Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
package org.rcsb.cif.schema.mm;
import org.rcsb.cif.model.*;
import org.rcsb.cif.schema.*;
import javax.annotation.Generated;
/**
* 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.
*/
@Generated("org.rcsb.cif.schema.generator.SchemaGenerator")
public class DiffrnReflns extends DelegatingCategory {
public DiffrnReflns(Category delegate) {
super(delegate);
}
@Override
protected Column createDelegate(String columnName, Column column) {
switch (columnName) {
case "av_R_equivalents":
return getAvREquivalents();
case "av_sigmaI_over_netI":
return getAvSigmaIOverNetI();
case "diffrn_id":
return getDiffrnId();
case "limit_h_max":
return getLimitHMax();
case "limit_h_min":
return getLimitHMin();
case "limit_k_max":
return getLimitKMax();
case "limit_k_min":
return getLimitKMin();
case "limit_l_max":
return getLimitLMax();
case "limit_l_min":
return getLimitLMin();
case "number":
return getNumber();
case "reduction_process":
return getReductionProcess();
case "theta_max":
return getThetaMax();
case "theta_min":
return getThetaMin();
case "transf_matrix[1][1]":
return getTransfMatrix11();
case "transf_matrix[1][2]":
return getTransfMatrix12();
case "transf_matrix[1][3]":
return getTransfMatrix13();
case "transf_matrix[2][1]":
return getTransfMatrix21();
case "transf_matrix[2][2]":
return getTransfMatrix22();
case "transf_matrix[2][3]":
return getTransfMatrix23();
case "transf_matrix[3][1]":
return getTransfMatrix31();
case "transf_matrix[3][2]":
return getTransfMatrix32();
case "transf_matrix[3][3]":
return getTransfMatrix33();
case "av_unetI/netI":
return getAvUnetI_netI();
case "pdbx_d_res_low":
return getPdbxDResLow();
case "pdbx_d_res_high":
return getPdbxDResHigh();
case "pdbx_percent_possible_obs":
return getPdbxPercentPossibleObs();
case "pdbx_Rmerge_I_obs":
return getPdbxRmergeIObs();
case "pdbx_Rsym_value":
return getPdbxRsymValue();
case "pdbx_chi_squared":
return getPdbxChiSquared();
case "pdbx_redundancy":
return getPdbxRedundancy();
case "pdbx_rejects":
return getPdbxRejects();
case "pdbx_observed_criterion":
return getPdbxObservedCriterion();
case "pdbx_number_obs":
return getPdbxNumberObs();
default:
return new DelegatingColumn(column);
}
}
/**
* 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.
* @return FloatColumn
*/
public FloatColumn getAvREquivalents() {
return delegate.getColumn("av_R_equivalents", DelegatingFloatColumn::new);
}
/**
* Measure [sum|sigma(I)|/sum|net(I)|] for all measured reflections.
* @return FloatColumn
*/
public FloatColumn getAvSigmaIOverNetI() {
return delegate.getColumn("av_sigmaI_over_netI", DelegatingFloatColumn::new);
}
/**
* This data item is a pointer to _diffrn.id in the DIFFRN
* category.
* @return StrColumn
*/
public StrColumn getDiffrnId() {
return delegate.getColumn("diffrn_id", DelegatingStrColumn::new);
}
/**
* The maximum value of the Miller index h for the
* reflection data specified by _diffrn_refln.index_h.
* @return IntColumn
*/
public IntColumn getLimitHMax() {
return delegate.getColumn("limit_h_max", DelegatingIntColumn::new);
}
/**
* The minimum value of the Miller index h for the
* reflection data specified by _diffrn_refln.index_h.
* @return IntColumn
*/
public IntColumn getLimitHMin() {
return delegate.getColumn("limit_h_min", DelegatingIntColumn::new);
}
/**
* The maximum value of the Miller index k for the
* reflection data specified by _diffrn_refln.index_k.
* @return IntColumn
*/
public IntColumn getLimitKMax() {
return delegate.getColumn("limit_k_max", DelegatingIntColumn::new);
}
/**
* The minimum value of the Miller index k for the
* reflection data specified by _diffrn_refln.index_k.
* @return IntColumn
*/
public IntColumn getLimitKMin() {
return delegate.getColumn("limit_k_min", DelegatingIntColumn::new);
}
/**
* The maximum value of the Miller index l for the
* reflection data specified by _diffrn_refln.index_l.
* @return IntColumn
*/
public IntColumn getLimitLMax() {
return delegate.getColumn("limit_l_max", DelegatingIntColumn::new);
}
/**
* The minimum value of the Miller index l for the
* reflection data specified by _diffrn_refln.index_l.
* @return IntColumn
*/
public IntColumn getLimitLMin() {
return delegate.getColumn("limit_l_min", DelegatingIntColumn::new);
}
/**
* The total number of measured intensities, excluding reflections
* that are classified as systematically absent.
* @return IntColumn
*/
public IntColumn getNumber() {
return delegate.getColumn("number", DelegatingIntColumn::new);
}
/**
* A description of the process used to reduce the intensity data
* into structure-factor magnitudes.
* @return StrColumn
*/
public StrColumn getReductionProcess() {
return delegate.getColumn("reduction_process", DelegatingStrColumn::new);
}
/**
* Maximum theta angle in degrees for the measured diffraction
* intensities.
* @return FloatColumn
*/
public FloatColumn getThetaMax() {
return delegate.getColumn("theta_max", DelegatingFloatColumn::new);
}
/**
* Minimum theta angle in degrees for the measured diffraction
* intensities.
* @return FloatColumn
*/
public FloatColumn getThetaMin() {
return delegate.getColumn("theta_min", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix11() {
return delegate.getColumn("transf_matrix[1][1]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix12() {
return delegate.getColumn("transf_matrix[1][2]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix13() {
return delegate.getColumn("transf_matrix[1][3]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix21() {
return delegate.getColumn("transf_matrix[2][1]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix22() {
return delegate.getColumn("transf_matrix[2][2]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix23() {
return delegate.getColumn("transf_matrix[2][3]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix31() {
return delegate.getColumn("transf_matrix[3][1]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix32() {
return delegate.getColumn("transf_matrix[3][2]", DelegatingFloatColumn::new);
}
/**
* The elements of the 3x3 matrix used to transform Miller
* indices in the DIFFRN_REFLN category into the Miller indices in
* the REFLN category.
* @return FloatColumn
*/
public FloatColumn getTransfMatrix33() {
return delegate.getColumn("transf_matrix[3][3]", DelegatingFloatColumn::new);
}
/**
* Measure [sum u(net I)|/sum|net I|] for all measured reflections.
* @return FloatColumn
*/
public FloatColumn getAvUnetI_netI() {
return delegate.getColumn("av_unetI/netI", DelegatingFloatColumn::new);
}
/**
* The lowest resolution for the interplanar spacings in the
* reflection data set. This is the largest d value.
* @return FloatColumn
*/
public FloatColumn getPdbxDResLow() {
return delegate.getColumn("pdbx_d_res_low", DelegatingFloatColumn::new);
}
/**
* The highest resolution for the interplanar spacings in the
* reflection data set. This is the smallest d value.
* @return FloatColumn
*/
public FloatColumn getPdbxDResHigh() {
return delegate.getColumn("pdbx_d_res_high", DelegatingFloatColumn::new);
}
/**
* 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.
* @return FloatColumn
*/
public FloatColumn getPdbxPercentPossibleObs() {
return delegate.getColumn("pdbx_percent_possible_obs", DelegatingFloatColumn::new);
}
/**
* 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
* @return FloatColumn
*/
public FloatColumn getPdbxRmergeIObs() {
return delegate.getColumn("pdbx_Rmerge_I_obs", DelegatingFloatColumn::new);
}
/**
* The R factor for averaging the symmetry related reflections to a
* unique data set.
* @return FloatColumn
*/
public FloatColumn getPdbxRsymValue() {
return delegate.getColumn("pdbx_Rsym_value", DelegatingFloatColumn::new);
}
/**
* Overall Chi-squared statistic for the data set.
* @return FloatColumn
*/
public FloatColumn getPdbxChiSquared() {
return delegate.getColumn("pdbx_chi_squared", DelegatingFloatColumn::new);
}
/**
* The overall redundancy for the data set.
* @return FloatColumn
*/
public FloatColumn getPdbxRedundancy() {
return delegate.getColumn("pdbx_redundancy", DelegatingFloatColumn::new);
}
/**
* The number of rejected reflections in the data set.
* The reflections may be rejected by setting the
* observation criterion, _diffrn_reflns.observed_criterion.
* @return IntColumn
*/
public IntColumn getPdbxRejects() {
return delegate.getColumn("pdbx_rejects", DelegatingIntColumn::new);
}
/**
* The criterion used to classify a reflection as 'observed'. This
* criterion is usually expressed in terms of a sigma(I) or
* sigma(F) threshold.
* @return FloatColumn
*/
public FloatColumn getPdbxObservedCriterion() {
return delegate.getColumn("pdbx_observed_criterion", DelegatingFloatColumn::new);
}
/**
* The number of reflections satisfying the observation criterion
* as in _diffrn_reflns.pdbx_observed_criterion
* @return IntColumn
*/
public IntColumn getPdbxNumberObs() {
return delegate.getColumn("pdbx_number_obs", DelegatingIntColumn::new);
}
}