Embedded newform data - 440.2.y.c.361.1

Formats: - HTML - YAML - JSON - 2025-12-14T20:55:17.201406

• 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': 1760, 'analytic_conductor': 3.513417688936337, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 11, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 5, 'char_parity': 1, 'char_values': [440, 5, [111, 221, 177, 321], [5, 5, 5, 1]], 'cm_discs': [], 'conrey_index': 81, 'dim': 12, 'field_disc': 83874723517578125, 'field_disc_factorization': [[5, 9], [11, 2], [18839, 2]], 'field_poly': [1, -43, 711, -302, 782, -235, 335, -81, 28, 4, 5, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [25, 200, 665, 565, 651, 191, 165, 54, 29, -6, 10, 1, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008848555737528, 'hecke_ring_generator_nbound': 5, '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, 11, 3, 1, 5, 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': '440.2.y.c', 'level': 440, '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': '440.2.y.c', 'prim_orbit_index': 3, 'qexp_display': 'q+(\\beta _{3}+\\beta _{8})q^{3}-\\beta _{6}q^{5}+(1+\\beta _{2}+\\beta _{5}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c5', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '440.2.y', 'trace_display': [0, -1, 3, -1], 'trace_hash': 244920445063618123, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.374', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '448.566', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '33677.826', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [12, 0, -1, 0, 3, 0, -1, 0, -10, 0, 4, 0, 18, 0, 1, 0, 3, 0, 4, 0, -28, 0, -18, 0, -3, 0, 23, 0, 15, 0, -8, 0, 4, 0, 6, 0, 6, 0, -33, 0, 2, 0, -36, 0, -10, 0, -16, 0, -16, 0, -10, 0, 19, 0, 6, 0, 62, 0, 46, 0, 18, 0, -7, 0, 2, 0, -44, 0, -1, 0, -6, 0, 25, 0, 4, 0, 10, 0, 19, 0, 30, 0, 0, 0, -3, 0, 6, 0, -50, 0, -46, 0, -37, 0, -4, 0, -31, 0, 79, 0, 7, 0, 46, 0, 3, 0, -9, 0, -74, 0, 58, 0, 1, 0, -17, 0, -30, 0, 11, 0, -8, 0, -10, 0, 3, 0, -85, 0, 21, 0, -40, 0, -46, 0, 2, 0, 27, 0, -46, 0, 46, 0, 33, 0, 5, 0, 71, 0, -21, 0, -33, 0, -22, 0, -2, 0, 1, 0, -15, 0, -12, 0, 41, 0, -24, 0, -20, 0, -7, 0, -56, 0, 25, 0, 14, 0, -100, 0, 31, 0, -32, 0, -17, 0, 9, 0, 78, 0, 151, 0, 105, 0, 9, 0, -32, 0, -18, 0, -24, 0, -70, 0, 54, 0, -2, 0, 84, 0, 58, 0, 17, 0, -27, 0, -9, 0, 68, 0, 4, 0, -20, 0, -16, 0, -10, 0, -16, 0, -41, 0, 82, 0, 59, 0, 16, 0, -47, 0, -18, 0, -94, 0, -72, 0, 1, 0, 34, 0, 85, 0, 71, 0, 36, 0, -25, 0, -20, 0, -1, 0, 1, 0, 42, 0, 46, 0, 48, 0, 0, 0, -11, 0, -95, 0, -6, 0, 70, 0, 42, 0, 54, 0, -51, 0, 18, 0, -164, 0, -32, 0, -51, 0, -5, 0, 44, 0, 23, 0, -37, 0, 38, 0, -1, 0, 12, 0, -128, 0, -188, 0, -2, 0, 5, 0, 7, 0, -1, 0, 20, 0, 56, 0, 82, 0, 18, 0, -53, 0, -50, 0, 38, 0, -6, 0, -26, 0, -47, 0, -135, 0, -67, 0, 17, 0, 1, 0, -2, 0, 29, 0, 140, 0, -48, 0, -19, 0, 103, 0, -104, 0, -11, 0, 14, 0, 15, 0, -15, 0, 89, 0, -146, 0, -112, 0, 6, 0, 82, 0, 131, 0, 89, 0, 53, 0, -45, 0, 66, 0, 16, 0, -38, 0, 11, 0, -44, 0, 12, 0, -117, 0, -124, 0, 6, 0, 40, 0, 96, 0, 22, 0, 56, 0, -49, 0, -10, 0, 58, 0, -72, 0, -83, 0, -67, 0, 3, 0, 33, 0, 97, 0, -125, 0, 26, 0, -41, 0, 56, 0, 128, 0, 168, 0, 79, 0, -35, 0, 73, 0, 27, 0, -62, 0, 62, 0, 46, 0, -43, 0, -18, 0, -74, 0, -120, 0, -18, 0, 114, 0, 73, 0, 9, 0, 72, 0, -11, 0, -115, 0, 9, 0, 66, 0, 98, 0, 66, 0, -49, 0, -113, 0, -5, 0, -71, 0, 51, 0, 0, 0, -11, 0, 142, 0, 6, 0, -2, 0, -214, 0, 17, 0, -186, 0, 42, 0, 44, 0, -12, 0, -42, 0, -44, 0, 49, 0, 17, 0, 52, 0, 78, 0, 40, 0, -10, 0, 9, 0, -144, 0, -92, 0, -22, 0, -80, 0, -6, 0, -42, 0, -94, 0, 236, 0, -141, 0, -8, 0, -59, 0, -83, 0, -55, 0, -38, 0, -1, 0, -151, 0, 25, 0, 30, 0, 146, 0, -8, 0, 95, 0, -2, 0, 140, 0, 77, 0, -50, 0, 24, 0, 62, 0, -16, 0, 6, 0, 84, 0, 53, 0, 97, 0, 69, 0, -218, 0, -77, 0, -89, 0, -149, 0, 27, 0, 70, 0, -60, 0, -144, 0, 106, 0, -278, 0, -149, 0, -3, 0, 22, 0, -4, 0, 4, 0, 6, 0, -45, 0, 112, 0, 172, 0, 10, 0, 56, 0, -21, 0, 66, 0, -62, 0, -67, 0, -90, 0, 50, 0, 112, 0, 16, 0, 300, 0, -61, 0, -4, 0, 78, 0, 92, 0, -87, 0, 139, 0, -2, 0, 0, 0, 39, 0, 28, 0, 62, 0, -7, 0, 122, 0, -35, 0, 91, 0, 25, 0, -29, 0, -80, 0, -13, 0, -16, 0, 182, 0, 104, 0, 186, 0, 35, 0, -79, 0, 183, 0, -18, 0, 53, 0, 16, 0, -26, 0, 2, 0, -20, 0, -104, 0, 83, 0, 91, 0, 84, 0, 19, 0, -206, 0, -21, 0, -18, 0, -80, 0, -9, 0, -90, 0, -226, 0, -98, 0, -7, 0, 33, 0, -186, 0, 104, 0, -99, 0, 127, 0, 32, 0, 30, 0, 60, 0, 90, 0, 105, 0, -8, 0, -71, 0, -6, 0, -26, 0, -136, 0, -1, 0, 94, 0, 5, 0, -18, 0, 26, 0, -50, 0, 77, 0, -42, 0, -3, 0, -251, 0, -98, 0, -116, 0, -106, 0, -28, 0, -172, 0, 54, 0, -15, 0, 259, 0, -47, 0, -10, 0, -41, 0, 145, 0, -144, 0, 118, 0, 28, 0, 10, 0, -68, 0, 19, 0, -14, 0, 16, 0, -18, 0, 249, 0, -86, 0, 48, 0, 37, 0, -24, 0, 94, 0, 12, 0, -35, 0, 48, 0, -25, 0, -120, 0, 36, 0, -45, 0, -52, 0, 6, 0, 100, 0, 20, 0, 98, 0, 87, 0, -80, 0, -75, 0, -29, 0, -377, 0, -159, 0, -31, 0, 110, 0, -28, 0, 32, 0, 284, 0, -23, 0, -28, 0, 157, 0, 92, 0, -70, 0, 42, 0, -22, 0, 28, 0, -169, 0, -104, 0, 6, 0, -3, 0, 5, 0, 171, 0, -20, 0, 7, 0, -51, 0, 36, 0, 51, 0, -16, 0, 154, 0, -316, 0, 33, 0, -247, 0, -25, 0, 60, 0, -109, 0, -109, 0, -5, 0, -120, 0, -14, 0, 178, 0, -188, 0, 97, 0, 59, 0, 32, 0, -65, 0, -193, 0, -125, 0, -176, 0, 33, 0, -8, 0, 12, 0, 166, 0, 105, 0, -11, 0, -81, 0, -79, 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], [0.0, 0.0], [-0.7884296925649592, 0.5728277019906349], [0.0, 0.0], [-0.1381966011250105, -0.42532540417601994], [0.0, 0.0], [0.05931114290094349, 0.0430920677021387], [0.0, 0.0], [-0.015527190424742992, 0.047787778348816735], [0.0, 0.0], [-0.9503371822269345, 0.3112221715703596], [0.0, 0.0], [-0.042435781467511764, 0.13060390600972768], [0.0, 0.0], [0.35259647761090185, 0.25617633620921026], [0.0, 0.0], [-0.37333694061493494, -1.1490129559499604], [0.0, 0.0], [-1.3477846388163768, 0.9792228586924426], [0.0, 0.0], [-0.07144699627890821, 0.0], [0.0, 0.0], [-0.5031885535431269, 0.0], [0.0, 0.0], [-0.16180339887498948, 0.11755705045849463], [0.0, 0.0], [-0.31628541010199696, -0.9734263997196397], [0.0, 0.0], [-0.3164541787098799, -0.22991741899773643], [0.0, 0.0], [-0.3644152533993928, 1.1215548260828596], [0.0, 0.0], [0.5709973710670474, -0.7897562652619278], [0.0, 0.0], [0.01013155275444237, -0.031181713118369876], [0.0, 0.0], [-0.9693736855556376, -0.7042912080854667], [0.0, 0.0], [-0.04135590521436909, -0.12728038864324395], [0.0, 0.0], [-0.14007359945364775, 0.10176942705386358], [0.0, 0.0], [-0.8327308401312081, 0.0], [0.0, 0.0], [0.022471161082604826, 0.0], [0.0, 0.0], [0.649411844308272, -0.4718253230803558], [0.0, 0.0], [-0.307356109001577, -0.9459448367243962], [0.0, 0.0], [0.9525363804264582, 0.6920581898521151], [0.0, 0.0], [-0.28607970948423, 0.880462812199494], [0.0, 0.0], [0.2637040644181839, 0.3611926998284023], [0.0, 0.0], [0.5017074485442784, -1.544096754862926], [0.0, 0.0], [0.8146806579388318, 0.5919001447359495], [0.0, 0.0], [0.5192523839063492, 1.5980945135875755], [0.0, 0.0], [-0.0029802095900741017, 0.002165249009558258], [0.0, 0.0], [0.061413639875448185, 0.0], [0.0, 0.0], [0.5491508091716852, 0.0], [0.0, 0.0], [0.39672879657221405, -0.28824034279410093], [0.0, 0.0], [0.013927923468282165, 0.04286574076536888], [0.0, 0.0], [1.3844661333484098, 1.0058735244607608], [0.0, 0.0], [0.06023066896403683, -0.18537093830366863], [0.0, 0.0], [-0.06977679130685824, -0.022493051504431233], [0.0, 0.0], [0.057497483180172386, -0.17695905741262757], [0.0, 0.0], [0.7663237039761489, 0.5567667611572631], [0.0, 0.0], [-0.2944267934129661, -0.9061524949903851], [0.0, 0.0], [-0.43711050362550646, 0.31757937032177197], [0.0, 0.0], [0.3812049376032186, 0.0], [0.0, 0.0], [0.19483956565664337, 0.0], [0.0, 0.0], [-0.008144907058667744, 0.0059176213647731705], [0.0, 0.0], [-0.35514186747788573, -1.0930142788983643], [0.0, 0.0], [0.602747614284684, 0.4379217754315945], [0.0, 0.0], [-0.40397929858131193, 1.24332043660331], [0.0, 0.0], [-0.00011654975609046321, -0.050246908543274814], [0.0, 0.0], [-0.030711215526025088, 0.09451940243108846], [0.0, 0.0], [0.7333368327805305, 0.5328003963678113], [0.0, 0.0], [0.00987373204633639, 0.03038822256948923], [0.0, 0.0], [-0.22287857752687829, 0.16193076515461696], [0.0, 0.0], [0.11796155557488183, 0.0], [0.0, 0.0], [1.167720511142999, 0.0], [0.0, 0.0], [0.73190859884193, -0.5317627236714774], [0.0, 0.0], [0.0695389478246705, 0.2140188749124773], [0.0, 0.0], [-0.005582362052213725, -0.004055823437656554], [0.0, 0.0], [0.027370303453416747, -0.0842371323460717], [0.0, 0.0], [0.8062815198460593, -0.5915320031534461], [0.0, 0.0], [0.052141837921538516, -0.16047607616917942], [0.0, 0.0], [0.0723606797749979, 0.05257311121191336], [0.0, 0.0], [-0.46790171064616803, -1.4400533918718503], [0.0, 0.0], [0.6565497202740086, -0.4770112935290908], [0.0, 0.0], [-0.9485060133869204, 0.0], [0.0, 0.0], [-0.12213538503479116, 0.0], [0.0, 0.0], [-0.37031340823483766, 0.2690484397732202], [0.0, 0.0], [-0.2536734786664393, -0.780726689109678], [0.0, 0.0], [-1.0676416714615782, -0.775687078987564], [0.0, 0.0], [-0.24174096519490498, 0.744002188841215], [0.0, 0.0], [-0.0003185302584854826, -0.13732470408572023], [0.0, 0.0], [-0.054056827252807506, 0.16636980730789222], [0.0, 0.0], [0.7841920895588177, 0.5697489031898698], [0.0, 0.0], [-0.15347351213498706, -0.4723429016903161], [0.0, 0.0], [-1.148319132872603, 0.8343026857541849], [0.0, 0.0], [0.0607056502283745, 0.0], [0.0, 0.0], [0.5273867091271636, 0.0], [0.0, 0.0], [-1.2326243524514502, 0.8955540131110475], [0.0, 0.0], [-0.2787997520027238, -0.8580574069073263], [0.0, 0.0], [-0.029844688205315453, -0.021683435216221666], [0.0, 0.0], [-0.002444598394888533, 0.007523700234953487], [0.0, 0.0], [-0.4148132986558558, -0.13371805605615616], [0.0, 0.0], [0.2688518660174711, -0.8274409619808177], [0.0, 0.0], [0.7937604096587081, 0.5767006946640086], [0.0, 0.0], [-0.0258675761868438, -0.07961221337687578], [0.0, 0.0], [-0.49885337582148465, 0.3624381927733498], [0.0, 0.0], [-0.014662520889754047, 0.0], [0.0, 0.0], [-0.9813752203943501, 0.0], [0.0, 0.0], [1.2866656474789153, -0.9348173122169856], [0.0, 0.0], [0.19802977575901176, 0.6094729807240176], [0.0, 0.0], [-1.3248268051891177, -0.9625430162113673], [0.0, 0.0], [-0.1655887941727547, 0.5096299057661887], [0.0, 0.0], [0.7123942834784462, 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[-0.5754143704153271, -0.4180630113321649], [0.0, 0.0], [0.02080981812528504, 0.06404603465580096], [0.0, 0.0], [0.37318572060128385, -0.27113529686115906], [0.0, 0.0], [1.1184673019602074, 0.0], [0.0, 0.0], [0.05949611723618654, 0.0], [0.0, 0.0], [0.231857299929363, -0.16845418882717655], [0.0, 0.0], [-0.2605732776745356, -0.8019620869267142], [0.0, 0.0], [-0.00404001336139155, -0.0029352415207608523], [0.0, 0.0], [0.004943475627868996, -0.015214453556319507], [0.0, 0.0], [0.561819476488997, 0.769518262742588], [0.0, 0.0], [-0.22630743585046262, 0.6965026696573136], [0.0, 0.0], [-0.05625697570239586, -0.040873085344754846], [0.0, 0.0], [0.3086148645044715, 0.9498188878129834], [0.0, 0.0], [-0.7273109719057859, 0.5284223521744656], [0.0, 0.0], [-0.0061894754945538396, 0.0], [0.0, 0.0], [0.23964235418925484, 0.0], [0.0, 0.0], [-0.03684800789384787, 0.026771644807157727], [0.0, 0.0], [0.09715764292158824, 0.2990204781305239], [0.0, 0.0], [1.3405406495413166, 0.9739597924116966], [0.0, 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-0.1813293742977533, 0.15036444661782206, -0.2522385783686077, -0.3637953505387079, -0.318348147109862, -0.2842690606509356, 0.1265931611065918, -0.06602263368439928, 0.10877184689571048, -0.20573135373929166, -0.0464130038466136, 0.013420278454804334, -0.4351719144597765, -0.47097206059705654, -0.23447052959579964, 0.16338203936712747, -0.45791195250903155, -0.0751363337709578, -0.3719929692274066, -0.2406074666059711, -0.2752938960972514, -0.4133124294760273, -0.3286409014082184, -0.48268541275847926, -0.2646877306435798, -0.08994010461975425, -0.47558481223926846, -0.48784297541032856, -0.45062952999356787, -0.3783721585638471, -0.3998814245617204, -0.20368210172859966, 0.0019118348553245406, -0.02004186592347025, 0.006842571104171482, -0.3363463474609587, -0.3819806212314432, -0.40232870929712355, -0.3518541104788383, -0.06625467282386138, 0.22306791249818236, -0.445608490216745, -0.380172208084897, -0.4131783850541157, -0.332098812004693, -0.26381889062438635, -0.2580833736005341, 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-0.20761830696318365, -0.0501865975763097, -0.2430831557042632, -0.22153398660670284, -0.2859900548447179, -0.2652445150390079, -0.48073144177471844, -0.44872695193728007, 0.03321378339594909, -0.024875930983568113, -0.3894384891271593, 0.16025131228129694, -0.3056082294341702, -0.13348934019722306, -0.10922249792155872, -0.27404867212724937, -0.4584298271676697, -0.1793150901576638, -0.17431048649872746, -0.21551458972697962], 'char_orbit_index': 25, 'conrey_index': 361, 'dual_conrey_index': 401, 'dual_embedding_index': 1, 'dual_embedding_m': 10, 'embedding_index': 1, 'embedding_m': 7, 'embedding_root_imag': 2.5564159332385024, 'embedding_root_real': 0.8306298884728159, 'hecke_orbit': 3, 'hecke_orbit_code': 9008848555737528, 'label': '440.2.y.c.361.1', 'level': 440, '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': 1760, 'analytic_conductor': 3.513417688936337, 'char_conductor': 11, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 5, 'char_parity': 1, 'char_values': [440, 5, [111, 221, 177, 321], [5, 5, 5, 1]], 'conrey_index': 81, 'cusp_dim': 256, 'dim': 48, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1649300996536, 'hecke_orbit_dims': [8, 12, 12, 16], 'label': '440.2.y', 'level': 440, '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': 320, 'mf_new_dim': 48, 'num_forms': 4, 'prim_orbit_index': 3, 'relative_dim': 12, 'sturm_bound': 144, 'trace_bound': 7, 'trace_display': [0, -4, 0, 0], 'traces': [48, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, 0, 0, 0, 16, 0, 14, 0, -16, 0, 16, 0, -12, 0, 14, 0, 12, 0, -12, 0, -26, 0, 8, 0, -8, 0, -44, 0, -6, 0, -60, 0, 0, 0, -40, 0, -46, 0, -34, 0, 48, 0, 16, 0, -14, 0, 26, 0, 48, 0, 48, 0, 44, 0, -12, 0, 64, 0, 68, 0, 52, 0, 6, 0, -36, 0, 36, 0, -62, 0, 42, 0, -4, 0, 40, 0, -48, 0, -14, 0, 16, 0, 0, 0, -50, 0, 12, 0, -40, 0, -4, 0, -8, 0, 24, 0, -32, 0, 80, 0, -30, 0, -20, 0, -108, 0, -144, 0, 16, 0, -124, 0, 0, 0, -96, 0, 2, 0, 12, 0, -80, 0, 12, 0, 18, 0, -86, 0, 56, 0, -108, 0, 16, 0, -96, 0, -32, 0, -24, 0, 56, 0, 0, 0, 72, 0, 36, 0, 32, 0, 12, 0, -56, 0, 20, 0, -26, 0, 68, 0, -16, 0, 0, 0, 64, 0, 52, 0, 24, 0, -8, 0, -26, 0, 70, 0, 48, 0, 64, 0, 28, 0, 24, 0, 88, 0, 96, 0, -6, 0, -8, 0, -24, 0, 124, 0, 112, 0, -38, 0, 8, 0, 0, 0, 44, 0, 108, 0, 88, 0, 28, 0, 0, 0, 186, 0, 48, 0, -108, 0, -10, 0, -4, 0, -32, 0, 8, 0, -112, 0, 248, 0, -16, 0, -24, 0, 146, 0, 48, 0, -76, 0, -28, 0, -80, 0, 90, 0, -44, 0, 104, 0, 44, 0, 58, 0, -88, 0, 40, 0, -72, 0, 6, 0, -120, 0, -132, 0, 38, 0, 48, 0, 112, 0, -112, 0, -32, 0, -156, 0, -16, 0, 96, 0, -134, 0, -114, 0, -16, 0, 96, 0, 8, 0, -220, 0, -144, 0, -44, 0, 36, 0, 66, 0, -120, 0, -132, 0, -48, 0, -8, 0, -4, 0, -228, 0, -72, 0, -64, 0, 24, 0, -28, 0, -122, 0, -122, 0, 72, 0, 12, 0, 24, 0, 120, 0, 16, 0, 240, 0, 12, 0, -8, 0, 292, 0, -68, 0, -30, 0, -34, 0, -32, 0, 72, 0, 68, 0, -152, 0, 56, 0, 0, 0, -24, 0, 62, 0, -24, 0, -84, 0, -130, 0, 96, 0, 44, 0, -108, 0, -58, 0, -216, 0, 168, 0, -8, 0, -176, 0, -204, 0, -32, 0, 116, 0, -34, 0, -106, 0, -96, 0, -108, 0, 216, 0, 24, 0, 68, 0, -112, 0, -34, 0, 296, 0, 152, 0, 4, 0, -2, 0, -12, 0, 148, 0, 232, 0, 112, 0, 44, 0, 48, 0, 240, 0, 138, 0, 2, 0, 80, 0, -40, 0, -22, 0, 54, 0, -88, 0, -368, 0, 20, 0, -40, 0, 136, 0, -76, 0, 312, 0, -6, 0, -28, 0, 128, 0, 70, 0, 120, 0, 72, 0, 12, 0, -2, 0, 112, 0, -44, 0, 112, 0, 52, 0, 78, 0, -92, 0, 84, 0, 40, 0, -508, 0, -144, 0, -64, 0, 134, 0, 42, 0, -236, 0, -12, 0, 64, 0, -64, 0, 24, 0, -88, 0, -60, 0, 122, 0, -84, 0, 72, 0, -278, 0, -190, 0, -40, 0, -172, 0, -8, 0, 38, 0, -256, 0, 144, 0, -20, 0, -64, 0, -200, 0, -188, 0, -60, 0, 90, 0, 16, 0, -228, 0, -100, 0, -4, 0, -80, 0, -4, 0, 184, 0, -400, 0, 20, 0, 52, 0, -90, 0, -182, 0, 164, 0, 132, 0, -172, 0, 24, 0, 48, 0, 232, 0, -36, 0, -254, 0, -112, 0, 20, 0, -28, 0, 40, 0, -176, 0, -40, 0, 156, 0, 30, 0, -252, 0, 88, 0, -12, 0, 366, 0, -92, 0, 84, 0, -96, 0, 56, 0, 440, 0, 304, 0, -152, 0, 170, 0, -152, 0, 112, 0, 70, 0, -68, 0, -32, 0, -8, 0, 114, 0, 160, 0, -8, 0, 184, 0, 30, 0, 256, 0, 312, 0, -232, 0, 196, 0, -6, 0, 16, 0, 144, 0, 0, 0, 312, 0, 24, 0, 40, 0, 226, 0, 40, 0, 376, 0, 36, 0, 114, 0, 44, 0, 136, 0, 224, 0, 184, 0, 96, 0, 56, 0, -148, 0, 296, 0, 76, 0, 160, 0, 28, 0, -14, 0, 6, 0, -8, 0, -200, 0, -30, 0, -30, 0, 204, 0, 204, 0, -274, 0, -64, 0, 356, 0, 100, 0, 56, 0, -572, 0, -224, 0, -260, 0, -120, 0, 156, 0, -252, 0, -80, 0, 92, 0, 416, 0, 64, 0, -128, 0, -420, 0, 132, 0, -100, 0, -12, 0, -496, 0, -156, 0, -92, 0, 76, 0, -2, 0, -44, 0, -212, 0, -128, 0, -136, 0, -176, 0, -44, 0, -188, 0, 156, 0, -52, 0, -40, 0, 192, 0, -158, 0, 166, 0, -720, 0, -136, 0, -6, 0, 294, 0, 88, 0, -88, 0, -26, 0, 212, 0, -104, 0, -52, 0, -34, 0, -164, 0, 168, 0, 12, 0, 80, 0, -346, 0, -104, 0, 468, 0, 208, 0, -18, 0, 32, 0, -256, 0, 436, 0, 176, 0, -76, 0, 80, 0, -74, 0, 278, 0, 204, 0, 56, 0, -26, 0, 8, 0, 160, 0, -32, 0, -80, 0, -304, 0, -48, 0, 36, 0, 326, 0, -154, 0, -24, 0, 24, 0, 64, 0, -24, 0, 40, 0, -264, 0, -8, 0, -292, 0, 544, 0, -32, 0, -44, 0, 48, 0, -24, 0, -96, 0, -406, 0, -104, 0, 32, 0, -256, 0, -340, 0, -40, 0, 176, 0, 72, 0, -256, 0, 326, 0, 244, 0, -12, 0, 184, 0, -524, 0, 44, 0, -144, 0, -32, 0, 64, 0, -300, 0, -84, 0, -60, 0, -488, 0, 12, 0, -392, 0, -804, 0, 42, 0, -112, 0, 36, 0, -348, 0, -214, 0, 16, 0, -272, 0, 100, 0, 108, 0, -432, 0, 416, 0, 266, 0, -20, 0, -292, 0, -376, 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: 41698957
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 361, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008848555737528, 'target_is_minimal': True, 'target_label': '440.2.y.c.361.1', 'target_level': 440, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41698958
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 801, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36031545831588720, 'target_is_minimal': False, 'target_label': '880.2.bo.i.801.3', 'target_level': 880, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41698959
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 121597189972562664, 'target_is_minimal': False, 'target_label': '4840.2.a.bb.1.5', 'target_level': 4840, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '11.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 41698960
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 401, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008848555737528, 'target_is_minimal': True, 'target_label': '440.2.y.c.401.1', 'target_level': 440, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '11.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41698961
    {'conductor': 11, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 117093590345192168, 'target_is_minimal': False, 'target_label': '4840.2.a.ba.1.5', 'target_level': 4840, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '11.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 41698962
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 364791569850574288, 'target_is_minimal': False, 'target_label': '9680.2.a.dd.1.2', 'target_level': 9680, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '44.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 41698963
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 360287970223203792, 'target_is_minimal': False, 'target_label': '9680.2.a.dc.1.2', 'target_level': 9680, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '44.15', 'twisting_conrey_index': 15, 'weight': 2}
  • id: 41698964
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 361, 'source_dim': 12, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008848555737528, 'source_is_minimal': True, 'source_label': '440.2.y.c.361.1', 'source_level': 440, 'target_conrey_index': 401, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36031545831588720, 'target_is_minimal': False, 'target_label': '880.2.bo.i.401.3', 'target_level': 880, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '44.27', 'twisting_conrey_index': 27, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 889125
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9008848555737528, 'p': 2}
  • id: 889126
    {'charpoly_factorization': [[[25, 200, 665, 565, 651, 191, 165, 54, 29, -6, 10, 1, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 3}
  • id: 889127
    {'charpoly_factorization': [[[1, -1, 1, -1, 1], 3]], 'hecke_orbit_code': 9008848555737528, 'p': 5}
  • id: 889128
    {'charpoly_factorization': [[[4096, -36352, 128320, -68728, 36273, -12227, 5445, -575, 342, 41, 19, 1, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 7}
  • id: 889129
    {'charpoly_factorization': [[[1771561, -644204, 175692, -3993, 968, 1342, 523, 122, 8, -3, 12, -4, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 11}
  • id: 889130
    {'charpoly_factorization': [[[6400, -9600, 28160, -62060, 84641, -72792, 44255, -19092, 5849, -1248, 185, -18, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 13}
  • id: 889131
    {'charpoly_factorization': [[[366025, 1064800, 1377585, 838035, 291801, 57689, 16239, -392, 1089, -104, 46, -3, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 17}
  • id: 889132
    {'charpoly_factorization': [[[95863681, -75469028, 34673291, -10926076, 3154221, -675494, 123501, -14118, 1544, -70, 42, -4, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 19}
  • id: 889133
    {'charpoly_factorization': [[[5956, 5228, 425, -452, -48, 9, 1], 2]], 'hecke_orbit_code': 9008848555737528, 'p': 23}
  • id: 889134
    {'charpoly_factorization': [[[1210000, 2123000, 8524400, 977020, -458519, -176530, 169607, -39685, 8544, -1225, 163, -15, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 29}
  • id: 889135
    {'charpoly_factorization': [[[12931216, -27466248, 23635792, -3074396, 2928817, -527808, 108041, -1764, 3793, 348, 81, 8, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 31}
  • id: 889136
    {'charpoly_factorization': [[[3610000, -1919000, 2499100, -1564590, 925571, -357309, 97787, -15547, 1450, 37, 7, -6, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 37}
  • id: 889137
    {'charpoly_factorization': [[[14250625, 16043750, 10148250, 4350500, 4857050, 290850, 65145, -3170, 2601, 212, 89, -2, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 41}
  • id: 889138
    {'charpoly_factorization': [[[3751, -2464, -1949, -161, 85, 18, 1], 2]], 'hecke_orbit_code': 9008848555737528, 'p': 43}
  • id: 889139
    {'charpoly_factorization': [[[86192656, 73436440, 106995216, 22492804, 4214041, 996508, 273037, 2552, 3349, 1360, 241, 16, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 47}
  • id: 889140
    {'charpoly_factorization': [[[39921638416, 3133326328, 731285556, -66888938, 40046127, -5358785, 1674255, -200179, 33418, -2839, 275, -19, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 53}
  • id: 889141
    {'charpoly_factorization': [[[138274081, 101515447, 758341461, -680290892, 294857262, -81628135, 16040045, -2328486, 252898, -20336, 1180, -46, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 59}
  • id: 889142
    {'charpoly_factorization': [[[43824400, 23368600, 15869560, -1448280, -702399, -196596, 874749, -132532, 21964, -2824, 326, -18, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 61}
  • id: 889143
    {'charpoly_factorization': [[[126475, 91125, -8565, -4065, -104, 22, 1], 2]], 'hecke_orbit_code': 9008848555737528, 'p': 67}
  • id: 889144
    {'charpoly_factorization': [[[384400, -942400, 3312240, -2438010, 992691, -246899, 251475, 11559, -506, -221, 75, 6, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 71}
  • id: 889145
    {'charpoly_factorization': [[[692275584961, -159833155100, 30544665765, -2812560733, 286726565, -27865095, 6476079, -744590, 89655, -6412, 470, -25, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 73}
  • id: 889146
    {'charpoly_factorization': [[[45212176, -87116144, 86779944, -47115806, 18645603, -2048303, 256314, -169, 10057, -2827, 428, -19, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 79}
  • id: 889147
    {'charpoly_factorization': [[[1890625, 176859375, 6324940625, 837150000, 171861250, 9850625, 1591875, 39750, 18700, 50, 180, 0, 1], 1]], 'hecke_orbit_code': 9008848555737528, 'p': 83}
  • id: 889148
    {'charpoly_factorization': [[[-22429, 58121, -16681, -4498, -59, 25, 1], 2]], 'hecke_orbit_code': 9008848555737528, 'p': 89}
  • id: 889149
    {'charpoly_factorization': [[[27124443025, -22125126300, 7394373215, -688542665, -27727224, -6223297, 4966556, 1009239, 148404, 12287, 839, 31, 1], 1]], 'hecke_orbit_code': 9008848555737528, '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': 25, 'hecke_orbit': 3, 'label': '440.2.y.c', 'level': 440, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32017777
    {'hecke_orbit_code': 9008848555737528, 'n': 1, 'trace_an': 12}
  • id: 32017778
    {'hecke_orbit_code': 9008848555737528, 'n': 2, 'trace_an': 0}
  • id: 32017779
    {'hecke_orbit_code': 9008848555737528, 'n': 3, 'trace_an': -1}
  • id: 32017780
    {'hecke_orbit_code': 9008848555737528, 'n': 4, 'trace_an': 0}
  • id: 32017781
    {'hecke_orbit_code': 9008848555737528, 'n': 5, 'trace_an': 3}
  • id: 32017782
    {'hecke_orbit_code': 9008848555737528, 'n': 6, 'trace_an': 0}
  • id: 32017783
    {'hecke_orbit_code': 9008848555737528, 'n': 7, 'trace_an': -1}
  • id: 32017784
    {'hecke_orbit_code': 9008848555737528, 'n': 8, 'trace_an': 0}
  • id: 32017785
    {'hecke_orbit_code': 9008848555737528, 'n': 9, 'trace_an': -10}
  • id: 32017786
    {'hecke_orbit_code': 9008848555737528, 'n': 10, 'trace_an': 0}
  • id: 32017787
    {'hecke_orbit_code': 9008848555737528, 'n': 11, 'trace_an': 4}
  • id: 32017788
    {'hecke_orbit_code': 9008848555737528, 'n': 12, 'trace_an': 0}
  • id: 32017789
    {'hecke_orbit_code': 9008848555737528, 'n': 13, 'trace_an': 18}
  • id: 32017790
    {'hecke_orbit_code': 9008848555737528, 'n': 14, 'trace_an': 0}
  • id: 32017791
    {'hecke_orbit_code': 9008848555737528, 'n': 15, 'trace_an': 1}
  • id: 32017792
    {'hecke_orbit_code': 9008848555737528, 'n': 16, 'trace_an': 0}
  • id: 32017793
    {'hecke_orbit_code': 9008848555737528, 'n': 17, 'trace_an': 3}
  • id: 32017794
    {'hecke_orbit_code': 9008848555737528, 'n': 18, 'trace_an': 0}
  • id: 32017795
    {'hecke_orbit_code': 9008848555737528, 'n': 19, 'trace_an': 4}
  • id: 32017796
    {'hecke_orbit_code': 9008848555737528, 'n': 20, 'trace_an': 0}
  • id: 32017797
    {'hecke_orbit_code': 9008848555737528, 'n': 21, 'trace_an': -28}
  • id: 32017798
    {'hecke_orbit_code': 9008848555737528, 'n': 22, 'trace_an': 0}
  • id: 32017799
    {'hecke_orbit_code': 9008848555737528, 'n': 23, 'trace_an': -18}
  • id: 32017800
    {'hecke_orbit_code': 9008848555737528, 'n': 24, 'trace_an': 0}
  • id: 32017801
    {'hecke_orbit_code': 9008848555737528, 'n': 25, 'trace_an': -3}
  • id: 32017802
    {'hecke_orbit_code': 9008848555737528, 'n': 26, 'trace_an': 0}
  • id: 32017803
    {'hecke_orbit_code': 9008848555737528, 'n': 27, 'trace_an': 23}
  • id: 32017804
    {'hecke_orbit_code': 9008848555737528, 'n': 28, 'trace_an': 0}
  • id: 32017805
    {'hecke_orbit_code': 9008848555737528, 'n': 29, 'trace_an': 15}
  • id: 32017806
    {'hecke_orbit_code': 9008848555737528, 'n': 30, 'trace_an': 0}
  • id: 32017807
    {'hecke_orbit_code': 9008848555737528, 'n': 31, 'trace_an': -8}
  • id: 32017808
    {'hecke_orbit_code': 9008848555737528, 'n': 32, 'trace_an': 0}
  • id: 32017809
    {'hecke_orbit_code': 9008848555737528, 'n': 33, 'trace_an': 4}
  • id: 32017810
    {'hecke_orbit_code': 9008848555737528, 'n': 34, 'trace_an': 0}
  • id: 32017811
    {'hecke_orbit_code': 9008848555737528, 'n': 35, 'trace_an': 6}
  • id: 32017812
    {'hecke_orbit_code': 9008848555737528, 'n': 36, 'trace_an': 0}
  • id: 32017813
    {'hecke_orbit_code': 9008848555737528, 'n': 37, 'trace_an': 6}
  • id: 32017814
    {'hecke_orbit_code': 9008848555737528, 'n': 38, 'trace_an': 0}
  • id: 32017815
    {'hecke_orbit_code': 9008848555737528, 'n': 39, 'trace_an': -33}
  • id: 32017816
    {'hecke_orbit_code': 9008848555737528, 'n': 40, 'trace_an': 0}
  • id: 32017817
    {'hecke_orbit_code': 9008848555737528, 'n': 41, 'trace_an': 2}
  • id: 32017818
    {'hecke_orbit_code': 9008848555737528, 'n': 42, 'trace_an': 0}
  • id: 32017819
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  • id: 32017823
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  • id: 32017824
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  • id: 32017825
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  • id: 32017826
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  • id: 32017827
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  • id: 32017828
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  • id: 32017829
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  • id: 32017831
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  • id: 32017832
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  • id: 32017833
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  • id: 32017835
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  • id: 32017837
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  • id: 32017839
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  • id: 32017840
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  • id: 32017841
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  • id: 32017844
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  • id: 32017867
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  • id: 32017888
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  • id: 32017889
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  • id: 32017890
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  • id: 32017891
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  • id: 32017892
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  • id: 32017893
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  • id: 32017894
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  • id: 32017895
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  • id: 32017896
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  • id: 32017897
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  • id: 32017898
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  • id: 32017899
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  • id: 32017900
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  • id: 32017902
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  • id: 32017903
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  • id: 32017904
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  • id: 32017905
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  • id: 32017906
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  • id: 32017907
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  • id: 32017908
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  • id: 32017909
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  • id: 32017910
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  • id: 32017911
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  • id: 32017912
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  • id: 32017913
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  • id: 32017914
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  • id: 32017915
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  • id: 32017916
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  • id: 32017917
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  • id: 32017918
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  • id: 32017919
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  • id: 32017920
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  • id: 32017921
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  • id: 32017922
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  • id: 32017923
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  • id: 32017924
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  • id: 32017925
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  • id: 32017926
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  • id: 32017927
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  • id: 32017928
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  • id: 32017929
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  • id: 32017930
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  • id: 32017931
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  • id: 32017932
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  • id: 32017933
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  • id: 32017934
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  • id: 32017935
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  • id: 32017936
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  • id: 32017937
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  • id: 32017938
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  • id: 32017939
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  • id: 32017940
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  • id: 32017941
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  • id: 32017942
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  • id: 32017943
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  • id: 32017944
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  • id: 32017945
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  • id: 32017946
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  • id: 32017947
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  • id: 32017948
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  • id: 32017949
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  • id: 32017950
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  • id: 32017951
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  • id: 32017952
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  • id: 32017953
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  • id: 32017954
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  • id: 32017955
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  • id: 32017956
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  • id: 32017957
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  • id: 32017958
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  • id: 32017959
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  • id: 32017960
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  • id: 32017961
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  • id: 32017962
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  • id: 32017963
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  • id: 32017964
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  • id: 32017965
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  • id: 32017966
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  • id: 32017967
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  • id: 32017968
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  • id: 32017969
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  • id: 32017970
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  • id: 32017971
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  • id: 32017972
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  • id: 32017973
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  • id: 32017974
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  • id: 32017975
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  • id: 32017976
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  • id: 32017977
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  • id: 32017978
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  • id: 32017979
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  • id: 32017980
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  • id: 32017981
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  • id: 32017982
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  • id: 32017983
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  • id: 32017984
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  • id: 32017985
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  • id: 32017986
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  • id: 32017987
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  • id: 32017988
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  • id: 32017989
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  • id: 32017990
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  • id: 32017991
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  • id: 32017992
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  • id: 32017993
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  • id: 32017994
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  • id: 32017995
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  • id: 32017996
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  • id: 32017997
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  • id: 32017998
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  • id: 32017999
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  • id: 32018000
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  • id: 32018001
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  • id: 32018002
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  • id: 32018003
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  • id: 32018004
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  • id: 32018005
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  • id: 32018006
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  • id: 32018007
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  • id: 32018008
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  • id: 32018009
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  • id: 32018010
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  • id: 32018011
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  • id: 32018012
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  • id: 32018013
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  • id: 32018014
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  • id: 32018015
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  • id: 32018016
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  • id: 32018017
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  • id: 32018018
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  • id: 32018019
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  • id: 32018020
    {'hecke_orbit_code': 9008848555737528, 'n': 907, 'trace_an': -28}
  • id: 32018021
    {'hecke_orbit_code': 9008848555737528, 'n': 911, 'trace_an': 92}
  • id: 32018022
    {'hecke_orbit_code': 9008848555737528, 'n': 919, 'trace_an': 28}
  • id: 32018023
    {'hecke_orbit_code': 9008848555737528, 'n': 929, 'trace_an': 5}
  • id: 32018024
    {'hecke_orbit_code': 9008848555737528, 'n': 937, 'trace_an': -51}
  • id: 32018025
    {'hecke_orbit_code': 9008848555737528, 'n': 941, 'trace_an': 51}
  • id: 32018026
    {'hecke_orbit_code': 9008848555737528, 'n': 947, 'trace_an': -316}
  • id: 32018027
    {'hecke_orbit_code': 9008848555737528, 'n': 953, 'trace_an': -25}
  • id: 32018028
    {'hecke_orbit_code': 9008848555737528, 'n': 961, 'trace_an': -5}
  • id: 32018029
    {'hecke_orbit_code': 9008848555737528, 'n': 967, 'trace_an': 178}
  • id: 32018030
    {'hecke_orbit_code': 9008848555737528, 'n': 971, 'trace_an': 97}
  • id: 32018031
    {'hecke_orbit_code': 9008848555737528, 'n': 977, 'trace_an': -65}
  • id: 32018032
    {'hecke_orbit_code': 9008848555737528, 'n': 983, 'trace_an': -176}
  • id: 32018033
    {'hecke_orbit_code': 9008848555737528, 'n': 991, 'trace_an': 166}
  • id: 32018034
    {'hecke_orbit_code': 9008848555737528, 'n': 997, 'trace_an': -81}