GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R....

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GSCII Project GSCII Project Gauging the quality of the Gauging the quality of the GSCII DB with QA_2plates: GSCII DB with QA_2plates: First results First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi

Transcript of GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R....

Page 1: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

GSCII ProjectGSCII Project

Gauging the quality of the GSCII DB Gauging the quality of the GSCII DB with QA_2plates: First results with QA_2plates: First results

R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi

Page 2: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Diagram of QA_2plates proceduresDiagram of QA_2plates procedures C O M P A S S V A R IA B L E SIn p u t c o m m o n b lo c kO u tp u t c o m m o n b lo c k

m a ke _ h is tog ram

deep_histogram s

M a g_ m ak e _h is tog ram

m agnitude_histogram s

classeso b jec t_c ou n ts

Statistics:h istogram s

m a k e_ v ec to rs m a g_ vec to rs

vectors

M a ke _ tre n ds

Trends

Statistics:P lots

w rite _d e ep _ in fo rm atio ns

w rite_report

Text:R eport

p lot_overlap_2plates

O verlap geom etry

D efine_internal_VariablesC lass_index

Evaluate M agnitudes

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QA_2Plates

First level procedures (connection with CIQA) Procedure name Level Description Status

Input_variables Common Allows proper data transfer from the FDB to IDL (required for compatibility with CIQA)

Operational

Output_variables Common Declares the names of the internal variables used by the QA_2Plates procedures

“ “

Define_internal_variables First Generates values for internal variables (defined in Output_variables) from the FDB values read in Input_variables

“ “

Evaluate_magnitudes First Computes the magnitude ranges of the measured objects on both plates

“ “

Class_index First Generates tables of indices for all combinations among objects with different classification (needed by several procedures that require classification codes)

“ “

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QA_2Plates: second level procedures Procedure name Level Description Status

Write_report Second Write an ASCII report file with relevant statistical information on the given plates

Operational

Classes Second Generates histograms describing the relative (to the overlap plate) performance of the classifier on the source plate as a function of magnitude

“ “

Plate_overlap_2plates Second Graphic representation of the overlap area between the two plates and most relevant information on the plates themselves (location on sky, passband, ...)

“ “

Vectors Second Vector representation of mean errors in position as function of position on plate (classification is also considered)

“ “

Trends Second Plots mean positional and magnitude differences vs magnitude (object classifications also considered)

“ “

Deep_histograms Second Generates histograms for magnitude and position differences (between the two plates) for all possible classification combinations of the matched objects

“ “

Magnitude_histograms Second Plots histograms of positional differences as a function of magnitude bins and for all possible classifications cases

“ “

Write_report Second Calculates and displays histograms of counts of stars, non stars, and defects as a function of magnitude for the two plates.

“ “

Page 5: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

QA_2Plates:Third level procedures

Procedure name Level Description Status

Make_trends Third Called by the routine Trends Operational

Make_histogram Third Called by Deep_histograms “ “

Make_vectors Third Called by Vectors “ “

Mag_make_histogram Third Called by Magnitude_histograms “ “

Mag _vectors Third Called by Vectors “ “

Write_deep_informations Third Called by Write_report “ “

Other ??? ……. Called by the routine Trends …………

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Star counts

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Magnitude equation

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D(mag) vs mag

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Positional error as function of plate position

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Magnitude error as function of plate position

Page 11: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

The sample of processed plates

•NUMBER OF SOURCE PLATES 067

•NUMBER OF PLATE PAIRS QAed 840

•PAIRS OF GSC I-II/GSCII PLTS WITH RELIABLE RESULTS 708 335

•PAIRS OF GSC I-II /GSCII PLTS WITH SAME COL.DIFF.AREA 127 059

•PAIRS OF GSC I-II /GSCII PLTS WITH SAME AREA DIFF.COL. 091 064

•PAIRS OF GSC I-II /GSCII PLTS WITH DIFF.COL.- DIFF.AREA 479 212

•PAIRS OF GSC I-II /GSCII WITH SAME COL. AND SAME AREA 011 000

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GALACTIC REPRESENTATION OF THE GSCII PLATES AT OATO

Source (+)

Overlap ()

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Results from GSCII plate pairs STARS-STARS NON STARS - NON STARS

mag mag

MEAN VAL.GSCII ALL DATA +0.00 +0.55 -0.00 +0.49 +0.01 +0.47 +0.00 +0.72 -0.00 +0.69 +0.01 +0.59

GSCII ALL DATA +0.42 +0.20 +0.23 +0.17 +1.01 +0.20 +0.38 +0.18 +0.19 +0.17 +1.00 +0.23

MEAN VAL. GSCII SAME COL. +0.02 +0.50 -0.00 +0.44 +0.04 +0.27 +0.02 +0.67 -0.01 +0.61 +0.03 +0.32

OF GSCII SAME COL. +0.51 +0.18 +0.22 +0.15 +0.27 +0.08 +0.48 +0.20 +0.26 +0.17 +0.34 +0.12

MEAN VAL.GSCII SAME AREA +0.00 +0.38 +0.00 +0.36 +0.00 +0.54 +0.00 +0.64 +0.00 +0.63 -0.00 +0.61

OF GSCII SAME AREA +0.15 +0.16 +0.17 +0.15 +1.30 +0.20 +0.13 +0.20 +0.15 +0.20 +1.27 +0.18

MEAN VAL.GSCII DIFF.AREA - COL +0.00 +0.61 -0.00 +0.54 -0.00 +0.51 +0.00 +0.76 -0.00 +0.72 +0.00 +0.65

OF GSCII DIFF. AREA - COL. +0.44 +0.17 +0.24 +0.16 +1.04 +0.19 +0.39 +0.15 +0.19 +0.16 +1.03 +0.20

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Results of generic pair of plates

0 – 0 3 – 3

MEAN of ALL GSCII PAIRS +0.00 +0.00

of ALL GSCII PAIRS +0.42 +0.38

MEAN of PAIRS WITH SAME COLOR +0.02 +0.02

of PAIRS WITH SAME COLOR +0.51 +0.48

MEAN of PAIRS WITH SAME AREA +0.00 +0.00

of PAIRS WITH SAME AREA +0.15 +0.13

MEAN of PAIRS WITH DIFF. AREA AND COLOR +0.00 +0.00

of PLTS WITH DIFF. AREA AND COLOR +0.44 +0.39

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Percentage of outliers

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Comparison GSCI + GSCII and GSCII plates ( case ) stars – stars

Page 17: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCI + GSCII and GSCII plates ( case ) stars – stars

Page 18: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCI + GSCII and GSCII plates ( case ) nostars – nostars

Page 19: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates ( case ) stars/stars and non stars/non stars

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Comparison GSCII ( )star-star case

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Comparison GSCII ( )non star-non star case

Page 22: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( )star-star case, same color

Page 23: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( )star/star and non-star/non-star case

same color

Page 24: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( ) star/star case same area/diff. color and same color/diff. area

Page 25: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( ) non-star/non-star case same area/diff. color and same color/diff. area

Page 26: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( ) star/star and non-star/non-star

same area/diff. color

Page 27: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCI + GSCII and GSCII plates ( magnitude) star–star

Page 28: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCI + GSCII and GSCII plates ( magnitude) non-star/non-star

Page 29: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates ( magnitude) star/star and non-star/non-star

Page 30: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( mag.) star/star case same color/diff. area and same area/diff. color

Page 31: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII ( mag.) non-stars/non-stars case same color/diff. area and same area/diff. color

Page 32: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates( mag ) star/star and non-star/non-star same color – diff. area

Page 33: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates( mag ) star/star and non-star/non-star diff. color – same area

Page 34: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates() star/star and non-star/non-star

Page 35: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates (and) star/star

Page 36: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates() star/star and non-star/non-star same color and different area

Page 37: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates() star/star and non-star/non-star different color and same area

Page 38: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates() star/star diff. color/same area and same color/diff. area

Page 39: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates() non-star/non-star diff. color/same area and same color/diff. area

Page 40: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates( mag ) star/star and non-star/non-star

Page 41: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates( mag ) star/star same color/diff. area – diff. Color/same area

Page 42: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Comparison GSCII plates( mag ) non-star/non-star same color/diff. area – diff. Color/same area

Page 43: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

1. THIS IS A FIRST SYSTEMATIC ASSESSMENT OF GSCII DATA QUALITY BASED ON A LIMITED NUMBER OF PLATES. THESE ARE DISTRIBUTED AROUND THE GALACTIC PLANE AND THE GALACTIC POLES.

2. AS EXPECTED, THE ASTROMETRY IN BOTH COORDINATES IS BETTER FOR THE STAR/STAR CASES THAN FOR THE NON-STAR/NON-STAR ONES

3. THE () IS ON AVERAGE BETTER THAN () IRRESPECTIVE OF CLASSIFICATION

4. THE ASTROMETRY IS GENERALLY BETTER FOR PLATE PAIRS HAVING SAME AREA AND DIFFERENT COLOR IRRESPECTIVE OF OBJECT CLASSIFICATION

5. THE PHOTOMETRY APPEARS VERY CONSISTENT IRRESPECTIVE OF CLASSIFICATION. ON PAIRS OF EQUAL-BANDPASS PLATES THE AVERAGE ERROR (IN THE DIFFERENCE) IS ~0.3 MAG

Summary Notes

Page 44: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

Summary Notes (continues)

6. AS EXPECTED, THE MEAN VALUES IN , AND ( mag) ARE CENTERED AROUND THE NULL VALUE

7. MORE INTERESTING, THE DEVIATIONS OF , AND ( mag) FROM THEIR MEAN VALUES SHOW THE EXPECTED BEHAVIORS FOR THE DIFFRENT CLASSES OF PLATE PAIRS (SAME AREA, DIFFERENT AREA, SAME BANDPASS, DIFF. BANDPASS, ETC.)

8. THIS GLOBAL QA DOES ALLOW THE DETECTION OF ANOMALOUS PLATES, AS IT WAS THE CASE FOR G039 (S020)

9. THIS TYPE OF ANALYSIS NEEDS TO BE RE-RUN ON A REPRESENTATIVE SET OF PLATES IN THE PRODUCTION DB AT ST ScI

Page 45: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

First comparison to 2Mass

The following figure shows the results of matching GSC2.1.1 data to the

2MASS catalog. The area matched is approximately 30 arcmin in radius and

corresponds to a region close to the lower edge of a second generation

survey plate. The left panels show the one-dimensional residuals as function

of magnitude for the two bandpasses J and F. The rightmost panels show the

residuals in distance. Averaging over the whole magnitude range provided the

following results: 0.3 +/- 0.5 in RA (on the sky) and 0.5 +/- 0.13 in DEC.

Page 46: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.

First comparison to 2MASS data

Page 47: GSCII Project Gauging the quality of the GSCII DB with QA_2plates: First results R. Pannunzio, R. Morbidelli, A Spagna, M. G.Lattanzi.