java.lang.Object
- org.rcsb.cif.model.BaseCategory
- - org.rcsb.cif.model.generated.DiffrnReflns

All Implemented Interfaces:

Category
```
@Generated("org.rcsb.cif.generator.SchemaGenerator")
public class DiffrnReflns
extends BaseCategory
```
Data items in the DIFFRN_REFLNS category record details about the set of intensities measured in the diffraction experiment. The DIFFRN_REFLN data items refer to individual intensity measurements and must be included in looped lists. The DIFFRN_REFLNS data items specify the parameters that apply to all intensity measurements in a diffraction data set.

Field Summary
- Fields inherited from class org.rcsb.cif.model.BaseCategory
  isText, textFields

Constructor Summary

Constructors
Constructor	Description
`DiffrnReflns(String name)`
`DiffrnReflns(String name, int rowCount, Object[] encodedColumns)`
`DiffrnReflns(String name, Map<String,Column> columns)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`FloatColumn`	`getAvREquivalents()`	The residual [sum\|avdel(I)\| / sum\|av(I)\|] for symmetry-equivalent reflections used to calculate the average intensity av(I).
`FloatColumn`	`getAvSigmaIOverNetI()`	Measure [sum\|sigma(I)\|/sum\|net(I)\|] for all measured reflections.
`FloatColumn`	`getAvUnetI_netI()`	Measure [sum u(net I)\|/sum\|net I\|] for all measured reflections.
`StrColumn`	`getDiffrnId()`	This data item is a pointer to _diffrn.id in the DIFFRN category.
`IntColumn`	`getLimitHMax()`	The maximum value of the Miller index h for the reflection data specified by _diffrn_refln.index_h.
`IntColumn`	`getLimitHMin()`	The minimum value of the Miller index h for the reflection data specified by _diffrn_refln.index_h.
`IntColumn`	`getLimitKMax()`	The maximum value of the Miller index k for the reflection data specified by _diffrn_refln.index_k.
`IntColumn`	`getLimitKMin()`	The minimum value of the Miller index k for the reflection data specified by _diffrn_refln.index_k.
`IntColumn`	`getLimitLMax()`	The maximum value of the Miller index l for the reflection data specified by _diffrn_refln.index_l.
`IntColumn`	`getLimitLMin()`	The minimum value of the Miller index l for the reflection data specified by _diffrn_refln.index_l.
`IntColumn`	`getNumber()`	The total number of measured intensities, excluding reflections that are classified as systematically absent.
`FloatColumn`	`getPdbxChiSquared()`	Overall Chi-squared statistic for the data set.
`FloatColumn`	`getPdbxDResHigh()`	The highest resolution for the interplanar spacings in the reflection data set.
`FloatColumn`	`getPdbxDResLow()`	The lowest resolution for the interplanar spacings in the reflection data set.
`IntColumn`	`getPdbxNumberObs()`	The number of reflections satisfying the observation criterion as in _diffrn_reflns.pdbx_observed_criterion
`FloatColumn`	`getPdbxObservedCriterion()`	The criterion used to classify a reflection as 'observed'.
`FloatColumn`	`getPdbxPercentPossibleObs()`	The percentage of geometrically possible reflections represented by reflections that satisfy the resolution limits established by _diffrn_reflns.d_resolution_high and _diffrn_reflns.d_resolution_low and the observation limit established by _diffrn_reflns.observed_criterion.
`FloatColumn`	`getPdbxRedundancy()`	The overall redundancy for the data set.
`IntColumn`	`getPdbxRejects()`	The number of rejected reflections in the data set.
`FloatColumn`	`getPdbxRmergeIObs()`	The R factor for merging the reflections that satisfy the resolution limits established by _diffrn_reflns.d_resolution_high and _diffrn_reflns.d_resolution_low and the observation limit established by _diffrn_reflns.observed_criterion.
`FloatColumn`	`getPdbxRsymValue()`	The R factor for averaging the symmetry related reflections to a unique data set.
`StrColumn`	`getReductionProcess()`	A description of the process used to reduce the intensity data into structure-factor magnitudes.
`FloatColumn`	`getThetaMax()`	Maximum theta angle in degrees for the measured diffraction intensities.
`FloatColumn`	`getThetaMin()`	Minimum theta angle in degrees for the measured diffraction intensities.
`FloatColumn`	`getTransfMatrix11()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix12()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix13()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix21()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix22()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix23()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix31()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix32()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
`FloatColumn`	`getTransfMatrix33()`	The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.

Methods inherited from class org.rcsb.cif.model.BaseCategory
getBinaryColumn, getCategoryName, getColumn, getColumnNames, getRowCount, isDefined

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.rcsb.cif.model.Category
columnNames, columns, get

- Constructor Detail
  - DiffrnReflns
```
public DiffrnReflns(String name,
                    Map<String,Column> columns)
```
  - DiffrnReflns
```
public DiffrnReflns(String name,
                    int rowCount,
                    Object[] encodedColumns)
```
  - DiffrnReflns
```
public DiffrnReflns(String name)
```
- Method Detail
  - getAvREquivalents
```
public FloatColumn getAvREquivalents()
```
    The residual [sum|avdel(I)| / sum|av(I)|] for symmetry-equivalent reflections used to calculate the average intensity av(I). The avdel(I) term is the average absolute difference between av(I) and the individual symmetry-equivalent intensities.
    
    Returns:
    
    FloatColumn
  - getAvSigmaIOverNetI
```
public FloatColumn getAvSigmaIOverNetI()
```
    Measure [sum|sigma(I)|/sum|net(I)|] for all measured reflections.
    
    Returns:
    
    FloatColumn
  - getDiffrnId
```
public StrColumn getDiffrnId()
```
    This data item is a pointer to _diffrn.id in the DIFFRN category.
    
    Returns:
    
    StrColumn
  - getLimitHMax
```
public IntColumn getLimitHMax()
```
    The maximum value of the Miller index h for the reflection data specified by _diffrn_refln.index_h.
    
    Returns:
    
    IntColumn
  - getLimitHMin
```
public IntColumn getLimitHMin()
```
    The minimum value of the Miller index h for the reflection data specified by _diffrn_refln.index_h.
    
    Returns:
    
    IntColumn
  - getLimitKMax
```
public IntColumn getLimitKMax()
```
    The maximum value of the Miller index k for the reflection data specified by _diffrn_refln.index_k.
    
    Returns:
    
    IntColumn
  - getLimitKMin
```
public IntColumn getLimitKMin()
```
    The minimum value of the Miller index k for the reflection data specified by _diffrn_refln.index_k.
    
    Returns:
    
    IntColumn
  - getLimitLMax
```
public IntColumn getLimitLMax()
```
    The maximum value of the Miller index l for the reflection data specified by _diffrn_refln.index_l.
    
    Returns:
    
    IntColumn
  - getLimitLMin
```
public IntColumn getLimitLMin()
```
    The minimum value of the Miller index l for the reflection data specified by _diffrn_refln.index_l.
    
    Returns:
    
    IntColumn
  - getNumber
```
public IntColumn getNumber()
```
    The total number of measured intensities, excluding reflections that are classified as systematically absent.
    
    Returns:
    
    IntColumn
  - getReductionProcess
```
public StrColumn getReductionProcess()
```
    A description of the process used to reduce the intensity data into structure-factor magnitudes.
    
    Returns:
    
    StrColumn
  - getThetaMax
```
public FloatColumn getThetaMax()
```
    Maximum theta angle in degrees for the measured diffraction intensities.
    
    Returns:
    
    FloatColumn
  - getThetaMin
```
public FloatColumn getThetaMin()
```
    Minimum theta angle in degrees for the measured diffraction intensities.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix11
```
public FloatColumn getTransfMatrix11()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix12
```
public FloatColumn getTransfMatrix12()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix13
```
public FloatColumn getTransfMatrix13()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix21
```
public FloatColumn getTransfMatrix21()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix22
```
public FloatColumn getTransfMatrix22()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix23
```
public FloatColumn getTransfMatrix23()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix31
```
public FloatColumn getTransfMatrix31()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix32
```
public FloatColumn getTransfMatrix32()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getTransfMatrix33
```
public FloatColumn getTransfMatrix33()
```
    The elements of the 3x3 matrix used to transform Miller indices in the DIFFRN_REFLN category into the Miller indices in the REFLN category.
    
    Returns:
    
    FloatColumn
  - getAvUnetI_netI
```
public FloatColumn getAvUnetI_netI()
```
    Measure [sum u(net I)|/sum|net I|] for all measured reflections.
    
    Returns:
    
    FloatColumn
  - getPdbxDResLow
```
public FloatColumn getPdbxDResLow()
```
    The lowest resolution for the interplanar spacings in the reflection data set. This is the largest d value.
    
    Returns:
    
    FloatColumn
  - getPdbxDResHigh
```
public FloatColumn getPdbxDResHigh()
```
    The highest resolution for the interplanar spacings in the reflection data set. This is the smallest d value.
    
    Returns:
    
    FloatColumn
  - getPdbxPercentPossibleObs
```
public FloatColumn getPdbxPercentPossibleObs()
```
    The percentage of geometrically possible reflections represented by reflections that satisfy the resolution limits established by _diffrn_reflns.d_resolution_high and _diffrn_reflns.d_resolution_low and the observation limit established by _diffrn_reflns.observed_criterion.
    
    Returns:
    
    FloatColumn
  - getPdbxRmergeIObs
```
public FloatColumn getPdbxRmergeIObs()
```
    The R factor for merging the reflections that satisfy the resolution limits established by _diffrn_reflns.d_resolution_high and _diffrn_reflns.d_resolution_low and the observation limit established by _diffrn_reflns.observed_criterion. Rmerge(I) = [sum~i~(sum~j~|I~j~ - |)] / [sum~i~(sum~j~)] I~j~ = the intensity of the jth observation of reflection i = the mean of the amplitudes of all observations of reflection i sum~i~ is taken over all reflections sum~j~ is taken over all observations of each reflection
    
    Returns:
    
    FloatColumn
  - getPdbxRsymValue
```
public FloatColumn getPdbxRsymValue()
```
    The R factor for averaging the symmetry related reflections to a unique data set.
    
    Returns:
    
    FloatColumn
  - getPdbxChiSquared
```
public FloatColumn getPdbxChiSquared()
```
    Overall Chi-squared statistic for the data set.
    
    Returns:
    
    FloatColumn
  - getPdbxRedundancy
```
public FloatColumn getPdbxRedundancy()
```
    The overall redundancy for the data set.
    
    Returns:
    
    FloatColumn
  - getPdbxRejects
```
public IntColumn getPdbxRejects()
```
    The number of rejected reflections in the data set. The reflections may be rejected by setting the observation criterion, _diffrn_reflns.observed_criterion.
    
    Returns:
    
    IntColumn
  - getPdbxObservedCriterion
```
public FloatColumn getPdbxObservedCriterion()
```
    The criterion used to classify a reflection as 'observed'. This criterion is usually expressed in terms of a sigma(I) or sigma(F) threshold.
    
    Returns:
    
    FloatColumn
  - getPdbxNumberObs
```
public IntColumn getPdbxNumberObs()
```
    The number of reflections satisfying the observation criterion as in _diffrn_reflns.pdbx_observed_criterion
    
    Returns:
    
    IntColumn

Class DiffrnReflns

Field Summary

Fields inherited from class org.rcsb.cif.model.BaseCategory

Constructor Summary

Method Summary

Methods inherited from class org.rcsb.cif.model.BaseCategory

Methods inherited from class java.lang.Object

Methods inherited from interface org.rcsb.cif.model.Category

Constructor Detail

DiffrnReflns

DiffrnReflns

DiffrnReflns

Method Detail

getAvREquivalents

getAvSigmaIOverNetI

getDiffrnId

getLimitHMax

getLimitHMin

getLimitKMax

getLimitKMin

getLimitLMax

getLimitLMin

getNumber

getReductionProcess

getThetaMax

getThetaMin

getTransfMatrix11

getTransfMatrix12

getTransfMatrix13

getTransfMatrix21

getTransfMatrix22

getTransfMatrix23

getTransfMatrix31

getTransfMatrix32

getTransfMatrix33

getAvUnetI_netI

getPdbxDResLow

getPdbxDResHigh

getPdbxPercentPossibleObs

getPdbxRmergeIObs

getPdbxRsymValue

getPdbxChiSquared

getPdbxRedundancy

getPdbxRejects

getPdbxObservedCriterion

getPdbxNumberObs