Embedded newform data - 2070.2.a.z.1.3

Formats: - HTML - YAML - JSON - 2026-08-12T14:20:11.539513

• 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': 8280, 'analytic_conductor': 16.52903321840504, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -1], [23, -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': [2070, 1, [461, 1657, 1891], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 1101, 'field_disc_factorization': [[3, 1], [367, 1]], 'field_poly': [12, -9, -1, 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': [[7, [64, -21, -3, 1]], [11, [-144, -39, 3, 1]], [13, [-18, -15, 1, 1]], [17, [18, 7, -7, 1]], [29, [-24, -32, -4, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112589990717818902, 'hecke_ring_generator_nbound': 13, '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': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2070.2.a.z', 'level': 2070, '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': [2, 3, 5, 23], 'level_radical': 690, 'minimal_twist': '230.2.a.d', 'nf_label': '3.3.1101.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}+q^{5}+(1-\\beta _{1}-\\beta _{2})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2070.2.a', 'trace_display': [-3, 0, 3, 3], 'trace_hash': 834150040032338085, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.901', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.291', 'prec': 10}, {'__RealLiteral__': 0, 'data': '22.844', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.917', 'prec': 14}, {'__RealLiteral__': 0, 'data': '269.860', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 7}, 'traces': [3, -3, 0, 3, 3, 0, 3, -3, 0, -3, -3, 0, -1, -3, 0, 3, 7, 0, 3, 3, 0, 3, 3, 0, 3, 1, 0, 3, 4, 0, -5, -3, 0, -7, 3, 0, -2, -3, 0, -3, -1, 0, 24, -3, 0, -3, 14, 0, 30, -3, 0, -1, 18, 0, -3, -3, 0, -4, -14, 0, 1, 5, 0, 3, -1, 0, 8, 7, 0, -3, -11, 0, -8, 2, 0, 3, 24, 0, -4, 3, 0, 1, -8, 0, 7, -24, 0, 3, -18, 0, 1, 3, 0, -14, 3, 0, -33, -30, 0, 3, 4, 0, 27, 1, 0, -18, -14, 0, -15, 3, 0, 3, 18, 0, 3, 4, 0, 14, -16, 0, 54, -1, 0, -5, 3, 0, 18, -3, 0, 1, 0, 0, 51, -8, 0, -7, 9, 0, -6, 3, 0, 11, 48, 0, 4, 8, 0, -2, 9, 0, -9, -3, 0, -24, -5, 0, 28, 4, 0, -3, 3, 0, 1, -1, 0, 8, -28, 0, -8, -7, 0, 24, 29, 0, 3, -3, 0, 18, 6, 0, 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-138, 0, 116, 32, 0, 14, 4, 0, -33, 4, 0, 3, 32, 0, 90, 147, 0, -9, -112, 0, -30, 18, 0, -20, -28, 0, 48, 92, 0, -57, 141, 0, 148, 24, 0, -42, -4, 0, 141, 24, 0, -3, -18, 0, -6, 6, 0, 15, 35, 0, -112, -4, 0, -50, 46, 0, 27, 3, 0, 39, 78, 0, 108, -74, 0, 16, -108, 0, 34, -4, 0, 52, 46, 0, -65, 0, 0, -6, 180, 0, 18, 1, 0, 78, -135, 0, -26, 21, 0, 1, -104, 0, 112, 1, 0, 126, 0, 0, -110, -201, 0, 0, 13, 0, 8, -1, 0, 30, 16, 0, -120, -31, 0, -10, -57, 0, -26, -28, 0, 100, -168, 0, -60, -116, 0, 89, 3, 0, 162, -22, 0, -18, 144, 0, -204, -10, 0, 8, -42, 0, 36, 51, 0, -120, 72, 0, -18, 40, 0, 4, 28, 0, 111, -28, 0, -132, -14, 0, -57, 56, 0, -8, 0, 0, -228, -159, 0, -48, 57, 0, -6, 24, 0, 18, -53, 0, -114, 1, 0, 34, -24, 0, -60, -196, 0, -8, 22, 0, -88, 18, 0, -7, 72, 0, -17, 14, 0, 36, 123, 0, -176, -7, 0, 18, 168, 0, -15, -76, 0, 42, -70, 0, -3, -41, 0, 1, 3, 0, -16, 27, 0, 9, 46, 0, 94, 18, 0, 18, 180, 0, 76, 3, 0, 24, -124, 0, 50, -6, 0, -142, 120, 0, 72, 84, 0, -42, 4, 0, 96, 29, 0, 2, 34, 0, -8, 4, 0, 25, 3, 0, -74, -6, 0, 114, 54, 0, 54, 170, 0, 25, 106, 0, -127, -30, 0, -150, -8, 0, 244, 116, 0, 3, -53, 0, 166, 13, 0, -1, -160, 0, -51, -12, 0, -52, 68, 0, -32, -3, 0, 35, -60, 0, -106, 10, 0, -42, 18, 0, 90, 50, 0, -44, -135, 0, -12, -7, 0, 7, -89, 0, -8, 11, 0, -60, 0, 0, 6, 7, 0, 18, 12, 0, -5, -5, 0, 124, 43, 0, -57, -76, 0, 48, 6, 0, 163, 6, 0, -83, 164, 0, -78, 74, 0, 80, -46, 0, 3, 71, 0, 107, 47, 0, 64, 114, 0, 0, -26, 0, -14, 6, 0, 16, -120, 0, -75, 39, 0, -3, 95, 0, -56, 4, 0, 52, 65, 0, -58, -37, 0, -41, -51, 0, 31, -1, 0, -38, -18, 0, 156, 105, 0, 8, 18, 0, -128, 56, 0, 135, 74, 0, 80, -18, 0, 46, -96, 0, 7, 20, 0, 6, -162, 0, 115, 44, 0, -3, -7, 0, 53, -156, 0, 14, 114, 0, -96, -162, 0, -24, 110, 0, 192, -2, 0, -87, 96, 0, 32, 46, 0, -18, -129, 0, -62, -23, 0, 12, -16, 0, -62, 12, 0, 9, -162, 0, 74, -8, 0, -48, 56, 0, 168, 1, 0, 3, -34, 0, -17, 74, 0, -18, 107, 0], 'weight': 2, '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], [-0.7071067811865476, 0.0], [0.0, 0.0], [0.5, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [1.7045161915066613, 0.0], [-0.3535533905932738, 0.0], [0.0, 0.0], [-0.31622776601683794, 0.0], [-1.3078440896818495, 0.0], [0.0, 0.0], [-1.0340519709187819, 0.0], [-1.2052749576566282, 0.0], [0.0, 0.0], [0.25, 0.0], [-0.2714038341810085, 0.0], [0.0, 0.0], [1.034602088009497, 0.0], [0.22360679774997896, 0.0], [0.0, 0.0], [0.924785424548783, 0.0], [0.20851441405707477, 0.0], [0.0, 0.0], [0.2, 0.0], [0.7311851607359853, 0.0], [0.0, 0.0], [0.8522580957533307, 0.0], [1.5297681029441663, 0.0], [0.0, 0.0], [0.31041676515271555, 0.0], [-0.1767766952966369, 0.0], [0.0, 0.0], [0.19191149158942042, 0.0], [0.7622828145915889, 0.0], [0.0, 0.0], [-0.128461129606024, 0.0], [-0.7315741522612766, 0.0], [0.0, 0.0], [-0.15811388300841897, 0.0], [-0.6091440797745618, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [-0.6539220448409248, 0.0], [0.0, 0.0], [-0.14744195615489714, 0.0], [1.671124855767141, 0.0], [0.0, 0.0], [1.9053754471083733, 0.0], [-0.1414213562373095, 0.0], [0.0, 0.0], [-0.5170259854593909, 0.0], [0.8241633836921342, 0.0], [0.0, 0.0], [-0.5848856576999893, 0.0], [-0.6026374788283141, 0.0], [0.0, 0.0], [-1.0817093992347007, 0.0], [0.29136972849042225, 0.0], [0.0, 0.0], [0.4553285402593076, 0.0], [-0.21949779963347715, 0.0], [0.0, 0.0], [0.125, 0.0], [-0.4624420998484064, 0.0], [0.0, 0.0], [0.29775172511078746, 0.0], [-0.13570191709050425, 0.0], [0.0, 0.0], [-0.5390153473796802, 0.0], [-0.8448730282706925, 0.0], [0.0, 0.0], [-1.1068177270483024, 0.0], [0.09083573586330353, 0.0], [0.0, 0.0], [0.5173010440047485, 0.0], [-2.2292414268290024, 0.0], [0.0, 0.0], [-1.6778784205615047, 0.0], [0.11180339887498948, 0.0], [0.0, 0.0], [0.43072990952823187, 0.0], [-0.3052981531125492, 0.0], [0.0, 0.0], [-0.1213754845165632, 0.0], [-0.8626621856275073, 0.0], [0.0, 0.0], [0.4623927122743915, 0.0], [0.8156374332984199, 0.0], [0.0, 0.0], [-1.762558327290439, 0.0], [0.10425720702853739, 0.0], [0.0, 0.0], [-1.1816637177223366, 0.0], [0.4626881196904911, 0.0], [0.0, 0.0], [-0.06527863295020829, 0.0], [-1.3473038993566806, 0.0], [0.0, 0.0], [0.1, 0.0]], 'angles': [None, None, None, -0.08761631012801221, -0.363438789272854, -0.3364804752050374, -0.2716644730576321, -0.1634683767495064, None, -0.111398117155155, -0.2251975501252415, -0.2602296539765818, -0.299256718503411, -0.1455858625861807, -0.09257097910348305, -0.18240091478658807, -0.22673072176637518, -0.21344556538091267, -0.22621725895487743, -0.319412529593815, -0.34333664177628287, -0.40841186609391245, -0.27439021045997886, -0.183144768187089, -0.2551956313407329, -0.182789042763159, -0.14601984088864306, -0.11009338556362255, -0.2613687422957015, -0.20446521473691823, -0.2547689402881506, -0.14793027195813055, -0.30211544881107194, -0.2182330400335015, -0.29989795451001355, -0.34144906670723707, -0.13780933921366406, -0.2705707680175399, -0.4234498660810323, -0.2534832449353351, -0.2800331201759584, -0.3204751163901684, -0.13162805096802388, -0.08961439633257354, -0.13818765359705354, -0.40422687952335, -0.2261114270597363, -0.18141273468031904, -0.3386690315339154, -0.2687789654651794, -0.07154655845680694, -0.3026285303795229, -0.3881754034991108, -0.31422624594811815, -0.27721881243808794, -0.25067951047917625, -0.32382196896469945, -0.29061253299467166, -0.18659290516157764, -0.2627134768043918, -0.24648742533871867, -0.22196139511803706, -0.0818640238093345, -0.27520695212449137, -0.23164116704138815, -0.22230348206029102, -0.11303895192235852, -0.328693983528321, -0.2709113519886224, -0.13876441945088286, -0.18766382355202663, -0.37491613420348746, -0.33973534366897423, -0.2660714153396819, -0.39243343012239923, -0.25, -0.17147657631303137, -0.3772623065883079, -0.2988732034575641, -0.142491811115647, -0.18034550924957282, -0.16258419509406033, -0.3415215910096163, -0.24612118733032973, -0.3601812230161309, -0.28896955475059116, -0.43399494444020065, -0.09768030066515705, -0.3122467105114082, -0.13121726136193773, -0.3449265845908908, -0.34501946266566885, -0.3701226118749607, -0.2948766040639463, -0.3528949050801484, -0.32558129103734684, -0.09873499341754571, -0.23283722721901734, -0.25119770193717894, -0.2710403574328481], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -3.119026675525919, 'hecke_orbit': 26, 'hecke_orbit_code': 112589990717818902, 'label': '2070.2.a.z.1.3', 'level': 2070, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': [2, 1, 1, 2, 4, 2, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [19, 29, 29, 22, 25, 22, 23, 22, 26, 23, 25, 24, 25, 21, 20, 28], 'Nk2': 8280, 'analytic_conductor': 16.52903321840504, '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': [2070, 1, [461, 1657, 1891], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 417, 'dim': 34, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17, 29], 'hecke_orbit_code': 33556502, 'hecke_orbit_dims': [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, 3], 'label': '2070.2.a', 'level': 2070, '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': [2, 3, 5, 23], 'level_radical': 690, 'mf_dim': 448, 'mf_new_dim': 34, 'num_forms': 26, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 34, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [-2, 0, 0, 0], 'traces': [34, -2, 0, 34, 0, 0, 0, -2, 0, 0, -12, 0, 4, 8, 0, 34, 4, 0, 12, 0, 0, 20, 0, 0, 34, 0, 0, 0, 4, 0, -12, -2, 0, 12, 0, 0, -32, 4, 0, 0, 8, 0, -12, -12, 0, 0, 24, 0, 46, -2, 0, 4, 32, 0, 0, 8, 0, 4, 24, 0, 24, 0, 0, 34, -8, 0, 44, 4, 0, 4, -20, 0, 28, 32, 0, 12, 56, 0, 24, 0, 0, 20, 20, 0, 32, -4, 0, 20, 20, 0, 32, 0, 0, -8, 8, 0, -4, -18, 0, 34, -28, 0, -8, 0, 0, -8, 4, 0, 8, -4, 0, 0, -28, 0, 2, 4, 0, 32, 32, 0, 22, 48, 0, -12, 0, 0, -56, -2, 0, -16, -24, 0, -8, 28, 0, 12, 52, 0, -32, 0, 0, -16, 8, 0, -16, 4, 0, -32, 0, 0, 36, 4, 0, 8, -32, 0, -16, 8, 0, 0, 4, 0, -56, 8, 0, 36, 16, 0, -38, -4, 0, -12, -4, 0, 0, -12, 0, 20, 40, 0, -56, 8, 0, 0, -12, 0, 16, 24, 0, -12, 8, 0, 36, 4, 0, 46, 44, 0, -40, -2, 0, 4, 48, 0, -32, -40, 0, 4, 16, 0, 56, 32, 0, -44, 12, 0, -40, 64, 0, 0, -40, 0, -16, 8, 0, 12, 44, 0, -152, -10, 0, 4, -20, 0, -8, 24, 0, 8, 32, 0, -20, -26, 0, 24, 16, 0, -48, 0, 0, 0, -60, 0, -12, 0, 0, 34, -76, 0, -72, -8, 0, 32, 56, 0, -4, -44, 0, 44, -108, 0, -68, 4, 0, 28, -12, 0, -20, -40, 0, 4, -28, 0, 4, -20, 0, -32, -128, 0, 18, 24, 0, 28, -96, 0, 8, 32, 0, -8, 16, 0, -64, 56, 0, 12, -40, 0, -24, 56, 0, -40, -16, 0, -68, -96, 0, 24, -28, 0, 120, 0, 0, 8, -88, 0, 4, 36, 0, 20, 0, 0, 80, 20, 0, -104, 20, 0, -12, -62, 0, 32, -48, 0, 48, -4, 0, -32, 24, 0, -76, 8, 0, 20, -52, 0, -32, 20, 0, 72, -120, 0, -10, 16, 0, 32, -16, 0, -24, 0, 0, 4, 64, 0, 32, 20, 0, -8, -240, 0, -60, 8, 0, -72, 80, 0, -16, -108, 0, -4, -24, 0, 4, -18, 0, -72, 0, 0, -36, -8, 0, 34, -92, 0, 56, -28, 0, 24, 128, 0, -64, -32, 0, -8, -96, 0, 20, 0, 0, -16, -84, 0, 48, -32, 0, -8, 4, 0, -64, 4, 0, -4, 0, 0, -20, 56, 0, 8, -20, 0, -20, -4, 0, -104, -8, 0, -32, 24, 0, 0, -48, 0, 48, -28, 0, -76, -28, 0, -140, -72, 0, 2, 52, 0, -64, 4, 0, -68, -76, 0, -96, 48, 0, 32, 120, 0, 12, 32, 0, -104, 136, 0, -104, -76, 0, 22, -8, 0, 136, 48, 0, 16, 136, 0, -88, 64, 0, -12, 112, 0, 96, 0, 0, -52, -176, 0, 8, 0, 0, -56, -100, 0, 48, -2, 0, 4, -40, 0, 64, 16, 0, -16, 4, 0, 76, -24, 0, -72, 48, 0, 34, -36, 0, -8, 144, 0, -36, 28, 0, -164, -196, 0, -108, -24, 0, 12, 24, 0, 64, 52, 0, 20, 192, 0, 40, -60, 0, -32, -24, 0, 152, 0, 0, 84, -20, 0, -72, -52, 0, -16, -4, 0, -108, 8, 0, 24, 0, 0, 44, -86, 0, -16, -32, 0, 72, 4, 0, -80, 16, 0, 48, 32, 0, -32, 52, 0, -8, 0, 0, 8, 124, 0, -16, -80, 0, 36, 32, 0, 0, 4, 0, -36, -48, 0, -312, -12, 0, 8, -180, 0, -28, -32, 0, 104, 72, 0, 34, 36, 0, -16, -96, 0, -112, 8, 0, -88, 72, 0, -148, 40, 0, 0, 124, 0, -60, 4, 0, 96, 8, 0, -240, 0, 0, -56, 12, 0, 48, 8, 0, 48, 140, 0, -168, -152, 0, 36, 80, 0, -8, 16, 0, -36, -196, 0, 108, -36, 0, -38, 112, 0, 96, -4, 0, -32, -128, 0, -24, 136, 0, -12, 104, 0, -144, -4, 0, 84, 64, 0, 112, -140, 0, 0, -40, 0, 104, -12, 0, -68, 64, 0, 96, 16, 0, 20, 8, 0, 56, 40, 0, 88, -4, 0, 0, 38, 0, -56, 4, 0, 80, 8, 0, -24, 160, 0, -32, 8, 0, 0, -128, 0, 112, -12, 0, 48, 8, 0, -24, -144, 0, 16, 120, 0, -16, 24, 0, 80, -72, 0, 184, 4, 0, -12, 56, 0, -216, 8, 0, -112, 120, 0, 124, 16, 0, 36, -72, 0, -12, 4, 0, -48, -176, 0, 32, -16, 0, 46, 60, 0, 276, 44, 0, 16, 152, 0, 48, 64, 0, -40, -24, 0, 104, -2, 0, -84, 168, 0, 8, 100, 0, 4, 16, 0, 8, 48, 0, 24, 56, 0, 80, -228, 0, -32, 196, 0, 128, -40, 0, -56, -76, 0, -100, 20, 0, 4, -52, 0, -8, 16, 0, -44, 160, 0, -50, 24, 0, 56, 48, 0, 152, 32, 0, 12, 20, 0, 100, -24, 0, -44, -4, 0, 48, 12, 0, 72, -8, 0, -32, -188, 0, -40, 296, 0, -16, 64, 0, -8, 0, 0, -252, 8, 0, 0, -164, 0, 112, -40, 0, 132, -32, 0, 184, 24, 0, -16, 48, 0, 40, 8, 0, 68, 8, 0, 24, 80, 0, 12, -56, 0, 148, 44, 0, -24, 64, 0, 24, -4, 0, -152, 16, 0, 208, -10, 0, -84, 112, 0, -32, 40, 0, 4, 212, 0, 180, -20, 0, 44, 56, 0, -12, 88, 0, -8, 32, 0, -32, 24, 0, 88, -8, 0, 208, 4, 0, 8, -12, 0, -40, 32, 0, 144, -236, 0, -34, -96, 0, -20, -32, 0, 192, -26, 0, 44, -236, 0, -144, 32, 0, 24, -108, 0, -40, 16, 0, -40, -128, 0, 0, -24, 0, -48, 28, 0, 220, 0, 0, -64, -24, 0, 76, 176, 0, 0], 'weight': 2, '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: 48563021
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112589990717818902, 'target_is_minimal': False, 'target_label': '2070.2.a.z.1.3', 'target_level': 2070, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48563022
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666150, 'target_is_minimal': True, 'target_label': '230.2.a.d.1.1', 'target_level': 230, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48563023
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 76561193698854704, 'target_is_minimal': False, 'target_label': '1840.2.a.r.1.3', 'target_level': 1840, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48563024
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 599, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 40532465399366782, 'target_is_minimal': False, 'target_label': '1150.2.b.j.599.6', 'target_level': 1150, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48563025
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 599, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532465399366782, 'target_is_minimal': False, 'target_label': '1150.2.b.j.599.1', 'target_level': 1150, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 48563026
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057594071483518, 'target_is_minimal': False, 'target_label': '1150.2.a.q.1.3', 'target_level': 1150, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48563027
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 229683581029457088, 'target_is_minimal': False, 'target_label': '7360.2.a.bz.1.3', 'target_level': 7360, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48563028
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 252201579166309568, 'target_is_minimal': False, 'target_label': '7360.2.a.ce.1.1', 'target_level': 7360, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48563029
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 256705178793681904, 'target_is_minimal': False, 'target_label': '9200.2.a.cf.1.1', 'target_level': 9200, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48563030
    {'conductor': 69, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990717818902, 'source_is_minimal': False, 'source_label': '2070.2.a.z.1.3', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193698858154, 'target_is_minimal': False, 'target_label': '5290.2.a.r.1.1', 'target_level': 5290, 'twist_class_label': '230.2.a.d.1.1', 'twist_class_level': 230, 'twisting_char_label': '69.68', 'twisting_conrey_index': 68, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2404350
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 112589990717818902, 'p': 2}
  • id: 2404351
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 112589990717818902, 'p': 3}
  • id: 2404352
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 112589990717818902, 'p': 5}
  • id: 2404353
    {'charpoly_factorization': [[[64, -21, -3, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 7}
  • id: 2404354
    {'charpoly_factorization': [[[-144, -39, 3, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 11}
  • id: 2404355
    {'charpoly_factorization': [[[-18, -15, 1, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 13}
  • id: 2404356
    {'charpoly_factorization': [[[18, 7, -7, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 17}
  • id: 2404357
    {'charpoly_factorization': [[[64, -21, -3, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 19}
  • id: 2404358
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 112589990717818902, 'p': 23}
  • id: 2404359
    {'charpoly_factorization': [[[-24, -32, -4, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 29}
  • id: 2404360
    {'charpoly_factorization': [[[-8, -7, 5, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 31}
  • id: 2404361
    {'charpoly_factorization': [[[-32, -40, 2, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 37}
  • id: 2404362
    {'charpoly_factorization': [[[-186, -59, 1, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 41}
  • id: 2404363
    {'charpoly_factorization': [[[-8, 1], 3]], 'hecke_orbit_code': 112589990717818902, 'p': 43}
  • id: 2404364
    {'charpoly_factorization': [[[288, 4, -14, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 47}
  • id: 2404365
    {'charpoly_factorization': [[[-6, 1], 3]], 'hecke_orbit_code': 112589990717818902, 'p': 53}
  • id: 2404366
    {'charpoly_factorization': [[[-144, 28, 14, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 59}
  • id: 2404367
    {'charpoly_factorization': [[[526, -157, -1, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 61}
  • id: 2404368
    {'charpoly_factorization': [[[384, -144, -8, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 67}
  • id: 2404369
    {'charpoly_factorization': [[[24, 31, 11, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 71}
  • id: 2404370
    {'charpoly_factorization': [[[-248, -40, 8, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 73}
  • id: 2404371
    {'charpoly_factorization': [[[-1152, -240, 4, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 79}
  • id: 2404372
    {'charpoly_factorization': [[[-96, -20, 8, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 83}
  • id: 2404373
    {'charpoly_factorization': [[[-1152, -48, 18, 1], 1]], 'hecke_orbit_code': 112589990717818902, 'p': 89}
  • id: 2404374
    {'charpoly_factorization': [[[166, 279, 33, 1], 1]], 'hecke_orbit_code': 112589990717818902, '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': 26, 'label': '2070.2.a.z', 'level': 2070, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 66727033
    {'hecke_orbit_code': 112589990717818902, 'n': 1, 'trace_an': 3}
  • id: 66727034
    {'hecke_orbit_code': 112589990717818902, 'n': 2, 'trace_an': -3}
  • id: 66727035
    {'hecke_orbit_code': 112589990717818902, 'n': 3, 'trace_an': 0}
  • id: 66727036
    {'hecke_orbit_code': 112589990717818902, 'n': 4, 'trace_an': 3}
  • id: 66727037
    {'hecke_orbit_code': 112589990717818902, 'n': 5, 'trace_an': 3}
  • id: 66727038
    {'hecke_orbit_code': 112589990717818902, 'n': 6, 'trace_an': 0}
  • id: 66727039
    {'hecke_orbit_code': 112589990717818902, 'n': 7, 'trace_an': 3}
  • id: 66727040
    {'hecke_orbit_code': 112589990717818902, 'n': 8, 'trace_an': -3}
  • id: 66727041
    {'hecke_orbit_code': 112589990717818902, 'n': 9, 'trace_an': 0}
  • id: 66727042
    {'hecke_orbit_code': 112589990717818902, 'n': 10, 'trace_an': -3}
  • id: 66727043
    {'hecke_orbit_code': 112589990717818902, 'n': 11, 'trace_an': -3}
  • id: 66727044
    {'hecke_orbit_code': 112589990717818902, 'n': 12, 'trace_an': 0}
  • id: 66727045
    {'hecke_orbit_code': 112589990717818902, 'n': 13, 'trace_an': -1}
  • id: 66727046
    {'hecke_orbit_code': 112589990717818902, 'n': 14, 'trace_an': -3}
  • id: 66727047
    {'hecke_orbit_code': 112589990717818902, 'n': 15, 'trace_an': 0}
  • id: 66727048
    {'hecke_orbit_code': 112589990717818902, 'n': 16, 'trace_an': 3}
  • id: 66727049
    {'hecke_orbit_code': 112589990717818902, 'n': 17, 'trace_an': 7}
  • id: 66727050
    {'hecke_orbit_code': 112589990717818902, 'n': 18, 'trace_an': 0}
  • id: 66727051
    {'hecke_orbit_code': 112589990717818902, 'n': 19, 'trace_an': 3}
  • id: 66727052
    {'hecke_orbit_code': 112589990717818902, 'n': 20, 'trace_an': 3}
  • id: 66727053
    {'hecke_orbit_code': 112589990717818902, 'n': 21, 'trace_an': 0}
  • id: 66727054
    {'hecke_orbit_code': 112589990717818902, 'n': 22, 'trace_an': 3}
  • id: 66727055
    {'hecke_orbit_code': 112589990717818902, 'n': 23, 'trace_an': 3}
  • id: 66727056
    {'hecke_orbit_code': 112589990717818902, 'n': 24, 'trace_an': 0}
  • id: 66727057
    {'hecke_orbit_code': 112589990717818902, 'n': 25, 'trace_an': 3}
  • id: 66727058
    {'hecke_orbit_code': 112589990717818902, 'n': 26, 'trace_an': 1}
  • id: 66727059
    {'hecke_orbit_code': 112589990717818902, 'n': 27, 'trace_an': 0}
  • id: 66727060
    {'hecke_orbit_code': 112589990717818902, 'n': 28, 'trace_an': 3}
  • id: 66727061
    {'hecke_orbit_code': 112589990717818902, 'n': 29, 'trace_an': 4}
  • id: 66727062
    {'hecke_orbit_code': 112589990717818902, 'n': 30, 'trace_an': 0}
  • id: 66727063
    {'hecke_orbit_code': 112589990717818902, 'n': 31, 'trace_an': -5}
  • id: 66727064
    {'hecke_orbit_code': 112589990717818902, 'n': 32, 'trace_an': -3}
  • id: 66727065
    {'hecke_orbit_code': 112589990717818902, 'n': 33, 'trace_an': 0}
  • id: 66727066
    {'hecke_orbit_code': 112589990717818902, 'n': 34, 'trace_an': -7}
  • id: 66727067
    {'hecke_orbit_code': 112589990717818902, 'n': 35, 'trace_an': 3}
  • id: 66727068
    {'hecke_orbit_code': 112589990717818902, 'n': 36, 'trace_an': 0}
  • id: 66727069
    {'hecke_orbit_code': 112589990717818902, 'n': 37, 'trace_an': -2}
  • id: 66727070
    {'hecke_orbit_code': 112589990717818902, 'n': 38, 'trace_an': -3}
  • id: 66727071
    {'hecke_orbit_code': 112589990717818902, 'n': 39, 'trace_an': 0}
  • id: 66727072
    {'hecke_orbit_code': 112589990717818902, 'n': 40, 'trace_an': -3}
  • id: 66727073
    {'hecke_orbit_code': 112589990717818902, 'n': 41, 'trace_an': -1}
  • id: 66727074
    {'hecke_orbit_code': 112589990717818902, 'n': 42, 'trace_an': 0}
  • id: 66727075
    {'hecke_orbit_code': 112589990717818902, 'n': 43, 'trace_an': 24}
  • id: 66727076
    {'hecke_orbit_code': 112589990717818902, 'n': 44, 'trace_an': -3}
  • id: 66727077
    {'hecke_orbit_code': 112589990717818902, 'n': 45, 'trace_an': 0}
  • id: 66727078
    {'hecke_orbit_code': 112589990717818902, 'n': 46, 'trace_an': -3}
  • id: 66727079
    {'hecke_orbit_code': 112589990717818902, 'n': 47, 'trace_an': 14}
  • id: 66727080
    {'hecke_orbit_code': 112589990717818902, 'n': 48, 'trace_an': 0}
  • id: 66727081
    {'hecke_orbit_code': 112589990717818902, 'n': 49, 'trace_an': 30}
  • id: 66727082
    {'hecke_orbit_code': 112589990717818902, 'n': 50, 'trace_an': -3}
  • id: 66727083
    {'hecke_orbit_code': 112589990717818902, 'n': 51, 'trace_an': 0}
  • id: 66727084
    {'hecke_orbit_code': 112589990717818902, 'n': 52, 'trace_an': -1}
  • id: 66727085
    {'hecke_orbit_code': 112589990717818902, 'n': 53, 'trace_an': 18}
  • id: 66727086
    {'hecke_orbit_code': 112589990717818902, 'n': 54, 'trace_an': 0}
  • id: 66727087
    {'hecke_orbit_code': 112589990717818902, 'n': 55, 'trace_an': -3}
  • id: 66727088
    {'hecke_orbit_code': 112589990717818902, 'n': 56, 'trace_an': -3}
  • id: 66727089
    {'hecke_orbit_code': 112589990717818902, 'n': 57, 'trace_an': 0}
  • id: 66727090
    {'hecke_orbit_code': 112589990717818902, 'n': 58, 'trace_an': -4}
  • id: 66727091
    {'hecke_orbit_code': 112589990717818902, 'n': 59, 'trace_an': -14}
  • id: 66727092
    {'hecke_orbit_code': 112589990717818902, 'n': 60, 'trace_an': 0}
  • id: 66727093
    {'hecke_orbit_code': 112589990717818902, 'n': 61, 'trace_an': 1}
  • id: 66727094
    {'hecke_orbit_code': 112589990717818902, 'n': 62, 'trace_an': 5}
  • id: 66727095
    {'hecke_orbit_code': 112589990717818902, 'n': 63, 'trace_an': 0}
  • id: 66727096
    {'hecke_orbit_code': 112589990717818902, 'n': 64, 'trace_an': 3}
  • id: 66727097
    {'hecke_orbit_code': 112589990717818902, 'n': 65, 'trace_an': -1}
  • id: 66727098
    {'hecke_orbit_code': 112589990717818902, 'n': 66, 'trace_an': 0}
  • id: 66727099
    {'hecke_orbit_code': 112589990717818902, 'n': 67, 'trace_an': 8}
  • id: 66727100
    {'hecke_orbit_code': 112589990717818902, 'n': 68, 'trace_an': 7}
  • id: 66727101
    {'hecke_orbit_code': 112589990717818902, 'n': 69, 'trace_an': 0}
  • id: 66727102
    {'hecke_orbit_code': 112589990717818902, 'n': 70, 'trace_an': -3}
  • id: 66727103
    {'hecke_orbit_code': 112589990717818902, 'n': 71, 'trace_an': -11}
  • id: 66727104
    {'hecke_orbit_code': 112589990717818902, 'n': 72, 'trace_an': 0}
  • id: 66727105
    {'hecke_orbit_code': 112589990717818902, 'n': 73, 'trace_an': -8}
  • id: 66727106
    {'hecke_orbit_code': 112589990717818902, 'n': 74, 'trace_an': 2}
  • id: 66727107
    {'hecke_orbit_code': 112589990717818902, 'n': 75, 'trace_an': 0}
  • id: 66727108
    {'hecke_orbit_code': 112589990717818902, 'n': 76, 'trace_an': 3}
  • id: 66727109
    {'hecke_orbit_code': 112589990717818902, 'n': 77, 'trace_an': 24}
  • id: 66727110
    {'hecke_orbit_code': 112589990717818902, 'n': 78, 'trace_an': 0}
  • id: 66727111
    {'hecke_orbit_code': 112589990717818902, 'n': 79, 'trace_an': -4}
  • id: 66727112
    {'hecke_orbit_code': 112589990717818902, 'n': 80, 'trace_an': 3}
  • id: 66727113
    {'hecke_orbit_code': 112589990717818902, 'n': 81, 'trace_an': 0}
  • id: 66727114
    {'hecke_orbit_code': 112589990717818902, 'n': 82, 'trace_an': 1}
  • id: 66727115
    {'hecke_orbit_code': 112589990717818902, 'n': 83, 'trace_an': -8}
  • id: 66727116
    {'hecke_orbit_code': 112589990717818902, 'n': 84, 'trace_an': 0}
  • id: 66727117
    {'hecke_orbit_code': 112589990717818902, 'n': 85, 'trace_an': 7}
  • id: 66727118
    {'hecke_orbit_code': 112589990717818902, 'n': 86, 'trace_an': -24}
  • id: 66727119
    {'hecke_orbit_code': 112589990717818902, 'n': 87, 'trace_an': 0}
  • id: 66727120
    {'hecke_orbit_code': 112589990717818902, 'n': 88, 'trace_an': 3}
  • id: 66727121
    {'hecke_orbit_code': 112589990717818902, 'n': 89, 'trace_an': -18}
  • id: 66727122
    {'hecke_orbit_code': 112589990717818902, 'n': 90, 'trace_an': 0}
  • id: 66727123
    {'hecke_orbit_code': 112589990717818902, 'n': 91, 'trace_an': 1}
  • id: 66727124
    {'hecke_orbit_code': 112589990717818902, 'n': 92, 'trace_an': 3}
  • id: 66727125
    {'hecke_orbit_code': 112589990717818902, 'n': 93, 'trace_an': 0}
  • id: 66727126
    {'hecke_orbit_code': 112589990717818902, 'n': 94, 'trace_an': -14}
  • id: 66727127
    {'hecke_orbit_code': 112589990717818902, 'n': 95, 'trace_an': 3}
  • id: 66727128
    {'hecke_orbit_code': 112589990717818902, 'n': 96, 'trace_an': 0}
  • id: 66727129
    {'hecke_orbit_code': 112589990717818902, 'n': 97, 'trace_an': -33}
  • id: 66727130
    {'hecke_orbit_code': 112589990717818902, 'n': 98, 'trace_an': -30}
  • id: 66727131
    {'hecke_orbit_code': 112589990717818902, 'n': 99, 'trace_an': 0}
  • id: 66727132
    {'hecke_orbit_code': 112589990717818902, 'n': 100, 'trace_an': 3}