Latiss Combined Calibrations Generation Procedure¶
Overview¶
This procedure describes how to execute the SAL Script to produce combined calibrations for LATISS on the ScriptQueue from the LSST Operations and Visualization Enviroment (LOVE) at the Summit.
The script will have the option to:
- command LATISS to take a number of calibrations frames:
biases
darks
flats
call the corresponding Rubin Science Pipelines calibration generation pipetask to produce biases, darks, flats, defects and Photon Transfer Curves (PTCs) via the OCS-Controlled Pipeline System (OCPS),
verify the images taken using as reference the calibration generated in the previous step (see the package cp_verify, and the technical notes DMTN-101 and DMTN-222), or using pre-existing calibrations (via the
generate_calibrations
boolean parameter in the configuration file), andcertify the resulting calibration with a given range of validity dates.
For at least one type of test (as defined in DMTN-101), if the majority of tests fail in the majority of detectors and the majority of exposures, then the script will terminate by raising a RuntimeError
after calculating the verification statistics, and the calibration will not be certified. The configuration parameters number_verification_tests_threshold_bias
, number_verification_tests_threshold_dark
, and number_verification_tests_threshold_flat
will be used to define thresholds to decide whether the calibration will pass verification and should be certified or not. Currently, verification is only implemented for BIAS
, DARK
, and FLAT
calibration types. If the configuration parameters do_defects
and do_ptc
are set to True
, verification will be skipped for the DEFECTS
and PTC
calibrations and they will be automatically certified.
The script currently has the option (via the script_mode
parameter in the configuration options) to:
take only biases,
take biases and darks, and
take biases, darks, and flats.
These options are constrained by the fact that the generation or construction of one calibration depends on the existence of the previous one (i.e., to generate a combined dark, a combined bias is necessary, and to generate a flat, a combined dark and a combined bias are necessary). Calibration generation from the images taken can be skipped by setting generate_calibrations
. This will speed up the execution time of the script, and subsequent tasks (for example, verification tasks or the PTC construction task) will look for necessary calibrations in their input collections (whose default is the standard calibrations collection: LATISS/calib
).
If desired, defects can be constructed from darks and flats, and a PTC per detector per amplifier constructed from the flats. Note that the PTC assumes that a sequence of flat pairs has been taken, each pair taken at the same exposure time. In both cases, script_mode
must be set to BIAS_DARK_FLAT
.
For more information about calibrations production (including verification and certification), please consult the Constructing Calibrations documentation.
Prerequisites¶
You should be logged into the LSST Operations and Visualization Enviroment (LOVE) at the Summit.
The script assumes (and checks) that the
LATISS
andOCPS
components are allENABLED
, and that the latter has beenENABLED
with the configuration ofLATISS
.
- The instrument and the
OCPS
can be enabled with the following procedures: - If you plan to take flat fields as well, make sure the Auxiliary Telescope is prepared to do so:
Post-Condition¶
A (daily) combined calibration image per detector will be certified in a butler
CALIBRATION
collection.
Procedure Steps¶
Once you are logged into LOVE, click on the ATQueue
panel, as circled on the left side of the figure below (for reference, MTQueue
to launch LSSTComCam
scripts is circled on the right):
Load the Script¶
After clicking on the ATQueue
panel, search for the script maintel/make_latiss_calibrations.py
under AVAILABLE SCRIPTS
on the left, as shown in the figure below:
Load the script by clicking on the button in front of the name of the script that has a triangle.
Enter configuration parameters¶
After loading the script, a window that contains two sections, SCHEMA
(top) and CONFIG
(bottom), will appear. The former will show the available configuration options (and the default values of some of them) that should be entered in the latter. The configuration options are as follows:
script_mode
: Currently, the script can be run in three modes, in which it will produce only biases (BIAS
), biases and darks (BIAS_DARK
), or biases, darks, and flats (BIAS_DARK_FLAT
). Default:BIAS_DARK_FLAT
n_bias
: Number of biases to take. Default:20
.n_discard_bias
: Additional number of bias images to take and discard before starting the sequence. Default:1
.n_dark
: Number of darks to take. Default:20
.n_discard_dark
: Additional number of dark images to take and discard before starting the sequence. Default:1
.exp_times_dark
: The exposure time of each dark image (sec). If a single value, then the same exposure time is used for each exposure. Default:5
.n_flat
: Number of flats to take. Default:20
.n_discard_flat
: Additional number of flat images to take and discard before starting the sequence. Default:1
.exp_times_flat
: The exposure time of each flat image (sec). If a single value, then the same exposure time is used for each exposure. Ifdo_ptc
isTrue
, the exposure times should form an adecuate secuence of flat pairs, each pair with the same exposure time. Ifdo_gain_from_flat_pairs
isTrue
, at least two flats with the same exposure time should be taken. Default:5
.filter
: Filter name or ID; if omitted the filter is not changed. Default:null
.grating
: Grating name; if omitted the grating is not changed. Default:null
.detectors
: Detector IDs that will be pased to the pipeline tasks, given as an array of integers, e.g.,[0,1,2,3]
. The default value is an empty array, which will translate in using all the detectors (a single detector for LATISS). Default:[]
do_verify
: Should the combined calibrations be verified? (c.f.,cp_verify
). Default:True
.generate_calibrations
: Should the combined calibrations be generated from the images taken and used as references for image verification? (“internal verification”). IfFalse
and anddo_verify
isTrue
, pre-existing calibrations will be used as reference for verification (“external verification”), and they should be provided in the input collections for the verification pipetasks. Default:False
.config_options_bias
: Options to be passed to the command-line bias pipetask. They will overwrite the values incpBias.yaml
. Default:-c isr:doDefect=False
.config_options_dark
: Options to be passed to the command-line dark pipetask. They will overwrite the values incpDark.yaml
. Default:-c isr:doDefect=False
.config_options_flat
: Options to be passed to the command-line flat pipetask. They will overwrite the values incpFlat.yaml
. Default:-c isr:doDefect=False
.do_defects
: Should defects be built using darks and flats?.script_mode
must beBIAS_DARK_FLAT
. Default:False
config_options_defects
: Options to be passed to the command-line defects pipetask. They will overwrite the values infindDefects.yaml
. Default:-c isr:doDefect=False
.do_ptc
: Should a Photon Transfer Curve be constructed from the flats taken?script_mode
must beBIAS_DARK_FLAT
. Default:False
.config_options_ptc
: Options to be passed to the command-line PTC pipetask. They will overwrite the values incpPtc.yaml
. Default:-c isr:doCrosstalk=False
.do_gain_from_flat_pairs
: Should the gain be estimated from each pair of flats taken at the same exposure time? Runs thecpPtc.yaml#generateGainFromFlatPair
pipeline. Since this pipeline is a subset of the PTC pipeline, you can use use theconfig_options_ptc
parameter to pass options to theISR
(Instrument Signature Removal) andcpExtract
tasks which form this pipeline. Default:False
.input_collections_bias
: List of additional (theOCPS
already addsLATISS/raw/all
as a default) comma-separated input collections for the bias pipetask. The pipetask is called via theOCPS
after enabling it with theLATISS
configuration. Default:LATISS/calib
.input_collections_verify_bias
: Additional comma-separated input collections to pass to the verify (bias) pipetask. Default:LATISS/calib
.input_collections_dark
: Additional comma-separarted input collections to pass to the dark pipetask. Default:LATISS/calib
.input_collections_verify_dark
: Additional comma-separated input collections to pass to the verify (dark) pipetask. Default:LATISS/calib
.input_collections_flat
: Additional comma-separated input collections to pass to the flat pipetask. Default:LATISS/calib
.input_collections_verify_flat
: Additional comma-separated input collections to pass to the verify (flat) pipetask. Default:LATISS/calib
.input_collections_defects
: Additional comma-separated input collections to pass to the defects pipetask. Default:LATISS/calib
.input_collections_ptc
: Additional comma-separated input collections to pass to the Photon Transfer Curve pipetask. Default:LATISS/calib
.calib_collection
:CALIBRATION
collection where the calibrations will be certified into, for example,LATISS/calib/u/plazas/YYYYMMMDD.test
orLATISS/calib/daily
. Default:LATISS/calib/daily
.repo
: Butler repository. Default:/repo/LATISS
.n_processes
: Number of processes that the pipetasks will use. Default:8
.certify_calib_begin_date
: The beginning date for the validity range of the certified calibration, for example,2021-07-15
. Default:1950-01-01
.certify_calib_end_date
: The end date for the validity range of the certified calibration, for example,2021-07-16
. Default:2050-01-01
.oods_timeout
: Timeout value, in seconds, for the Observatory Operations Data Service (OODS
). Default:120
.
An example set of configuration parameters is as follows:
n_bias: 6
n_dark: 6
exp_times_dark: [5, 5, 5, 10, 15, 20]
n_flat: 14
exp_times_flat: [0.1, 0.1, 0.35, 0.35, 0.6, 0.6, 0.8, 0.8, 1.0, 1.0, 1.35, 1.35, 1.6, 1.6]
calib_collection: "LATISS/calib/u/plazas/daily.2021SEP13.test1"
do_verify: True
input_collections_verify_bias: "u/czw/DM-28920/calib.20210720,LATISS/calib"
input_collections_verify_dark: "u/czw/DM-28920/calib.20210720,LATISS/calib"
input_collections_verify_flat: "u/czw/DM-28920/calib.20210720,LATISS/calib"
certify_calib_begin_date: "2021-07-15"
certify_calib_end_date: "2021-07-17"
script_mode: BIAS_DARK_FLAT
do_defects: True
do_ptc: True
Notes¶
The
detectors
parameters was omitted, therefore, by default, the single LATISS detector will be passed to the LSST Science Pipelines pipetasks.The
generate_calibrations
parameters was omitted, and therefore combined calibrations will not be generated from the individual images taken (biases, darks, and flats sincescript_mode
isBIAS_DARK_FLAT
), as its default value isFalse
. Pipetasks that require combined calibrations to run will search for them in their input collections. For example, sincedo_verify
isTrue
, the bias, dark, and flat verification tasks will look for combined reference calibrations in their input collections, given by theinput_collections_verify_bias
,input_collections_verify_dark
, andinput_collections_verify_flat
parameters. Since the collectionu/czw/DM-28920/calib.20210720
is located before the standard collectionLATISS/calib
in these parameters, the verification tasks will look there first. On the other hand, sincedo_ptc
isTrue
andinput_collections_ptc
is omitted, the PTC task will look for combined calibrations (e.g., bias, dark) in the standard calibration collectionLATISS/calib
, which is the default for this parameter.Sometimes running the PTC can take a long time. In order to obtain a quick estimation for the gain (and monitor, for example, its stability with time), the parameter
do_gain_from_flat_pairs
can be set toTrue
. In that case, only one pair of flats is required, so the parameterexp_times_flat
could be set to, e.g.,[1.2, 1.2]
. However, the task will estimate a gain for every flat pair that has been taken (LOVE
will report the values per exposure pair per detector per amplifier). For example, ifexp_times_flat
is[0.1, 0.1, 0.35, 0.35, 0.6, 0.6, 1, 1.5, 1.7, 2.1, 2.3]
, gains will be estimated from the first three flat pairs.See DMTN-222 for a discussion on calibration generation, verification, acceptance, and certfication, including suggested naming conventions for parameters such as
calib_collection
.
Launch the script¶
When the configuration options have been entered and the script is ready to be launched, click on the ADD
button in the lower right of the screen (refer to image above).
Accessing the calibrations¶
The certified combined calibrations will be available via the collection specified by the calib_collection parameter. They could be retrieved from a notebook for manipulation and visualization:
import lsst.daf.butler as dB
butler = dB.Butler("/repo/LATISS", collections=["LATISS/calib/daily.2021SEP13.test1"])
detector = (0, 1, 2, 3, 4, 5, 6, 7, 8)
exposure = [bias1ID, bias2ID] # e.g., [2021071500001, 2021071500002]
# For detector "0":
bias = butler.get('bias', detector=detector[0], exposure=exposure[0], instrument='LATISS')
dark = butler.get('dark', detector=detector[0], exposure=exposure[0], instrument='LATISS')
flat = butler.get('flat', detector=detector[0], exposure=exposure[0], instrument='LATISS')
defects = butler.get('defects', detector=detector[0], exposure=exposure[0], instrument='LATISS')
ptc = butler.get('ptc', detector=detector[0], exposure=exposure[0], instrument='LATISS')
If do_gain_from_flat_pair
is True
, the estimated gains (as well as the measured empirical readout noise from the overscan during Instrument Signature Removal) can be found by requesting the cpCovariances
data structure. In this case, the exposure ID should be one of the two flats used to estimate the gain:
cpCovs = butler.get('cpCovariances', detector=detector[0], exposure=flat1ID, instrument='LATISS')
gain_values = cpCov.gain
noise_values = cpCov.noise
The gain estimated in this way (from single pairs of flats) is an approximation that is likely to be more accurate at lower fluxes. This method has the advantage that it allows to obtain a quick estimate of the gain without having to take multiple flat pairs to construct a full PTC and to fit a model to it.
In addition, the statistics produced by the verification step can be analized by running the Jupyter notebooks in the examples
folder in cp_verify
. As it is shown in these notebooks, useful statistics and information about the results of the cp_verify
tests can be retrieved from the butler via (using flat verification as an example):
runStats = butler.get('verifyFlatStats', instrument='LATISS')
runDetStats = butler.get('verifyFlatDetStats', instrument='LATISS', detector=0, exposure=flatExposureID)
The images processed by cp_verify
can also be retrieved for visual inspection:
import lsst.afw.display as afwDisplay
afwDisplay.setDefaultBackend("matplotlib")
imProc = butler.get('verifyFlatProc', detector=0, exposure=flatExposureID, instrument='LATISS')
calibArray = imProc.getImage().getArray()
# Get simple stats
q25, q50, q75 = np.percentile(calibArray.flatten(), [25, 50, 75])
sigma = 0.74 * (q75 - q25)
display = afwDisplay.Display(dims=(1000, 1000))
display.scale('asinh', 'zscale')
display.scale('linear', (q50 - 3.0 * sigma), (q50 + 3.0* sigma), "")
display.mtv(imProc)
Troubleshooting¶
After checking the configuration options and the
LOVE
error messages, the file/scratch/uws/${jobId}/outs/ocps.log
will contain additional technical information on which pipetask failed, if any.{jobId}
is returned by the OCPS and can be retrieved from theLOVE
output messages.
Contact Personnel¶
This procedure was last modified on Nov 09, 2022.
This procedure was written by Andrés A. Plazas Malagón. The following are contributors: none.