Alexander Held

Why this is interesting: it could be used to build (pre-fit) Asimov datasets even if users provide non-default initial values for constrained parameters. It may be interesting to (optionally?) pick...

Thanks for the quick reply! There is no way to instantiate a `Histogram` and fill the value and variance at the same time, right? Something like this: ``` h =...

I was surprised that the default `bh.storage.Double()` storage changes the API and I could not use `h.view().value` anymore to set bin contents. `h[...] = [...]` still works. Does this mean...

I just ran into a setup where I was looking for such a feature as well. Both the ability to specify new bin edges explicitly, and the possibility to pick...

I was wondering about this as well and had a brief look at this. `h._repr_html_()` reveals the repr used in the notebook, and the difference between the axis label (where...

Hi, thanks for tagging me. I think it would be great to have a central implementation for commonly needed figures with an agreed-upon API. [This document](https://github.com/iris-hep/as-user-facing/blob/master/fit-visualization.md) includes links to a...

With `pyhf` 0.6.3 and `iminuit` 2.8.2 I get a slightly better result using the code above: ```bash [0.02092916 0.0063749 ] [3.07345898e-19 6.20569308e-06] ``` where `[0 0]` is expected. I think...

Suggestion for a possible concrete action: maybe add a warning if `result_obj.minuit.fmin.has_parameters_at_limit` is `True` after a fit.

In the `minuit_errors.ipynb` notebook, the objective is 2 NLL, but `errordef=0.5` - I think `errordef=1` is needed if the objective is not the NLL.

I did not understand the last entry in the legend in the plots above, which seemed to have a completely different behavior. For me all the implementations look much more...