Embedded newform data - 9680.2.a.db.1.6

Formats: - HTML - YAML - JSON - 2026-07-21T13:40:26.649033

• 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': 38720, 'analytic_conductor': 77.2951891565994, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, -1], [11, 1]], 'atkin_lehner_string': '+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9680, 1, [3631, 2421, 1937, 4721], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 22733568, 'field_disc_factorization': [[2, 8], [3, 3], [11, 1], [13, 1], [23, 1]], 'field_poly': [-2, 8, 16, -2, -8, 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': [[3, [-11, -10, 23, 12, -9, -2, 1]], [7, [313, -440, 71, 84, -21, -4, 1]], [13, [16, -64, 64, 16, -32, 0, 1]], [17, [256, 1024, 0, -192, -16, 8, 1]]], 'hecke_orbit': 80, 'hecke_orbit_code': 355784370595833296, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '9680.2.a.db', 'level': 9680, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '4840.2.a.bc', 'nf_label': '6.6.22733568.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}+q^{5}+(\\beta _{3}+\\beta _{4})q^{7}+(-\\beta _{1}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9680.2.a', 'trace_display': [0, 2, 6, 4], 'trace_hash': 858844910608952728, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.130', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.638', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.942', 'prec': 17}, {'__RealLiteral__': 0, 'data': '89.112', 'prec': 20}, {'__RealLiteral__': 0, 'data': '59.480', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2192.426', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, 'traces': [6, 0, 2, 0, 6, 0, 4, 0, 4, 0, 0, 0, 0, 0, 2, 0, -8, 0, 12, 0, 8, 0, 8, 0, 6, 0, 14, 0, -16, 0, 4, 0, 0, 0, 4, 0, 8, 0, 12, 0, -32, 0, -4, 0, 4, 0, 6, 0, 16, 0, 40, 0, 8, 0, 0, 0, 16, 0, -4, 0, -16, 0, 28, 0, 0, 0, 2, 0, 8, 0, 28, 0, -16, 0, 2, 0, 0, 0, 0, 0, -10, 0, 12, 0, -8, 0, -24, 0, 18, 0, 24, 0, 20, 0, 12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 8, 0, 32, 0, 0, 0, 40, 0, 12, 0, 8, 0, -8, 0, 8, 0, 0, 0, -4, 0, 6, 0, 16, 0, -32, 0, -4, 0, 32, 0, 14, 0, 40, 0, 20, 0, -14, 0, 0, 0, -16, 0, 24, 0, -32, 0, 36, 0, 32, 0, 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0, 0, 0, 136, 0, 50, 0, 100, 0, 72, 0, -36, 0, -88, 0, 0, 0, 60, 0, 0, 0, 2, 0, 0, 0, 128, 0, -228, 0, -136, 0, -4, 0, 144, 0, -144, 0, -6, 0, -134, 0, 8, 0, 8, 0, 0, 0, 52, 0, 104, 0, 32, 0, -72, 0, -80, 0, 144, 0, -82, 0, 46, 0, 148, 0, 8, 0, 0, 0, 48, 0, 72, 0, -168, 0, 204, 0, 120, 0, -6, 0, 24, 0, -142, 0, -32, 0, 272, 0, 0, 0, 32, 0, -176, 0, -44, 0, -192, 0, 12, 0, -52, 0, -10, 0, -20, 0, 112, 0, -76, 0, 0, 0, 0, 0, 8, 0, -32, 0, 192, 0, -88, 0, -86, 0, -180, 0, 4, 0, 56, 0, 6, 0, 0, 0, -92, 0, -70, 0, 224, 0, 0, 0, 68, 0, -50, 0, -8, 0, -12, 0, -92, 0, 120, 0, 0, 0, -32, 0, 104, 0, 40, 0, 236, 0, -64, 0, 208, 0, 16, 0, 72, 0, -32, 0, 20, 0, 0, 0, -96, 0, 12, 0, -40, 0, 0, 0, 120, 0, 164, 0, 40, 0, -36, 0, 144, 0, -96, 0, 0, 0, 104, 0, 156, 0, -160, 0, -12, 0, 88, 0, 40, 0, 212, 0, 0, 0, -64, 0, 120, 0, 0, 0, 28, 0, 98, 0, 104, 0, -192, 0, -20, 0, -88, 0, -100, 0, 104, 0, 152, 0, 12, 0, 0, 0, -248, 0, -176, 0, -8, 0, -56, 0, -32, 0, 200, 0, 224, 0, 152, 0, -16, 0, 48, 0, 0, 0, -76, 0, -184, 0, 72, 0, 24, 0, 24, 0, -100, 0, -54, 0, -48, 0, 140, 0, 136, 0, 0, 0, -152, 0, 8, 0, -88, 0, 100, 0, 96, 0, 162, 0, 68, 0, 186, 0, 16, 0, -200, 0, 0, 0, -104, 0, 56, 0, -108, 0, -152, 0, -76, 0, -20, 0, 112, 0, -36, 0, -220, 0, -88, 0, 0, 0, 80, 0, -92, 0, -16, 0, -96, 0, -8, 0, -18, 0, -224, 0, -192, 0, -88, 0, 70, 0, 0, 0, 60, 0, 56, 0, -16, 0, 0, 0, 40, 0, -102, 0, -176, 0, 188, 0, 32, 0, 80, 0, 0, 0, 16, 0, 62, 0, -40, 0, -100, 0, -160, 0, 36, 0, -88, 0, 8, 0, 40, 0, -8, 0, 0, 0, 160, 0, 124, 0, 16, 0, -232, 0, 44, 0, 16, 0, 16, 0, -16, 0, 24, 0, 4, 0, 0, 0, -32, 0, 120, 0, 112, 0, 116, 0, -120, 0, -68, 0, 196, 0, 108, 0, 16, 0, -146, 0, 0, 0, 144, 0, -136, 0, 20, 0, -72, 0, -68, 0, 168, 0, -60, 0, -106, 0, -128, 0, -128, 0, 0, 0, -48, 0, 108, 0, 0, 0, 28, 0, -160, 0, -136, 0, -44, 0, -254, 0, 88, 0, -80, 0, 0, 0, -304, 0, -176, 0, -4, 0, -72, 0, -136, 0, 0, 0, 144, 0, -12, 0, 20, 0, 28, 0, 0, 0, 224, 0, -32, 0, 88, 0, -192, 0, 96, 0, -80, 0, 40, 0, -16, 0, -336, 0, -88, 0, 0, 0, -36, 0, 404, 0, 108, 0, 192, 0, 44, 0, 6, 0, 96, 0, -182, 0, 12, 0, 24, 0, 0, 0, -192, 0, -192, 0, -16, 0, 136, 0, 64, 0, -266, 0, -6, 0, 144, 0, -320, 0, 40, 0, 0, 0, -32, 0, 72, 0, 100, 0, 40, 0, -180, 0, 182], '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, 0.0], [1.712379551791842, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [0.3888356726535706, 0.0], [0.0, 0.0], [1.9322437293948302, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.1398664177212401, 0.0], [0.0, 0.0], [0.7657994162174362, 0.0], [0.0, 0.0], [0.95361533952989, 0.0], [0.0, 0.0], [0.574524799323563, 0.0], [0.0, 0.0], [0.6658342548592008, 0.0], [0.0, 0.0], [1.196707219355446, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [1.5963550995018747, 0.0], [0.0, 0.0], [-1.2856181634961188, 0.0], [0.0, 0.0], [-0.8041910236823823, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.173892599226048, 0.0], [0.0, 0.0], [0.7863674863074381, 0.0], [0.0, 0.0], [0.23950439368822765, 0.0], [0.0, 0.0], [-1.8491640226208732, 0.0], [0.0, 0.0], [-1.0828310847603677, 0.0], [0.0, 0.0], [0.8641256656049098, 0.0], [0.0, 0.0], [0.026641030716326508, 0.0], [0.0, 0.0], [-0.8488068196720453, 0.0], [0.0, 0.0], [1.6329514076860183, 0.0], [0.0, 0.0], [1.712464243628796, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9838045183589809, 0.0], [0.0, 0.0], [1.3734125413908904, 0.0], [0.0, 0.0], [1.3982720510648814, 0.0], [0.0, 0.0], [0.7513252902498827, 0.0], [0.0, 0.0], [0.0625501635588148, 0.0], [0.0, 0.0], [-1.19284528484543, 0.0], [0.0, 0.0], [2.0492169719059405, 0.0], [0.0, 0.0], [1.661396141294894, 0.0], [0.0, 0.0], [0.8571170412430376, 0.0], [0.0, 0.0], [0.34247591035836844, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.1559465093084775, 0.0], [0.0, 0.0], [0.8013221003908116, 0.0], [0.0, 0.0], [0.47568324030674863, 0.0], [0.0, 0.0], [0.42646974471507526, 0.0], [0.0, 0.0], [-2.201466254582935, 0.0], [0.0, 0.0], [1.8315577501847298, 0.0], [0.0, 0.0], [0.05438505261628368, 0.0], [0.0, 0.0], [-1.3770802646882605, 0.0], [0.0, 0.0], [0.2569353012093824, 0.0], [0.0, 0.0], [-0.7921394425620646, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.08641270639652798, None, -0.2188591188198467, None, -0.2388606917603071, -0.1708969093941456, -0.20362741483447439, -0.14791090444111007, -0.3611155722425108, -0.31585901268069233, -0.18568681438344395, -0.4377928056697817, -0.34105570286696874, -0.2478799114363464, -0.08639966106513856, -0.1295279337360079, -0.12678408821316967, -0.3517058767604021, -0.09397079542226028, -0.17951079174230486, -0.15192189426100652, -0.21178003896306544, -0.06578727531431698, -0.3148130737550318, -0.19414245749183434, -0.25842475411951715, -0.38611076754234747, -0.33441719121732916, -0.2370367389700752, -0.321646204145066, -0.2764927480392954, -0.2813748408674493, -0.18681684690449607, -0.3829206606566114, -0.321679372662669, -0.2711679805367737, -0.1853672914246404, -0.20384851413253055, -0.37446939161925347, -0.46908967529995643, -0.1793548397208409, -0.31189468940623066, -0.37098159900189703, -0.25530690019464874, -0.057119631213402085, -0.1929698519157638, -0.2306365542293874, -0.19252324554887437, -0.2628320451387944, -0.39142600328722627, -0.23192966313540705, -0.21370153590183213, -0.3708862465402636, -0.24171793615359338, -0.11779650082029362, -0.18964975397885467, -0.1557764264219385, -0.3488759974987397, -0.27521107052112964, -0.18511789450383295, -0.20425540435729836, -0.18596467538687259, -0.2486756064856864, -0.24346795317548722, -0.39015701275955106, -0.3258729187365655, -0.2098165783098138, -0.14023174282905815, -0.30830435450927957, -0.3533857422234315, -0.2272710190095886, -0.28595179744357, -0.4137704418238666, -0.22005022560241394, -0.21348120350579294, -0.2626017288989407, -0.12055763555665067, -0.3459572563878905, -0.12916130379914587, -0.08904509370138525, -0.22601573914746975, -0.14269396600303091, -0.3154631864761643, -0.16051750654482996, -0.3219153593367544, -0.19712104241506875, -0.18988108745772475, -0.37770310197168877, -0.3235853501715487, -0.07236778139697246, -0.21659005678619714, -0.30830737923850987, -0.22076099500387245, -0.4138212478970768, -0.34894508403510216, -0.0884216768161352, -0.3302364933966093, -0.21023724912070602, -0.20169948820650607], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 6, 'dual_embedding_m': 6, 'embedding_index': 6, 'embedding_m': 6, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.18458497895145115, 'hecke_orbit': 80, 'hecke_orbit_code': 355784370595833296, 'label': '9680.2.a.db.1.6', 'level': 9680, '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': [24, 30, 30, 25, 30, 25, 24, 30], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18, 18, 18, 18, 18], 'ALdims_old': [157, 168, 162, 161, 168, 155, 162, 162], 'Nk2': 38720, 'analytic_conductor': 77.2951891565994, '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': [9680, 1, [3631, 2421, 1937, 4721], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1513, 'dim': 218, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13, 17], 'hecke_orbit_code': 33564112, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 8, 8], 'label': '9680.2.a', 'level': 9680, '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, 5, 11], 'level_radical': 110, 'mf_dim': 1656, 'mf_new_dim': 218, 'num_forms': 84, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 218, 'sturm_bound': 3168, 'trace_bound': 17, 'trace_display': [0, 2, 0, 6], 'traces': [218, 0, 2, 0, 0, 0, 6, 0, 222, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, -4, 0, -2, 0, 218, 0, -4, 0, -12, 0, 12, 0, 0, 0, -6, 0, -8, 0, -20, 0, 0, 0, 14, 0, -4, 0, -22, 0, 230, 0, -36, 0, 0, 0, 0, 0, 8, 0, -16, 0, 16, 0, 6, 0, 4, 0, 30, 0, 20, 0, 12, 0, 20, 0, 2, 0, 0, 0, 8, 0, 230, 0, -26, 0, 8, 0, -36, 0, 20, 0, 52, 0, 40, 0, 8, 0, 28, 0, 0, 0, 28, 0, 30, 0, 4, 0, -46, 0, 0, 0, -36, 0, -12, 0, 2, 0, 40, 0, -36, 0, 0, 0, -36, 0, 0, 0, 22, 0, 4, 0, 60, 0, 24, 0, -20, 0, -28, 0, -56, 0, 44, 0, 0, 0, 8, 0, 2, 0, 0, 0, 52, 0, -36, 0, 20, 0, 8, 0, 52, 0, -36, 0, 74, 0, 0, 0, 14, 0, 222, 0, 32, 0, 24, 0, 6, 0, -56, 0, 56, 0, 12, 0, 52, 0, -4, 0, 0, 0, 40, 0, 4, 0, 4, 0, 4, 0, 24, 0, 16, 0, 12, 0, 28, 0, -12, 0, 54, 0, 0, 0, -20, 0, 56, 0, 26, 0, 8, 0, 124, 0, -32, 0, -82, 0, 222, 0, -62, 0, -12, 0, 0, 0, -52, 0, -10, 0, 48, 0, 40, 0, 48, 0, -50, 0, -20, 0, 80, 0, 20, 0, -36, 0, 0, 0, 36, 0, 20, 0, 60, 0, -36, 0, -30, 0, 20, 0, 132, 0, 32, 0, 44, 0, 24, 0, 0, 0, -16, 0, 68, 0, -48, 0, 54, 0, 24, 0, -76, 0, 198, 0, -60, 0, 8, 0, -32, 0, 0, 0, 4, 0, -36, 0, -20, 0, -4, 0, 50, 0, 100, 0, -12, 0, -4, 0, 10, 0, 56, 0, 0, 0, -20, 0, -64, 0, 0, 0, 100, 0, 20, 0, -12, 0, -32, 0, -6, 0, -68, 0, 28, 0, 0, 0, 132, 0, 28, 0, -22, 0, -28, 0, -168, 0, -68, 0, 36, 0, 56, 0, 96, 0, 258, 0, 0, 0, 8, 0, 394, 0, 120, 0, -148, 0, -96, 0, -2, 0, 0, 0, 408, 0, -36, 0, -170, 0, 0, 0, -34, 0, -32, 0, -44, 0, 32, 0, -40, 0, -64, 0, 352, 0, 20, 0, -72, 0, -44, 0, 0, 0, 8, 0, 52, 0, 88, 0, -30, 0, 104, 0, -48, 0, 32, 0, -6, 0, 4, 0, 348, 0, 0, 0, -116, 0, -4, 0, -60, 0, -8, 0, -32, 0, 314, 0, 90, 0, 0, 0, -44, 0, 24, 0, 0, 0, -8, 0, 12, 0, -52, 0, -40, 0, -4, 0, 462, 0, 40, 0, 54, 0, -28, 0, 188, 0, 0, 0, 0, 0, 40, 0, -24, 0, 88, 0, -104, 0, 16, 0, -110, 0, 20, 0, -60, 0, 88, 0, 0, 0, -88, 0, 56, 0, -68, 0, -6, 0, -16, 0, 606, 0, -60, 0, 92, 0, -48, 0, 50, 0, 0, 0, 92, 0, -28, 0, -18, 0, -4, 0, -40, 0, 166, 0, 80, 0, 8, 0, -26, 0, -40, 0, 0, 0, -36, 0, 84, 0, 12, 0, -62, 0, 56, 0, 24, 0, 64, 0, -4, 0, -112, 0, 420, 0, 0, 0, -106, 0, 40, 0, 94, 0, -120, 0, 156, 0, -200, 0, -2, 0, 4, 0, -132, 0, -36, 0, 0, 0, -4, 0, 54, 0, 80, 0, 124, 0, 12, 0, 28, 0, -80, 0, -56, 0, 64, 0, 334, 0, 0, 0, -34, 0, 8, 0, 108, 0, -24, 0, 84, 0, 44, 0, 440, 0, -8, 0, 60, 0, 218, 0, 0, 0, -32, 0, 28, 0, -32, 0, 10, 0, 56, 0, 116, 0, -80, 0, 34, 0, 12, 0, 106, 0, 0, 0, 32, 0, -136, 0, 60, 0, 44, 0, 88, 0, 96, 0, -56, 0, 8, 0, 68, 0, -92, 0, 0, 0, 44, 0, -4, 0, -200, 0, -68, 0, -68, 0, -150, 0, 24, 0, 540, 0, -24, 0, -140, 0, 0, 0, 32, 0, 16, 0, 140, 0, 112, 0, 176, 0, -28, 0, -60, 0, -44, 0, -40, 0, -72, 0, 0, 0, -16, 0, 8, 0, 140, 0, 300, 0, -12, 0, -78, 0, 354, 0, 108, 0, -72, 0, -114, 0, 0, 0, -8, 0, -192, 0, 122, 0, 12, 0, -10, 0, -140, 0, -44, 0, 96, 0, 12, 0, -32, 0, 0, 0, 100, 0, 308, 0, 0, 0, 176, 0, 52, 0, 20, 0, 72, 0, 12, 0, 216, 0, -8, 0, 0, 0, 104, 0, -36, 0, -38, 0, -124, 0, -132, 0, 168, 0, 12, 0, -72, 0, 76, 0, 60, 0, 0, 0, 4, 0, -4, 0, -28, 0, -92, 0, 24, 0, -34, 0, 120, 0, -76, 0, -16, 0, -218, 0, 0, 0, 106, 0, 144, 0, -132, 0, 124, 0, -78, 0, 48, 0, 56, 0, 214, 0, 28, 0, 0, 0, 0, 0, 36, 0, -380, 0, 24, 0, -88, 0, -124, 0, -40, 0, -120, 0, -578, 0, -20, 0, -194, 0, 0, 0, -76, 0, 148, 0, -6, 0, -40, 0, -36, 0, -96, 0, -422, 0, -24, 0, -98, 0, 20, 0, 0, 0, -24, 0, 48, 0, 136, 0, -56, 0, 48, 0, 96, 0, -64, 0, -122, 0, 4, 0, -212, 0, 0, 0, -52, 0, 160, 0, -72, 0, 44, 0, -200, 0, -8, 0, 6, 0, -24, 0, 0, 0, -24, 0, 0, 0, 124, 0, 492, 0, 108, 0, -332, 0, 72, 0, -370, 0, 128, 0, 180, 0, -68, 0, 92, 0, 0, 0, -180, 0, 298, 0, -222, 0, -24, 0, -10, 0, -248, 0, -156, 0, 72, 0, -20, 0, -332, 0, 0, 0, -24, 0, -2, 0, 44, 0, -56, 0, 4, 0, -628, 0, -408, 0, 32, 0, 192, 0, -32, 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: 49152915
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 355784370595833296, 'source_is_minimal': False, 'source_label': '9680.2.a.db.1.6', 'source_level': 9680, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 355784370595833296, 'target_is_minimal': False, 'target_label': '9680.2.a.db.1.6', 'target_level': 9680, 'twist_class_label': '4840.2.a.bc.1.1', 'twist_class_level': 4840, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 49152916
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 355784370595833296, 'source_is_minimal': False, 'source_label': '9680.2.a.db.1.6', 'source_level': 9680, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789599933160, 'target_is_minimal': True, 'target_label': '4840.2.a.bc.1.1', 'target_level': 4840, 'twist_class_label': '4840.2.a.bc.1.1', 'twist_class_level': 4840, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 49152917
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 355784370595833296, 'source_is_minimal': False, 'source_label': '9680.2.a.db.1.6', 'source_level': 9680, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 351280770968462800, 'target_is_minimal': False, 'target_label': '9680.2.a.da.1.6', 'target_level': 9680, 'twist_class_label': '4840.2.a.bc.1.1', 'twist_class_level': 4840, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 49152918
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 355784370595833296, 'source_is_minimal': False, 'source_label': '9680.2.a.db.1.6', 'source_level': 9680, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389227303656, 'target_is_minimal': True, 'target_label': '4840.2.a.bd.1.1', 'target_level': 4840, 'twist_class_label': '4840.2.a.bc.1.1', 'twist_class_level': 4840, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 5095950
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 355784370595833296, 'p': 2}
  • id: 5095951
    {'charpoly_factorization': [[[-11, -10, 23, 12, -9, -2, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 3}
  • id: 5095952
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 355784370595833296, 'p': 5}
  • id: 5095953
    {'charpoly_factorization': [[[313, -440, 71, 84, -21, -4, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 7}
  • id: 5095954
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 355784370595833296, 'p': 11}
  • id: 5095955
    {'charpoly_factorization': [[[16, -64, 64, 16, -32, 0, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 13}
  • id: 5095956
    {'charpoly_factorization': [[[256, 1024, 0, -192, -16, 8, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 17}
  • id: 5095957
    {'charpoly_factorization': [[[-176, 704, -560, 112, 28, -12, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 19}
  • id: 5095958
    {'charpoly_factorization': [[[-9776, -6592, 1232, 456, -60, -8, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 23}
  • id: 5095959
    {'charpoly_factorization': [[[-5888, -11776, -7104, -1344, -16, 16, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 29}
  • id: 5095960
    {'charpoly_factorization': [[[-368, -288, 976, 40, -80, -4, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 31}
  • id: 5095961
    {'charpoly_factorization': [[[3328, -9984, 1216, 608, -80, -8, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 37}
  • id: 5095962
    {'charpoly_factorization': [[[-70187, -38480, -4285, 1200, 351, 32, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 41}
  • id: 5095963
    {'charpoly_factorization': [[[9097, 5280, -425, -700, -101, 4, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 43}
  • id: 5095964
    {'charpoly_factorization': [[[277, -1750, 1231, 268, -65, -6, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 47}
  • id: 5095965
    {'charpoly_factorization': [[[89296, -46848, 3232, 1496, -176, -8, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 53}
  • id: 5095966
    {'charpoly_factorization': [[[-221168, -13248, 17728, -376, -248, 4, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 59}
  • id: 5095967
    {'charpoly_factorization': [[[252013, 87392, -1917, -2640, -121, 16, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 61}
  • id: 5095968
    {'charpoly_factorization': [[[-1315739, -2802, 38287, 212, -353, -2, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 67}
  • id: 5095969
    {'charpoly_factorization': [[[-10736, -35072, -11104, 2040, 120, -28, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 71}
  • id: 5095970
    {'charpoly_factorization': [[[212992, 106496, 5120, -3072, -192, 16, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 73}
  • id: 5095971
    {'charpoly_factorization': [[[19008, 17280, 3888, -288, -132, 0, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 79}
  • id: 5095972
    {'charpoly_factorization': [[[927952, -325440, 14592, 3952, -288, -12, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 83}
  • id: 5095973
    {'charpoly_factorization': [[[75673, -159890, -10721, 6212, -281, -18, 1], 1]], 'hecke_orbit_code': 355784370595833296, 'p': 89}
  • id: 5095974
    {'charpoly_factorization': [[[103248, -65664, 9216, 1080, -240, 0, 1], 1]], 'hecke_orbit_code': 355784370595833296, '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': 80, 'label': '9680.2.a.db', 'level': 9680, '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: 72468823
    {'hecke_orbit_code': 355784370595833296, 'n': 1, 'trace_an': 6}
  • id: 72468824
    {'hecke_orbit_code': 355784370595833296, 'n': 2, 'trace_an': 0}
  • id: 72468825
    {'hecke_orbit_code': 355784370595833296, 'n': 3, 'trace_an': 2}
  • id: 72468826
    {'hecke_orbit_code': 355784370595833296, 'n': 4, 'trace_an': 0}
  • id: 72468827
    {'hecke_orbit_code': 355784370595833296, 'n': 5, 'trace_an': 6}
  • id: 72468828
    {'hecke_orbit_code': 355784370595833296, 'n': 6, 'trace_an': 0}
  • id: 72468829
    {'hecke_orbit_code': 355784370595833296, 'n': 7, 'trace_an': 4}
  • id: 72468830
    {'hecke_orbit_code': 355784370595833296, 'n': 8, 'trace_an': 0}
  • id: 72468831
    {'hecke_orbit_code': 355784370595833296, 'n': 9, 'trace_an': 4}
  • id: 72468832
    {'hecke_orbit_code': 355784370595833296, 'n': 10, 'trace_an': 0}
  • id: 72468833
    {'hecke_orbit_code': 355784370595833296, 'n': 11, 'trace_an': 0}
  • id: 72468834
    {'hecke_orbit_code': 355784370595833296, 'n': 12, 'trace_an': 0}
  • id: 72468835
    {'hecke_orbit_code': 355784370595833296, 'n': 13, 'trace_an': 0}
  • id: 72468836
    {'hecke_orbit_code': 355784370595833296, 'n': 14, 'trace_an': 0}
  • id: 72468837
    {'hecke_orbit_code': 355784370595833296, 'n': 15, 'trace_an': 2}
  • id: 72468838
    {'hecke_orbit_code': 355784370595833296, 'n': 16, 'trace_an': 0}
  • id: 72468839
    {'hecke_orbit_code': 355784370595833296, 'n': 17, 'trace_an': -8}
  • id: 72468840
    {'hecke_orbit_code': 355784370595833296, 'n': 18, 'trace_an': 0}
  • id: 72468841
    {'hecke_orbit_code': 355784370595833296, 'n': 19, 'trace_an': 12}
  • id: 72468842
    {'hecke_orbit_code': 355784370595833296, 'n': 20, 'trace_an': 0}
  • id: 72468843
    {'hecke_orbit_code': 355784370595833296, 'n': 21, 'trace_an': 8}
  • id: 72468844
    {'hecke_orbit_code': 355784370595833296, 'n': 22, 'trace_an': 0}
  • id: 72468845
    {'hecke_orbit_code': 355784370595833296, 'n': 23, 'trace_an': 8}
  • id: 72468846
    {'hecke_orbit_code': 355784370595833296, 'n': 24, 'trace_an': 0}
  • id: 72468847
    {'hecke_orbit_code': 355784370595833296, 'n': 25, 'trace_an': 6}
  • id: 72468848
    {'hecke_orbit_code': 355784370595833296, 'n': 26, 'trace_an': 0}
  • id: 72468849
    {'hecke_orbit_code': 355784370595833296, 'n': 27, 'trace_an': 14}
  • id: 72468850
    {'hecke_orbit_code': 355784370595833296, 'n': 28, 'trace_an': 0}
  • id: 72468851
    {'hecke_orbit_code': 355784370595833296, 'n': 29, 'trace_an': -16}
  • id: 72468852
    {'hecke_orbit_code': 355784370595833296, 'n': 30, 'trace_an': 0}
  • id: 72468853
    {'hecke_orbit_code': 355784370595833296, 'n': 31, 'trace_an': 4}
  • id: 72468854
    {'hecke_orbit_code': 355784370595833296, 'n': 32, 'trace_an': 0}
  • id: 72468855
    {'hecke_orbit_code': 355784370595833296, 'n': 33, 'trace_an': 0}
  • id: 72468856
    {'hecke_orbit_code': 355784370595833296, 'n': 34, 'trace_an': 0}
  • id: 72468857
    {'hecke_orbit_code': 355784370595833296, 'n': 35, 'trace_an': 4}
  • id: 72468858
    {'hecke_orbit_code': 355784370595833296, 'n': 36, 'trace_an': 0}
  • id: 72468859
    {'hecke_orbit_code': 355784370595833296, 'n': 37, 'trace_an': 8}
  • id: 72468860
    {'hecke_orbit_code': 355784370595833296, 'n': 38, 'trace_an': 0}
  • id: 72468861
    {'hecke_orbit_code': 355784370595833296, 'n': 39, 'trace_an': 12}
  • id: 72468862
    {'hecke_orbit_code': 355784370595833296, 'n': 40, 'trace_an': 0}
  • id: 72468863
    {'hecke_orbit_code': 355784370595833296, 'n': 41, 'trace_an': -32}
  • id: 72468864
    {'hecke_orbit_code': 355784370595833296, 'n': 42, 'trace_an': 0}
  • id: 72468865
    {'hecke_orbit_code': 355784370595833296, 'n': 43, 'trace_an': -4}
  • id: 72468866
    {'hecke_orbit_code': 355784370595833296, 'n': 44, 'trace_an': 0}
  • id: 72468867
    {'hecke_orbit_code': 355784370595833296, 'n': 45, 'trace_an': 4}
  • id: 72468868
    {'hecke_orbit_code': 355784370595833296, 'n': 46, 'trace_an': 0}
  • id: 72468869
    {'hecke_orbit_code': 355784370595833296, 'n': 47, 'trace_an': 6}
  • id: 72468870
    {'hecke_orbit_code': 355784370595833296, 'n': 48, 'trace_an': 0}
  • id: 72468871
    {'hecke_orbit_code': 355784370595833296, 'n': 49, 'trace_an': 16}
  • id: 72468872
    {'hecke_orbit_code': 355784370595833296, 'n': 50, 'trace_an': 0}
  • id: 72468873
    {'hecke_orbit_code': 355784370595833296, 'n': 51, 'trace_an': 40}
  • id: 72468874
    {'hecke_orbit_code': 355784370595833296, 'n': 52, 'trace_an': 0}
  • id: 72468875
    {'hecke_orbit_code': 355784370595833296, 'n': 53, 'trace_an': 8}
  • id: 72468876
    {'hecke_orbit_code': 355784370595833296, 'n': 54, 'trace_an': 0}
  • id: 72468877
    {'hecke_orbit_code': 355784370595833296, 'n': 55, 'trace_an': 0}
  • id: 72468878
    {'hecke_orbit_code': 355784370595833296, 'n': 56, 'trace_an': 0}
  • id: 72468879
    {'hecke_orbit_code': 355784370595833296, 'n': 57, 'trace_an': 16}
  • id: 72468880
    {'hecke_orbit_code': 355784370595833296, 'n': 58, 'trace_an': 0}
  • id: 72468881
    {'hecke_orbit_code': 355784370595833296, 'n': 59, 'trace_an': -4}
  • id: 72468882
    {'hecke_orbit_code': 355784370595833296, 'n': 60, 'trace_an': 0}
  • id: 72468883
    {'hecke_orbit_code': 355784370595833296, 'n': 61, 'trace_an': -16}
  • id: 72468884
    {'hecke_orbit_code': 355784370595833296, 'n': 62, 'trace_an': 0}
  • id: 72468885
    {'hecke_orbit_code': 355784370595833296, 'n': 63, 'trace_an': 28}
  • id: 72468886
    {'hecke_orbit_code': 355784370595833296, 'n': 64, 'trace_an': 0}
  • id: 72468887
    {'hecke_orbit_code': 355784370595833296, 'n': 65, 'trace_an': 0}
  • id: 72468888
    {'hecke_orbit_code': 355784370595833296, 'n': 66, 'trace_an': 0}
  • id: 72468889
    {'hecke_orbit_code': 355784370595833296, 'n': 67, 'trace_an': 2}
  • id: 72468890
    {'hecke_orbit_code': 355784370595833296, 'n': 68, 'trace_an': 0}
  • id: 72468891
    {'hecke_orbit_code': 355784370595833296, 'n': 69, 'trace_an': 8}
  • id: 72468892
    {'hecke_orbit_code': 355784370595833296, 'n': 70, 'trace_an': 0}
  • id: 72468893
    {'hecke_orbit_code': 355784370595833296, 'n': 71, 'trace_an': 28}
  • id: 72468894
    {'hecke_orbit_code': 355784370595833296, 'n': 72, 'trace_an': 0}
  • id: 72468895
    {'hecke_orbit_code': 355784370595833296, 'n': 73, 'trace_an': -16}
  • id: 72468896
    {'hecke_orbit_code': 355784370595833296, 'n': 74, 'trace_an': 0}
  • id: 72468897
    {'hecke_orbit_code': 355784370595833296, 'n': 75, 'trace_an': 2}
  • id: 72468898
    {'hecke_orbit_code': 355784370595833296, 'n': 76, 'trace_an': 0}
  • id: 72468899
    {'hecke_orbit_code': 355784370595833296, 'n': 77, 'trace_an': 0}
  • id: 72468900
    {'hecke_orbit_code': 355784370595833296, 'n': 78, 'trace_an': 0}
  • id: 72468901
    {'hecke_orbit_code': 355784370595833296, 'n': 79, 'trace_an': 0}
  • id: 72468902
    {'hecke_orbit_code': 355784370595833296, 'n': 80, 'trace_an': 0}
  • id: 72468903
    {'hecke_orbit_code': 355784370595833296, 'n': 81, 'trace_an': -10}
  • id: 72468904
    {'hecke_orbit_code': 355784370595833296, 'n': 82, 'trace_an': 0}
  • id: 72468905
    {'hecke_orbit_code': 355784370595833296, 'n': 83, 'trace_an': 12}
  • id: 72468906
    {'hecke_orbit_code': 355784370595833296, 'n': 84, 'trace_an': 0}
  • id: 72468907
    {'hecke_orbit_code': 355784370595833296, 'n': 85, 'trace_an': -8}
  • id: 72468908
    {'hecke_orbit_code': 355784370595833296, 'n': 86, 'trace_an': 0}
  • id: 72468909
    {'hecke_orbit_code': 355784370595833296, 'n': 87, 'trace_an': -24}
  • id: 72468910
    {'hecke_orbit_code': 355784370595833296, 'n': 88, 'trace_an': 0}
  • id: 72468911
    {'hecke_orbit_code': 355784370595833296, 'n': 89, 'trace_an': 18}
  • id: 72468912
    {'hecke_orbit_code': 355784370595833296, 'n': 90, 'trace_an': 0}
  • id: 72468913
    {'hecke_orbit_code': 355784370595833296, 'n': 91, 'trace_an': 24}
  • id: 72468914
    {'hecke_orbit_code': 355784370595833296, 'n': 92, 'trace_an': 0}
  • id: 72468915
    {'hecke_orbit_code': 355784370595833296, 'n': 93, 'trace_an': 20}
  • id: 72468916
    {'hecke_orbit_code': 355784370595833296, 'n': 94, 'trace_an': 0}
  • id: 72468917
    {'hecke_orbit_code': 355784370595833296, 'n': 95, 'trace_an': 12}
  • id: 72468918
    {'hecke_orbit_code': 355784370595833296, 'n': 96, 'trace_an': 0}
  • id: 72468919
    {'hecke_orbit_code': 355784370595833296, 'n': 97, 'trace_an': 0}
  • id: 72468920
    {'hecke_orbit_code': 355784370595833296, 'n': 98, 'trace_an': 0}
  • id: 72468921
    {'hecke_orbit_code': 355784370595833296, 'n': 99, 'trace_an': 0}
  • id: 72468922
    {'hecke_orbit_code': 355784370595833296, 'n': 100, 'trace_an': 0}