lsst.display.firefly.footprints Namespace Reference

Functions
def	recordSelector (record, selection)
def	createFootprintsTable (catalog, xy0=None, insertColumn=4)

Function Documentation

createFootprintsTable()

def lsst.display.firefly.footprints.createFootprintsTable	(		catalog,
			xy0 = None,
			insertColumn = 4
	)

make a VOTable of SourceData table and footprints

Parameters:
-----------
catalog : `lsst.afw.table.SourceCatalog`
        Source catalog from which to display footprints.
xy0 : tuple or list or None
    Pixel origin to subtract off from the footprint coordinates.
    If None, the value used is (0,0)
insertColumn : `int`
    Column at which to insert the "family_id" and "category" columns

Returns:
--------
`astropy.io.votable.voTableFile`
    VOTable object to upload to Firefly

Definition at line 62 of file footprints.py.

def createFootprintsTable(catalog, xy0=None, insertColumn=4):
    """make a VOTable of SourceData table and footprints
 
    Parameters:
    -----------
    catalog : `lsst.afw.table.SourceCatalog`
            Source catalog from which to display footprints.
    xy0 : tuple or list or None
        Pixel origin to subtract off from the footprint coordinates.
        If None, the value used is (0,0)
    insertColumn : `int`
        Column at which to insert the "family_id" and "category" columns
 
    Returns:
    --------
    `astropy.io.votable.voTableFile`
        VOTable object to upload to Firefly
    """
    if xy0 is None:
        xy0 = geom.Point2I(0, 0)
 
    _catalog = afwTable.SourceCatalog(catalog.table.clone())
    _catalog.extend(catalog, deep=True)
    sourceTable = _catalog.asAstropy()
 
    # Change int64 dtypes so they convert to VOTable
    for colName in sourceTable.colnames:
        if sourceTable[colName].dtype.num == 9:
            sourceTable[colName].dtype = np.dtype('long')
 
    inputColumnNames = sourceTable.colnames
 
    x0, y0 = xy0
    spanList = []
    peakList = []
    familyList = []
    categoryList = []
    fpxll = []
    fpyll = []
    fpxur = []
    fpyur = []
    for record in catalog:
        footprint = record.getFootprint()
        recordId = record.getId()
        spans = footprint.getSpans()
        scoords = [(s.getY()-y0, s.getX0()-x0, s.getX1()-x0) for s in spans]
        scoords = np.array(scoords).flatten()
        scoords = np.ma.MaskedArray(scoords, mask=np.zeros(len(scoords),
                                                           dtype=np.bool))
        fpbbox = footprint.getBBox()
        corners = [(c.getX()-x0, c.getY()-y0) for c in fpbbox.getCorners()]
        fpxll.append(corners[0][0])
        fpyll.append(corners[0][1])
        fpxur.append(corners[2][0])
        fpyur.append(corners[2][1])
        peaks = footprint.getPeaks()
        pcoords = [(p.getFx()-x0, p.getFy()-y0) for p in peaks]
        pcoords = np.array(pcoords).flatten()
        pcoords = np.ma.MaskedArray(pcoords, mask=np.zeros(len(pcoords),
                                                           dtype=np.bool))
        fpbbox = footprint.getBBox()
        parentId = record.getParent()
        nChild = record.get('deblend_nChild')
        if parentId == 0:
            familyList.append(recordId)
            if nChild > 0:
                # blended parent
                categoryList.append('blended parent')
            else:
                # isolated
                categoryList.append('isolated')
        else:
            # deblended child
            familyList.append(parentId)
            categoryList.append('deblended child')
        spanList.append(scoords)
        peakList.append(pcoords)
 
    sourceTable.add_column(Column(np.array(familyList)),
                           name='family_id',
                           index=insertColumn)
    sourceTable.add_column(Column(np.array(categoryList)),
                           name='category',
                           index=insertColumn+1)
    sourceTable.add_column(Column(np.array(spanList)), name='spans')
    sourceTable.add_column(Column(np.array(peakList)), name='peaks')
    sourceTable.add_column(Column(np.array(fpxll)), name='footprint_corner1_x')
    sourceTable.add_column(Column(np.array(fpyll)), name='footprint_corner1_y')
    sourceTable.add_column(Column(np.array(fpxur)), name='footprint_corner2_x')
    sourceTable.add_column(Column(np.array(fpyur)), name='footprint_corner2_y')
 
    outputVO = from_table(sourceTable)
    outTable = outputVO.get_first_table()
 
    outTable.infos.append(Info(name='contains_lsst_footprints', value='true'))
    outTable.infos.append(Info(name='contains_lsst_measurements', value='true'))
    outTable.infos.append(Info(name='FootPrintColumnNames',
                               value='id;footprint_corner1_x;footprint_corner1_y;' +
                               'footprint_corner2_x;footprint_corner2_y;spans;peaks'))
    outTable.infos.append(Info(name='pixelsys', value='zero-based'))
    # Check whether the coordinates are included and are valid
    if (('slot_Centroid_x' in inputColumnNames) and
            ('slot_Centroid_y' in inputColumnNames) and
            np.isfinite(outTable.array['slot_Centroid_x']).any() and
            np.isfinite(outTable.array['slot_Centroid_y']).any()):
        coord_column_string = 'slot_Centroid_x;slot_Centroid_y;ZERO_BASED'
    elif (('coord_ra' in inputColumnNames) and
            ('coord_dec' in inputColumnNames) and
            np.isfinite(outTable.array['coord_ra']).any() and
            np.isfinite(outTable.array['coord_dec']).any()):
        coord_column_string = 'coord_ra;coord_dec;EQ_J2000'
    elif (('base_SdssCentroid_x' in inputColumnNames) and
            ('base_SdssCentroid_y' in inputColumnNames) and
            np.isfinite(outTable.array['base_SdssCentroid_x']).any() and
            np.isfinite(outTable.array['base_SdssCentroid_y']).any()):
        coord_column_string = 'base_SdssCentroid_x;base_SdssCentroid_y;ZERO_BASED'
    elif (('base_NaiveCentroid_x' in inputColumnNames) and
            ('base_NaiveCentroid_y' in inputColumnNames) and
            np.isfinite(outTable.array['base_NaiveCentroid_x']).any() and
            np.isfinite(outTable.array['base_NaiveCentroid_y']).any()):
        coord_column_string = 'base_NaiveCentroid_x;base_NaiveCentroid_y;ZERO-BASED'
    else:
        raise RuntimeError('No valid coordinate columns in catalog')
    outTable.infos.append(Info(name='CatalogCoordColumns',
                               value=coord_column_string))
 
    for f in outTable.fields:
        if f.datatype == 'bit':
            f.datatype = 'boolean'
 
    outTable._config['version_1_3_or_later'] = True
    outputVO.set_all_tables_format('binary2')
 
    return(outputVO)

recordSelector()

def lsst.display.firefly.footprints.recordSelector	(		record,
			selection
	)

Select records from source catalog

Parameters:
-----------
record : `lsst.afw.detect.SourceRecord`
    record to select
selection : `str`
    'all' to select all records. 'blended parents' to select records with
    more than zero children. 'deblended children' to select records with
    non-zero parents. 'isolated' to select records that are not blended,
    meaning zero parents and zero children.
    Values to check for sel

Definition at line 32 of file footprints.py.

def recordSelector(record, selection):
    """Select records from source catalog
 
    Parameters:
    -----------
    record : `lsst.afw.detect.SourceRecord`
        record to select
    selection : `str`
        'all' to select all records. 'blended parents' to select records with
        more than zero children. 'deblended children' to select records with
        non-zero parents. 'isolated' to select records that are not blended,
        meaning zero parents and zero children.
        Values to check for sel
    """
    nChildren = record.get('deblend_nChild')
    parentId = record.getParent()
    if selection == 'all':
        return True
    elif selection == 'blended parents':
        return (nChildren > 0)
    elif selection == 'deblended children':
        return (parentId > 0)
    elif selection == 'isolated':
        return ((parentId == 0) and (nChildren == 0))
    else:
        raise RuntimeError('invalid selection: {}'.format(selection) +
                           '\nMust be one of "all", "blended parents", ' +
                           '"deblended children", "isolated"')