Available metrics

Core LSST MAF metrics

• AbsMaxMetric

  Calculate the max of the absolute value of a simData column slice.

• AbsMaxPercentMetric

  Return the percent of the data which has the absolute value of the max value of the data.

• AbsMeanMetric

  Calculate the mean of the absolute value of a simData column slice.

• AbsMedianMetric

  Calculate the median of the absolute value of a simData column slice.

• AccumulateCountMetric

  Calculate the accumulated stat

• AccumulateM5Metric

  Calculate the accumulated stat

• AccumulateMetric

  Calculate the accumulated stat

• AccumulateUniformityMetric

  Make a 2D version of UniformityMetric

• ActivityOverPeriodMetric

  Count fraction of object period we could identify activity for an SSobject.

• ActivityOverTimeMetric

  Count fraction of survey we could identify activity for an SSobject.

• AveGapMetric

  Calculate the gap between any consecutive observations, in hours, regardless of night boundaries.

• AveSlewFracMetric

  Base class for the metrics.

• BaseMetric

  Base class for the metrics.

• BaseMoMetric

  Base class for the moving object metrics.

• BinaryMetric

  Return 1 if there is data.

• BruteOSFMetric

  Assume I can’t trust the slewtime or visittime colums.

• ChipVendorMetric

  See what happens if we have chips from different vendors

• Coaddm5Metric

  Calculate the coadded m5 value at this gridpoint.

• ColorDeterminationMetric

  Identify SSobjects which could have observations suitable to determine colors.

• CompletenessMetric

  Compute the completeness and joint completeness

• CountMetric

  Count the length of a simData column slice.

• CountRatioMetric

  Count the length of a simData column slice, then divide by ‘normVal’.

• CountSubsetMetric

  Count the length of a simData column slice which matches ‘subset’.

• CountUniqueMetric

  Return the number of unique values.

• CrowdingMagUncertMetric

  Given a stellar magnitude, calculate the mean uncertainty on the magnitude from crowding.

• CrowdingMetric

  Calculate whether the coadded depth in r has exceeded the confusion limit

• DiscoveryMetric

  Identify the discovery opportunities for an SSobject.

• Discovery_EcLonLatMetric

  Returns the ecliptic lon/lat and solar elong of the i-th discovery track of an SSobject.

• Discovery_N_ChancesMetric

  Calculate total number of discovery opportunities for an SSobject.

• Discovery_N_ObsMetric

  Calculates the number of observations in the i-th discovery track of an SSobject.

• Discovery_RADecMetric

  Returns the RA/Dec of the i-th discovery track of an SSobject.

• Discovery_TimeMetric

  Returns the time of the i-th discovery track of an SSobject.

• Discovery_VelocityMetric

  Returns the sky velocity of the i-th discovery track of an SSobject.

• ExgalM5

  Calculate co-added five-sigma limiting depth after dust extinction.

• FftMetric

  Calculate a truncated FFT of the exposure times.

• FilterColorsMetric

  Calculate an RGBA value that accounts for the filters used up to time t0.

• FracAboveMetric

  Find the fraction of data values above a given value.

• FracBelowMetric

  Find the fraction of data values below a given value.

• FullRangeAngleMetric

  Calculate the full range of an angular (degrees) simData column slice.

• FullRangeMetric

  Calculate the range of a simData column slice.

• HighVelocityMetric

  Count number of times an SSobject appears trailed.

• HighVelocityNightsMetric

  Count the number of discovery opportunities (via trailing) for an SSobject.

• HistogramM5Metric

  Calculate the coadded depth for each bin (e.g., per night).

• HistogramMetric

  A wrapper to stats.binned_statistic

• HourglassMetric

  Plot the filters used as a function of time. Must be used with the Hourglass Slicer.

• IdentityMetric

  Return the metric value itself .. this is primarily useful as a summary statistic for UniSlicer metrics.

• InterNightGapsMetric

  Calculate the gap between consecutive observations between nights, in days.

• IntraNightGapsMetric

  Calculate the gap between consecutive observations within a night, in hours.

• KnownObjectsMetric

  Identify SSobjects which could be classified as ‘previously known’ based on their peak V magnitude.

• LightcurveInversionMetric

  Identify SSobjects which would have observations suitable to do lightcurve inversion.

• LongGapAGNMetric

  max delta-t and average of the top-10 longest gaps.

• MagicDiscoveryMetric

  Count the number of discovery opportunities with very good software for an SSobject.

• MaxMetric

  Calculate the maximum of a simData column slice.

• MaxPercentMetric

  Return the percent of the data which has the maximum value.

• MaxStateChangesWithinMetric

  Compute the maximum number of changes of state that occur within a given timespan.

• MeanAngleMetric

  Calculate the mean of an angular (degree) simData column slice.

• MeanMetric

  Calculate the mean of a simData column slice.

• MeanValueAtHMetric

  Return the mean value of a metric at a given H.

• MedianMetric

  Calculate the median of a simData column slice.

• MetricRegistry

  Meta class for metrics, to build a registry of metric classes.

• MinMetric

  Calculate the minimum of a simData column slice.

• MinTimeBetweenStatesMetric

  Compute the minimum time between changes of state in a column value.

• MoCompletenessAtTimeMetric

  Calculate the completeness (relative to the entire population) <= a given H as a function of time,

• MoCompletenessMetric

  Calculate the completeness (relative to the entire population), given the counts of discovery chances.

• NChangesMetric

  Compute the number of times a column value changes.

• NNightsMetric

  Count the number of distinct nights an SSobject is observed.

• NObsMetric

  Count the total number of observations where an SSobject was ‘visible’.

• NObsNoSinglesMetric

  Count the number of observations for an SSobject, without singles.

• NRevisitsMetric

  Calculate the number of consecutive visits with time differences less than dT.

• NStateChangesFasterThanMetric

  Compute the number of changes of state that happen faster than ‘cutoff’.

• NVisitsPerNightMetric

  Histogram the number of visits in each night.

• NightPointingMetric

  Gather relevant information for a night to plot.

• NightgapsMetric

  Histogram the number of nights between observations.

• NormalizeMetric

  Return a metric values divided by ‘normVal’. Useful for turning summary statistics into fractions.

• NoutliersNsigmaMetric

  Calculate the # of visits less than nSigma below the mean (nSigma<0) or

• ObsArcMetric

  Calculate the difference between the first and last observation of an SSobject.

• OpenShutterFractionMetric

  Compute the fraction of time the shutter is open compared to the total time spent observing.

• OptimalM5Metric

  Compare the co-added depth of the survey to one where

• PairFractionMetric

  What fraction of observations are part of a pair.

• PairMetric

  Count the number of pairs that could be used for Solar System object detection

• ParallaxCoverageMetric

  Check how well the parallax factor is distributed. Subtracts the weighted mean position of the

• ParallaxDcrDegenMetric

  Use the full parallax and DCR displacement vectors to find if they are degenerate.

• ParallaxMetric

  Calculate the uncertainty in a parallax measurement given a series of observations.

• PassMetric

  Just pass the entire array through

• PeakVMagMetric

  Pull out the peak V magnitude of all observations of the SSobject.

• PercentileMetric

  Find the value of a column at a given percentile.

• PhaseGapMetric

  Measure the maximum gap in phase coverage for observations of periodic variables.

• ProperMotionMetric

  Calculate the uncertainty in the returned proper motion.

• RadiusObsMetric

  find the radius in the focal plane. returns things in degrees.

• RapidRevisitMetric

  Base class for the metrics.

• RapidRevisitUniformityMetric

  Calculate uniformity of time between consecutive visits on short timescales (for RAV1).

• RmsAngleMetric

  Calculate the standard deviation of an angular (degrees) simData column slice.

• RmsMetric

  Calculate the standard deviation of a simData column slice.

• RobustRmsMetric

  Use the inter-quartile range of the data to estimate the RMS.

• SlewContributionMetric

  Base class for the metrics.

• StarDensityMetric

  Interpolate the stellar luminosity function to return the number of

• StringCountMetric

  Count up the number of times each string appears in a column.

• SumMetric

  Calculate the sum of a simData column slice.

• TableFractionMetric

  Count the completeness (for many fields) and summarize how many fields have given completeness levels

• TeffMetric

  Effective time equivalent for a given set of visits.

• TemplateExistsMetric

  Calculate the fraction of images with a previous template image of desired quality.

• TgapsMetric

  Histogram the times of the gaps between observations.

• TotalPowerMetric

  Calculate the total power in the angular power spectrum between lmin/lmax.

• TransientMetric

  Calculate what fraction of the transients would be detected. Best paired with a spatial slicer.

• UniformityMetric

  Calculate how uniformly the observations are spaced in time.

• UniqueRatioMetric

  Return the number of unique values divided by the total number of values.

• ValueAtHMetric

  Return the metric value at a given H value.

• VisitGroupsMetric

  Count the number of visits per night within deltaTmin and deltaTmax.

• ZeropointMetric

  Return a metric values with the addition of ‘zp’. Useful for altering the zeropoint for summary statistics.

• fOArea

  Metrics based on a specified number of visits, but returning AREA related to Nvisits:

• fONv

  Metrics based on a specified area, but returning NVISITS related to area:

Contributed mafContrib metrics

• AngularSpreadMetric

  Compute the angular spread statistic which measures uniformity of a distribution angles accounting for 2pi periodicity.

• CampaignLengthMetric

  The campaign length, in seasons.

• GRBTransientMetric

  Detections for on-axis GRB afterglows decaying as

• GalaxyCountsMetric

  Estimate the number of galaxies expected at a particular coadded depth.

• MeanNightSeparationMetric

  The mean separation between nights within a season, and then the mean over the campaign.

• NumObsMetric

  Calculate the number of observations per data slice.

• PeriodDeviationMetric

  Measure the percentage deviation of recovered periods for pure sine wave variability (in magnitude).

• PeriodicMetric

  From a set of observation times, uses code provided by Robert Siverd (LCOGT) to calculate the spectral window function.

• PeriodicStarMetric

  At each slicePoint, run a Monte Carlo simulation to see how well a periodic source can be fit.

• RelRmsMetric

  Relative scatter metric (RMS over median).

• SEDSNMetric

  Computes the S/Ns for a given SED.

• SNMetric

  Calculate the signal to noise metric in a given filter for an object of a given magnitude.

• SeasonLengthMetric

  The mean season length, in months.

• StarCountMassMetric

  Find the number of stars in a given field in the mass range fainter than magnitude 16 and bright enough to have noise less than 0.03 in a given band. M1 and M2 are the upper and lower limits of the mass range. ‘band’ is the band to be observed.

• StarCountMetric

  Find the number of stars in a given field between D1 and D2 in parsecs.

• TdcMetric

  Combine campaign length, season length, and mean night speartion into a single metric.

• ThreshSEDSNMetric

  Computes the metric whether the S/N is bigger than the threshold in all the bands for a given SED

• TransientAsciiMetric

  Based on the transientMetric, but uses an ascii input file and provides option to write out lightcurve.

• TripletBandMetric

  Find the number of ‘triplets’ of three images taken in the same band, based on user-selected minimum and maximum intervals (in hours),

• TripletMetric

  Find the number of ‘triplets’ of three images taken in any band, based on user-selected minimum and maximum intervals (in hours),