Embedded newform data - 855.2.c.a.514.1

Formats: - HTML - YAML - JSON - 2026-09-22T10:52:18.765807

• 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': 3420, 'analytic_conductor': 6.827209372819473, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [855, 2, [191, 172, 496], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 514, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [1, 0, 1]], [11, [2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 137472508759, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '855.2.c.a', 'level': 855, '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, 19], 'level_radical': 285, 'minimal_twist': '855.2.c.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+i q^{2}+q^{4}+(-i-2)q^{5}+2 i q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '855.2.c', 'trace_display': [0, 0, -4, 0], 'trace_hash': 1478902273872055257, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.041', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.995', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.579', 'prec': 10}, {'__RealLiteral__': 0, 'data': '15.813', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.671', 'prec': 14}, {'__RealLiteral__': 0, 'data': '153.691', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.519', 'prec': 10}, 'traces': [2, 0, 0, 2, -4, 0, 0, 0, 0, 2, -4, 0, 0, -4, 0, -2, 0, 0, -2, -4, 0, 0, 0, 0, 6, -4, 0, 0, -12, 0, -8, 0, 0, -4, 4, 0, 0, 0, 0, 6, -4, 0, 0, -4, 0, 0, 0, 0, 6, -8, 0, 0, 0, 0, 8, -12, 0, 0, 0, 0, -20, 0, 0, -14, 4, 0, 0, 0, 0, 8, 16, 0, 0, -4, 0, -2, 0, 0, 16, 4, 0, 0, 0, 0, 4, -20, 0, 0, 20, 0, -8, 0, 0, 0, 4, 0, 0, 0, 0, 6, 0, 0, 0, -12, 0, -20, 0, 0, 12, -4, 0, 0, 0, 0, 0, -12, 0, 0, -8, 0, -14, 0, 0, -8, -4, 0, 0, 0, 0, 8, 36, 0, 0, 8, 0, -12, 0, 0, 8, 4, 0, 0, 0, 0, 24, 8, 0, 0, 16, 0, -24, 0, 0, 8, 16, 0, 0, 0, 0, 10, 0, 0, 0, -4, 0, -24, 0, 0, 18, 8, 0, 0, 0, 0, -16, 4, 0, 0, 48, 0, -12, 0, 0, 0, 4, 0, 0, 0, 0, -2, 36, 0, 0, 36, 0, 6, 0, 0, 16, -24, 0, 0, 0, 0, 8, 32, 0, 0, 4, 0, -8, 0, 0, 16, 20, 0, 0, 0, 0, 8, -8, 0, 0, -20, 0, 12, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -28, 0, 0, -20, -12, 0, 0, 0, 0, 22, 28, 0, 0, -24, 0, -34, 0, 0, -8, 4, 0, 0, 0, 0, 20, 4, 0, 0, -12, 0, 0, 0, 0, 12, -12, 0, 0, 0, 0, 24, -44, 0, 0, 16, 0, 8, 0, 0, 26, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, -40, 0, 0, 2, 40, 0, 0, 0, 0, -8, -12, 0, 0, -32, 0, 16, 0, 0, 24, 28, 0, 0, 0, 0, -16, -28, 0, 0, 0, 0, -32, 0, 0, 0, -8, 0, 0, 0, 0, 4, 16, 0, 0, -60, 0, -12, 0, 0, -4, -12, 0, 0, 0, 0, -32, 20, 0, 0, 44, 0, 2, 0, 0, -8, -8, 0, 0, 0, 0, 8, -40, 0, 0, 8, 0, 0, 0, 0, -32, 4, 0, 0, 0, 0, -8, 20, 0, 0, -72, 0, 0, 0, 0, 12, -32, 0, 0, 0, 0, -6, -60, 0, 0, 0, 0, 24, 0, 0, -44, -4, 0, 0, 0, 0, 24, -20, 0, 0, 36, 0, -36, 0, 0, -60, -16, 0, 0, 0, 0, 40, -24, 0, 0, 16, 0, 12, 0, 0, 32, -12, 0, 0, 0, 0, -40, -16, 0, 0, 20, 0, 8, 0, 0, -8, 16, 0, 0, 0, 0, 0, -64, 0, 0, 12, 0, 28, 0, 0, 16, 0, 0, 0, 0, 0, -6, -8, 0, 0, -36, 0, -8, 0, 0, -14, -36, 0, 0, 0, 0, 6, 52, 0, 0, 4, 0, 8, 0, 0, 40, -4, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 16, 0, 0, -60, -32, 0, 0, 0, 0, 24, 84, 0, 0, 36, 0, 48, 0, 0, 46, 40, 0, 0, 0, 0, -16, 24, 0, 0, -12, 0, 4, 0, 0, -20, -24, 0, 0, 0, 0, 16, 12, 0, 0, -16, 0, 8, 0, 0, -40, -4, 0, 0, 0, 0, -12, -44, 0, 0, -12, 0, 56, 0, 0, 8, 0, 0, 0, 0, 0, 24, -48, 0, 0, 24, 0, 4, 0, 0, 8, 0, 0, 0, 0, 0, 16, 16, 0, 0, -72, 0, -20, 0, 0, -24, 28, 0, 0, 0, 0, -20, 0, 0, 0, 40, 0, 24, 0, 0, 40, 16, 0, 0, 0, 0, -14, 48, 0, 0, -8, 0, -16, 0, 0, -28, 24, 0, 0, 0, 0, 6, -36, 0, 0, 0, 0, 4, 0, 0, 0, -12, 0, 0, 0, 0, -72, 4, 0, 0, 40, 0, 36, 0, 0, -72, -4, 0, 0, 0, 0, -16, 40, 0, 0, -44, 0, 18, 0, 0, 72, 24, 0, 0, 0, 0, -12, -40, 0, 0, -40, 0, 72, 0, 0, -72, -16, 0, 0, 0, 0, -16, 48, 0, 0, 28, 0, -68, 0, 0, -20, 16, 0, 0, 0, 0, -8, 48, 0, 0, 84, 0, 64, 0, 0, -12, -36, 0, 0, 0, 0, -16, -40, 0, 0, 68, 0, 0, 0, 0, -56, 4, 0, 0, 0, 0, -32, -36, 0, 0, 32, 0, 88, 0, 0, 24, 48, 0, 0, 0, 0, -6, 24, 0, 0, 36, 0, 72, 0, 0, 68, -16, 0, 0, 0, 0, -24, 108, 0, 0, 4, 0, -32, 0, 0, -6, 32, 0, 0, 0, 0, 16, 24, 0, 0, 16, 0, 16, 0, 0, 0, -40, 0, 0, 0, 0, 0, 16, 0, 0, -80, 0, 24, 0, 0, 8, 28, 0, 0, 0, 0, 8, -48, 0, 0, 96, 0, 0, 0, 0, -52, 48, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 14, 0, 0, -8, -36, 0, 0, 0, 0, -12, 0, 0, 0, 40, 0, 48, 0, 0, 88, 20, 0, 0, 0, 0, 12, 52, 0, 0, -32, 0, 16, 0, 0, 0, 44, 0, 0, 0, 0, -8, -8, 0, 0, -8, 0, -8, 0, 0, -48, 20, 0, 0, 0, 0, -96, -12, 0, 0, 48, 0, -40, 0, 0, 36, 24, 0, 0, 0, 0, -8, 32, 0, 0, -80, 0, 44, 0, 0, -80, 0, 0, 0, 0, 0, -16, 28, 0, 0, 96, 0, -6, 0, 0, 8, -8, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 40, 0, 0, 16, 8, 0, 0, 0, 0, -72, 4, 0, 0, 24, 0, -30, 0, 0, -28, -20, 0, 0, 0, 0, -72, 24, 0, 0, -32, 0, 20, 0, 0, -40, -12, 0, 0, 0, 0, -12, 24, 0, 0, 0, 0, 64, 0, 0, -32, -32, 0, 0, 0, 0, 66], '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], [0.0, -0.7071067811865476], [0.0, 0.0], [0.5, 0.0], [-0.8944271909999159, 0.4472135954999579], [0.0, 0.0], [0.0, -0.7559289460184545], [0.0, -1.0606601717798212], [0.0, 0.0], [0.31622776601683794, 0.6324555320336759], [-0.6030226891555273, 0.0], [0.0, 0.0], [0.0, -0.5547001962252291], [-0.5345224838248488, 0.0], [0.0, 0.0], [-0.25, 0.0], [0.0, -0.48507125007266594], [0.0, 0.0], [-0.22941573387056177, 0.0], [-0.4472135954999579, 0.22360679774997896], [0.0, 0.0], [0.0, 0.4264014327112209], [0.0, 0.0], [0.0, 0.0], [0.6, -0.8], [-0.3922322702763681, 0.0], [0.0, 0.0], [0.0, -0.37796447300922725], [-1.1141720290623112, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [0.0, -0.8838834764831844], [0.0, 0.0], [-0.3429971702850177, 0.0], [0.3380617018914066, 0.6761234037828132], [0.0, 0.0], [0.0, -0.3287979746107146], [0.0, 0.16222142113076254], [0.0, 0.0], [0.4743416490252569, 0.9486832980505138], [-0.31234752377721214, 0.0], [0.0, 0.0], [0.0, -1.5249857033260468], [-0.30151134457776363, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.42857142857142855, 0.0], [-0.565685424949238, -0.4242640687119285], [0.0, 0.0], [0.0, -0.2773500981126146], [0.0, -1.3736056394868903], [0.0, 0.0], [0.5393598899705937, -0.26967994498529685], [-0.8017837257372732, 0.0], [0.0, 0.0], [0.0, 0.7878385971583354], [0.0, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], [0.0, 0.508000508000762], [0.0, 0.0], [-0.875, 0.0], [0.2480694691784169, 0.4961389383568338], [0.0, 0.0], [0.0, 0.4886777774252209], [0.0, -0.24253562503633297], [0.0, 0.0], [0.47809144373375745, -0.23904572186687872], [0.9494253265550827, 0.0], [0.0, 0.0], [0.0, 0.4681645887845223], [-0.23249527748763857, 0.0], [0.0, 0.0], [-0.11470786693528089, 0.0], [0.0, 0.4558423058385518], [0.0, 0.0], [0.9000703207408192, 0.0], [0.22360679774997896, -0.11180339887498948], [0.0, 0.0], [0.0, 0.2208630521496931], [0.0, -1.317171119876284], [0.0, 0.0], [0.21693045781865616, 0.4338609156373123], [-1.0783277320343843, 0.0], [0.0, 0.0], [0.0, 0.6396021490668313], [1.05999788000636, 0.0], [0.0, 0.0], [-0.4193139346887673, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.20519567041703082, -0.10259783520851541], [0.0, 0.0], [0.0, 1.8276230972405143], [0.0, -0.30304576336566325], [0.0, 0.0], [0.3, -0.4]], 'angles': [-0.442486635959346, None, None, -0.43831207139278755, -0.29874555726053414, -0.45527190624448327, -0.4610104348113153, None, 0.0, -0.3440403189239459, -0.3084770123204803, -0.4737157716443733, -0.2749579914769047, -0.36198761725214607, 0.0, -0.37950679398853415, -0.25, -0.36057103081184777, 0.03928546523106126, -0.17127599107372865, 0.037604259315664273, -0.17570572270713922, -0.38557753176547, -0.16109615775532363, 0.1834375306261717, -0.25, 0.1445097791755039, 0.06319161998086215, -0.20361321046112882, 0.04553478526308179, -0.41064250483417686, -0.10598835149627664, 0.041252951302382955, -0.22287011155447098, -0.19686445666484528, -0.3311864969146922, -0.3897839195079082, -0.4076409660411811, 0.0, -0.4633766679112504, -0.0728988992388899, -0.28579057725765616, -0.13712935457892453, 0.05859594012426835, 0.034282455059798135, -0.20424349197669878, -0.27198319018085865, -0.45684179776829464, -0.47881048669846815, -0.12048007168921328, 0.07582181589941221, -0.23969792986517408, -0.32445016778041763, -0.17716364110382432, -0.3073962333466164, 0.13257583678906293, -0.27927637030754704, -0.25, -0.4613710723835361, -0.3639196710043152, -0.3865696076615149, 0.009303228118665147, 0.09666987980430489, -0.2772068616101374, 0.11863719432600409, -0.43569106797857915, -0.32246111833229735, -0.3977410864819574, -0.2914417463845777, -0.2585234425032595, -0.32000312123743074, -0.15141726510459821, 0.17374286369119923, -0.4228469144334645, -0.31739838895771294, 0.1858071884886855, -0.4329784425797823, 0.03216963528082703, -0.3847482933041791, -0.34152930352548333, -0.17754614633772992, -0.322268621966347, -0.29666301474726053, 0.1073975452264858, -0.18764885635407058, -0.48485378893005376, -0.21208753108089975, -0.307447518139146, -0.3838216386092402, 0.05273560306973905, 0.014750733652819346, -0.31744868763260414, -0.44095914729587926, -0.1502169732635038, -0.17612848415480847, -0.44195051441760647, -0.4404478312336816, -0.06408337165369639, 0.05687787586119252, -0.24315528478103735], 'char_orbit_index': 3, 'conrey_index': 514, 'dual_conrey_index': 514, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 137472508759, 'label': '855.2.c.a.514.1', 'level': 855, '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

  
  {'Nk2': 3420, 'analytic_conductor': 6.827209372819473, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [855, 2, [191, 172, 496], [2, 1, 2]], 'conrey_index': 514, 'cusp_dim': 112, 'dim': 44, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11], 'hecke_orbit_code': 137472508759, 'hecke_orbit_dims': [2, 2, 2, 6, 6, 12, 14], 'label': '855.2.c', 'level': 855, '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, 19], 'level_radical': 285, 'mf_dim': 128, 'mf_new_dim': 44, 'num_forms': 7, 'prim_orbit_index': 2, 'relative_dim': 44, 'sturm_bound': 240, 'trace_bound': 5, 'trace_display': [0, 0, 1, 0], 'traces': [44, 0, 0, -42, 1, 0, 0, 0, 0, -12, 2, 0, 0, -4, 0, 62, 0, 0, 4, -8, 0, 0, 0, 0, 25, 20, 0, 0, 8, 0, -8, 0, 0, -40, 1, 0, 0, 0, 0, 16, -16, 0, 0, -20, 0, 68, 0, 0, -66, 16, 0, 0, 0, 0, 11, -28, 0, 0, -28, 0, -2, 0, 0, -102, 16, 0, 0, 0, 0, -24, -12, 0, 0, 36, 0, -10, 0, 0, 0, 26, 0, 0, 0, 0, 9, 52, 0, 0, 36, 0, 64, 0, 0, 20, 1, 0, 0, 0, 0, -120, 40, 0, 0, -84, 0, -4, 0, 0, -44, -72, 0, 0, 0, 0, -50, 92, 0, 0, -102, 0, 78, 0, 0, 40, 64, 0, 0, 0, 0, -108, 26, 0, 0, -56, 0, 160, 0, 0, -22, -126, 0, 0, 0, 0, -30, 24, 0, 0, -6, 0, 4, 0, 0, 120, 28, 0, 0, 0, 0, -80, -28, 0, 0, 172, 0, 28, 0, 0, -52, -64, 0, 0, 0, 0, -37, 152, 0, 0, -60, 0, 56, 0, 0, -100, 38, 0, 0, 0, 0, -16, 126, 0, 0, -84, 0, 102, 0, 0, 158, -168, 0, 0, 0, 0, 18, -160, 0, 0, -30, 0, 52, 0, 0, 40, -71, 0, 0, 0, 0, -146, -112, 0, 0, 124, 0, 116, 0, 0, -14, 12, 0, 0, 0, 0, -31, 88, 0, 0, -50, 0, -64, 0, 0, 32, -54, 0, 0, 0, 0, -40, 34, 0, 0, 152, 0, 14, 0, 0, -36, -56, 0, 0, 0, 0, 60, 20, 0, 0, 36, 0, -72, 0, 0, 264, 111, 0, 0, 0, 0, -68, -16, 0, 0, 224, 0, 0, 0, 0, -74, 48, 0, 0, 0, 0, 58, -52, 0, 0, 24, 0, 82, 0, 0, -2, -69, 0, 0, 0, 0, -128, 14, 0, 0, 112, 0, 136, 0, 0, -156, 130, 0, 0, 0, 0, -100, -220, 0, 0, 58, 0, 8, 0, 0, 152, -28, 0, 0, 0, 0, -94, -24, 0, 0, -324, 0, 92, 0, 0, 22, 20, 0, 0, 0, 0, -26, -148, 0, 0, -30, 0, 44, 0, 0, -56, 69, 0, 0, 0, 0, -220, -8, 0, 0, -80, 0, -92, 0, 0, -116, 12, 0, 0, 0, 0, 57, 84, 0, 0, -70, 0, 28, 0, 0, -48, -4, 0, 0, 0, 0, 10, 108, 0, 0, -196, 0, -40, 0, 0, -292, 104, 0, 0, 0, 0, 138, 84, 0, 0, -96, 0, 36, 0, 0, 124, -189, 0, 0, 0, 0, -40, 128, 0, 0, 168, 0, 164, 0, 0, -28, 208, 0, 0, 0, 0, 68, 96, 0, 0, 236, 0, -108, 0, 0, 24, -80, 0, 0, 0, 0, 76, 54, 0, 0, -244, 0, 32, 0, 0, -152, 188, 0, 0, 0, 0, 21, 284, 0, 0, -264, 0, 0, 0, 0, -254, -120, 0, 0, 0, 0, 0, -80, 0, 0, -52, 0, -232, 0, 0, 6, -250, 0, 0, 0, 0, 14, -432, 0, 0, 60, 0, -14, 0, 0, 4, 110, 0, 0, 0, 0, 340, 92, 0, 0, -52, 0, 364, 0, 0, -76, -68, 0, 0, 0, 0, 158, 64, 0, 0, 160, 0, 38, 0, 0, -160, -28, 0, 0, 0, 0, -68, 56, 0, 0, 16, 0, -204, 0, 0, -144, 244, 0, 0, 0, 0, 122, -52, 0, 0, 172, 0, -152, 0, 0, 520, 150, 0, 0, 0, 0, 136, -196, 0, 0, -40, 0, -212, 0, 0, 24, -16, 0, 0, 0, 0, 167, 8, 0, 0, 296, 0, 0, 0, 0, 40, 20, 0, 0, 0, 0, -164, -248, 0, 0, 216, 0, -256, 0, 0, 24, -144, 0, 0, 0, 0, 189, -208, 0, 0, -244, 0, -46, 0, 0, -36, 18, 0, 0, 0, 0, 256, 36, 0, 0, 136, 0, -32, 0, 0, 28, 316, 0, 0, 0, 0, 83, -68, 0, 0, -140, 0, 260, 0, 0, -220, -11, 0, 0, 0, 0, 96, 154, 0, 0, -220, 0, 174, 0, 0, 16, -72, 0, 0, 0, 0, -77, 344, 0, 0, -200, 0, -74, 0, 0, 212, 187, 0, 0, 0, 0, 134, 96, 0, 0, -264, 0, -496, 0, 0, -320, -352, 0, 0, 0, 0, 220, 72, 0, 0, 74, 0, 156, 0, 0, 164, 242, 0, 0, 0, 0, 36, -70, 0, 0, 652, 0, -28, 0, 0, -210, -284, 0, 0, 0, 0, -103, 188, 0, 0, -276, 0, 192, 0, 0, 536, 202, 0, 0, 0, 0, -20, 370, 0, 0, -588, 0, -424, 0, 0, 182, -616, 0, 0, 0, 0, 56, -332, 0, 0, -48, 0, 116, 0, 0, 242, -240, 0, 0, 0, 0, 144, -420, 0, 0, 80, 0, -756, 0, 0, -38, 248, 0, 0, 0, 0, 146, 32, 0, 0, 10, 0, -184, 0, 0, -32, -174, 0, 0, 0, 0, -376, 158, 0, 0, 488, 0, -32, 0, 0, -324, 68, 0, 0, 0, 0, 254, 92, 0, 0, 92, 0, 52, 0, 0, 176, 221, 0, 0, 0, 0, -228, -96, 0, 0, 664, 0, -384, 0, 0, 134, 106, 0, 0, 0, 0, 74, -140, 0, 0, -104, 0, -88, 0, 0, 60, -116, 0, 0, 0, 0, 260, 2, 0, 0, 560, 0, -28, 0, 0, -28, 112, 0, 0, 0, 0, 102, -220, 0, 0, 216, 0, 40, 0, 0, -12, -130, 0, 0, 0, 0, -208, -196, 0, 0, -512, 0, -312, 0, 0, -232, 164, 0, 0, 0, 0, -170, -204, 0, 0, -72, 0, -34, 0, 0, 356, 341, 0, 0, 0, 0, 114, -224, 0, 0, -128, 0, -200, 0, 0, 8, 40, 0, 0, 0, 0, -119, -100, 0, 0, -210, 0, -212, 0, 0, 532, 76, 0, 0, 0, 0, 28, -144, 0, 0, -272, 0, 76, 0, 0, -160, 246, 0, 0, 0, 0, 36, -72, 0, 0, -332, 0, -84, 0, 0, -160, -195, 0, 0, 0, 0, 176], '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: 1151841
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508759, 'target_is_minimal': True, 'target_label': '855.2.c.a.514.1', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 1151842
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336727249751, 'target_is_minimal': True, 'target_label': '855.2.c.c.514.2', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1151843
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189375155, 'target_is_minimal': False, 'target_label': '4275.2.a.n.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1151844
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915670195, 'target_is_minimal': False, 'target_label': '4275.2.a.d.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1151845
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137472508759, 'target_is_minimal': True, 'target_label': '855.2.c.a.514.2', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 1151846
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797781683, 'target_is_minimal': False, 'target_label': '4275.2.a.g.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1151847
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307263667, 'target_is_minimal': False, 'target_label': '4275.2.a.k.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 1151848
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 514, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508759, 'source_is_minimal': True, 'source_label': '855.2.c.a.514.1', 'source_level': 855, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336727249751, 'target_is_minimal': True, 'target_label': '855.2.c.c.514.1', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1415075
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 2}
  • id: 1415076
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 3}
  • id: 1415077
    {'charpoly_factorization': [[[5, 4, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 5}
  • id: 1415078
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 7}
  • id: 1415079
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 11}
  • id: 1415080
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 13}
  • id: 1415081
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 17}
  • id: 1415082
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 19}
  • id: 1415083
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 23}
  • id: 1415084
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 29}
  • id: 1415085
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 31}
  • id: 1415086
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 37}
  • id: 1415087
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 41}
  • id: 1415088
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 43}
  • id: 1415089
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 47}
  • id: 1415090
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 53}
  • id: 1415091
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 59}
  • id: 1415092
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 61}
  • id: 1415093
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 67}
  • id: 1415094
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 71}
  • id: 1415095
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 73}
  • id: 1415096
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 79}
  • id: 1415097
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 137472508759, 'p': 83}
  • id: 1415098
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 137472508759, 'p': 89}
  • id: 1415099
    {'charpoly_factorization': [[[324, 0, 1], 1]], 'hecke_orbit_code': 137472508759, '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': 3, 'hecke_orbit': 1, 'label': '855.2.c.a', 'level': 855, 'portrait': 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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: 5662873
    {'hecke_orbit_code': 137472508759, 'n': 1, 'trace_an': 2}
  • id: 5662874
    {'hecke_orbit_code': 137472508759, 'n': 2, 'trace_an': 0}
  • id: 5662875
    {'hecke_orbit_code': 137472508759, 'n': 3, 'trace_an': 0}
  • id: 5662876
    {'hecke_orbit_code': 137472508759, 'n': 4, 'trace_an': 2}
  • id: 5662877
    {'hecke_orbit_code': 137472508759, 'n': 5, 'trace_an': -4}
  • id: 5662878
    {'hecke_orbit_code': 137472508759, 'n': 6, 'trace_an': 0}
  • id: 5662879
    {'hecke_orbit_code': 137472508759, 'n': 7, 'trace_an': 0}
  • id: 5662880
    {'hecke_orbit_code': 137472508759, 'n': 8, 'trace_an': 0}
  • id: 5662881
    {'hecke_orbit_code': 137472508759, 'n': 9, 'trace_an': 0}
  • id: 5662882
    {'hecke_orbit_code': 137472508759, 'n': 10, 'trace_an': 2}
  • id: 5662883
    {'hecke_orbit_code': 137472508759, 'n': 11, 'trace_an': -4}
  • id: 5662884
    {'hecke_orbit_code': 137472508759, 'n': 12, 'trace_an': 0}
  • id: 5662885
    {'hecke_orbit_code': 137472508759, 'n': 13, 'trace_an': 0}
  • id: 5662886
    {'hecke_orbit_code': 137472508759, 'n': 14, 'trace_an': -4}
  • id: 5662887
    {'hecke_orbit_code': 137472508759, 'n': 15, 'trace_an': 0}
  • id: 5662888
    {'hecke_orbit_code': 137472508759, 'n': 16, 'trace_an': -2}
  • id: 5662889
    {'hecke_orbit_code': 137472508759, 'n': 17, 'trace_an': 0}
  • id: 5662890
    {'hecke_orbit_code': 137472508759, 'n': 18, 'trace_an': 0}
  • id: 5662891
    {'hecke_orbit_code': 137472508759, 'n': 19, 'trace_an': -2}
  • id: 5662892
    {'hecke_orbit_code': 137472508759, 'n': 20, 'trace_an': -4}
  • id: 5662893
    {'hecke_orbit_code': 137472508759, 'n': 21, 'trace_an': 0}
  • id: 5662894
    {'hecke_orbit_code': 137472508759, 'n': 22, 'trace_an': 0}
  • id: 5662895
    {'hecke_orbit_code': 137472508759, 'n': 23, 'trace_an': 0}
  • id: 5662896
    {'hecke_orbit_code': 137472508759, 'n': 24, 'trace_an': 0}
  • id: 5662897
    {'hecke_orbit_code': 137472508759, 'n': 25, 'trace_an': 6}
  • id: 5662898
    {'hecke_orbit_code': 137472508759, 'n': 26, 'trace_an': -4}
  • id: 5662899
    {'hecke_orbit_code': 137472508759, 'n': 27, 'trace_an': 0}
  • id: 5662900
    {'hecke_orbit_code': 137472508759, 'n': 28, 'trace_an': 0}
  • id: 5662901
    {'hecke_orbit_code': 137472508759, 'n': 29, 'trace_an': -12}
  • id: 5662902
    {'hecke_orbit_code': 137472508759, 'n': 30, 'trace_an': 0}
  • id: 5662903
    {'hecke_orbit_code': 137472508759, 'n': 31, 'trace_an': -8}
  • id: 5662904
    {'hecke_orbit_code': 137472508759, 'n': 32, 'trace_an': 0}
  • id: 5662905
    {'hecke_orbit_code': 137472508759, 'n': 33, 'trace_an': 0}
  • id: 5662906
    {'hecke_orbit_code': 137472508759, 'n': 34, 'trace_an': -4}
  • id: 5662907
    {'hecke_orbit_code': 137472508759, 'n': 35, 'trace_an': 4}
  • id: 5662908
    {'hecke_orbit_code': 137472508759, 'n': 36, 'trace_an': 0}
  • id: 5662909
    {'hecke_orbit_code': 137472508759, 'n': 37, 'trace_an': 0}
  • id: 5662910
    {'hecke_orbit_code': 137472508759, 'n': 38, 'trace_an': 0}
  • id: 5662911
    {'hecke_orbit_code': 137472508759, 'n': 39, 'trace_an': 0}
  • id: 5662912
    {'hecke_orbit_code': 137472508759, 'n': 40, 'trace_an': 6}
  • id: 5662913
    {'hecke_orbit_code': 137472508759, 'n': 41, 'trace_an': -4}
  • id: 5662914
    {'hecke_orbit_code': 137472508759, 'n': 42, 'trace_an': 0}
  • id: 5662915
    {'hecke_orbit_code': 137472508759, 'n': 43, 'trace_an': 0}
  • id: 5662916
    {'hecke_orbit_code': 137472508759, 'n': 44, 'trace_an': -4}
  • id: 5662917
    {'hecke_orbit_code': 137472508759, 'n': 45, 'trace_an': 0}
  • id: 5662918
    {'hecke_orbit_code': 137472508759, 'n': 46, 'trace_an': 0}
  • id: 5662919
    {'hecke_orbit_code': 137472508759, 'n': 47, 'trace_an': 0}
  • id: 5662920
    {'hecke_orbit_code': 137472508759, 'n': 48, 'trace_an': 0}
  • id: 5662921
    {'hecke_orbit_code': 137472508759, 'n': 49, 'trace_an': 6}
  • id: 5662922
    {'hecke_orbit_code': 137472508759, 'n': 50, 'trace_an': -8}
  • id: 5662923
    {'hecke_orbit_code': 137472508759, 'n': 51, 'trace_an': 0}
  • id: 5662924
    {'hecke_orbit_code': 137472508759, 'n': 52, 'trace_an': 0}
  • id: 5662925
    {'hecke_orbit_code': 137472508759, 'n': 53, 'trace_an': 0}
  • id: 5662926
    {'hecke_orbit_code': 137472508759, 'n': 54, 'trace_an': 0}
  • id: 5662927
    {'hecke_orbit_code': 137472508759, 'n': 55, 'trace_an': 8}
  • id: 5662928
    {'hecke_orbit_code': 137472508759, 'n': 56, 'trace_an': -12}
  • id: 5662929
    {'hecke_orbit_code': 137472508759, 'n': 57, 'trace_an': 0}
  • id: 5662930
    {'hecke_orbit_code': 137472508759, 'n': 58, 'trace_an': 0}
  • id: 5662931
    {'hecke_orbit_code': 137472508759, 'n': 59, 'trace_an': 0}
  • id: 5662932
    {'hecke_orbit_code': 137472508759, 'n': 60, 'trace_an': 0}
  • id: 5662933
    {'hecke_orbit_code': 137472508759, 'n': 61, 'trace_an': -20}
  • id: 5662934
    {'hecke_orbit_code': 137472508759, 'n': 62, 'trace_an': 0}
  • id: 5662935
    {'hecke_orbit_code': 137472508759, 'n': 63, 'trace_an': 0}
  • id: 5662936
    {'hecke_orbit_code': 137472508759, 'n': 64, 'trace_an': -14}
  • id: 5662937
    {'hecke_orbit_code': 137472508759, 'n': 65, 'trace_an': 4}
  • id: 5662938
    {'hecke_orbit_code': 137472508759, 'n': 66, 'trace_an': 0}
  • id: 5662939
    {'hecke_orbit_code': 137472508759, 'n': 67, 'trace_an': 0}
  • id: 5662940
    {'hecke_orbit_code': 137472508759, 'n': 68, 'trace_an': 0}
  • id: 5662941
    {'hecke_orbit_code': 137472508759, 'n': 69, 'trace_an': 0}
  • id: 5662942
    {'hecke_orbit_code': 137472508759, 'n': 70, 'trace_an': 8}
  • id: 5662943
    {'hecke_orbit_code': 137472508759, 'n': 71, 'trace_an': 16}
  • id: 5662944
    {'hecke_orbit_code': 137472508759, 'n': 72, 'trace_an': 0}
  • id: 5662945
    {'hecke_orbit_code': 137472508759, 'n': 73, 'trace_an': 0}
  • id: 5662946
    {'hecke_orbit_code': 137472508759, 'n': 74, 'trace_an': -4}
  • id: 5662947
    {'hecke_orbit_code': 137472508759, 'n': 75, 'trace_an': 0}
  • id: 5662948
    {'hecke_orbit_code': 137472508759, 'n': 76, 'trace_an': -2}
  • id: 5662949
    {'hecke_orbit_code': 137472508759, 'n': 77, 'trace_an': 0}
  • id: 5662950
    {'hecke_orbit_code': 137472508759, 'n': 78, 'trace_an': 0}
  • id: 5662951
    {'hecke_orbit_code': 137472508759, 'n': 79, 'trace_an': 16}
  • id: 5662952
    {'hecke_orbit_code': 137472508759, 'n': 80, 'trace_an': 4}
  • id: 5662953
    {'hecke_orbit_code': 137472508759, 'n': 81, 'trace_an': 0}
  • id: 5662954
    {'hecke_orbit_code': 137472508759, 'n': 82, 'trace_an': 0}
  • id: 5662955
    {'hecke_orbit_code': 137472508759, 'n': 83, 'trace_an': 0}
  • id: 5662956
    {'hecke_orbit_code': 137472508759, 'n': 84, 'trace_an': 0}
  • id: 5662957
    {'hecke_orbit_code': 137472508759, 'n': 85, 'trace_an': 4}
  • id: 5662958
    {'hecke_orbit_code': 137472508759, 'n': 86, 'trace_an': -20}
  • id: 5662959
    {'hecke_orbit_code': 137472508759, 'n': 87, 'trace_an': 0}
  • id: 5662960
    {'hecke_orbit_code': 137472508759, 'n': 88, 'trace_an': 0}
  • id: 5662961
    {'hecke_orbit_code': 137472508759, 'n': 89, 'trace_an': 20}
  • id: 5662962
    {'hecke_orbit_code': 137472508759, 'n': 90, 'trace_an': 0}
  • id: 5662963
    {'hecke_orbit_code': 137472508759, 'n': 91, 'trace_an': -8}
  • id: 5662964
    {'hecke_orbit_code': 137472508759, 'n': 92, 'trace_an': 0}
  • id: 5662965
    {'hecke_orbit_code': 137472508759, 'n': 93, 'trace_an': 0}
  • id: 5662966
    {'hecke_orbit_code': 137472508759, 'n': 94, 'trace_an': 0}
  • id: 5662967
    {'hecke_orbit_code': 137472508759, 'n': 95, 'trace_an': 4}
  • id: 5662968
    {'hecke_orbit_code': 137472508759, 'n': 96, 'trace_an': 0}
  • id: 5662969
    {'hecke_orbit_code': 137472508759, 'n': 97, 'trace_an': 0}
  • id: 5662970
    {'hecke_orbit_code': 137472508759, 'n': 98, 'trace_an': 0}
  • id: 5662971
    {'hecke_orbit_code': 137472508759, 'n': 99, 'trace_an': 0}
  • id: 5662972
    {'hecke_orbit_code': 137472508759, 'n': 100, 'trace_an': 6}