calibration development strategies for the daniel k ... · process. ourknowledgeofthe ......

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As telescopes have grown larger and data rates have increased, so have the challenges in providing reliable and accurate calibration strategies for transforming raw data into useful science-ready outputs. The Daniel K. Inouye Solar Telescope (DKIST) will be the largest solar telescope in the world and will use adaptive optics to provide the highest resolution view of the Sun. Its data acquisition rates will be in the hundreds of thousands of frames per day, and it will deliver an average of 11TB of raw solar data on a daily basis. DKIST data will enable significant and transformative discoveries that will dramatically increase our understanding of the Sun and its effects on the Sun-Earth environment. As such, it is a priority of the DKIST Data Center team at the National Solar Observatory (NSO) to be able to deliver timely and accurately calibrated data to the astronomical community for further analysis. The facility will execute a variety of investigator-driven observing programs, which will produce day-to-day variations in the types of acquired data. In combination with large data rates and limited personnel, this will require some degree of automation to be incorporated into the calibration workflows to facilitate the generation of scientifically useful data. The heterogeneity of the data and the unpredictable variations in the seeing conditions (on timescales of seconds or minutes) introduce complexity, which requires a self-adapting, extensible calibration pipeline to provide sufficient automation to the process. Our knowledge of the instrument performance and telescope characteristics will grow as the telescope begins operations, and continuously through the facility lifetime. The automated calibration pipelines will be capable of modification and improvement to incorporate the new information about the DKIST system, as well as potential improvements provided by the DKIST user community. Abstract Calibration development strategies for the Daniel K. Inouye (DKIST) Data Center Fraser Watson, Steven Berukoff, Tony Hays, Kevin Reardon, Daniel Spiess, Scott Wiant National Solar Observatory, Boulder CO DKIST instrumentation The DKIST facility will house a suite of 5 instruments to support science observations: Calibrations CRYO-NIRSP: an infrared spectropolarimeter designed to measure magnetic fields in the solar corona. DL-NIRSP: an integral field unit, fiber fed, spectropolarimeter for studying solar magnetism in a variety of regimes. VBI: a high resolution, high cadence imager which will often be used to provide context for observations from other DKIST instruments. ViSP: an echelle spectrograph for studying polarisation effects, magnetism via the Zeeman effect, and diagnostics of the Hanle effect in the solar atmosphere. VTF: a Fabry-Perot interferometer designed to allow for rapid imaging spectrometry to study dynamics and magnetism in the photosphere and corona. Some instrument configurations will be capable of operating simultaneously to provide more complete information on the target being observed. Calibrations development for the DKIST is a complex problem due to the range of scientific investigations that will be carried out by the various instruments. To ease the development process, the Data Center is using a modular approach to build calibration pipelines for each instrument. This allows us to take advantage of similarities between instruments. For example, each instrument will use a dark frame module, but only DL- NIRSP will have to demux the integral field unit fibers. To simplify the creation and implementation of these prototype modules, the Data Center is using Jupyter notebooks and Python for development. These allow the combination of executable code, descriptive text, HTML rendering, equation rendering, and visualisations in one single document. Due to the volumes of data that will be created by the DKIST, some degree of automated calibration processing is required to be supported by the Data Center. However, full automation is likely not possible, nor desired. DKIST will observe at spatial scales not yet explored and it is unknown what features may be discovered. As such, it is dangerous to implement automated calibration routines that may remove unknown features and so a capability for manual calibration is also required, alongside manual oversight of automated processes. An example Jupyter notebook showing text, executable code, and visualisation. The DKIST facility will differ greatly from another current generation high resolution and cadence observatory, the Solar Dynamics Observatory (SDO). The three SDO instruments take images of the full solar disk at regular intervals and continuously beam them back to Earth for analysis. The major advantage of the SDO is consistency. The instruments are taking images of the same object, at the same scale, at very regular intervals. As such, many calibration steps can be removed. The DKIST has a far smaller field-of-view, and only a small part of the Sun can be observed at any one time. There are also large differences in the reduction of data that contain solar flares, data of sunspots, data of the quiet Sun, or data of tenuous coronal magnetic fields. SDO also flies in space, which removes large aspects of calibration, as there is no atmosphere present in any SDO observations. The calibration of DKIST data will have to include algorithms to remove effects from the Earth's atmosphere, and these are traditionallydifficult and computationallyexpensive. Developing the calibration modules for the DKIST instruments is a process that stems from two starting points: a theoretical analysis of all of the possible calibration steps for an instrument, and a working exemplar from a current generation instruments. All of the DKIST instruments have some form of current generation analogue that can be used as a source of operational knowledge, however they are research grade codes that are not necessarily suitable for operational use in the Data Center. By taking these two approaches, the Data Center can combine them into working prototypes of calibration modules and can begin to piece them together into a framework that is suitable for simulated or test data. The Data Center is also going to be in detailed discussion with the instrument partners as their intimate knowledge of instrument design and characteristics makes them key partners in effective calibration design. Render of the Coudé table showing instrument and beamsplitter configuration. DKIST instrument Exemplar instrument CRYO-NIRSP CYRA at Big Bear Solar Observatory DL-NIRSP SPIES at the University of Hawai’i VBI ROSA at the Dunn Solar Telescope ViSP FIRS at the Dunn Solar Telescope VTF IBIS at the Dunn Solar Telescope

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Page 1: Calibration development strategies for the Daniel K ... · process. Ourknowledgeofthe ... modification and improvement to incorporate the new information about the DKIST system,

As telescopes have grown larger and data rates haveincreased, so have the challenges in providing reliable andaccurate calibration strategies for transforming raw datainto useful science-ready outputs. The Daniel K. Inouye SolarTelescope (DKIST) will be the largest solar telescope in theworld and will use adaptive optics to provide the highestresolution view of the Sun. Its data acquisition rates will bein the hundreds of thousands of frames per day, and it willdeliver an average of 11TB of raw solar data on a daily basis.DKIST data will enable significant and transformativediscoveries that will dramatically increase our understandingof the Sun and its effects on the Sun-Earth environment. Assuch, it is a priority of the DKIST Data Center team at theNational Solar Observatory (NSO) to be able to delivertimely and accurately calibrated data to the astronomicalcommunity for further analysis. The facility will execute avariety of investigator-driven observing programs, which willproduce day-to-day variations in the types of acquired data.In combination with large data rates and limited personnel,this will require some degree of automation to beincorporated into the calibration workflows to facilitate thegeneration of scientifically useful data. The heterogeneity ofthe data and the unpredictable variations in the seeingconditions (on timescales of seconds or minutes) introducecomplexity, which requires a self-adapting, extensiblecalibration pipeline to provide sufficient automation to theprocess. Our knowledge of the instrument performance andtelescope characteristics will grow as the telescope beginsoperations, and continuously through the facility lifetime.The automated calibration pipelines will be capable ofmodification and improvement to incorporate the newinformation about the DKIST system, as well as potentialimprovements providedby the DKIST user community.

Abstract

Calibration development strategies for the Daniel K. Inouye (DKIST) Data CenterFraser Watson, Steven Berukoff, Tony Hays, Kevin Reardon, Daniel Spiess, Scott Wiant

National Solar Observatory, Boulder CO

DKIST instrumentationTheDKISTfacilitywillhouseasuiteof5instrumentstosupportscienceobservations:

Calibrations

CRYO-NIRSP: an infrared spectropolarimeter designed tomeasure magnetic fields in the solar corona.

DL-NIRSP: an integral field unit, fiber fed,spectropolarimeter for studying solar magnetism in avariety of regimes.

VBI: a high resolution, high cadence imager which will oftenbe used to provide context for observations from otherDKIST instruments.

ViSP: an echelle spectrograph for studying polarisationeffects, magnetism via the Zeeman effect, and diagnosticsof the Hanle effect in the solar atmosphere.

VTF: a Fabry-Perot interferometer designed to allow forrapid imaging spectrometry to study dynamics andmagnetism in the photosphere and corona.

Some instrument configurations will be capable ofoperating simultaneously to provide more completeinformationon the target being observed.

Calibrations development for the DKIST is a complexproblem due to the range of scientific investigations thatwill be carried out by the various instruments. To ease thedevelopment process, the Data Center is using a modularapproach to build calibration pipelines for eachinstrument. This allows us to take advantage ofsimilarities between instruments. For example, eachinstrument will use a dark frame module, but only DL-NIRSP will have to demux the integral field unit fibers.

To simplify the creation and implementation of theseprototype modules, the Data Center is using Jupyternotebooks and Python for development. These allow thecombination of executable code, descriptive text, HTMLrendering, equation rendering, and visualisations in onesingle document.

Due to the volumes of data that will be created by theDKIST, some degree of automated calibration processing isrequired to be supported by the Data Center. However, fullautomation is likely not possible, nor desired. DKIST willobserve at spatial scales not yet explored and it is unknownwhat features may be discovered. As such, it is dangerousto implement automated calibration routines that mayremove unknown features and so a capability for manualcalibration is also required, alongside manual oversight ofautomated processes.

An example Jupyter notebook showing text, executable code, and visualisation.

The DKIST facility will differ greatly from anothercurrent generation high resolution and cadenceobservatory, the Solar Dynamics Observatory (SDO).The three SDO instruments take images of the full solardisk at regular intervals and continuously beam themback to Earth for analysis. The major advantage of theSDO is consistency. The instruments are taking imagesof the same object, at the same scale, at very regularintervals. As such, many calibration steps can beremoved. The DKIST has a far smaller field-of-view, andonly a small part of the Sun can be observed at any onetime. There are also large differences in the reductionof data that contain solar flares, data of sunspots, dataof the quiet Sun, or data of tenuous coronal magneticfields. SDO also flies in space, which removes largeaspects of calibration, as there is no atmospherepresent in any SDO observations. The calibration ofDKIST data will have to include algorithms to removeeffects from the Earth's atmosphere, and these aretraditionallydifficult and computationallyexpensive.

Developing the calibration modules for the DKISTinstruments is a process that stems from two startingpoints: a theoretical analysis of all of the possiblecalibration steps for an instrument, and a workingexemplar from a current generation instruments. All ofthe DKIST instruments have some form of currentgeneration analogue that can be used as a source ofoperational knowledge, however they are researchgrade codes that are not necessarily suitable foroperational use in the Data Center.

By taking these two approaches, the Data Center cancombine them into working prototypes of calibrationmodules and can begin to piece them together into aframework that is suitable for simulated or test data.The Data Center is also going to be in detaileddiscussion with the instrument partners as theirintimate knowledge of instrument design andcharacteristics makes them key partners in effectivecalibrationdesign.

Render of the Coudé table showing instrument and beamsplitter configuration.

DKISTinstrument Exemplar instrument

CRYO-NIRSP CYRAatBigBearSolar Observatory

DL-NIRSP SPIESattheUniversityofHawai’i

VBI ROSAattheDunnSolarTelescope

ViSP FIRSattheDunn SolarTelescope

VTF IBISattheDunnSolar Telescope