N. Mandolesi et al.: The <strong>Planck</strong>-LFI programmeTable 4. Measured performance parameters of the LFI passivecomponents.Feed HornsOMTsWaveguidesReturn Loss 1 ,Cross-polar(±45 ◦ )andCo-polarpatterns (E, H and ±45 ◦ planes) in amplitudeand phase, Edge taper at 22 ◦Insertion Loss, Return Loss, Cross-polarisation,IsolationInsertion Loss, Return Loss, IsolationNotes. (1) Return loss and patterns (E, H for all frequencies, also ±45 ◦and cross-polar for the 70 GHz system) have been measured for theassembly Feed Horn + OMT as well.Passive components, i.e., feed-horns, OMTs, and waveguides,were tested at room conditions at the Plasma PhysicsInstitute of the National Research Council (IFP-CNR) using aVector Network Analyser. A summary of the measured performanceparameters is provided in Table 4; measurementsand results are discussed in detail in Villa et al. (2009) andD’Arcangelo et al. (2009a,b).In addition, radiometric performance was measured severaltimes during the LFI development on individual subunits(e.g., amplifiers, phase switches, detector diodes) on integratedfront-end and back-end modules (Davis et al. 2009; Artal et al.2009; Varis et al. 2009)andonthecompleteradiometricassemblies,both as independent RCAs (Villa et al. 2010) andinRAA, the final integrated instrument configuration (Mennellaet al. 2010).In Table 5 (taken from Mennella et al. 2010), we list the mainLFI radiometric performance parameters and the integration levelsat which they have been measured. After the flight instrumenttest campaign, the LFI was cryogenically tested again afterintegration on the satellite with the HFI, while the final characterisationwill be performed in-flight before starting nominaloperations.The RCA and RAA test campaigns have been important tocharacterizing the instrument functionality and behaviour, andmeasuring its expected performance in flight conditions. In particular,30 GHz and 44 GHz RCAs were integrated and testedin Italy, at the Thales Alenia Space (TAS-I) laboratories inMilan, while the 70 GHz RCA test campaign was carried out inFinland at the Yilinen-Elektrobit laboratories (Villa et al. 2010).After this testing phase, the 11 RCAs were collected and integratedwith the flight electronics in the LFI main frame atthe TAS-I labs, where the instrument final test and calibrationhas taken place (Mennella et al. 2010). Custom-designed cryofacilities(Terenzi et al. 2009b;Morganteetal.,inprep.)andhigh-performance black-body input loads (Terenzi et al. 2009a;Cuttaia et al. 2009) weredevelopedtotesttheLFIinthemostflight-representative environmental conditions.Aparticularpointmustbemadeaboutthefront-endbiastuning, which is a key step in determining the instrument scientificperformance. Tight mass and power constraints called forasimpledesignoftheDAEboxsothatpowerbiaslinesweredivided into five common-grounded power groups with no biasvoltage readouts. Only the total drain current flowing through thefront-end amplifiers is measured and is available to the housekeepingtelemetry.This design has important implications for front-end biastuning, which depends critically on the satellite electrical andthermal configuration. Therefore, this step was repeated at all integrationstages and will also be repeated during ground satellitetests and in-flight before the start of nominal operations. DetailsTable 5. Main calibration parameters and where they have been/will bemeasured.Category Parameters RCA RAA SAT FLITuning FE LNAs Y Y Y YFE PS Y Y Y YBE offset and gain Y Y Y YQuantisation/compression N Y Y YRadiom. Photometric calibration Y Y Y YLinearity Y Y Y YIsolation Y Y Y YIn-band response Y N N NNoise White noise Y Y Y YKnee freq. Y Y Y Y1/ f slope Y Y Y YSusc. FE temperature fluctuations Y Y Y YBE temperature fluctuations Y Y N NFE bias fluctuations Y Y N NNotes. The following abbreviations have been used: SAT = Satellite;FLI = In-flight; FE = Front-end; BE = Back-end; LNA = Low noiseamplifier; PS = Phase switch; Radiom = Radiometric; and Susc =Susceptibility.Table 6. Calibrated white noise from ground-test results extrapolated tothe CMB input signal level.Frequency channel 30 GHz 44 GHz 70 GHzWhite noise per ν channel 141–154 152–160 130–146[µK· √s]Notes. Two different methods are used to provide a reliable range ofvalues (see Mennella et al. 2010, forfurtherdetails).Thefinalverificationof sensitivity will be derived in-flight during the commissioningperformance verification (CPV) phase.about the bias tuning performed on front-end modules and on theindividual integrated RCAs can be found in Davis et al. (2009),Varis et al. (2009), and Villa et al. (2010).Parameters measured on the integrated instrument werefound to be essentially in line with measurements performedon individual receivers; in particular, the LFI shows excellent1/ f stability and rejection of instrumental systematic effects.On the other hand, the very ambitious sensitivity goals have notbeen fully met and the white noise sensitivity (see Table 6) is∼30% higher than requirements. Nevertheless, the measured performancemakes LFI the most sensitive instrument of its kind, afactor of 2 to 3 superior to WMAP 8 at the same frequencies.6. LFI data processing centre (DPC)To take maximum advantage of the capabilities of the <strong>Planck</strong>mission and achieve its very ambitious scientific objectives,proper data reduction and scientific analysis procedures were defined,designed, and implemented very carefully. The data processingwas optimized so as to extract the maximum amount ofuseful scientific information from the data set and deliver thecalibrated data to the broad scientific community within a rathershort period of time. As demonstrated by many previous spacemissions using state-of-the-art technologies, optimal scientificexploitation is obtained by combining the robust, well-definedarchitecture of a data pipeline and its associated tools with thehigh scientific creativity essential when facing unpredictable8 Calculated on the final resolution element per unit integration time.Page 15 of 24
A&A 520, A3 (2010)features of the real data. Although many steps required for thetransformation of data were defined during the development ofthe pipeline, since most of the foreseeable ones have been implementedand tested during simulations, some of them will remainunknown until flight data are obtained.<strong>Planck</strong> is a PI mission, and its scientific achievements willdepend critically on the performance of the two instruments, LFIand HFI, on the cooling chain, and on the telescope. The dataprocessing will be performed by two DPCs (Pasian et al. 2000;Pasian & Gispert 2000; Pasian & Sygnet 2002). However, despitethe existence of two separate distributed DPCs, the successof the mission relies heavily on the combination of the measurementsfrom both instruments.The development of the LFI DPC software has been performedin a collaborative way across a consortium spread over20 institutes in a dozen countries. Individualscientistsbelongingto the software prototyping team have developed prototypecodes, which have then been delivered to the LFI DPC integrationteam. The latter is responsible for integrating, optimizing,and testing the code, and has produced the pipeline software tobe used during operations. This development takes advantage oftools defined within the <strong>Planck</strong> IDIS (integrated data and informationsystem) collaboration.Asoftwarepolicyhasdefined,toallowtheDPCperformthebest most superior algorithms within its pipeline, while fosteringcollaboration inside the LFI consortium and across <strong>Planck</strong>, andpreserving at the same time the intellectual property of the codeauthors on the processing algorithms devised.The <strong>Planck</strong> DPCs are responsible for the delivery and archivingof the following scientific data products, which are the deliverablesof the <strong>Planck</strong> mission:– Calibrated time series data, for eachreceiver,afterremovalof systematic features and attitude reconstruction.– Photometrically and astrometrically calibrated maps of thesky in each of the observed bands.– Sky maps of the main astrophysical components.– Catalogues of sources detected in the sky maps of the mainastrophysical components.– CMB power spectrum coefficients and an associated likelihoodcode.Additional products, necessary for the total understanding ofthe instrument, are being negotiated for inclusion in the <strong>Planck</strong>Legacy Archive (PLA). The products foreseen to be added to theformally defined products mentioned above are:– Data sets defining the estimated characteristics of each detectorand the telescope (e.g. detectivity, emissivity, time response,main beam and side lobes, etc.).– “Internal” data (e.g. calibration data-sets,dataatintermediatelevel of processing).– Ground calibration and assembly integration and verification(AIV) databases produced during the instrument development;and by gathering all information, data, and documentsrelative to the overall payload and all systems and subsystems.Most of this information is crucial for processing flightdata and updating the knowledge and performance of theinstrument.The LFI DPC processing can be logically divided into threelevels:– Level 1: includes monitoring of instrument health and behaviourand the definition of corrective actions in the case ofunsatisfactory function, and the generation of time orderedinformation (TOI, a set of ordered information on either atemporal or scan-phase basis), as well as data display, checking,and analysis tools.– Level 2: TOIs produced at Level 1 will be cleaned by removingnoise and many other types of systematic effects onthe basis of calibration information. The final product of theLevel 2 includes “frequency maps”.– Level 3: “component maps” will be generated by this levelthrough a decompositionofindividual“frequencymaps”andby also using products from the other instrument and, possibly,ancillary data.One additional level (“Level S”) is also implemented to developthe most sophisticated simulations based on true instrument parametersextracted during the ground test campaigns.In the following sections, we describe the DPC Levels andthe software infrastructure, and we finally report briefly on thetests that were applied to ensure that all pipelines are ready forthe launch.6.1. DPC Level 1Level 1 takes input from the MOC’s data distribution system(DDS), decompresses the raw data, and outputs time ordered informationfor Level 2. Level 1 does not include scientific processingof the data; actions are performed automatically by usingpre-defined input data and information from the technical teams.The inputs to Level 1 are telemetry (TM) and auxiliary data asthey are released by the MOC. Level 1 uses TM data to performaroutineanalysis(RTA–realtimeassessment)ofthespacecraftand instrument status, in addition to what is performed at theMOC, with the aim of monitoring the overall health of the payloadand detecting possible anomalies. A quick-look data analysis(TQL – telemetry quick look) of the science TM is also done,to monitor the operation of the observation plan and verify theperformance of the instrument. This processing is meant to leadto the full mission raw-data stream in a form suitable for subsequentdata processing by the DPC.Level 1 also deals with all activities related to the productionof reports. This task includes the results of telemetry analysis,but also the results of technical processing carried out on TOI tounderstand the current and foreseen behaviour of the instrument.This second item includes specific analysis of instrument performance(LIFE – LFI Integrated perFormance Evaluator), andmore general checking of time series (TSA – time series analysis)for trend analysis purposes and comparison with the TOIfrom the other instrument. The additional tasks of Level 1 relateto its role as an instrument control and DPC interface with theMOC. In particular, the following actions are performed:– <strong>Pre</strong>paration of telecommanding procedures aimed at modifyingthe instrument setup.– <strong>Pre</strong>paration of Mission Information dataBases (MIBs).– Communicate to the MOC “longer-term” inputs derivedfrom feedback from DPC processing.– Calibration of REBA parameters to fit long-term trends inthe instrument setup.In Level 1, all actions are planned to be performed on a “day-today”basis during operation. In Fig. 12, thestructureofLevel1and required timings are shown. For more details, we refer toZacchei et al. (2009).Page 16 of 24
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