Comments (4)
Hi @registerrier ,
as I mentioned to you this approach is working quite well for SWGO after I adapted it to our code base.
We will now add the experimental implementation to our data processing framework (unfortunately still not public, but hopefully soon).
Do you think we should discuss how to incorporate it here?
I guess the minimum would be:
- the function to compute the cash statistics (which is the one used by the map datasets) from the asimov dataset
- the class for the TS defined by Cowan
- a new MapSensitivityEstimator which I guess can be the one we are using but further improved (what is currently missing e.g. is the possibility to define a minimum number of excess gamma rays and add the significance criteria to show where this is dominated by excess or background systematics; the former is more negligible for instruments like SWGO than CTA, but I think it should be added also)
What do you think?
from gammapy.
I guess the minimum would be:
- the function to compute the cash statistics (which is the one used by the map datasets) from the asimov dataset
- the class for the TS defined by Cowan
- a new MapSensitivityEstimator which I guess can be the one we are using but further improved (what is currently missing e.g. is the possibility to define a minimum number of excess gamma rays and add the significance criteria to show where this is dominated by excess or background systematics; the former is more negligible for instruments like SWGO than CTA, but I think it should be added also)
@HealthyPear That sounds like a good plan, if you already have a working solution you are welcome to open PRs for each of these points.
from gammapy.
Sorry coming back to this after a while....
I can open a draft PR with the 3 ingredients described above:
- I plan to add the
MapSensitivityEstimator
undergammapy.estimators.maps
- the rest under a new module
gammapy.stats.asimov
would that be OK as a start or you had in mind a different structure?
from gammapy.
As reminder, see also the project https://github.com/gammapy/gammapy-sensitivity
Do we have a reasonable global design?
from gammapy.
Related Issues (20)
- gammapy.visualization.plot_distribution does not work with non-array representation of axes HOT 2
- Keyword argument in `FluxPoints.read` shares name with arbitrary keyword argument. HOT 2
- Implement an estimator for the computation of Dark Matter upper limits HOT 2
- WcsNDmap fill_by_coord creating strange wavy patterns in spectra HOT 1
- Fit.covariance fails with default optimize_result argument=None
- TypeError when np.isnan is called on strings (modelings.models.core, writing a model to disk) HOT 1
- A generalised 1D model HOT 1
- TemplateSpatialModel.__init__ does not check for nan values in input map HOT 1
- LabelMapAxis re-orders labels HOT 1
- EBLAbsorptionNormSpectralModel.read_builtin('finke') --> IORegistryError: Format could not be identified HOT 3
- `SpectrumDatasetOnOff.plot_fit` shows residuals only within `mask_safe` HOT 4
- Named arguments aren't checked for some functions (leading to fat-fingering bugs)
- Consider other types of sample interpolation
- Not able to reproduce spiral arms plot with Faucher model using radius and theta HOT 1
- 3PC model fallback when the "b free" fit is not available
- Add an `inverted` parameter on `Observations.select_time`
- Sorting events by time with `MapDatasetEventSampler` HOT 1
- Allow for dowloading dataset from external repository HOT 1
- 'release' not showing as number in new sphinx HOT 1
- Gammpy.org issues on mobile phone HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from gammapy.