Commit 000585e98407602de6136f2dfbfac96538b0a8d0

Authored by Luigi Tibaldo
1 parent 3223bbb1

improved description of SUBDIVSQRT and SIGNIFICANCE algortithms for csresmap and csrespec

doc/source/users/reference_manual/csresmap.rst
@@ -21,8 +21,11 @@ energies. Four options exist then for residual computation: @@ -21,8 +21,11 @@ energies. Four options exist then for residual computation:
21 - the subtraction of the model from the counts (SUB) 21 - the subtraction of the model from the counts (SUB)
22 - the subtraction and division by the model (SUBDIV) 22 - the subtraction and division by the model (SUBDIV)
23 - the subtraction and division by the square root of the model (SUBDIVSQRT) 23 - the subtraction and division by the square root of the model (SUBDIVSQRT)
24 -- the computation of the significance using Li & Ma (SIGNIFICANCE) 24 +- the computation of the significance based on the likelihood-ratio
  25 + test for Poisson statistics (SIGNIFICANCE)
25 26
  27 +The SUBDIVSQRT and SIGNIFICANCE algorithms approximate the residual
  28 +significance and may become inaccurate in the low-counting regime.
26 The residual map is written into a FITS file. 29 The residual map is written into a FITS file.
27 30
28 31
@@ -108,7 +111,9 @@ General parameters @@ -108,7 +111,9 @@ General parameters
108 111
109 ``SUBDIVSQRT``: :math:`(DATA - MODEL) / \sqrt{MODEL}` 112 ``SUBDIVSQRT``: :math:`(DATA - MODEL) / \sqrt{MODEL}`
110 113
111 - ``SIGNIFICANCE``: :math:`{\rm sign}(DATA-MODEL) \times \sqrt{ 2 \times ( DATA \times \ln \left(\frac{DATA}{MODEL} \right) + MODEL - DATA ) }` 114 + ``SIGNIFICANCE``: :math:`{\rm sign}(DATA-MODEL) \times \sqrt{ 2
  115 + \times ( DATA \times \ln \left(\frac{DATA}{MODEL} \right) +
  116 + MODEL - DATA ) }`
112 117
113 118
114 Standard parameters 119 Standard parameters
doc/source/users/reference_manual/csresspec.rst
@@ -35,7 +35,11 @@ Four options exist then for residual computation: @@ -35,7 +35,11 @@ Four options exist then for residual computation:
35 - the subtraction of the model from the counts (SUB) 35 - the subtraction of the model from the counts (SUB)
36 - the subtraction and division by the model (SUBDIV) 36 - the subtraction and division by the model (SUBDIV)
37 - the subtraction and division by the square root of the model (SUBDIVSQRT) 37 - the subtraction and division by the square root of the model (SUBDIVSQRT)
38 -- the computation of the significance using Li & Ma (SIGNIFICANCE) 38 +- the computation of the significance based on the likelihood-ratio
  39 + test for Poisson statistics (SIGNIFICANCE)
  40 +
  41 +The SUBDIVSQRT and SIGNIFICANCE algorithms approximate the residual
  42 +significance and may become inaccurate in the low-counting regime.
39 43
40 The counts, model, and residual spectra are written into a FITS file. 44 The counts, model, and residual spectra are written into a FITS file.
41 45
@@ -162,7 +166,9 @@ General parameters @@ -162,7 +166,9 @@ General parameters
162 166
163 ``SUBDIVSQRT``: :math:`(DATA - MODEL) / \sqrt{MODEL}` 167 ``SUBDIVSQRT``: :math:`(DATA - MODEL) / \sqrt{MODEL}`
164 168
165 - ``SIGNIFICANCE``: :math:`{\rm sign}(DATA-MODEL) \times \sqrt{ 2 \times ( DATA \times \ln \left(\frac{DATA}{MODEL} \right) + MODEL - DATA ) }` 169 + ``SIGNIFICANCE``: :math:`{\rm sign}(DATA-MODEL) \times \sqrt{ 2
  170 + \times ( DATA \times \ln \left(\frac{DATA}{MODEL} \right) +
  171 + MODEL - DATA ) }`
166 172
167 173
168 Standard parameters 174 Standard parameters