63]"}, {"type": ["int", "null"], "name": "field", "default": null, "doc": "ZTF field ID"}, {"type": ["float", "null"], "name": "xpos", "default": null, "doc": "x-image position of candidate [pixels]"}, {"type": ["float", "null"], "name": "ypos", "default": null, "doc": "y-image position of candidate [pixels]"}, {"type": ["double", "null"], "name": "ra", "doc": "Right Ascension of candidate; 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