diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index ecf68c03..c6748525 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -22,10 +22,10 @@ jobs:
     with:
       mongo: true
       # renovate: datasource=python-version depName=python versioning=python
-      python-version: "3.11"
+      python-version: "3.13"
       # renovate: datasource=pypi depName=poetry versioning=pep440
       poetry-version: "1.8.4"
-      # renovate: datasource=pypi depName=ruff
+      # renovate: datasource=pypi depName=ruff versioning=pep440
       ruff-version: "0.8.1"
       lint: true
       format: true
diff --git a/README.md b/README.md
index 193a75a9..f6347388 100644
--- a/README.md
+++ b/README.md
@@ -45,13 +45,11 @@ requires an access token if data is to be retrieved.
 - [T2BayesianBlocks](ampel/contrib/hu/t2/T2BayesianBlocks.py): T2 unit for running a bayesian block search algorithm to highlight excess regions.
 - [T2BrightSNProb](ampel/contrib/hu/t2/T2BrightSNProb.py): Derive a number of simple metrics describing the rise, peak and decline of a lc.
 - [T2CatalogMatchLocal](ampel/contrib/hu/t2/T2CatalogMatchLocal.py): Cross matches the position of a transient to those of sources in a set of catalogs.
-- [T2DemoLightcurveFitter](ampel/contrib/hu/t2/T2DemoLightcurveFitter.py): Demonstration class showing how methods of T2BaseLightcurveFitter can be used develop a specific classifier.
 - [T2DigestRedshifts](ampel/contrib/hu/t2/T2DigestRedshifts.py): Compare potential matches from different T2 units providing redshifts.
 - [T2DustEchoEval](ampel/contrib/hu/t2/T2DustEchoEval.py)
 - [T2ElasticcRedshiftSampler](ampel/contrib/hu/t2/T2ElasticcRedshiftSampler.py): Parse the elasticc diaSource host information and returns a list of redshifts and weights.
 - [T2ElasticcReport](ampel/contrib/hu/t2/T2ElasticcReport.py): Parse a series of T2 results from T2RunParsnip and T2XgbClassifier, and create combined classifications according to the taxonomy of https://github.com/LSSTDESC/elasticc/blob/main/taxonomy/taxonomy.ipynb.
 - [T2FastDecliner](ampel/contrib/hu/t2/T2FastDecliner.py): Determine decline rate in two last obs.
-- [T2GetLensSNParameters](ampel/contrib/hu/t2/T2GetLensSNParameters.py)
 - [T2InfantCatalogEval](ampel/contrib/hu/t2/T2InfantCatalogEval.py): Evaluate whether a transient fulfills criteria for being a potentially infant (extragalactic) transient.
 - [T2KilonovaEval](ampel/contrib/hu/t2/T2KilonovaEval.py): Evaluate whether a transient fulfills criteria for being a potential kilonova-like event.
 - [T2KilonovaStats](ampel/contrib/hu/t2/T2KilonovaStats.py): Evaluate kilonovaness stats for transient given map distance and number of detections..
@@ -62,12 +60,7 @@ requires an access token if data is to be retrieved.
 - [T2MultiXgbClassifier](ampel/contrib/hu/t2/T2MultiXgbClassifier.py): For a range of xgboost classifier models, find a classification.
 - [T2NedSNCosmo](ampel/contrib/hu/t2/T2NedSNCosmo.py): Fits lightcurves using SNCOSMO (using SALT2 defaultwise) with redshift constrained by catalog matching results.
 - [T2NedTap](ampel/contrib/hu/t2/T2NedTap.py): See also: https://ned.ipac.caltech.edu/tap/sync?QUERY=SELECT+*+FROM+TAP_SCHEMA.tables&REQUEST=doQuery&LANG=ADQL&FORMAT=text Export all NED: https://ned.ipac.caltech.edu/tap/sync?QUERY=SELECT+*+FROM+NEDTAP.objdir&REQUEST=doQuery&LANG=ADQL&FORMAT=text.
-- [T2RunParsnip](ampel/contrib/hu/t2/T2RunParsnip.py): Gathers information and runs the parsnip model and classifier.
-- [T2RunParsnipRiseDecline](ampel/contrib/hu/t2/T2RunParsnipRiseDecline.py)
-- [T2RunPossis](ampel/contrib/hu/t2/T2RunPossis.py): Load a POSSIS kilnova model and fit to a LightCurve object as process is called.
-- [T2RunSncosmo](ampel/contrib/hu/t2/T2RunSncosmo.py): Gathers information and runs Sncosmo.
 - [T2RunSnoopy](ampel/contrib/hu/t2/T2RunSnoopy.py): Gathers information and runs snoopy.
-- [T2RunTDE](ampel/contrib/hu/t2/T2RunTDE.py): Create a TDE model and fit to a LightCurve object as process is called.
 - [T2TNSEval](ampel/contrib/hu/t2/T2TNSEval.py): Evalute whether a transient fulfills criteria for submission to TNS.
 - [T2XgbClassifier](ampel/contrib/hu/t2/T2XgbClassifier.py): Load a series of xgboost classifier models (distinguished by number of detections) and return a classification.
 
diff --git a/ampel/contrib/hu/t2/T2CatalogMatchLocal.py b/ampel/contrib/hu/t2/T2CatalogMatchLocal.py
index 133a9e44..4647beb1 100755
--- a/ampel/contrib/hu/t2/T2CatalogMatchLocal.py
+++ b/ampel/contrib/hu/t2/T2CatalogMatchLocal.py
@@ -67,7 +67,7 @@ def get_extcats_query(
         return q
 
 
-class ExtcatsCatalogModel(CatalogModel):
+class ExtcatsCatalogModel(CatalogModel):  # type: ignore[override]
     catq_kwargs: dict[str, Any] = {}
     use: Literal["extcats"]
 
diff --git a/poetry.lock b/poetry.lock
index 82377c46..87476944 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -16,129 +16,6 @@ matplotlib = "*"
 numpy = "*"
 scipy = "*"
 
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.4.4"
-description = "Happy Eyeballs for asyncio"
-optional = true
-python-versions = ">=3.8"
-files = [
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-    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
-]
-
-[[package]]
-name = "aiohttp"
-version = "3.11.10"
-description = "Async http client/server framework (asyncio)"
-optional = true
-python-versions = ">=3.9"
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-yarl = ">=1.17.0,<2.0"
-
-[package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
-
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-name = "aiosignal"
-version = "1.3.1"
-description = "aiosignal: a list of registered asynchronous callbacks"
-optional = true
-python-versions = ">=3.7"
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-[package.dependencies]
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-
 [[package]]
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 version = "0.10.1"
@@ -199,20 +76,23 @@ xxhash = ">=3.0.0,<4.0.0"
 
 [[package]]
 name = "ampel-lsst"
-version = "0.10.0a0"
+version = "0.10.0a1"
 description = "Legacy Survey of Space and Time support for the Ampel system"
 optional = true
-python-versions = ">=3.10,<4.0"
+python-versions = "<4.0,>=3.10"
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 [package.dependencies]
-ampel-ztf = {version = ">=0.10.0a0,<0.12", extras = ["kafka"]}
-astropy = ">=5.0.2,<6.0.0"
+ampel-ztf = ">=0.10.3a0,<0.11"
+astropy = ">=5"
 fastavro = ">=1.3.2,<2.0.0"
 
+[package.extras]
+kafka = ["confluent-kafka (>=2.6.1,<3.0.0)"]
+
 [[package]]
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 version = "0.10.0"
@@ -243,26 +123,24 @@ mpl = ["matplotlib"]
 
 [[package]]
 name = "ampel-ztf"
-version = "0.10.2"
+version = "0.10.3a1"
 description = "Zwicky Transient Facility support for the Ampel system"
 optional = true
 python-versions = "<4.0,>=3.10"
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-ampel-core = ">=0.10.1,<0.11"
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 requests-toolbelt = ">=1.0.0,<2.0.0"
 scipy = ">=1.9.3,<2.0.0"
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 packaging = ">=19.0"
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 PyYAML = ">=3.13"
 
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 ]
 
 [[package]]
 name = "nvidia-cublas-cu12"
-version = "12.1.3.1"
+version = "12.4.5.8"
 description = "CUBLAS native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-cuda-cupti-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA profiling tools runtime libs."
 optional = true
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-cuda-nvrtc-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "NVRTC native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-cuda-runtime-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA Runtime native Libraries"
 optional = true
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"},
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 ]
 
 [[package]]
@@ -3548,35 +3250,41 @@ nvidia-cublas-cu12 = "*"
 
 [[package]]
 name = "nvidia-cufft-cu12"
-version = "11.0.2.54"
+version = "11.2.1.3"
 description = "CUFFT native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
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+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-win_amd64.whl", hash = "sha256:d802f4954291101186078ccbe22fc285a902136f974d369540fd4a5333d1440b"},
 ]
 
+[package.dependencies]
+nvidia-nvjitlink-cu12 = "*"
+
 [[package]]
 name = "nvidia-curand-cu12"
-version = "10.3.2.106"
+version = "10.3.5.147"
 description = "CURAND native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-cusolver-cu12"
-version = "11.4.5.107"
+version = "11.6.1.9"
 description = "CUDA solver native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
 ]
 
 [package.dependencies]
@@ -3586,13 +3294,14 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
-version = "12.1.0.106"
+version = "12.3.1.170"
 description = "CUSPARSE native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
 ]
 
 [package.dependencies]
@@ -3600,36 +3309,36 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.20.5"
+version = "2.21.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.6.85"
+version = "12.4.127"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-nvtx-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "NVIDIA Tools Extension"
 optional = true
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:641dccaaa1139f3ffb0d3164b4b84f9d253397e38246a4f2f36728b48566d485"},
 ]
 
 [[package]]
@@ -4071,97 +3780,6 @@ files = [
 [package.dependencies]
 wcwidth = "*"
 
-[[package]]
-name = "propcache"
-version = "0.2.1"
-description = "Accelerated property cache"
-optional = true
-python-versions = ">=3.9"
-files = [
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 ]
 
 [package.dependencies]
-astropy = ">=5.0"
-extinction = ">=0.4.6"
+astropy = ">=3.1"
+extinction = ">=0.4.4"
 looseversion = ">=1.0.0"
-numpy = ">=1.20.3,<2"
-pyyaml = ">=6.0.1"
-scipy = ">=1.10.0"
+numpy = ">=1.14.5"
+pyyaml = ">=3.13"
+scipy = ">=1.3.0"
 
 [package.extras]
 all = ["emcee (>=3)", "iminuit", "matplotlib", "nestle"]
 docs = ["astropy", "cython", "emcee (>=3)", "extinction", "iminuit", "matplotlib", "numpy", "numpydoc", "pillow", "pyyaml", "scipy", "sphinx", "sphinx-gallery", "sphinx-rtd-theme"]
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+oldestdeps = ["astropy (==3.1)", "extinction (==0.4.4)", "looseversion (==1.0.0)", "numpy (==1.14.5)", "pyyaml (==3.13)", "scipy (==1.3.0)"]
 test = ["cython", "pytest", "pytest-astropy"]
 test-coverage = ["coverage", "coveralls", "pytest-cov"]
 
@@ -5641,13 +5267,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "sympy"
-version = "1.13.3"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -5821,31 +5447,28 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.4.1"
+version = "2.5.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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+    {file = "torch-2.5.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:8046768b7f6d35b85d101b4b38cba8aa2f3cd51952bc4c06a49580f2ce682291"},
 ]
 
 [package.dependencies]
@@ -5853,25 +5476,26 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-setuptools = "*"
-sympy = "*"
-triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
+nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
+sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
+triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.11.0)"]
+optree = ["optree (>=0.12.0)"]
 
 [[package]]
 name = "tornado"
@@ -5931,16 +5555,16 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "triton"
-version = "3.0.0"
+version = "3.1.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
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-
-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
-propcache = ">=0.2.0"
-
 [[package]]
 name = "yq"
 version = "3.4.3"
@@ -6593,4 +6121,4 @@ ztf = ["ampel-ztf", "ztfquery"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "c58377873f2f4ccc7d27317e378f6cba4f300835d9f2c936011b74900f7e56b5"
+content-hash = "7f141b50c0d33b943b32281809e68616d4f86f94ea6765a14b9b6f5eef7e4499"
diff --git a/pyproject.toml b/pyproject.toml
index 330b6add..df47de6f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,7 +41,7 @@ ampel-interface = {version = ">=0.10.3a1,<0.11"}
 sncosmo = {version = "^2.5.0", optional = true}
 iminuit = {version = "^2.8.0", optional = true}
 sfdmap2 = {version = "^0.2.0", optional = true}
-numpy = "^1"
+numpy = ">=1"
 scipy = ">=1.4"
 beautifulsoup4 = "^4.10.0"
 backoff = "^2"
@@ -61,7 +61,7 @@ uncertainties = "^3.1.7"
 scikit-learn = "^1.1.3"
 healpy = {version = "^1.16.2", optional = true}
 light-curve = {version = "^0.9.0", optional = true}
-ampel-lsst = {version = ">=0.10.0a0,<0.11", optional = true}
+ampel-lsst = {version = ">=0.10.0a1,<0.11", optional = true}
 ztfquery = {version = "^1.26.1", optional = true}
 ligo-gracedb = {version = "^2.12.0", optional = true}
 snpy = {version = "^2.7.0", optional = true}