HypoTestInverterResult class holds the array of hypothesis test results and compute a confidence interval.
Based on the RatioFinder code available in the RooStatsCms package developed by Gregory Schott and Danilo Piparo Ported and adapted to RooStats by Gregory Schott Some contributions to this class have been written by Matthias Wolf (error estimation)
Definition at line 26 of file HypoTestInverterResult.h.
Public Types | |
enum | InterpolOption_t { kLinear , kSpline } |
Public Types inherited from TObject | |
enum | { kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 , kBitMask = 0x00ffffff } |
enum | { kSingleKey = (1ULL << ( 0 )) , kOverwrite = (1ULL << ( 1 )) , kWriteDelete = (1ULL << ( 2 )) } |
enum | EDeprecatedStatusBits { kObjInCanvas = (1ULL << ( 3 )) } |
enum | EStatusBits { kCanDelete = (1ULL << ( 0 )) , kMustCleanup = (1ULL << ( 3 )) , kIsReferenced = (1ULL << ( 4 )) , kHasUUID = (1ULL << ( 5 )) , kCannotPick = (1ULL << ( 6 )) , kNoContextMenu = (1ULL << ( 8 )) , kInvalidObject = (1ULL << ( 13 )) } |
Public Member Functions | |
HypoTestInverterResult (const char *name, const RooRealVar &scannedVariable, double cl) | |
constructor | |
HypoTestInverterResult (const char *name=nullptr) | |
default constructor | |
HypoTestInverterResult (const HypoTestInverterResult &other, const char *name) | |
copy constructor | |
~HypoTestInverterResult () override | |
destructor | |
bool | Add (const HypoTestInverterResult &otherResult) |
merge with the content of another HypoTestInverterResult object | |
bool | Add (double x, const HypoTestResult &result) |
add the result of a single point (an HypoTestRsult) | |
int | ArraySize () const |
number of entries in the results array | |
double | CLb (int index) const |
return the observed CLb value for the i-th entry | |
double | CLbError (int index) const |
return the observed CLb value for the i-th entry | |
double | CLs (int index) const |
return the observed CLb value for the i-th entry | |
double | CLsError (int index) const |
return the observed CLb value for the i-th entry | |
double | CLsplusb (int index) const |
return the observed CLsplusb value for the i-th entry | |
double | CLsplusbError (int index) const |
return the observed CLsplusb value for the i-th entry | |
int | ExclusionCleanup () |
remove points that appear to have failed. | |
int | FindIndex (double xvalue) const |
find the index corresponding at the poi value xvalue If no points is found return -1 Note that a tolerance is used of 10^-12 to find the closest point | |
double | FindInterpolatedLimit (double target, bool lowSearch=false, double xmin=1, double xmax=0.0) |
interpolate to find a limit value Use a linear or a spline interpolation depending on the interpolation option | |
SamplingDistribution * | GetAltTestStatDist (int index) const |
SamplingDistribution * | GetBackgroundTestStatDist (int index) const |
get the background test statistic distribution | |
double | GetExpectedLowerLimit (double nsig=0, const char *opt="") const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma | |
SamplingDistribution * | GetExpectedPValueDist (int index) const |
return expected distribution of p-values (Cls or Clsplusb) | |
double | GetExpectedUpperLimit (double nsig=0, const char *opt="") const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma | |
InterpolOption_t | GetInterpolationOption () const |
HypoTestResult * | GetLastResult () const |
double | GetLastXValue () const |
double | GetLastYError () const |
double | GetLastYValue () const |
SamplingDistribution * | GetLowerLimitDistribution () const |
get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point) | |
SamplingDistribution * | GetNullTestStatDist (int index) const |
same in terms of alt and null | |
HypoTestResult * | GetResult (int index) const |
return a pointer to the i^th result object | |
SamplingDistribution * | GetSignalAndBackgroundTestStatDist (int index) const |
get the signal and background test statistic distribution | |
SamplingDistribution * | GetUpperLimitDistribution () const |
get expected upper limit distributions implemented using interpolation | |
double | GetXValue (int index) const |
function to return the value of the parameter of interest for the i^th entry in the results | |
double | GetYError (int index) const |
function to return the estimated error on the value of the confidence level for the i^th entry in the results | |
double | GetYValue (int index) const |
function to return the value of the confidence level for the i^th entry in the results | |
TClass * | IsA () const override |
bool | IsOneSided () const |
query if one sided result | |
bool | IsTwoSided () const |
query if two sided result | |
double | LowerLimit () override |
lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2 | |
double | LowerLimitEstimatedError () |
rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rough error on the lower limit. | |
HypoTestInverterResult & | operator= (const HypoTestInverterResult &other) |
operator = | |
void | SetCLsCleanupThreshold (double th) |
set CLs threshold for exclusion cleanup function | |
void | SetConfidenceLevel (double cl) override |
set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) | |
void | SetInterpolationOption (InterpolOption_t opt) |
set the interpolation option, linear (kLinear ) or spline (kSpline) | |
virtual void | SetTestSize (double size) |
set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval) | |
void | Streamer (TBuffer &) override |
Stream an object of class TObject. | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
double | UpperLimit () override |
return the interval upper limit | |
double | UpperLimitEstimatedError () |
Estimate of lower limit error function evaluates only a rough error on the lower limit. | |
void | UseCLs (bool on=true) |
flag to switch between using CLsb (default) or CLs as confidence level | |
Public Member Functions inherited from RooStats::SimpleInterval | |
SimpleInterval (const char *name, const RooRealVar &var, double lower, double upper, double cl) | |
constructor from name, the Parameter of interest and lower/upper bound values | |
SimpleInterval (const char *name=nullptr) | |
default constructor | |
SimpleInterval (const SimpleInterval &other, const char *name) | |
default constructor | |
bool | CheckParameters (const RooArgSet &) const override |
check if parameters are correct (i.e. they are the POI of this interval) | |
double | ConfidenceLevel () const override |
return the confidence interval | |
RooArgSet * | GetParameters () const override |
return a cloned list with the parameter of interest | |
TClass * | IsA () const override |
bool | IsInInterval (const RooArgSet &) const override |
check if parameter is in the interval | |
SimpleInterval & | operator= (const SimpleInterval &other) |
default constructor | |
void | SetConfidenceLevel (double) override |
set the confidence level for the interval. | |
void | Streamer (TBuffer &) override |
Stream an object of class TObject. | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
Public Member Functions inherited from RooStats::ConfInterval | |
ConfInterval (const char *name=nullptr) | |
constructor given name and title | |
ConfInterval & | operator= (const ConfInterval &other) |
operator= | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
Public Member Functions inherited from TNamed | |
TNamed () | |
TNamed (const char *name, const char *title) | |
TNamed (const TNamed &named) | |
TNamed copy ctor. | |
TNamed (const TString &name, const TString &title) | |
virtual | ~TNamed () |
TNamed destructor. | |
void | Clear (Option_t *option="") override |
Set name and title to empty strings (""). | |
TObject * | Clone (const char *newname="") const override |
Make a clone of an object using the Streamer facility. | |
Int_t | Compare (const TObject *obj) const override |
Compare two TNamed objects. | |
void | Copy (TObject &named) const override |
Copy this to obj. | |
virtual void | FillBuffer (char *&buffer) |
Encode TNamed into output buffer. | |
const char * | GetName () const override |
Returns name of object. | |
const char * | GetTitle () const override |
Returns title of object. | |
ULong_t | Hash () const override |
Return hash value for this object. | |
TClass * | IsA () const override |
Bool_t | IsSortable () const override |
void | ls (Option_t *option="") const override |
List TNamed name and title. | |
TNamed & | operator= (const TNamed &rhs) |
TNamed assignment operator. | |
void | Print (Option_t *option="") const override |
Print TNamed name and title. | |
virtual void | SetName (const char *name) |
Set the name of the TNamed. | |
virtual void | SetNameTitle (const char *name, const char *title) |
Set all the TNamed parameters (name and title). | |
virtual void | SetTitle (const char *title="") |
Set the title of the TNamed. | |
virtual Int_t | Sizeof () const |
Return size of the TNamed part of the TObject. | |
void | Streamer (TBuffer &) override |
Stream an object of class TObject. | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
Public Member Functions inherited from TObject | |
TObject () | |
TObject constructor. | |
TObject (const TObject &object) | |
TObject copy ctor. | |
virtual | ~TObject () |
TObject destructor. | |
void | AbstractMethod (const char *method) const |
Use this method to implement an "abstract" method that you don't want to leave purely abstract. | |
virtual void | AppendPad (Option_t *option="") |
Append graphics object to current pad. | |
virtual void | Browse (TBrowser *b) |
Browse object. May be overridden for another default action. | |
ULong_t | CheckedHash () |
Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object. | |
virtual const char * | ClassName () const |
Returns name of class to which the object belongs. | |
virtual void | Delete (Option_t *option="") |
Delete this object. | |
virtual Int_t | DistancetoPrimitive (Int_t px, Int_t py) |
Computes distance from point (px,py) to the object. | |
virtual void | Draw (Option_t *option="") |
Default Draw method for all objects. | |
virtual void | DrawClass () const |
Draw class inheritance tree of the class to which this object belongs. | |
virtual TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1) . | |
virtual void | Dump () const |
Dump contents of object on stdout. | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. | |
virtual void | Execute (const char *method, const char *params, Int_t *error=nullptr) |
Execute method on this object with the given parameter string, e.g. | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=nullptr) |
Execute method on this object with parameters stored in the TObjArray. | |
virtual void | ExecuteEvent (Int_t event, Int_t px, Int_t py) |
Execute action corresponding to an event at (px,py). | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. | |
virtual TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. | |
virtual const char * | GetIconName () const |
Returns mime type name of object. | |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). | |
virtual Option_t * | GetOption () const |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. | |
Bool_t | HasInconsistentHash () const |
Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e. | |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. | |
void | InvertBit (UInt_t f) |
Bool_t | IsDestructed () const |
IsDestructed. | |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). | |
R__ALWAYS_INLINE Bool_t | IsOnHeap () const |
R__ALWAYS_INLINE Bool_t | IsZombie () const |
void | MayNotUse (const char *method) const |
Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). | |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification (the base implementation is no-op). | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. | |
void | operator delete (void *ptr) |
Operator delete. | |
void | operator delete (void *ptr, void *vp) |
Only called by placement new when throwing an exception. | |
void | operator delete[] (void *ptr) |
Operator delete []. | |
void | operator delete[] (void *ptr, void *vp) |
Only called by placement new[] when throwing an exception. | |
void * | operator new (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz) |
void * | operator new[] (size_t sz, void *vp) |
TObject & | operator= (const TObject &rhs) |
TObject assignment operator. | |
virtual void | Paint (Option_t *option="") |
This method must be overridden if a class wants to paint itself. | |
virtual void | Pop () |
Pop on object drawn in a pad to the top of the display list. | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. | |
void | ResetBit (UInt_t f) |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". | |
void | SetBit (UInt_t f) |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. | |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. | |
R__ALWAYS_INLINE Bool_t | TestBit (UInt_t f) const |
Int_t | TestBits (UInt_t f) const |
virtual void | UseCurrentStyle () |
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. | |
virtual Int_t | Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. | |
virtual Int_t | Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. | |
Static Public Member Functions | |
static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
Static Public Member Functions inherited from RooStats::SimpleInterval | |
static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
Static Public Member Functions inherited from RooStats::ConfInterval | |
static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
Static Public Member Functions inherited from TNamed | |
static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
Static Public Member Functions inherited from TObject | |
static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
static Longptr_t | GetDtorOnly () |
Return destructor only flag. | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. | |
Protected Attributes | |
double | fCLsCleanupThreshold |
TList | fExpPValues |
list of expected sampling distribution for each point | |
bool | fFittedLowerLimit |
bool | fFittedUpperLimit |
bool | fInterpolateLowerLimit |
bool | fInterpolateUpperLimit |
InterpolOption_t | fInterpolOption |
interpolation option (linear or spline) | |
bool | fIsTwoSided |
two sided scan (look for lower/upper limit) | |
double | fLowerLimitError |
double | fUpperLimitError |
bool | fUseCLs |
std::vector< double > | fXValues |
TList | fYObjects |
list of HypoTestResult for each point | |
Protected Attributes inherited from TNamed | |
TString | fName |
TString | fTitle |
Static Protected Attributes | |
static double | fgAsymptoticMaxSigma = 5 |
max sigma value used to scan asymptotic expected p values | |
static int | fgAsymptoticNumPoints = 11 |
number of points used to build expected p-values | |
Private Member Functions | |
double | CalculateEstimatedError (double target, bool lower=true, double xmin=1, double xmax=0.0) |
Return an error estimate on the upper(lower) limit. | |
int | FindClosestPointIndex (double target, int mode=0, double xtarget=0) |
double | GetExpectedLimit (double nsig, bool lower, const char *opt="") const |
get expected limit (lower/upper) depending on the flag for asymptotic is a special case (the distribution is generated an step in sigma values) distinguish asymptotic looking at the hypotest results if option = "P" get expected limit using directly quantiles of p value distribution else (default) find expected limit by obtaining first a full limit distributions The last one is in general more correct | |
double | GetGraphX (const TGraph &g, double y0, bool lowSearch, double &xmin, double &xmax) const |
return the X value of the given graph for the target value y0 the graph is evaluated using linear interpolation by default. | |
double | GetGraphX (const TGraph &g, double y0, bool lowSearch=true) const |
SamplingDistribution * | GetLimitDistribution (bool lower) const |
get the limit distribution (lower/upper depending on the flag) by interpolating the expected p values for each point | |
Friends | |
class | HypoTestInverter |
class | HypoTestInverterPlot |
Additional Inherited Members | |
Public Attributes inherited from RooStats::SimpleInterval | |
double | fConfidenceLevel |
confidence level | |
double | fLowerLimit |
lower interval limit | |
RooArgSet | fParameters |
set containing the parameter of interest | |
double | fUpperLimit |
upper interval limit | |
Protected Types inherited from TObject | |
enum | { kOnlyPrepStep = (1ULL << ( 3 )) } |
Protected Member Functions inherited from TObject | |
virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). | |
void | MakeZombie () |
#include <RooStats/HypoTestInverterResult.h>
Enumerator | |
---|---|
kLinear | |
kSpline |
Definition at line 162 of file HypoTestInverterResult.h.
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explicit |
default constructor
Definition at line 56 of file HypoTestInverterResult.cxx.
HypoTestInverterResult::HypoTestInverterResult | ( | const char * | name, |
const RooRealVar & | scannedVariable, | ||
double | cl | ||
) |
constructor
Definition at line 150 of file HypoTestInverterResult.cxx.
HypoTestInverterResult::HypoTestInverterResult | ( | const HypoTestInverterResult & | other, |
const char * | name | ||
) |
copy constructor
Definition at line 79 of file HypoTestInverterResult.cxx.
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override |
destructor
Definition at line 178 of file HypoTestInverterResult.cxx.
bool HypoTestInverterResult::Add | ( | const HypoTestInverterResult & | otherResult | ) |
merge with the content of another HypoTestInverterResult object
Merge this HypoTestInverterResult with another HypoTestInverterResult passed as argument The merge is done by combining the HypoTestResult when the same point value exist in both results.
If results exist at different points these are added in the new result NOTE: Merging of the expected p-values obtained with pseudo-data. When expected p-values exist in the result (i.e. when rebuild option is used when getting the expected limit distribution in the HYpoTestInverter) then the expected p-values are also merged. This is equivalent at merging the pseudo-data. However there can be an inconsistency if the expected p-values have been obtained with different toys. In this case the merge is done but a warning message is printed.
Definition at line 318 of file HypoTestInverterResult.cxx.
bool HypoTestInverterResult::Add | ( | double | x, |
const HypoTestResult & | result | ||
) |
add the result of a single point (an HypoTestRsult)
Add a single point result (an HypoTestResult)
Definition at line 407 of file HypoTestInverterResult.cxx.
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inline |
number of entries in the results array
Definition at line 94 of file HypoTestInverterResult.h.
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private |
Return an error estimate on the upper(lower) limit.
This is the error on either CLs or CLsplusb divided by an estimate of the slope at this point.
Definition at line 972 of file HypoTestInverterResult.cxx.
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static |
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static |
|
inlinestaticconstexpr |
Definition at line 213 of file HypoTestInverterResult.h.
return the observed CLb value for the i-th entry
function to return the observed CLb value for the i-th entry
Definition at line 476 of file HypoTestInverterResult.cxx.
return the observed CLb value for the i-th entry
function to return the error on the observed CLb value for the i-th entry
Definition at line 512 of file HypoTestInverterResult.cxx.
return the observed CLb value for the i-th entry
function to return the observed CLs value for the i-th entry
Definition at line 500 of file HypoTestInverterResult.cxx.
return the observed CLb value for the i-th entry
function to return the error on the observed CLs value for the i-th entry
Definition at line 536 of file HypoTestInverterResult.cxx.
return the observed CLsplusb value for the i-th entry
function to return the observed CLs+b value for the i-th entry
Definition at line 488 of file HypoTestInverterResult.cxx.
return the observed CLsplusb value for the i-th entry
function to return the error on the observed CLs+b value for the i-th entry
Definition at line 524 of file HypoTestInverterResult.cxx.
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inlinestatic |
Definition at line 213 of file HypoTestInverterResult.h.
int HypoTestInverterResult::ExclusionCleanup | ( | ) |
remove points that appear to have failed.
Remove problematic points from this result.
This function can be used to clean up a result that has failed fits, spiking CLs or similar problems. It removes
Definition at line 197 of file HypoTestInverterResult.cxx.
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private |
Definition at line 883 of file HypoTestInverterResult.cxx.
find the index corresponding at the poi value xvalue If no points is found return -1 Note that a tolerance is used of 10^-12 to find the closest point
Definition at line 563 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::FindInterpolatedLimit | ( | double | target, |
bool | lowSearch = false , |
||
double | xmin = 1 , |
||
double | xmax = 0.0 |
||
) |
interpolate to find a limit value Use a linear or a spline interpolation depending on the interpolation option
Definition at line 710 of file HypoTestInverterResult.cxx.
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inline |
Definition at line 140 of file HypoTestInverterResult.h.
SamplingDistribution * HypoTestInverterResult::GetBackgroundTestStatDist | ( | int | index | ) | const |
get the background test statistic distribution
Definition at line 1108 of file HypoTestInverterResult.cxx.
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private |
get expected limit (lower/upper) depending on the flag for asymptotic is a special case (the distribution is generated an step in sigma values) distinguish asymptotic looking at the hypotest results if option = "P" get expected limit using directly quantiles of p value distribution else (default) find expected limit by obtaining first a full limit distributions The last one is in general more correct
Definition at line 1313 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::GetExpectedLowerLimit | ( | double | nsig = 0 , |
const char * | opt = "" |
||
) | const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma
Get the expected lower limit nsig is used to specify which expected value of the UpperLimitDistribution For example.
Definition at line 1282 of file HypoTestInverterResult.cxx.
SamplingDistribution * HypoTestInverterResult::GetExpectedPValueDist | ( | int | index | ) | const |
return expected distribution of p-values (Cls or Clsplusb)
get the expected p-value distribution at the scanned point index
Definition at line 1127 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::GetExpectedUpperLimit | ( | double | nsig = 0 , |
const char * | opt = "" |
||
) | const |
get Limit value corresponding at the desired nsigma level (0) is median -1 sigma is 1 sigma
Get the expected upper limit nsig is used to specify which expected value of the UpperLimitDistribution For example.
Definition at line 1300 of file HypoTestInverterResult.cxx.
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private |
return the X value of the given graph for the target value y0 the graph is evaluated using linear interpolation by default.
if option = "S" a TSpline3 is used
Definition at line 580 of file HypoTestInverterResult.cxx.
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inlineprivate |
Definition at line 181 of file HypoTestInverterResult.h.
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inline |
Definition at line 167 of file HypoTestInverterResult.h.
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inline |
Definition at line 91 of file HypoTestInverterResult.h.
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inline |
Definition at line 87 of file HypoTestInverterResult.h.
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inline |
Definition at line 89 of file HypoTestInverterResult.h.
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inline |
Definition at line 85 of file HypoTestInverterResult.h.
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private |
get the limit distribution (lower/upper depending on the flag) by interpolating the expected p values for each point
Definition at line 1183 of file HypoTestInverterResult.cxx.
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get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point)
Definition at line 147 of file HypoTestInverterResult.h.
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same in terms of alt and null
Definition at line 137 of file HypoTestInverterResult.h.
HypoTestResult * HypoTestInverterResult::GetResult | ( | int | index | ) | const |
return a pointer to the i^th result object
get the HypoTestResult object at the given index point
Definition at line 548 of file HypoTestInverterResult.cxx.
SamplingDistribution * HypoTestInverterResult::GetSignalAndBackgroundTestStatDist | ( | int | index | ) | const |
get the signal and background test statistic distribution
Definition at line 1118 of file HypoTestInverterResult.cxx.
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get expected upper limit distributions implemented using interpolation
Definition at line 151 of file HypoTestInverterResult.h.
function to return the value of the parameter of interest for the i^th entry in the results
Definition at line 429 of file HypoTestInverterResult.cxx.
function to return the estimated error on the value of the confidence level for the i^th entry in the results
Definition at line 459 of file HypoTestInverterResult.cxx.
function to return the value of the confidence level for the i^th entry in the results
Definition at line 442 of file HypoTestInverterResult.cxx.
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Reimplemented from RooStats::ConfInterval.
Definition at line 213 of file HypoTestInverterResult.h.
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query if one sided result
Definition at line 111 of file HypoTestInverterResult.h.
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query if two sided result
Definition at line 113 of file HypoTestInverterResult.h.
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lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2
Reimplemented from RooStats::SimpleInterval.
Definition at line 938 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::LowerLimitEstimatedError | ( | ) |
rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rough error on the lower limit.
need to have compute first lower limit
Be careful when using this estimation
Definition at line 1087 of file HypoTestInverterResult.cxx.
HypoTestInverterResult & HypoTestInverterResult::operator= | ( | const HypoTestInverterResult & | other | ) |
operator =
Definition at line 109 of file HypoTestInverterResult.cxx.
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set CLs threshold for exclusion cleanup function
Definition at line 105 of file HypoTestInverterResult.h.
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set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)
Implements RooStats::ConfInterval.
Definition at line 102 of file HypoTestInverterResult.h.
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set the interpolation option, linear (kLinear ) or spline (kSpline)
Definition at line 165 of file HypoTestInverterResult.h.
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set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval)
Definition at line 99 of file HypoTestInverterResult.h.
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Stream an object of class TObject.
Reimplemented from RooStats::ConfInterval.
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Definition at line 213 of file HypoTestInverterResult.h.
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return the interval upper limit
Reimplemented from RooStats::SimpleInterval.
Definition at line 954 of file HypoTestInverterResult.cxx.
double HypoTestInverterResult::UpperLimitEstimatedError | ( | ) |
Estimate of lower limit error function evaluates only a rough error on the lower limit.
Be careful when using this estimation
Definition at line 1097 of file HypoTestInverterResult.cxx.
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flag to switch between using CLsb (default) or CLs as confidence level
Definition at line 108 of file HypoTestInverterResult.h.
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Definition at line 210 of file HypoTestInverterResult.h.
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Definition at line 211 of file HypoTestInverterResult.h.
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Definition at line 200 of file HypoTestInverterResult.h.
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list of expected sampling distribution for each point
Definition at line 208 of file HypoTestInverterResult.h.
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Definition at line 193 of file HypoTestInverterResult.h.
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Definition at line 194 of file HypoTestInverterResult.h.
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max sigma value used to scan asymptotic expected p values
Definition at line 202 of file HypoTestInverterResult.h.
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number of points used to build expected p-values
Definition at line 203 of file HypoTestInverterResult.h.
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Definition at line 191 of file HypoTestInverterResult.h.
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Definition at line 192 of file HypoTestInverterResult.h.
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interpolation option (linear or spline)
Definition at line 195 of file HypoTestInverterResult.h.
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two sided scan (look for lower/upper limit)
Definition at line 190 of file HypoTestInverterResult.h.
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Definition at line 197 of file HypoTestInverterResult.h.
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Definition at line 198 of file HypoTestInverterResult.h.
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Definition at line 189 of file HypoTestInverterResult.h.
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Definition at line 205 of file HypoTestInverterResult.h.
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list of HypoTestResult for each point
Definition at line 207 of file HypoTestInverterResult.h.