Embedded newform data - 225.4.e.f.151.2

Formats: - HTML - YAML - JSON - 2024-04-25T20:26:46.043138

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3600, 'analytic_conductor': 13.275429751291638, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [225, 3, [101, 127], [1, 3]], 'cm_discs': [], 'conrey_index': 76, 'conrey_indexes': [76, 151], 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [5330168064, 10450073088, 27556257024, 7257518784, 26226976464, 2226294768, 17514794068, -1209871450, 6403256711, -948645541, 1723087727, -300840058, 271841594, -39111991, 28276085, -3598036, 2044613, -206125, 102821, -8938, 3608, -226, 80, -4, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22518273081868513, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '225.4.e.f', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '225.4.e.e', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '3.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.4.e', 'trace_display': [4, 1, 0, -6], 'traces': [24, 4, 1, -48, 0, -13, -6, -90, -61, 0, -29, 77, -24, 69, 0, -192, -158, -125, -150, 0, -60, 18, 318, 342, 0, -308, 394, 192, -106, 0, -60, 914, 80, 108, 0, 1303, -168, 640, -410, 0, 353, -1521, 426, 1142, 0, 540, 1210, -2680, -666, 0, -1369, 75, -896, -2128, 0, 570, -1544, -594, -482, 0, -402, -5088, 1038, 1950, 0, 2041, 201, 3437, 2856, 0, -1888, 5493, -906, -10, 0, 462, 2652, 4589, -258, 0, 3071, 1746, 3012, -2703, 0, -1952, -2708, 216, -1476, 0, -1236, 5232, -3024, -63, 0, -10424, 318, -15022, -1697, 0, -2448, -4511, 462, 3420, 0, 477, -7782, -3502, 192, 0, 4430, -3570, 6154, 7709, 0, 12562, -1006, -5454, 3186, 0, -1839, 2899, 12055, -3507, 0, 4335, 4368, 12783, -4373, 0, -1776, 9331, 1752, -17640, 0, -1458, 2715, -18558, 831, 0, -11848, -5355, -21260, 3175, 0, -8924, -2980, 6933, 5798, 0, 3342, -6534, -4109, 1440, 0, 18056, 2082, 10746, 11972, 0, 16176, -1496, 7572, 13003, 0, -2970, 3948, 49002, 720, 0, -3778, -7440, 10248, -20233, 0, -16729, 15716, -5589, -15500, 0, 5844, -2418, -22562, -6633, 0, -19530, 3339, -39826, 9918, 0, -12370, -16019, -3291, 20006, 0, -8793, -5556, -11800, -1644, 0, 16833, 6444, 15618, 19321, 0, 51998, -17052, -8952, 15706, 0, 5232, -2776, 37954, -2250, 0, -1680, 9384, 21875, -23120, 0, -13250, 32893, 5106, -71058, 0, 11196, 4586, -55585, 2496, 0, -19662, -1656, -39744, -9779, 0, -34423, 3906, -5607, 12106, 0, 1407, 7160, -19229, 26076, 0, 22658, -9750, 42891, 21405, 0, 26658, -18297, -10728, 35332, 0, -6816, 16290, 74339, -5934, 0, -4942, -1422, 30392, -36648, 0, -43476, 18381, 5142, -22340, 0, -17628, 12047, -36636, 324, 0, -32466, 1578, -67312, 6396, 0, -10206, -40445, 10704, 46504, 0, 4086, -33012, -23260, -8778, 0, 35099, -2913, 31896, 40324, 0, 59514, -34627, 38448, 16026, 0, 8376, 262, 45024, 19470, 0, 27623, 3486, 49581, -50494, 0, -13098, 45891, -13542, -48262, 0, 1578, 16862, -75806, -4734, 0, -42414, 10710, -62204, -25685, 0, -26875, -7600, -23634, 5880, 0, -8214, -36114, -15068, -46728, 0, 70563, 7329, 33537, 43208, 0, 12720, 49894, -11856, 19947, 0, 6741, 29299, 77654, -2850, 0, -9962, -21708, 31500, 307, 0, -28263, 10116, 28566, -13824, 0, 36342, 9914, -48175, 11778, 0, -69454, -21660, -100314, -8887, 0, 2610, -64416, -2832, 35263, 0, 12015, -69448, 21669, 29334, 0, 29086, -14058, 40212, 100536, 0, 49964, -11626, -31830, -15186, 0, -7866, 31566, 37782, -8199, 0, 31619, -15252, 36646, -52248, 0, 9279, 15186, 6378, -44190, 0, -81270, 45674, -70086, 4809, 0, -59535, 23448, -67200, -63969, 0, -38713, 37535, 45873, -8464, 0, 16536, 8618, 6604, -9648, 0, -26248, -3378, 42714, 35570, 0, 9888, 56591, 41682, 45717, 0, 8040, 39732, 54869, 22386, 0, 23215, 40032, 32145, -14579, 0, -12865, -20138, -75192, 4858, 0, -22644, 13895, 12460, 2376, 0, -40044, 16581, -69780, 6860, 0, 21036, -107460, -20526, -16391, 0, -25353, -126352, 9940, -80760, 0, 42338, 65979, 18817, 65298, 0, 28722, -16214, 7884, -16086, 0, 10500, -14363, 5412, -11226, 0, 35804, -23028, 36345, -42457, 0, 10250, 5165, 24390, -73742, 0, 151356, 57522, -33888, 23754, 0, 13788, -48186, -98836, -68847, 0, -37230, 78459, -40839, -25766, 0, 17880, -24050, -17336, 122166, 0, -52966, -18108, -13422, -2928, 0, -68122, 76663, -51180, 28935, 0, -30843, 35610, 4987, -6150, 0, -12263, -40296, -2596, 60522, 0, 2172, -15265, 7596, 81278, 0, -101040, -77111, 36380, -13482, 0, 25425, -2373, 87018, 31502, 0, 35246, -21210, 61422, 30048, 0, 3396, -45456, 76491, 3120, 0, 64618, -13770, 14436, -18998, 0, 117696, -103362, 129582, -40197, 0, -13056, -47521, -12128, 32022, 0, -62740, 67566, -76780, -14635, 0, 29610, 7072, -58464, -5412, 0, 11898, 41679, 18946, -11820, 0, 36258, 81201, 58316, 1153, 0, 28297, 108778, -54036, -484, 0, -31461, 254358, 7503, -199176, 0, -126174, 44724, -78637, -11184, 0, -123068, 16175, -70224, -24560, 0, 21663, 24060, -87530, -24162, 0, -41526, -66510, -5250, 98876, 0, -15208, -10960, 59556, 97148, 0, 66468, -98997, 84698, 25029, 0, 86917, -54594, 223550, 135020, 0, 28212, -125232, -43584, 753, 0, 33084, -38108, -35577, 148122, 0, 27672, -110121, -57046, -170990, 0, -67436, -115408, -41598, -40028, 0, 10920, -156375, -118348, -22545, 0, 98192, -56304, -119454, -73750, 0, 52612, -11397, 62454, -87572, 0, -182376, 30432, 17656, 2832, 0, 64153, 10647, 50706, 19057, 0, -23112, 166854, 97482, -84770, 0, 14412, 245634, -79800, -34164, 0, -53445, 2808, -128447, -82515, 0, -126796, 70103, 40272, 19204, 0, -16983, -5898, -222962, 70086, 0, -148656, 156276, -40266, 193449, 0, -40126, -1528, -65313, 172200, 0, -21540, -176856, 162247, -64797, 0, 200248, 58836, 357300, 10712, 0, 29803, -34984, -49830, 72024, 0, -80244, -15264, 4075, -77568, 0, -32372, 107262, -23228, -272250, 0, 47380, -116166, -76608, -89364, 0, 44112, -97657, -88266, -75123, 0, -41886, -46680, -191117, -12252, 0, 134784, 1922, 47058, 186004, 0, 220680, 43384, 283081, -21516, 0, 114942, -96450, 181848, -89372, 0, 29289, 237846, 10134, -62815, 0, 52236, 302052, 17998, 260136, 0, -200961, -122460, -130293, -85082, 0, -165024, 56256, -2532, 10822, 0, -15549, 54152, -226401, 72, 0, -94593, 18990, -34328, 302322, 0, -35793, -92704, 73341, 188648, 0, -144168, -159015, 236638, 65430, 0, 192448, -58701, 283982, 248202, 0, 183120, -180915, 82758, -127038, 0, 9144, -107720, 70512, -22668, 0, -14490, 48081, -92023, -235487, 0, -170854, -171918, 15822, -136996, 0, -32682, -214832, -215616, 82848, 0, 99473, 140628, -200047, -22128, 0, 57816, -192292, -81564, -137088, 0, 130212, 61540, 110275, -31029, 0, 22554, 144441, 140132, 73543, 0, 22288, 237932, -171390, -189072, 0, -79896, 308442, -41714, -146430, 0, -258145, 93540, -231632, -123084, 0, -231272, 307205, -17610, -44740, 0, 54882, 102942, -244866, -78510, 0, -85136, -204702, -73790, 224753, 0, 209070, -153150, -21042, 195228, 0, 129600, -208456, 176898, -50841, 0, 234563, -70854, 388594, 122526, 0, 160618, 62693, 16011, -70472, 0, 102342, -165072, 219484, 119064, 0, 62551, -201087, -20320, -231924, 0, 20958, -107480, -72810, -148174, 0, 39159, -95688, -169002, -27612, 0, 15150, 14196, -273204, -100651, 0, 180032, -71786, 33498, 341564, 0, -290520, 65268, 177993, 88206, 0, 42478, -152001, 110770, -225346, 0, -8656, 295142, 231732, -141876, 0, -12672, 343682, 88830, 80148, 0, -528150, 37326, -273642, -12790, 0, -295824, 354233, 136212, -74200, 0, -199914, 91813, -280925, 46575, 0, -49142, 292914, 12666, 293331, 0, 39791, -198780, -113862, 444072, 0, 26004, 48327, 177915, -121545, 0, 146301, 199848, 323128, 43154, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [-0.7664069714443176, 1.3274558138165478], [-0.037318510501172054, -0.9993034217763761], [-0.674759291756902, -1.1687173762021457], [0.0, 0.0], [1.3551323036158365, 0.7163344353098212], [-0.35100735720429943, 0.6079625765083242], [0.5357469581086445, 0.0], [-0.9972146575479478, 0.07458503047883773], [0.0, 0.0], [0.4735389628887583, -0.8201935430868025], [-1.1427222614131192, 0.7179040608047783], [0.08062003529087743, 0.13963799723179562], [-0.5380289711792418, -0.9318935140264579], [0.0, 0.0], [0.26415908813235006, -0.45753696192629517], [-1.1711628504704306, 0.0], [0.6652639332383874, -1.3809208821094692], [1.7677792793734262, 0.0], [0.0, 0.0], [0.6206381547625676, 0.32807459532719363], [0.7258471248169127, 1.2572040987106812], [0.8516914345298416, 1.4751728369769077], [-0.019993278482148436, -0.5353737684442533], [0.0, 0.0], [-0.24715102834006145, 0.0], [0.11174764184042363, 0.9937366172900667], [0.94738190299454, 0.0], [-0.1399688168957533, 0.24243310233874982], [0.0, 0.0], [0.16998240256631764, 0.29441815763748846], [0.6727802124843362, 1.1652895103498555], [-0.8372939828848095, -0.4426007046084942], [0.8975873732971368, -1.554666934782933], [0.0, 0.0], [0.7600486771818391, 1.1151351557381914], [1.4634102165231029, 0.0], [-1.3548383636866057, 2.3466488819486817], [0.13653210881012603, -0.08577495919596341], [0.0, 0.0], [0.32942941743588516, 0.5705884885067697], [-0.9111659374869634, 0.5724310698034101], [0.2778442700646303, -0.4812403923438282], [-1.2780992608724657, 0.0], [0.0, 0.0], [-2.6109690117723288, 0.0], [0.2626282802946772, -0.45488552497482115], [-0.46707627534656143, -0.24690048274566392], [0.2535876703769067, 0.4392267292658315], [0.0, 0.0], [0.04370605313386336, 1.1703470439324755], [0.10879823582857778, -0.1884440722289573], [-1.5805188209991734, 0.0], [-1.404785621773052, -0.6132666144292412], [0.0, 0.0], [-0.18805112389595782, 0.32571410100822873], [-0.06597088960105157, -1.766547882823241], [-0.21454615410743702, -0.3716048394825831], [0.6558325171877258, 1.1359352410249302], [0.0, 0.0], [-0.34116257552927237, 0.5909109144577543], [-0.5211027933987212, 0.0], [0.30468477421242957, -0.6324490869700955], [-1.534175604126438, 0.0], [0.0, 0.0], [1.2292408241631432, -0.7722584998759363], [0.6276061051646541, 1.0870456612855968], [0.7902530155154222, 1.3687583737072275], [1.442361407959328, -0.9061494178310677], [0.0, 0.0], [-0.8611191395645482, 0.0], [-0.5342547193626667, 0.03995870319947785], [1.7449940118060565, 0.0], [-1.1215677920261442, 1.9426123999221259], [0.0, 0.0], [-1.1928254945325396, -2.0660343610938305], [0.3324313197936957, 0.5757879359098584], [0.009223308246484057, 0.24697886831577354], [0.37440649436801193, -0.6484910709291474], [0.0, 0.0], [0.9888741464569417, -0.14875457125431482], [-1.0099080084868104, 0.0], [0.23672902986676575, -0.4100267073557285], [-0.03535488149552211, -0.9467219773914586], [0.0, 0.0], [0.42588357110678077, 0.737651983265817], [0.2474876564821359, 0.13082407539045696], [0.2536970589135746, -0.43941619576910584], [1.807558722200887, 0.0], [0.0, 0.0], [-0.11319290210067294, 0.0], [1.1493734183175515, -1.9907731573951162], [0.28786958228505316, -0.18085124363382102], [0.4025602898325458, 0.6972548750996224], [0.0, 0.0], [1.1393706396281509, -0.7157984372679314], [0.20692177143636994, -0.3583990213199472], [-0.7774054337967398, 0.0], [-0.4110458343030484, 0.8532279411723189], [0.0, 0.0], [-0.16416022670457445, 0.2843338532343482], [-1.5870806114672837, -0.8389442791475764], [-0.7800782387849753, -1.3511351434544239], [0.04319193866969914, 0.07481063225331783], [0.0, 0.0], [1.21132064291272, -2.098068897781828], [-0.6220294137684524, 0.0], [1.0859944923314944, -0.801134426844062], [-1.0447799545949048, 0.0], [0.0, 0.0], [-0.054612289532839885, -1.4623908368340441], [0.1854435668136676, 0.32119767965806606], [-0.11172739422295083, -0.1935175233914283], [2.3955748071416543, 1.2663211718423657], [0.0, 0.0], 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0.008110512709402808, -0.31312882443407564, -0.3119572271684644, -0.062102049333045535, -0.4352729466473245, -0.30725877227477055, -0.2520059032933207, -0.3259031790625997, -0.28810038684417083, -0.42903029625790495, -0.26006083718430656, -0.16365230839866646, 0.006976522863348704, -0.3249667909119011, 0.04298579706261296, -0.32253177191460025, -0.2388670869253014, -0.3394717250419529], 'char_orbit_index': 5, 'conrey_index': 151, 'dual_conrey_index': 76, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 14, 'hecke_orbit': 6, 'hecke_orbit_code': 22518273081868513, 'label': '225.4.e.f.151.2', 'level': 225, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3600, 'analytic_conductor': 13.275429751291638, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [225, 3, [101, 127], [1, 3]], 'conrey_index': 76, 'cusp_dim': 168, 'dim': 108, 'eis_dim': 24, 'eis_new_dim': 12, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 274945016033, 'hecke_orbit_dims': [4, 4, 6, 14, 24, 24, 32], 'label': '225.4.e', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 192, 'mf_new_dim': 120, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 54, 'sturm_bound': 120, 'trace_bound': 2, 'trace_display': [-1, 5, 0, -5], 'traces': [108, -1, 5, -203, 0, -27, -5, 42, -75, 0, 12, -158, 13, 174, 0, -715, 302, -256, -146, 0, -69, 3, -159, 135, 0, -648, 308, 52, 69, 0, -81, 61, 1024, 85, 0, 2103, -236, -649, -711, 0, 678, -2184, 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162129, 48302, 0, -942234, 78313, -107022, -123243, 0, -491208, 16759, 316070, -178206, 0, -311756, 203246, -54172, -34182, 0, -123900, 305070, -208131, 418506, 0, 190464, 263115, 60446, 740190, 0, -41544, 244698, -231867, -95094, 0, -218838, -15485, -162478, -161484, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 45202367
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 151, 'target_dim': 24, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518273081868513, 'target_is_minimal': True, 'target_label': '225.4.e.f.151.2', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 45202368
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 124, 'target_dim': 48, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18015085771358433, 'target_is_minimal': False, 'target_label': '225.4.k.e.124.4', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 45202369
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 124, 'target_dim': 48, 'target_embedding_index': 21, 'target_hecke_orbit_code': 18015085771358433, 'target_is_minimal': False, 'target_label': '225.4.k.e.124.21', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 45202370
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 151, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18014673454498017, 'target_is_minimal': True, 'target_label': '225.4.e.e.151.11', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 45202371
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625987025078249, 'target_is_minimal': False, 'target_label': '2025.4.a.bj.1.2', 'target_level': 2025, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 45202372
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 76, 'target_dim': 24, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518273081868513, 'target_is_minimal': True, 'target_label': '225.4.e.f.76.2', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 45202373
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 139611588515596265, 'target_is_minimal': False, 'target_label': '2025.4.a.bf.1.11', 'target_level': 2025, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 45202374
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 76, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18014673454498017, 'target_is_minimal': True, 'target_label': '225.4.e.e.76.11', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '45.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 45202375
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 49, 'target_dim': 48, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18015085771358433, 'target_is_minimal': False, 'target_label': '225.4.k.e.49.4', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '45.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 45202376
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 49, 'target_dim': 48, 'target_embedding_index': 21, 'target_hecke_orbit_code': 18015085771358433, 'target_is_minimal': False, 'target_label': '225.4.k.e.49.21', 'target_level': 225, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '45.22', 'twisting_conrey_index': 22, 'weight': 4}
  • id: 45202377
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 135107988888225769, 'target_is_minimal': False, 'target_label': '2025.4.a.be.1.11', 'target_level': 2025, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '45.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 45202378
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 151, 'source_dim': 24, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518273081868513, 'source_is_minimal': True, 'source_label': '225.4.e.f.151.2', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 153122387397707753, 'target_is_minimal': False, 'target_label': '2025.4.a.bi.1.2', 'target_level': 2025, 'twist_class_label': '225.4.e.e.76.11', 'twist_class_level': 225, 'twisting_char_label': '45.34', 'twisting_conrey_index': 34, 'weight': 4}
• hecke_orbit_code 22518273081868513 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 5, 'hecke_orbit': 6, 'label': '225.4.e.f', 'level': 225, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 172018000
    {'hecke_orbit_code': 22518273081868513, 'n': 1, 'trace_an': 24}
  • id: 172018001
    {'hecke_orbit_code': 22518273081868513, 'n': 2, 'trace_an': 4}
  • id: 172018002
    {'hecke_orbit_code': 22518273081868513, 'n': 3, 'trace_an': 1}
  • id: 172018003
    {'hecke_orbit_code': 22518273081868513, 'n': 4, 'trace_an': -48}
  • id: 172018004
    {'hecke_orbit_code': 22518273081868513, 'n': 5, 'trace_an': 0}
  • id: 172018005
    {'hecke_orbit_code': 22518273081868513, 'n': 6, 'trace_an': -13}
  • id: 172018006
    {'hecke_orbit_code': 22518273081868513, 'n': 7, 'trace_an': -6}
  • id: 172018007
    {'hecke_orbit_code': 22518273081868513, 'n': 8, 'trace_an': -90}
  • id: 172018008
    {'hecke_orbit_code': 22518273081868513, 'n': 9, 'trace_an': -61}
  • id: 172018009
    {'hecke_orbit_code': 22518273081868513, 'n': 10, 'trace_an': 0}
  • id: 172018010
    {'hecke_orbit_code': 22518273081868513, 'n': 11, 'trace_an': -29}
  • id: 172018011
    {'hecke_orbit_code': 22518273081868513, 'n': 12, 'trace_an': 77}
  • id: 172018012
    {'hecke_orbit_code': 22518273081868513, 'n': 13, 'trace_an': -24}
  • id: 172018013
    {'hecke_orbit_code': 22518273081868513, 'n': 14, 'trace_an': 69}
  • id: 172018014
    {'hecke_orbit_code': 22518273081868513, 'n': 15, 'trace_an': 0}
  • id: 172018015
    {'hecke_orbit_code': 22518273081868513, 'n': 16, 'trace_an': -192}
  • id: 172018016
    {'hecke_orbit_code': 22518273081868513, 'n': 17, 'trace_an': -158}
  • id: 172018017
    {'hecke_orbit_code': 22518273081868513, 'n': 18, 'trace_an': -125}
  • id: 172018018
    {'hecke_orbit_code': 22518273081868513, 'n': 19, 'trace_an': -150}
  • id: 172018019
    {'hecke_orbit_code': 22518273081868513, 'n': 20, 'trace_an': 0}
  • id: 172018020
    {'hecke_orbit_code': 22518273081868513, 'n': 21, 'trace_an': -60}
  • id: 172018021
    {'hecke_orbit_code': 22518273081868513, 'n': 22, 'trace_an': 18}
  • id: 172018022
    {'hecke_orbit_code': 22518273081868513, 'n': 23, 'trace_an': 318}
  • id: 172018023
    {'hecke_orbit_code': 22518273081868513, 'n': 24, 'trace_an': 342}
  • id: 172018024
    {'hecke_orbit_code': 22518273081868513, 'n': 25, 'trace_an': 0}
  • id: 172018025
    {'hecke_orbit_code': 22518273081868513, 'n': 26, 'trace_an': -308}
  • id: 172018026
    {'hecke_orbit_code': 22518273081868513, 'n': 27, 'trace_an': 394}
  • id: 172018027
    {'hecke_orbit_code': 22518273081868513, 'n': 28, 'trace_an': 192}
  • id: 172018028
    {'hecke_orbit_code': 22518273081868513, 'n': 29, 'trace_an': -106}
  • id: 172018029
    {'hecke_orbit_code': 22518273081868513, 'n': 30, 'trace_an': 0}
  • id: 172018030
    {'hecke_orbit_code': 22518273081868513, 'n': 31, 'trace_an': -60}
  • id: 172018031
    {'hecke_orbit_code': 22518273081868513, 'n': 32, 'trace_an': 914}
  • id: 172018032
    {'hecke_orbit_code': 22518273081868513, 'n': 33, 'trace_an': 80}
  • id: 172018033
    {'hecke_orbit_code': 22518273081868513, 'n': 34, 'trace_an': 108}
  • id: 172018034
    {'hecke_orbit_code': 22518273081868513, 'n': 35, 'trace_an': 0}
  • id: 172018035
    {'hecke_orbit_code': 22518273081868513, 'n': 36, 'trace_an': 1303}
  • id: 172018036
    {'hecke_orbit_code': 22518273081868513, 'n': 37, 'trace_an': -168}
  • id: 172018037
    {'hecke_orbit_code': 22518273081868513, 'n': 38, 'trace_an': 640}
  • id: 172018038
    {'hecke_orbit_code': 22518273081868513, 'n': 39, 'trace_an': -410}
  • id: 172018039
    {'hecke_orbit_code': 22518273081868513, 'n': 40, 'trace_an': 0}
  • id: 172018040
    {'hecke_orbit_code': 22518273081868513, 'n': 41, 'trace_an': 353}
  • id: 172018041
    {'hecke_orbit_code': 22518273081868513, 'n': 42, 'trace_an': -1521}
  • id: 172018042
    {'hecke_orbit_code': 22518273081868513, 'n': 43, 'trace_an': 426}
  • id: 172018043
    {'hecke_orbit_code': 22518273081868513, 'n': 44, 'trace_an': 1142}
  • id: 172018044
    {'hecke_orbit_code': 22518273081868513, 'n': 45, 'trace_an': 0}
  • id: 172018045
    {'hecke_orbit_code': 22518273081868513, 'n': 46, 'trace_an': 540}
  • id: 172018046
    {'hecke_orbit_code': 22518273081868513, 'n': 47, 'trace_an': 1210}
  • id: 172018047
    {'hecke_orbit_code': 22518273081868513, 'n': 48, 'trace_an': -2680}
  • id: 172018048
    {'hecke_orbit_code': 22518273081868513, 'n': 49, 'trace_an': -666}
  • id: 172018049
    {'hecke_orbit_code': 22518273081868513, 'n': 50, 'trace_an': 0}
  • id: 172018050
    {'hecke_orbit_code': 22518273081868513, 'n': 51, 'trace_an': -1369}
  • id: 172018051
    {'hecke_orbit_code': 22518273081868513, 'n': 52, 'trace_an': 75}
  • id: 172018052
    {'hecke_orbit_code': 22518273081868513, 'n': 53, 'trace_an': -896}
  • id: 172018053
    {'hecke_orbit_code': 22518273081868513, 'n': 54, 'trace_an': -2128}
  • id: 172018054
    {'hecke_orbit_code': 22518273081868513, 'n': 55, 'trace_an': 0}
  • id: 172018055
    {'hecke_orbit_code': 22518273081868513, 'n': 56, 'trace_an': 570}
  • id: 172018056
    {'hecke_orbit_code': 22518273081868513, 'n': 57, 'trace_an': -1544}
  • id: 172018057
    {'hecke_orbit_code': 22518273081868513, 'n': 58, 'trace_an': -594}
  • id: 172018058
    {'hecke_orbit_code': 22518273081868513, 'n': 59, 'trace_an': -482}
  • id: 172018059
    {'hecke_orbit_code': 22518273081868513, 'n': 60, 'trace_an': 0}
  • id: 172018060
    {'hecke_orbit_code': 22518273081868513, 'n': 61, 'trace_an': -402}
  • id: 172018061
    {'hecke_orbit_code': 22518273081868513, 'n': 62, 'trace_an': -5088}
  • id: 172018062
    {'hecke_orbit_code': 22518273081868513, 'n': 63, 'trace_an': 1038}
  • id: 172018063
    {'hecke_orbit_code': 22518273081868513, 'n': 64, 'trace_an': 1950}
  • id: 172018064
    {'hecke_orbit_code': 22518273081868513, 'n': 65, 'trace_an': 0}
  • id: 172018065
    {'hecke_orbit_code': 22518273081868513, 'n': 66, 'trace_an': 2041}
  • id: 172018066
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