This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 0.400\pm0.056~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 0.597\pm0.057~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 0.793\pm0.057~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 0.992\pm0.058~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 1.189\pm0.058~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 1.435\pm0.086~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

This table contains thinned out samples of the Markov chains used in the parameter estimation of the SDME measurements for $-(t-t_\text{0}) = 1.761\pm0.111~\text{GeV}^2/c^2$, reported in the main article. One in about 250 steps in the chain, which results in 200 different sets of SDMEs, is provided. These values should be used instead of bootstrapping of the results, in order to estimate uncertainties of physics models fitted to this data. To assess how the uncertainties propagate to the model uncertainties, one should evaluate the model under scrutiny for each of the 200 different sets of SDMEs. Plotting all resulting lines in a single plot will create bands which reflect the influence of the uncertainties in the data on the model. This method has the great advantage that all correlations are accurately taken into account.

Spin density matrix elements from RHO0 photoproduction proton-dissociate events.

Spin density matrix elements from RHO0 photoproduction elastic events.

Differential cross section for proton-dissociative PHI photoproduction.

Differential cross section for elastic PHI photoproduction.

The ratio of the elastic to proton-dissociative cross sections for PHI photoproduction.

Differential cross section for proton-dissociative J/PSI photoproduction.

Differential cross section for elastic J/PSI photoproduction.

The ratio of the elastic to proton-dissociative cross sections for J/PSI photoproduction.

The differential cross section for proton-dissociative RHO0 photoproductionfrom a subsample of the data with a lower cut on the mass of the dissociative-proton.

The differential cross section for proton-dissociative PHI photoproduction from a subsample of the data with a lower cut on the mass of the dissociative-proton.

The differential cross section for proton-dissociative J/PSI photoproduction from a subsample of the data with a lower cut on the mass of the dissociative-proton.

Ratio of cross section for PHI to RHO0 proton-dissociative photoproduction.

Ratio of cross section for PHI to RHO0 elastic photoproduction.

Ratio of cross section for J/PSI to RHO0 proton-dissociative photoproduction.

Ratio of cross section for J/PSI to RHO0 elastic photoproduction.

The spin-density matrix elements obtained from the low Q**2 BPC data set in two Q**2 intervals.

The spin-density matrix elements obtained from the low Q**2 BPC data set in three T intervals.

The spin-density matrix elements obtained from the low Q**2 BPC data set in two region of the 2PI mass from the RHO0 decay.

Correlation matrix for the 15 combinations of spin-density matrix elements obtained from the BPC data.

Correlation matrix for the 15 combinations of spin-density matrix elements obtained from the DIS data.

Exclusive RHO0 electro- and photo- production cross sections as a function of W from the DIS data set.

Exclusive RHO0 electro- and photo- production cross sections as a function of W from the DIS data set.

Exclusive RHO0 electro- and photo- production cross sections as a function of W from the DIS data set.

Exclusive J/PSI electro-production cross sections as a function of W from the DIS data set.

Exclusive J/PSI photo-production cross sections as a function of W from theDIS data set.

The powers of W found from the fit of the W dependence of the exclusive RHO0 photoproduction cross section to the W distributiuons in various Q**2 regions.

The ratio of the J/PSI and RHO0 cross sections at two Q**2 values.

Differential cross section for RHO0 production from the BPC data.

Differential cross section for RHO0 production from the DIS data.

Differential cross section for J/PSI production from the DIS data.

The slope of the RHO0 dsig/dt distribution from the BPC data. The first point is the fit over the full data sample.. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The slope of the RHO0 dsig/dt distribution from the BPC data. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The slope of the RHO0 dsig/dt distribution from the BPC data. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The slope of the RHO0 dsig/dt distribution from the DIS data. The first point is the fit over the full data sample.. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The slope of the RHO0 dsig/dt distribution from the DIS data. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The slope of the RHO0 dsig/dt distribution from the DIS data. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The slope of the RHO0 dsig/dt distribution from the DIS data. The second systematic (DSYS) error is the uncertainty arising from the subtraction of the proton dissiciation background.

The spin-density martix elements deletermined for various values of W and Q**2 for the RHO0 BPC sample.

The spin-density martix elements deletermined for various values of W and Q**2 for the RHO0 BPC sample.

The spin-density martix elements deletermined for various values of W and Q**2 for the RHO0 DIS sample.

The spin-density martix elements deletermined for various values of W and Q**2 for the RHO0 DIS sample.

Ratio of the cross sections for longitudinal and transverse photons from the DIS data as a function of Q**2.

Ratio of the cross sections for longitudinal and transverse photons from the BPC data as a function of Q**2.

Ratio of the cross sections for longitudinal and transverse photons from the BPC data as a function of W.

Ratio of the cross sections for longitudinal and transverse photons from the DIS data as a function of W.

The measured forward longitudinal cross section as a function of x for the DIS RHO0 data sample. NOTE FROM THE AUTHORS about figure 19_21:. Please note that the positive and negative error bars in the publication Eur.Phys.J. C6 (1999) 603 were inadvertently exchanged. In this table we give thetotal systematic uncertainty on each point as the quadratic sum of the correlat ed systematic error, shown as shaded bands in the publication, and the systematic error bars.

The measured forward longitudinal cross section as a function of x for the DIS RHO0 data sample. See note above from the authors.

The measured forward longitudinal cross section as a function of x for the DIS RHO0 data sample. See note above from the authors.

The measured forward longitudinal cross section as a function of x for the DIS RHO0 data sample. See note above from the authors.

Differential T distribution. Statistical errors only.

DSIG/DT distribution fit with the expression A*EXP(-B*ABS(T) + C*T**2).

SLOPE (B) of the DSIG/DT distribution keeping c fixed at 2.8 (see previous table).

DSIG/DT distribution fit with the expression A* EXP(-B*ABS(T) + C *T**2).

SLOPE (B) as a function of M(P=1_2) keeping C constant at 2.7 (see previoustable).

Acceptance corrected distribution of THETA, the polar angle of the decay ofthe PI+ in the RHO0 helicity frame where the RHO0 is at rest. THETA is defined as the angle between the direction opposite to that of the outgoing PROTON and the direction of the PI+. Statistical errors only.

Acceptance corrected PHI angular distribution, where PHI is angle between the decay plane and the RHO0 production plane. Stastistical errors only.

Result of two dimensional least-square fit to the accertance corrected angular distributions to give spin density matrices.

Spin density matrices as function of the two pion mass.

Spin density matrices as function of the two pion mass.

Spin density matrices as function of the two pion mass.

Spin density matrices as a function of M(P=1_2).

Spin density matrices as a function of M(P=1_2).

Spin density matrices as a function of M(P=1_2).

DSIG/DT distribution for the proton dissociative events tagged with the PRT1. Statistical errors only.

DSIG/DT distribution for the proton dissociative events tagged with the LPS(X<0.98). Statistical errors only.