- EP_CHI2PROB (E)

The χ^{2}probability (based on the null hypothesis) that the time series of the source, as detected by any of the cameras, can be explained by a constant flux. The minimum value of the available camera probabilities (PN_CHI2PROB, M1_CHI2PROB, M2_CHI2PROB) is given.

PN_CHI2PROB (E) SAS task`ekstest`

The χ^{2}probability (based on the null hypothesis) that the time series of the source, as detected by the PN camera can be explained by a constant flux. The Pearson's approximation to χ^{2}for Poissonian data was used, in which the model is used as the estimator of its own variance (see the documentation of`ekstest`for a more detailed description). If more than one exposure (that is, time series) is available for this source the smallest value of probability was used. See 2XMM UG Sec. 3.1.4 for more details but note also changes described in 3XMM UG 3.6.

M1_CHI2PROB (E) SAS task`ekstest`

The χ^{2}probability (based on the null hypothesis) that the time series of the source, as detected by the M1 camera can be explained by a constant flux. The Pearson's approximation to χ^{2}for Poissonian data was used, in which the model is used as the estimator of its own variance (see the documentation of`ekstest`for a more detailed description). If more than one exposure (that is, time series) is available for this source the smallest value of probability was used. See 2XMM UG Sec. 3.1.4 for more details but note also changes described in 3XMM UG 3.6.

M2_CHI2PROB (E) SAS task`ekstest`

The χ^{2}probability (based on the null hypothesis) that the time series of the source, as detected by the M2 camera can be explained by a constant flux. The Pearson's approximation to χ^{2}for Poissonian data was used, in which the model is used as the estimator of its own variance (see the documentation of`ekstest`for a more detailed description). If more than one exposure (that is, time series) is available for this source the smallest value of probability was used. See 2XMM UG Sec. 3.1.4 for more details but note also changes described in 3XMM UG 3.6.

PN_FVAR (E) SAS task`ekstest`

The fractional RMS variability amplitude (deriving from the normalised excess variance) measured in the PN timeseries of the detection. Where multiple PN exposures exist, it is for the one giving the largest probability of variability (PN_CHI2PROB). This quantity provides a measure of the amplitude of variability in the timeseries, above purely statistical fluctuations. See Sec. 3.9 for more details.

PN_FVARERR (E) SAS task`ekstest`

The error on the fractional RMS variability amplitude for the PN timeseries of the detection (PN_FVAR). See Sec. 3.9 for more details.

M1_FVAR (E) SAS task`ekstest`

The fractional RMS variability amplitude (deriving from the normalised excess variance) measured in the MOS1 timeseries of the detection. Where multiple MOS1 exposures exist, it is for the one giving the largest probability of variability (M1_CHI2PROB). This quantity provides a measure of the amplitude of variability in the timeseries, above purely statistical fluctuations. See Sec. 3.9 for more details.

M1_FVARERR (E) SAS task`ekstest`

The error on the fractional RMS variability amplitude for the MOS1 timeseries of the detection (M1_FVAR). See Sec. 3.9 for more details.

M2_FVAR (E) SAS task`ekstest`

The fractional RMS variability amplitude (deriving from the normalised excess variance) measured in the MOS2 timeseries of the detection. Where multiple MOS2 exposures exist, it is for the one giving the largest probability of variability (M2_CHI2PROB). This quantity provides a measure of the amplitude of variability in the timeseries, above purely statistical fluctuations. See Sec. 3.9 for more details.

M2_FVARERR (E) SAS task`ekstest`

The error on the fractional RMS variability amplitude for the MOS2 timeseries of the detection (M2_FVAR). See Sec. 3.9 for more details.

VAR_FLAG (L)

The flag is set to**T**rue if this source was detected as variable (χ^{2}probability < 1E-5, see PN_CHI2PROB, M1_CHI2PROB, M2_CHI2PROB) in at least one exposure (see 2XMM UG Sec. 3.2.8). Note that where a timeseries is not available or insufficient points are left in the timeseries after applying background flare GTIs, the value is set to NULL or**U**ndefined

VAR_EXP_ID (4A)

The exposure ID ('S' or 'U' followed by a three-digit number) of the exposure with the smallest χ^{2}probability is given here.

VAR_INST_ID (2A)

The instrument ID (PN, M1, M2) of the exposure given in VAR_EXP_ID is listed here.