Embedded newform data - 2205.4.a.b.1.1

Formats: - HTML - YAML - JSON - 2024-12-10T14:25:37.776748

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 35280, 'analytic_conductor': 130.09921156265804, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [7, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2205, 1, [1226, 442, 1081], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [5, 1]], [11, [12, 1]], [13, [30, 1]], [17, [134, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694481565, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2205.4.a.b', 'level': 2205, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '105.4.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-5q^{2}+17q^{4}+5q^{5}-45q^{8}-5^{2}q^{10}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2205.4.a', 'trace_display': [-5, 0, 5, 0], 'trace_hash': 1274021845130177421, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.959', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.893', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.715', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, -5, 0, 17, 5, 0, 0, -45, 0, -25, -12, 0, -30, 0, 0, 89, -134, 0, 92, 85, 0, 60, -112, 0, 25, 150, 0, 0, 58, 0, 224, -85, 0, 670, 0, 0, -146, -460, 0, -225, 18, 0, 340, -204, 0, 560, 208, 0, 0, -125, 0, -510, 754, 0, -60, 0, 0, -290, 380, 0, -718, -1120, 0, -287, -150, 0, 412, -2278, 0, 0, 960, 0, -1066, 730, 0, 1564, 0, 0, 896, 445, 0, -90, 436, 0, -670, -1700, 0, 540, -1038, 0, 0, -1904, 0, -1040, 460, 0, 702, 0, 0, 425, 46, 0, -1880, 1350, 0, -3770, -732, 0, -378, 300, 0, 0, -1458, 0, -560, 986, 0, -1900, 0, 0, -1187, 3590, 0, 3808, 125, 0, 608, 2115, 0, 750, -956, 0, 0, -2060, 0, 6030, 374, 0, -396, 0, 0, -4800, 360, 0, 290, 5330, 0, -2482, 1874, 0, -1096, -4140, 0, 0, 1120, 0, -1918, -4480, 0, -425, 0, 0, 2316, 306, 0, -2180, -1736, 0, -1297, 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• 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

  
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-0.09733409543956434, -0.23242434059491116, -0.3323595875986217, -0.3057045500490069, -0.411928263396448, -0.28504085455594275, -0.38729199380894713, -0.32956605480880036, -0.2817440987071424, -0.28169071326864087, -0.11863258134415328, -0.3108762222663285, -0.3931110085705289, -0.351270912029836, -0.4120793084554038, -0.24580344537873694, -0.11138014630033467, -0.23756774435598915, -0.2370660745070308, -0.26046300836189773, -0.13862414406196677, -0.39116419275676845], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694481565, 'label': '2205.4.a.b.1.1', 'level': 2205, 'weight': 4}
• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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

  
  {'ALdims': [20, 21, 20, 21, 29, 33, 31, 30], 'Nk2': 35280, 'analytic_conductor': 130.09921156265804, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2205, 1, [1226, 442, 1081], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 976, 'dim': 205, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11, 13, 17], 'hecke_orbit_code': 67111069, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 12, 12], 'label': '2205.4.a', 'level': 2205, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 7], 'level_radical': 105, 'mf_dim': 1040, 'mf_new_dim': 205, 'num_forms': 61, 'plus_dim': 105, 'prim_orbit_index': 1, 'relative_dim': 205, 'sturm_bound': 1344, 'trace_bound': 13, 'trace_display': [4, 0, -5, 0], 'traces': [205, 4, 0, 816, -5, 0, 0, 0, 0, -20, -80, 0, -34, 0, 0, 3240, -194, 0, -64, -80, 0, -512, -130, 0, 5125, -72, 0, 0, 422, 0, 412, 104, 0, -552, 0, 0, 1050, -1540, 0, -180, 830, 0, -246, -2464, 0, -236, -554, 0, 0, 100, 0, 416, 1286, 0, -80, 0, 0, 724, -1652, 0, 2158, -936, 0, 12568, 290, 0, 926, -244, 0, 0, 28, 0, 618, -648, 0, -1548, 0, 0, -1192, -2320, 0, 1492, 1166, 0, -210, -7800, 0, -11072, -3030, 0, 0, -2324, 0, 2916, 500, 0, 2170, 0, 0, 20400, 1958, 0, 198, 3604, 0, 2148, 9946, 0, -6082, -520, 0, 0, 1550, 0, -70, -4160, 0, -484, 0, 0, 25909, 3840, 0, 6744, -125, 0, -7866, -3336, 0, -400, -16, 0, 0, -1856, 0, -4988, 2654, 0, -1160, 0, 0, 16760, -1744, 0, -250, -2548, 0, 12432, -1838, 0, 9004, 164, 0, 0, 140, 0, -4578, 4904, 0, -4260, 0, 0, 5282, 12784, 0, -16748, -8538, 0, 35023, -1800, 0, 11572, -10030, 0, 0, -12520, 0, -1460, -11036, 0, 7770, 0, 0, 24452, -1190, 0, 19032, 7840, 0, 12060, 11804, 0, -10606, 24400, 0, 0, -18746, 0, -3000, 0, 0, 13384, 0, 0, 4950, 17736, 0, 1152, -7888, 0, -10860, 13000, 0, 12880, -5170, 0, 0, 50052, 0, -2080, 1404, 0, -17434, 0, 0, -16312, 22922, 0, -1262, 5240, 0, 11300, 430, 0, -6090, 16864, 0, 0, -4520, 0, -19490, 9932, 0, 32824, 0, 0, -40144, -38856, 0, -500, -18152, 0, -14320, 32392, 0, 55432, -23178, 0, 0, 11360, 0, 2404, 4166, 0, -2390, 0, 0, 65092, -1918, 0, -22284, 11724, 0, -17832, -2000, 0, -46078, 19516, 0, 0, -13958, 0, 17258, 28784, 0, -35324, 0, 0, 36103, -13460, 0, 12316, 17698, 0, -7860, 49104, 0, -5636, 5996, 0, 0, 37128, 0, -11068, 15590, 0, 25534, 0, 0, -1960, 14044, 0, -3726, 15308, 0, -84736, -14554, 0, -9456, -25800, 0, 0, -360, 0, -850, 26800, 0, 16460, 0, 0, 1404, 9428, 0, -40980, 1730, 0, 538, -8404, 0, -27880, -3960, 0, 0, -27288, 0, -30956, -19526, 0, -61342, 0, 0, -100800, -56322, 0, 7620, -22112, 0, 42752, -42256, 0, 97061, -28808, 0, 0, 13850, 0, -3462, -29396, 0, 5360, 0, 0, -8838, -42428, 0, 32680, 5596, 0, -89568, -7840, 0, -25040, 5522, 0, 0, -1632, 0, 78356, -40514, 0, 20324, 0, 0, 32500, -12440, 0, 2174, 36384, 0, 81000, 81122, 0, -50640, 75544, 0, 0, -36144, 0, 17214, 31380, 0, -74504, 0, 0, -11410, 45820, 0, 6296, -18108, 0, 22518, -53448, 0, 26604, -4850, 0, 0, 257108, 0, 14120, 22316, 0, 60882, 0, 0, -128392, 41528, 0, -11136, 2020, 0, -37328, -3218, 0, -23110, -976, 0, 0, 40022, 0, 8128, 86632, 0, 9760, 0, 0, 24386, -107680, 0, 41000, 31038, 0, -15070, -103184, 0, 55656, -53798, 0, 0, -19440, 0, -12292, 13992, 0, -1600, 0, 0, -84808, -28080, 0, 12796, -57348, 0, 122284, 24770, 0, 42262, 37608, 0, 0, -74140, 0, 30676, -95172, 0, 103512, 0, 0, -83316, -2000, 0, 58892, -5318, 0, 12190, 103292, 0, -138224, 64694, 0, 0, -106280, 0, 42932, -12490, 0, 42552, 0, 0, 26440, 66050, 0, 2258, 65272, 0, -63352, 46248, 0, 76561, -54840, 0, 0, -19212, 0, 14870, -2856, 0, -174960, 0, 0, -24310, 98872, 0, -32180, -11250, 0, -76602, 60760, 0, -12800, 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-42766, 0, 0, -83040, -5532, 0, -52482, 12448, 0, 372924, -75824, 0, 164704, -123260, 0, 0, 233342, 0, 6610, 1756, 0, 153360, 0, 0, 255476, 119184, 0, -1404, -39740, 0, 98162, -111336, 0, 81820, 25610, 0, 0, 97312, 0, 245656, 169344, 0, -107886, 0, 0, -256768, -4590, 0, 10300, 87988, 0, 13664, -9228, 0, -115304, -444344, 0, 0, -42310, 0, 23190, -289360, 0, -17420, 0, 0, -48988, -54856, 0, -56184, 77090, 0, 24020, 2600, 0, -272460, 162744, 0, 0, 24552, 0, 81800, -219950, 0, 114628, 0, 0, 143956, 24910, 0, 220680, 81836, 0, 81280, -325802, 0, -216422, 252260, 0, 0, -75310, 0, -53354, 113760, 0, 127664, 0, 0, 60990, -164672, 0, 3252, -38544, 0, 30447, 478372, 0, -76492, -94235, 0, 0, -37496, 0, -13800, -57072, 0, -208842, 0, 0, 3936, 50862, 0, -219120, -15600, 0, 56616, 55622, 0, -73150, -36316, 0, 0, 384248, 0, -42404, 761436, 0, 141440, 0, 0, -174078, -53808, 0, 43600, 179854, 0, -52486, -65064, 0, -326272, -217474, 0, 0, -49560, 0, -49728, -170640, 0, 60820, 0, 0, 30700, -164160, 0, -110564, -48184, 0, -67168, 30290, 0, -475194, 203324, 0, 0, 166660, 0, 109296, -114552, 0, -60736, 0, 0, 56680, 130840, 0, 102632, -121976, 0, 26250, 84344, 0, -152404, 257238, 0, 0, -486976, 0, 110712, 7440, 0, -143462, 0, 0, -268820, -175530, 0, -150028, 83664, 0, -399840, 162514, 0, -4796, -38500, 0, 0, 1414, 0, -87260, -84808, 0, -95616, 0, 0, 399757, 82968, 0, -279772, -45690, 0, -348810, -84288, 0, -42800, 79944, 0, 0, 239844, 0, 6408, 461326, 0, -52344, 0, 0, 31968, -62542, 0, 71530, 14796, 0, -633672, 189576, 0, 112924, -742872, 0, 0, -73600, 0, -27362, -274224, 0, -4500], '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: 34368406
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694481565, 'target_is_minimal': False, 'target_label': '2205.4.a.b.1.1', 'target_level': 2205, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 34368407
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713444063, 'target_is_minimal': False, 'target_label': '735.4.a.j.1.1', 'target_level': 735, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 34368408
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109179, 'target_is_minimal': False, 'target_label': '315.4.a.a.1.1', 'target_level': 315, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 34368409
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694479465, 'target_is_minimal': True, 'target_label': '105.4.a.b.1.1', 'target_level': 105, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 34368410
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185895, 'target_is_minimal': False, 'target_label': '1575.4.a.l.1.1', 'target_level': 1575, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 4}
  • id: 34368411
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992614520464, 'target_is_minimal': False, 'target_label': '1680.4.a.u.1.1', 'target_level': 1680, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 34368412
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 274, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206225539597, 'target_is_minimal': False, 'target_label': '525.4.d.a.274.2', 'target_level': 525, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '105.62', 'twisting_conrey_index': 62, 'weight': 4}
  • id: 34368413
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 274, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206225539597, 'target_is_minimal': False, 'target_label': '525.4.d.a.274.1', 'target_level': 525, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '105.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 34368414
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694481565, 'source_is_minimal': False, 'source_label': '2205.4.a.b.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109389, 'target_is_minimal': False, 'target_label': '525.4.a.a.1.1', 'target_level': 525, 'twist_class_label': '105.4.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2497250
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 2}
  • id: 2497251
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 3}
  • id: 2497252
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 5}
  • id: 2497253
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 7}
  • id: 2497254
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 11}
  • id: 2497255
    {'charpoly_factorization': [[[30, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 13}
  • id: 2497256
    {'charpoly_factorization': [[[134, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 17}
  • id: 2497257
    {'charpoly_factorization': [[[-92, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 19}
  • id: 2497258
    {'charpoly_factorization': [[[112, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 23}
  • id: 2497259
    {'charpoly_factorization': [[[-58, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 29}
  • id: 2497260
    {'charpoly_factorization': [[[-224, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 31}
  • id: 2497261
    {'charpoly_factorization': [[[146, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 37}
  • id: 2497262
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 41}
  • id: 2497263
    {'charpoly_factorization': [[[-340, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 43}
  • id: 2497264
    {'charpoly_factorization': [[[-208, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 47}
  • id: 2497265
    {'charpoly_factorization': [[[-754, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 53}
  • id: 2497266
    {'charpoly_factorization': [[[-380, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 59}
  • id: 2497267
    {'charpoly_factorization': [[[718, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 61}
  • id: 2497268
    {'charpoly_factorization': [[[-412, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 67}
  • id: 2497269
    {'charpoly_factorization': [[[-960, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 71}
  • id: 2497270
    {'charpoly_factorization': [[[1066, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 73}
  • id: 2497271
    {'charpoly_factorization': [[[-896, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 79}
  • id: 2497272
    {'charpoly_factorization': [[[-436, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 83}
  • id: 2497273
    {'charpoly_factorization': [[[1038, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 89}
  • id: 2497274
    {'charpoly_factorization': [[[-702, 1], 1]], 'hecke_orbit_code': 4503599694481565, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '2205.4.a.b', 'level': 2205, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19162758
    {'hecke_orbit_code': 4503599694481565, 'n': 1, 'trace_an': 1}
  • id: 19162759
    {'hecke_orbit_code': 4503599694481565, 'n': 2, 'trace_an': -5}
  • id: 19162760
    {'hecke_orbit_code': 4503599694481565, 'n': 3, 'trace_an': 0}
  • id: 19162761
    {'hecke_orbit_code': 4503599694481565, 'n': 4, 'trace_an': 17}
  • id: 19162762
    {'hecke_orbit_code': 4503599694481565, 'n': 5, 'trace_an': 5}
  • id: 19162763
    {'hecke_orbit_code': 4503599694481565, 'n': 6, 'trace_an': 0}
  • id: 19162764
    {'hecke_orbit_code': 4503599694481565, 'n': 7, 'trace_an': 0}
  • id: 19162765
    {'hecke_orbit_code': 4503599694481565, 'n': 8, 'trace_an': -45}
  • id: 19162766
    {'hecke_orbit_code': 4503599694481565, 'n': 9, 'trace_an': 0}
  • id: 19162767
    {'hecke_orbit_code': 4503599694481565, 'n': 10, 'trace_an': -25}
  • id: 19162768
    {'hecke_orbit_code': 4503599694481565, 'n': 11, 'trace_an': -12}
  • id: 19162769
    {'hecke_orbit_code': 4503599694481565, 'n': 12, 'trace_an': 0}
  • id: 19162770
    {'hecke_orbit_code': 4503599694481565, 'n': 13, 'trace_an': -30}
  • id: 19162771
    {'hecke_orbit_code': 4503599694481565, 'n': 14, 'trace_an': 0}
  • id: 19162772
    {'hecke_orbit_code': 4503599694481565, 'n': 15, 'trace_an': 0}
  • id: 19162773
    {'hecke_orbit_code': 4503599694481565, 'n': 16, 'trace_an': 89}
  • id: 19162774
    {'hecke_orbit_code': 4503599694481565, 'n': 17, 'trace_an': -134}
  • id: 19162775
    {'hecke_orbit_code': 4503599694481565, 'n': 18, 'trace_an': 0}
  • id: 19162776
    {'hecke_orbit_code': 4503599694481565, 'n': 19, 'trace_an': 92}
  • id: 19162777
    {'hecke_orbit_code': 4503599694481565, 'n': 20, 'trace_an': 85}
  • id: 19162778
    {'hecke_orbit_code': 4503599694481565, 'n': 21, 'trace_an': 0}
  • id: 19162779
    {'hecke_orbit_code': 4503599694481565, 'n': 22, 'trace_an': 60}
  • id: 19162780
    {'hecke_orbit_code': 4503599694481565, 'n': 23, 'trace_an': -112}
  • id: 19162781
    {'hecke_orbit_code': 4503599694481565, 'n': 24, 'trace_an': 0}
  • id: 19162782
    {'hecke_orbit_code': 4503599694481565, 'n': 25, 'trace_an': 25}
  • id: 19162783
    {'hecke_orbit_code': 4503599694481565, 'n': 26, 'trace_an': 150}
  • id: 19162784
    {'hecke_orbit_code': 4503599694481565, 'n': 27, 'trace_an': 0}
  • id: 19162785
    {'hecke_orbit_code': 4503599694481565, 'n': 28, 'trace_an': 0}
  • id: 19162786
    {'hecke_orbit_code': 4503599694481565, 'n': 29, 'trace_an': 58}
  • id: 19162787
    {'hecke_orbit_code': 4503599694481565, 'n': 30, 'trace_an': 0}
  • id: 19162788
    {'hecke_orbit_code': 4503599694481565, 'n': 31, 'trace_an': 224}
  • id: 19162789
    {'hecke_orbit_code': 4503599694481565, 'n': 32, 'trace_an': -85}
  • id: 19162790
    {'hecke_orbit_code': 4503599694481565, 'n': 33, 'trace_an': 0}
  • id: 19162791
    {'hecke_orbit_code': 4503599694481565, 'n': 34, 'trace_an': 670}
  • id: 19162792
    {'hecke_orbit_code': 4503599694481565, 'n': 35, 'trace_an': 0}
  • id: 19162793
    {'hecke_orbit_code': 4503599694481565, 'n': 36, 'trace_an': 0}
  • id: 19162794
    {'hecke_orbit_code': 4503599694481565, 'n': 37, 'trace_an': -146}
  • id: 19162795
    {'hecke_orbit_code': 4503599694481565, 'n': 38, 'trace_an': -460}
  • id: 19162796
    {'hecke_orbit_code': 4503599694481565, 'n': 39, 'trace_an': 0}
  • id: 19162797
    {'hecke_orbit_code': 4503599694481565, 'n': 40, 'trace_an': -225}
  • id: 19162798
    {'hecke_orbit_code': 4503599694481565, 'n': 41, 'trace_an': 18}
  • id: 19162799
    {'hecke_orbit_code': 4503599694481565, 'n': 42, 'trace_an': 0}
  • id: 19162800
    {'hecke_orbit_code': 4503599694481565, 'n': 43, 'trace_an': 340}
  • id: 19162801
    {'hecke_orbit_code': 4503599694481565, 'n': 44, 'trace_an': -204}
  • id: 19162802
    {'hecke_orbit_code': 4503599694481565, 'n': 45, 'trace_an': 0}
  • id: 19162803
    {'hecke_orbit_code': 4503599694481565, 'n': 46, 'trace_an': 560}
  • id: 19162804
    {'hecke_orbit_code': 4503599694481565, 'n': 47, 'trace_an': 208}
  • id: 19162805
    {'hecke_orbit_code': 4503599694481565, 'n': 48, 'trace_an': 0}
  • id: 19162806
    {'hecke_orbit_code': 4503599694481565, 'n': 49, 'trace_an': 0}
  • id: 19162807
    {'hecke_orbit_code': 4503599694481565, 'n': 50, 'trace_an': -125}
  • id: 19162808
    {'hecke_orbit_code': 4503599694481565, 'n': 51, 'trace_an': 0}
  • id: 19162809
    {'hecke_orbit_code': 4503599694481565, 'n': 52, 'trace_an': -510}
  • id: 19162810
    {'hecke_orbit_code': 4503599694481565, 'n': 53, 'trace_an': 754}
  • id: 19162811
    {'hecke_orbit_code': 4503599694481565, 'n': 54, 'trace_an': 0}
  • id: 19162812
    {'hecke_orbit_code': 4503599694481565, 'n': 55, 'trace_an': -60}
  • id: 19162813
    {'hecke_orbit_code': 4503599694481565, 'n': 56, 'trace_an': 0}
  • id: 19162814
    {'hecke_orbit_code': 4503599694481565, 'n': 57, 'trace_an': 0}
  • id: 19162815
    {'hecke_orbit_code': 4503599694481565, 'n': 58, 'trace_an': -290}
  • id: 19162816
    {'hecke_orbit_code': 4503599694481565, 'n': 59, 'trace_an': 380}
  • id: 19162817
    {'hecke_orbit_code': 4503599694481565, 'n': 60, 'trace_an': 0}
  • id: 19162818
    {'hecke_orbit_code': 4503599694481565, 'n': 61, 'trace_an': -718}
  • id: 19162819
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  • id: 19162824
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  • id: 19162827
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  • id: 19162830
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  • id: 19162900
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  • id: 19162902
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  • id: 19162912
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  • id: 19162913
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  • id: 19162916
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  • id: 19162917
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  • id: 19162918
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  • id: 19162919
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  • id: 19162920
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  • id: 19162921
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  • id: 19162922
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  • id: 19162923
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  • id: 19162924
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  • id: 19162925
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  • id: 19162926
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  • id: 19162927
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  • id: 19162928
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  • id: 19162929
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  • id: 19162930
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  • id: 19162931
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  • id: 19162932
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  • id: 19162933
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  • id: 19162938
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  • id: 19163000
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  • id: 19163004
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  • id: 19163008
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  • id: 19163009
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  • id: 19163010
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  • id: 19163011
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  • id: 19163012
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  • id: 19163014
    {'hecke_orbit_code': 4503599694481565, 'n': 991, 'trace_an': 10656}
  • id: 19163015
    {'hecke_orbit_code': 4503599694481565, 'n': 997, 'trace_an': 29434}