diff --git a/notebooks/adler_demo.ipynb b/notebooks/adler_demo.ipynb
index 289dace..b2de112 100644
--- a/notebooks/adler_demo.ipynb
+++ b/notebooks/adler_demo.ipynb
@@ -4,7 +4,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "7fafdbd9",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:22.264374Z",
+     "iopub.status.busy": "2024-10-22T13:49:22.264159Z",
+     "iopub.status.idle": "2024-10-22T13:49:24.365469Z",
+     "shell.execute_reply": "2024-10-22T13:49:24.364557Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:22.264357Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from adler.objectdata.AdlerPlanetoid import AdlerPlanetoid\n",
@@ -24,21 +32,39 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "b9b8d9be",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:24.367159Z",
+     "iopub.status.busy": "2024-10-22T13:49:24.366563Z",
+     "iopub.status.idle": "2024-10-22T13:49:26.858571Z",
+     "shell.execute_reply": "2024-10-22T13:49:26.857667Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:24.367135Z"
+    }
+   },
    "outputs": [],
    "source": [
-    "# ssoid = \"6098332225018\"  # good test object\n",
-    "ssoid = \"8268570668335894776\"  # NEO\n",
+    "ssoid = \"6098332225018\"  # good test object\n",
+    "# ssoid = \"8268570668335894776\"  # NEO\n",
+    "# ssoid = \"-4973461691235584486\" # NEO\n",
     "\n",
-    "fname = \"/Users/jrobinson/lsst-adler/notebooks/gen_test_data/adler_demo_testing_database.db\"\n",
-    "planetoid = AdlerPlanetoid.construct_from_SQL(ssoid, sql_filename=fname)"
+    "# fname = \"/Users/jrobinson/lsst-adler/notebooks/gen_test_data/adler_demo_testing_database.db\"\n",
+    "# planetoid = AdlerPlanetoid.construct_from_SQL(ssoid, sql_filename=fname)\n",
+    "planetoid = AdlerPlanetoid.construct_from_RSP(ssoid)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "dfca7299",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:26.861022Z",
+     "iopub.status.busy": "2024-10-22T13:49:26.860753Z",
+     "iopub.status.idle": "2024-10-22T13:49:26.910514Z",
+     "shell.execute_reply": "2024-10-22T13:49:26.909442Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:26.861003Z"
+    }
+   },
    "outputs": [],
    "source": [
     "planetoid.__dict__"
@@ -47,8 +73,16 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3639679e",
-   "metadata": {},
+   "id": "477268a2-7e9d-4962-a81e-187ab61b7b87",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:26.911998Z",
+     "iopub.status.busy": "2024-10-22T13:49:26.911740Z",
+     "iopub.status.idle": "2024-10-22T13:49:26.917243Z",
+     "shell.execute_reply": "2024-10-22T13:49:26.916406Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:26.911979Z"
+    }
+   },
    "outputs": [],
    "source": [
     "planetoid.MPCORB"
@@ -58,7 +92,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "334fd033",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:26.918460Z",
+     "iopub.status.busy": "2024-10-22T13:49:26.918225Z",
+     "iopub.status.idle": "2024-10-22T13:49:26.965001Z",
+     "shell.execute_reply": "2024-10-22T13:49:26.963946Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:26.918437Z"
+    }
+   },
    "outputs": [],
    "source": [
     "filters = planetoid.filter_list"
@@ -68,7 +110,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "960ee095",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:26.966552Z",
+     "iopub.status.busy": "2024-10-22T13:49:26.966297Z",
+     "iopub.status.idle": "2024-10-22T13:49:26.985388Z",
+     "shell.execute_reply": "2024-10-22T13:49:26.984534Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:26.966534Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# get all obs as dataframe\n",
@@ -85,17 +135,88 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "6f188ab5",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:26.986708Z",
+     "iopub.status.busy": "2024-10-22T13:49:26.986460Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.015012Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.013967Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:26.986690Z"
+    }
+   },
    "outputs": [],
    "source": [
     "df_obs"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8a3ca51",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.016477Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.016231Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.025836Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.024894Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.016459Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# calculate elongation angle\n",
+    "R = df_obs[\"heliocentricDist\"]\n",
+    "Delta = df_obs[\"topocentricDist\"]\n",
+    "alpha = np.radians(df_obs[\"phaseAngle\"])\n",
+    "\n",
+    "R_E = np.sqrt((R * R) + (Delta * Delta) - (2.0 * R * Delta * np.cos(alpha)))\n",
+    "df_obs[\"elong\"] = np.degrees(np.arccos(((R_E * R_E) + (Delta * Delta) - (R * R)) / (2.0 * R_E * Delta)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0d45807d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.048396Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.048063Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.317638Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.316589Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.048373Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "x_plot = \"midPointMjdTai\"\n",
+    "y_plot = \"elong\"\n",
+    "df_plot = df_obs\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "gs = gridspec.GridSpec(1, 1)\n",
+    "ax1 = plt.subplot(gs[0, 0])\n",
+    "\n",
+    "ax1.scatter(df_plot[x_plot], df_plot[y_plot])\n",
+    "\n",
+    "ax1.set_xlabel(x_plot)\n",
+    "ax1.set_ylabel(y_plot)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "8a0f5291",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.319596Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.319182Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.355353Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.354328Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.319562Z"
+    }
+   },
    "outputs": [],
    "source": [
     "tmin = np.amin(np.floor(df_obs[\"midPointMjdTai\"]))  # mjd\n",
@@ -107,7 +228,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "0a293038",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.357205Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.356817Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.669853Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.669093Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.357176Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# cumulative data in filter\n",
@@ -140,7 +269,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "09c7d0cb",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.672870Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.672622Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.679269Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.678468Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.672852Z"
+    }
+   },
    "outputs": [],
    "source": [
     "data_nights"
@@ -150,7 +287,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "d57a9e80",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.680435Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.680218Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.695007Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.694150Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.680419Z"
+    }
+   },
    "outputs": [],
    "source": [
     "N_data"
@@ -160,7 +305,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "504569cb",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.696425Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.696205Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.710841Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.710150Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.696408Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# create the empty AdlerData object\n",
@@ -172,7 +325,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "87a6de72",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.712024Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.711804Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.750033Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.749252Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.712006Z"
+    }
+   },
    "outputs": [],
    "source": [
     "planetoid.SSObject"
@@ -182,7 +343,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "8de34419",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.751267Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.751024Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.756256Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.755486Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.751248Z"
+    }
+   },
    "outputs": [],
    "source": [
     "planetoid.SSObject_in_filter(\"r\")"
@@ -192,7 +361,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "cd3e6491",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.757763Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.757542Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.770935Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.770130Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.757745Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# TODO: we need a translation between planetoid.SSObject attributes and AdlerData attributes\n",
@@ -204,7 +381,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "71776f60",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.772332Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.772091Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.786653Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.785661Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.772315Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ADLER_SSOBJECT, SSOBJECT_ADLER"
@@ -214,7 +399,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "c74ef722",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.788411Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.788064Z",
+     "iopub.status.idle": "2024-10-22T13:49:27.799860Z",
+     "shell.execute_reply": "2024-10-22T13:49:27.799133Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.788382Z"
+    }
+   },
    "outputs": [],
    "source": [
     "sso_r = planetoid.SSObject_in_filter(\"r\")\n",
@@ -225,7 +418,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "0d979da6",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:27.801232Z",
+     "iopub.status.busy": "2024-10-22T13:49:27.801000Z",
+     "iopub.status.idle": "2024-10-22T13:49:36.318337Z",
+     "shell.execute_reply": "2024-10-22T13:49:36.317155Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:27.801215Z"
+    }
+   },
    "outputs": [],
    "source": [
     "N_pc_fit = 25  # minimum number of observations to fit phase curve parameter (otherwise just fit H)\n",
@@ -303,6 +504,7 @@
     "        # store values in AdlerData\n",
     "        adler_data.populate_phase_parameters(filt, **ad_params)\n",
     "\n",
+    "        ad_params[\"filter_name\"] = filt\n",
     "        ad_params_list.append(ad_params)\n",
     "\n",
     "#         break\n",
@@ -310,11 +512,37 @@
     "#     break"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e1bdad8b-e2e2-4edf-82c4-7d653921ba57",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:36.319502Z",
+     "iopub.status.busy": "2024-10-22T13:49:36.319239Z",
+     "iopub.status.idle": "2024-10-22T13:49:36.354366Z",
+     "shell.execute_reply": "2024-10-22T13:49:36.353090Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:36.319475Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "ad_params"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "ed4d567b",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:36.356222Z",
+     "iopub.status.busy": "2024-10-22T13:49:36.355886Z",
+     "iopub.status.idle": "2024-10-22T13:49:36.622298Z",
+     "shell.execute_reply": "2024-10-22T13:49:36.621538Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:36.356193Z"
+    }
+   },
    "outputs": [],
    "source": [
     "fig = plot_errorbar(planetoid, filt_list=[\"r\"])"
@@ -324,7 +552,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "04139eac",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:36.623648Z",
+     "iopub.status.busy": "2024-10-22T13:49:36.623396Z",
+     "iopub.status.idle": "2024-10-22T13:49:36.629099Z",
+     "shell.execute_reply": "2024-10-22T13:49:36.628368Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:36.623628Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ad_params"
@@ -334,10 +570,17 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "0910c4ab",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-10-22T13:49:36.630700Z",
+     "iopub.status.busy": "2024-10-22T13:49:36.630138Z",
+     "iopub.status.idle": "2024-10-22T13:49:37.427375Z",
+     "shell.execute_reply": "2024-10-22T13:49:37.426547Z",
+     "shell.execute_reply.started": "2024-10-22T13:49:36.630677Z"
+    }
+   },
    "outputs": [],
    "source": [
-    "# x_plot = \"midPointMjdTai\"\n",
     "x_plot = \"modelFitMjd\"\n",
     "y_plot = \"H\"\n",
     "\n",
@@ -355,72 +598,18 @@
     "    gs = gridspec.GridSpec(1, 1)\n",
     "    ax1 = plt.subplot(gs[0, 0])\n",
     "\n",
-    "    #     ax1.scatter(df_plot[x_plot],df_plot[y_plot])\n",
-    "    ax1.scatter(df_plot.index.values, df_plot[y_plot])\n",
+    "    for filt in np.unique(df_plot[\"filter_name\"]):\n",
+    "        _df_plot = df_plot[df_plot[\"filter_name\"] == filt]\n",
+    "        ax1.scatter(_df_plot[x_plot], _df_plot[y_plot], label=filt)\n",
+    "        ax1.plot(_df_plot[x_plot], _df_plot[y_plot])\n",
+    "        # ax1.scatter(_df_plot.index.values, _df_plot[y_plot])\n",
     "\n",
     "    # ax1.set_xlabel(x_plot)\n",
     "    ax1.set_ylabel(y_plot)\n",
     "\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c79c682f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "_df_n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f64970b7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_obs.columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d8a3ca51",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# calculate elongation angle\n",
-    "R = df_obs[\"heliocentricDist\"]\n",
-    "Delta = df_obs[\"topocentricDist\"]\n",
-    "alpha = np.radians(df_obs[\"phaseAngle\"])\n",
-    "\n",
-    "R_E = np.sqrt((R * R) + (Delta * Delta) - (2.0 * R * Delta * np.cos(alpha)))\n",
-    "df_obs[\"elong\"] = np.degrees(np.arccos(((R_E * R_E) + (Delta * Delta) - (R * R)) / (2.0 * R_E * Delta)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0d45807d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "x_plot = \"midPointMjdTai\"\n",
-    "y_plot = \"elong\"\n",
-    "df_plot = df_obs\n",
-    "\n",
-    "fig = plt.figure()\n",
-    "gs = gridspec.GridSpec(1, 1)\n",
-    "ax1 = plt.subplot(gs[0, 0])\n",
+    "    ax1.legend()\n",
     "\n",
-    "ax1.scatter(df_plot[x_plot], df_plot[y_plot])\n",
-    "\n",
-    "ax1.set_xlabel(x_plot)\n",
-    "ax1.set_ylabel(y_plot)\n",
-    "\n",
-    "plt.show()"
+    "    plt.show()"
    ]
   },
   {